SlideShare a Scribd company logo
1 of 4
Download to read offline
Advanced Materials Research Vol. 569 (2012) pp 376-379
© (2012) Trans Tech Publications, Switzerland
doi:10.4028/www.scientific.net/AMR.569.376


            Dynamic shear stress evaluation on micro-turning tool using
                                  photoelasticity

                  Soumen Mandal1, a, Anirudh Kumar1, b and Nagahanumaiah1, c
                                1
                                 CSIR-Central Mechanical Engineering Research Institute
              a
               somandal88@rediffmail.com, banirudhkumar2@gmail.com, cnaga@cmeri.res.in

Keywords: Polariscope, Poledioscope, Dynamic Photoelasticity, Micro-turning, Shear stress.

Abstract. The paper presents an experimental methodology for evaluation of shear stress induced
on a micro-turning tool during micro-turning operation. A micro-turning tool manufactured by
Sandvik Coromant was used for micro- turning of a brass spindle. The front face of the tool was
cleaned, polished and coated with a thin layer of Ethylene-Vinyl Acetate (EVA), a birefringent
material. Subsequently, reflection photoelastic experiments were conducted to find the shear
stresses induced on the micro-tool. A custom designed grey field poledioscope was used for this
purpose which was pre-calibrated and verified using disk under compression test. The tool was
subjected to turning operation and dynamic images of the tool were captured using Casio ELIXIM
ZR-200 camera in high speed movie mode at 1000 fps (frames per second) for four different
orientations of the analyzer simultaneously. These images were processed using a code developed in
MATLAB software to generate a shear stress map of the tool dynamically at different time instants
of the machining process.

Introduction
Micro machining industry and its related applications have undergone significant progress in
today’s world of miniaturization due to its outstanding performance in generating miracles ranging
from tiny micro holes to 3- D complex micro features. Lot of efforts have been focused to maintain
reliability, accuracy, precision machining characteristics and efficacy of micro machining process by
various researchers [1, 2]. However, research pertaining to health monitoring of cutting tool to
prevent breakage during dynamic operation is limited in literature. Tool breakage may occur due to
various reasons like increase in temperature, shearing, plowing, spindle vibration, high feed etc. It is
a well established fact that shear stress on any material results in material fatigue. The same is
applicable on machining tools during operation and hence is a prevalent cause for tool failure [3]. It
becomes mandatory to evaluate the shear stress induced on the micro tool during cutting operations
so that desired performance and tool life can be achieved. In this paper authors have proposed a
process for shear stress measurement on micro-turning tool using photoelasticity. Photoelasticity is
a well known and established phenomenon to evaluate stress on a material experimentally. The
phenomenon is based on the property of birefringence, an unique property exhibited by few
materials like calcite, plastics, glass, sapphire etc, showing double indices of refraction when stress
is induced on the material. In order to visualize photoelasticity and correlate it mathematically to
find desired stress parameters a polariscope is used. We have used a grey field polariscope for our
application. A grey field polariscope works on detection of distribution of intensity (grey levels) on
the image which is simple to acquire and process. Further it uses a very simple set of mathematical
equations to evaluate stress parameters. Due to its simplicity of implementation and mathematical
calculations authors use a grey field polariscope which was modified and customized into a grey
field poledioscope for the purpose.




All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of TTP,
www.ttp.net. (ID: 117.227.9.47-13/08/12,16:03:33)
Advanced Materials Research Vol. 569                                          377



Experimental set up

Micro machining center
In order to conduct micro-turning process a micro machining center manufactured by Mikrotools
DT 110, Singapore was used. Fig. 1 shows the set up of the center with tool mounted on tool holder,
a brass spindle for micro-turning fixed on work piece holder along with the custom designed grey
field poledioscope.
Processing the micro-turning tool
For photoelastic experiment it is mandatory that the sample under investigation must be
birefringent. The tool used here manufactured by Sandvik Coromant (MAFL3010 1025) is a
metallic micro tool and hence was devoid of such property. The front plane of the tool was coated
with a thin layer of ethylene-vinyl-acetate, a photoelastic material.
Development of Grey field polariscope and poledioscope
A grey Field Polariscope (GFP) is combination of both plane and circular polariscope. It uses a
linear and a circular polarizing plate as its polarizer but only a linear polarizing plate as its analyzer.
Further, the analyzer rotates and a camera synchronized with it captures images at specified
orientations. In literature commonly GFP camera captures 3 or more images for every half circle
rotation of the analyzer. These images are processed mathematically to find stress parameters
present in the sample [4]. A poledioscope is a combination of a polariscope and a kaleidoscope.
From design point of view, the polarizer section of a poledioscope is same as a polariscope but in
the analyzer part, a multi image lens (beam splitter) or a kaleidoscope is used. Thus 4 different
images can be captured for 4 different orientations of linearly polarizing plates of analyzer in a
single shot. Fig. 2 shows the schematic of a typical polariscope along with the modifications. The
designed poledioscope can be visualized from Fig. 1.




               Fig. 1 Experimental set up                     Fig. 2 A polariscope and modifications

Experimental procedure
Before we describe the procedure, we present here a brief overview of the mathematics used to
determine quantitative values of stress from images captured using poledioscope which would be
used recursively in each step of the experimental process. The equations and procedure used here
can be found in detail in [5].
Eq. 1, 2 and 3 were used for processing the images.
378                                      Advanced Materials Design and Mechanics




                   (( I                                  )
                                                             1
              1
                          3 − I1 ) + ( I 4 − I 2 )
                                  2                  2           2
        ∆=                                                                                          (1)
             2Ia

             1             I1 − I 3 
        β = tan −1                                                                                (2)
             2             I4 − I2 

             2π C (2t )
        ∆=                  (σ 11 − σ 22 )                                                          (3)
                   λ

C is the stress optic coefficient, t is the specimen thickness (2t is used as light travels through the
coating twice in reflection photoelasticity), σ11 and σ22 are the principal stresses, λ is the wavelength
of light used, I1, I2, I3 and I4 are the intensity of each image pixel captured by the camera.. From
equation 3, we can find the value of difference of principal stresses (σ11- σ22) provided that C, t and
λ are known. The specimen thickness (t) and wavelength of light (λ) are already known parameters
from experimental set up. The value of stress optic coefficient (C) can be found by calibrating the
polariscope with standard known stressed specimen.
From Mohr circle the shear stress Γ12 is given by Eq. 4.

                (σ 11 − σ 22 )
       τ 12 =                  tan 2 β                                                              (4)
                      2

Calibration and testing of the instrument
A circular disk with diameter 9.1 cm and thickness 1.69 mm, coated with EVA layer of thickness
1.29 mm was subjected to compressive loading under load of 4.68 N. A schematic is presented in
Fig. 3.
From theory of linear elasticity [6], the solutions for the normal stresses are given by Eq. 5, 6 and 7.

                                                 2
                     2P  D2 − 4 x2 
       σ x = σ 11 =                                                                               (5)
                    π hD  D 2 + 4 x 2 

                                                 
                         2P        4D4
       σ y = σ 22    =−                        − 1                                                 (6)
                        π hD  ( D 2 + 4 x 2 )2 
                                                 

                                                
                          8P  D 4 − 4 D 2 x 2 
       σ 11 − σ 22     =                                                                            (7)
                         π hD  ( D 2 + 4 x 2 )2 
                                                

Where, P is the applied load, h and D are the sample thickness and diameter respectively. The
values of ∆ (phase lag) on X axis of the disk were scanned with respect to position of the point on
the axis and a smooth and continuous curve was obtained by fitting these data points in MATLAB.
The calculated stress using the continuous curve so obtained was linked with the stress values
obtained using mathematical equations and the stress optic coefficient for the material was
determined. The calculated value for stress optic coefficient is 1.96 X 10-10 Pa-1. Verification for the
determined value of stress optic coefficient was conducted by the same set up, under loading
condition of P= 9.12 N. Good agreement was found between theoretical and experimental values.
Advanced Materials Research Vol. 569                                    379



 Recording images during dynamic conditions
Tool images were recorded under dynamic conditions during micro-turning process in a continuous
manner. Turning process was carried out with depth of cut being 100 micron, the feed velocity
being 0.5 mm/min while the spindle was rotating at 2500 rpm. Casio EXILIM ZR-200 camera was
used in high speed movie mode at 1000 fps (frames per second) and images were captured during
dynamic operation. These images include the tool and also a number of other components like tool
holder, work piece, work piece holder and other materials adjoining the tool. These unnecessary
objects were cropped out, so that proper analysis could be performed. The processed images
captured for an instant t= 1 second are presented in Fig. 4.




   Fig.3
Schematic of      Fig. 4 Polariscope images for 0, 45, 90
 disk under            and 135 degree of analyzer.            Fig. 5 Shear stress maps of the tool
compression.                                                       at time t=1 and 2 seconds.

Experimental results
The captured images were processed using the mathematical equations 11 to 13. For this purpose a
MATLAB code was developed and 4 images for 4 orientations were fed in the program as input at a
particular instant of time. Thus at any instant of time authors were able to assess the shear stress
values at any point of the tool face. Complete shear stress map at time instants t=1 and 2 seconds
along with variation of stress at a particular point at these time instants is shown in Fig. 5.

Conclusion
It is very well understood that due to process complexity and miniature tool size of turning process
at micro scale, mapping stresses during dynamic operating conditions is a difficult task. The
difficulty is conciliated here using a very simple but robust photoelastic coating methodology. The
methodology can effectively check tool breakage and inconveniences caused due to the same as
complete shear stress map at every instant of dynamic operation is available to the user.

References
[1]     Y. Okazaki: A micro-positioning tool post using a piezoelectric actuator for diamond
turning machines Precision Engineering Vol. 12 (1992) p. 151-56.
[2]     G. Chern and Y. Chang: Using two-dimensional vibration cutting for micro-milling
International Journal of Machine Tools and Manufacture Vol. 46 (2006) p. 659-666.
[3]     V.P. Astakhov: Geometry of single-point Turning Tools and Drills: Fundamentals and
Practical Applications Springer (2010) p. 16-18.
[4]     J. Lesniak, S.J. Zhan and E.A. Patterson: Design and Evaluation of Poledioscope: A Novel
Digital Polariscope Experimental Mechanics, Vol 44 (2) p. 128-135 (2004).
[5]     W. Pin and A. Asundi: Phase shift polarimetry for non-invasive detection of laser-induced
damage Ninth International Symposium on Laser Metrology Proc. of SPIE Vol. 7155 (2008).
[6]     J.W. Dally and W.F. Riley: Experimental Stress Analysis McGraw Hill New York (1991).

More Related Content

What's hot

A self affine 8-shaped fractal multiband antenna for wireless applications-2
A self affine 8-shaped fractal multiband antenna for wireless applications-2A self affine 8-shaped fractal multiband antenna for wireless applications-2
A self affine 8-shaped fractal multiband antenna for wireless applications-2IAEME Publication
 
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATION
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATIONTWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATION
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATIONVLSICS Design
 
International Journal of Computer Science and Security Volume (3) Issue (4)
International Journal of Computer Science and Security Volume (3) Issue (4)International Journal of Computer Science and Security Volume (3) Issue (4)
International Journal of Computer Science and Security Volume (3) Issue (4)CSCJournals
 
VARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIP
VARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIPVARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIP
VARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIPcsandit
 
Gait using moment with gray and
Gait using moment with gray andGait using moment with gray and
Gait using moment with gray andijsc
 
Kccsi 2012 a real-time robust object tracking-v2
Kccsi 2012   a real-time robust object tracking-v2Kccsi 2012   a real-time robust object tracking-v2
Kccsi 2012 a real-time robust object tracking-v2Prarinya Siritanawan
 
Data-Driven Motion Estimation With Spatial Adaptation
Data-Driven Motion Estimation With Spatial AdaptationData-Driven Motion Estimation With Spatial Adaptation
Data-Driven Motion Estimation With Spatial AdaptationCSCJournals
 
Recent Advances in Object-based Change Detection.pdf
Recent Advances in Object-based Change Detection.pdfRecent Advances in Object-based Change Detection.pdf
Recent Advances in Object-based Change Detection.pdfgrssieee
 
Large Scale Parallel FDTD Simulation of Full 3D Photonic Crystal Structures
Large Scale Parallel FDTD Simulation of Full 3D Photonic Crystal StructuresLarge Scale Parallel FDTD Simulation of Full 3D Photonic Crystal Structures
Large Scale Parallel FDTD Simulation of Full 3D Photonic Crystal Structuresayubimoak
 
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...ijsc
 
Laser Beam Homogenizer
Laser Beam HomogenizerLaser Beam Homogenizer
Laser Beam HomogenizerVikram Sachan
 
Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...
Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...
Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...CSCJournals
 
11.performance evaluation of geometric active contour (gac) and enhanced geom...
11.performance evaluation of geometric active contour (gac) and enhanced geom...11.performance evaluation of geometric active contour (gac) and enhanced geom...
11.performance evaluation of geometric active contour (gac) and enhanced geom...Alexander Decker
 

What's hot (15)

A self affine 8-shaped fractal multiband antenna for wireless applications-2
A self affine 8-shaped fractal multiband antenna for wireless applications-2A self affine 8-shaped fractal multiband antenna for wireless applications-2
A self affine 8-shaped fractal multiband antenna for wireless applications-2
 
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATION
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATIONTWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATION
TWO DIMENSIONAL MODELING OF NONUNIFORMLY DOPED MESFET UNDER ILLUMINATION
 
International Journal of Computer Science and Security Volume (3) Issue (4)
International Journal of Computer Science and Security Volume (3) Issue (4)International Journal of Computer Science and Security Volume (3) Issue (4)
International Journal of Computer Science and Security Volume (3) Issue (4)
 
VARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIP
VARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIPVARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIP
VARIATION-FREE WATERMARKING TECHNIQUE BASED ON SCALE RELATIONSHIP
 
Gait using moment with gray and
Gait using moment with gray andGait using moment with gray and
Gait using moment with gray and
 
Kccsi 2012 a real-time robust object tracking-v2
Kccsi 2012   a real-time robust object tracking-v2Kccsi 2012   a real-time robust object tracking-v2
Kccsi 2012 a real-time robust object tracking-v2
 
Data-Driven Motion Estimation With Spatial Adaptation
Data-Driven Motion Estimation With Spatial AdaptationData-Driven Motion Estimation With Spatial Adaptation
Data-Driven Motion Estimation With Spatial Adaptation
 
Recent Advances in Object-based Change Detection.pdf
Recent Advances in Object-based Change Detection.pdfRecent Advances in Object-based Change Detection.pdf
Recent Advances in Object-based Change Detection.pdf
 
Large Scale Parallel FDTD Simulation of Full 3D Photonic Crystal Structures
Large Scale Parallel FDTD Simulation of Full 3D Photonic Crystal StructuresLarge Scale Parallel FDTD Simulation of Full 3D Photonic Crystal Structures
Large Scale Parallel FDTD Simulation of Full 3D Photonic Crystal Structures
 
[Download] rev chapter-8-june26th
[Download] rev chapter-8-june26th[Download] rev chapter-8-june26th
[Download] rev chapter-8-june26th
 
Cc24529533
Cc24529533Cc24529533
Cc24529533
 
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...
INVERSIONOF MAGNETIC ANOMALIES DUE TO 2-D CYLINDRICAL STRUCTURES –BY AN ARTIF...
 
Laser Beam Homogenizer
Laser Beam HomogenizerLaser Beam Homogenizer
Laser Beam Homogenizer
 
Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...
Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...
Content Based Video Retrieval in Transformed Domain using Fractional Coeffici...
 
11.performance evaluation of geometric active contour (gac) and enhanced geom...
11.performance evaluation of geometric active contour (gac) and enhanced geom...11.performance evaluation of geometric active contour (gac) and enhanced geom...
11.performance evaluation of geometric active contour (gac) and enhanced geom...
 

Similar to Dynamic shear stress evaluation on micro turning tool using photoelasticity

Polariscope: Practical Design
Polariscope: Practical DesignPolariscope: Practical Design
Polariscope: Practical Designsomandal88
 
SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...
SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...
SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...ijiert bestjournal
 
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...ijistjournal
 
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...ijistjournal
 
DeepXplore: Automated Whitebox Testing of Deep Learning
DeepXplore: Automated Whitebox Testing of Deep LearningDeepXplore: Automated Whitebox Testing of Deep Learning
DeepXplore: Automated Whitebox Testing of Deep LearningMasahiro Sakai
 
Dynamic stiffness and eigenvalues of nonlocal nano beams
Dynamic stiffness and eigenvalues of nonlocal nano beamsDynamic stiffness and eigenvalues of nonlocal nano beams
Dynamic stiffness and eigenvalues of nonlocal nano beamsUniversity of Glasgow
 
Image formation
Image formationImage formation
Image formationpotaters
 
Hierarchical matrix techniques for maximum likelihood covariance estimation
Hierarchical matrix techniques for maximum likelihood covariance estimationHierarchical matrix techniques for maximum likelihood covariance estimation
Hierarchical matrix techniques for maximum likelihood covariance estimationAlexander Litvinenko
 
SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...
SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...
SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...P singh
 
Spatial and temporal study of a mechanical and harmonic vibration by high spe...
Spatial and temporal study of a mechanical and harmonic vibration by high spe...Spatial and temporal study of a mechanical and harmonic vibration by high spe...
Spatial and temporal study of a mechanical and harmonic vibration by high spe...IAEME Publication
 
Femtosecond two photon absorption measurements based on the accumulative phot...
Femtosecond two photon absorption measurements based on the accumulative phot...Femtosecond two photon absorption measurements based on the accumulative phot...
Femtosecond two photon absorption measurements based on the accumulative phot...gerarluis
 
ANALYSIS OF INTEREST POINTS OF CURVELET COEFFICIENTS CONTRIBUTIONS OF MICROS...
ANALYSIS OF INTEREST POINTS OF CURVELET  COEFFICIENTS CONTRIBUTIONS OF MICROS...ANALYSIS OF INTEREST POINTS OF CURVELET  COEFFICIENTS CONTRIBUTIONS OF MICROS...
ANALYSIS OF INTEREST POINTS OF CURVELET COEFFICIENTS CONTRIBUTIONS OF MICROS...sipij
 
Pore Geometry from the Internal Magnetic Fields
Pore Geometry from the Internal Magnetic FieldsPore Geometry from the Internal Magnetic Fields
Pore Geometry from the Internal Magnetic FieldsAlexander Sagidullin
 
A Beginner's Guide to Monocular Depth Estimation
A Beginner's Guide to Monocular Depth EstimationA Beginner's Guide to Monocular Depth Estimation
A Beginner's Guide to Monocular Depth EstimationRyo Takahashi
 
Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...
Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...
Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...IJERA Editor
 
Applications Of One Type Of Euler-Lagrange Fractional Differential Equation
Applications Of One Type Of Euler-Lagrange Fractional Differential EquationApplications Of One Type Of Euler-Lagrange Fractional Differential Equation
Applications Of One Type Of Euler-Lagrange Fractional Differential EquationIRJET Journal
 

Similar to Dynamic shear stress evaluation on micro turning tool using photoelasticity (20)

Polariscope: Practical Design
Polariscope: Practical DesignPolariscope: Practical Design
Polariscope: Practical Design
 
SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...
SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...
SINGLE‐PHASE TO THREE‐PHASE DRIVE SYSTEM USING TWO PARALLEL SINGLE‐PHASE RECT...
 
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
 
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
DESPECKLING OF SAR IMAGES BY OPTIMIZING AVERAGED POWER SPECTRAL VALUE IN CURV...
 
Ma6251 MATHEMATICS III
Ma6251 MATHEMATICS IIIMa6251 MATHEMATICS III
Ma6251 MATHEMATICS III
 
DeepXplore: Automated Whitebox Testing of Deep Learning
DeepXplore: Automated Whitebox Testing of Deep LearningDeepXplore: Automated Whitebox Testing of Deep Learning
DeepXplore: Automated Whitebox Testing of Deep Learning
 
Dynamic stiffness and eigenvalues of nonlocal nano beams
Dynamic stiffness and eigenvalues of nonlocal nano beamsDynamic stiffness and eigenvalues of nonlocal nano beams
Dynamic stiffness and eigenvalues of nonlocal nano beams
 
Image formation
Image formationImage formation
Image formation
 
Hierarchical matrix techniques for maximum likelihood covariance estimation
Hierarchical matrix techniques for maximum likelihood covariance estimationHierarchical matrix techniques for maximum likelihood covariance estimation
Hierarchical matrix techniques for maximum likelihood covariance estimation
 
H213949
H213949H213949
H213949
 
Seminar iitkgp
Seminar iitkgpSeminar iitkgp
Seminar iitkgp
 
SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...
SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...
SCRUTINY TO THE NON-AXIALLY DEFORMATIONS OF AN ELASTIC FOUNDATION ON A CYLIND...
 
12
1212
12
 
Spatial and temporal study of a mechanical and harmonic vibration by high spe...
Spatial and temporal study of a mechanical and harmonic vibration by high spe...Spatial and temporal study of a mechanical and harmonic vibration by high spe...
Spatial and temporal study of a mechanical and harmonic vibration by high spe...
 
Femtosecond two photon absorption measurements based on the accumulative phot...
Femtosecond two photon absorption measurements based on the accumulative phot...Femtosecond two photon absorption measurements based on the accumulative phot...
Femtosecond two photon absorption measurements based on the accumulative phot...
 
ANALYSIS OF INTEREST POINTS OF CURVELET COEFFICIENTS CONTRIBUTIONS OF MICROS...
ANALYSIS OF INTEREST POINTS OF CURVELET  COEFFICIENTS CONTRIBUTIONS OF MICROS...ANALYSIS OF INTEREST POINTS OF CURVELET  COEFFICIENTS CONTRIBUTIONS OF MICROS...
ANALYSIS OF INTEREST POINTS OF CURVELET COEFFICIENTS CONTRIBUTIONS OF MICROS...
 
Pore Geometry from the Internal Magnetic Fields
Pore Geometry from the Internal Magnetic FieldsPore Geometry from the Internal Magnetic Fields
Pore Geometry from the Internal Magnetic Fields
 
A Beginner's Guide to Monocular Depth Estimation
A Beginner's Guide to Monocular Depth EstimationA Beginner's Guide to Monocular Depth Estimation
A Beginner's Guide to Monocular Depth Estimation
 
Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...
Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...
Statistical Optimization of process parameters for SiO2-Nickel nanocomposites...
 
Applications Of One Type Of Euler-Lagrange Fractional Differential Equation
Applications Of One Type Of Euler-Lagrange Fractional Differential EquationApplications Of One Type Of Euler-Lagrange Fractional Differential Equation
Applications Of One Type Of Euler-Lagrange Fractional Differential Equation
 

More from Soumen Mandal

DAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENT
DAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENTDAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENT
DAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENTSoumen Mandal
 
Anatomy of human hand with sensors placed
Anatomy of human hand with sensors placedAnatomy of human hand with sensors placed
Anatomy of human hand with sensors placedSoumen Mandal
 
Presentation Template for project proposal
Presentation Template for project proposalPresentation Template for project proposal
Presentation Template for project proposalSoumen Mandal
 
10.1002-aisy.202000139Figure2020001390002.pptx.ppt
10.1002-aisy.202000139Figure2020001390002.pptx.ppt10.1002-aisy.202000139Figure2020001390002.pptx.ppt
10.1002-aisy.202000139Figure2020001390002.pptx.pptSoumen Mandal
 
Self recharging laptops: Work longer with confidence
Self recharging laptops: Work longer with confidenceSelf recharging laptops: Work longer with confidence
Self recharging laptops: Work longer with confidenceSoumen Mandal
 
Dynamic health monitoring in micro turning process: A multi-sensory approach
Dynamic health monitoring in micro turning process: A multi-sensory approachDynamic health monitoring in micro turning process: A multi-sensory approach
Dynamic health monitoring in micro turning process: A multi-sensory approachSoumen Mandal
 

More from Soumen Mandal (6)

DAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENT
DAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENTDAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENT
DAC1 PPT FOR BEGINEERA AND ENGINEERS STUDENT
 
Anatomy of human hand with sensors placed
Anatomy of human hand with sensors placedAnatomy of human hand with sensors placed
Anatomy of human hand with sensors placed
 
Presentation Template for project proposal
Presentation Template for project proposalPresentation Template for project proposal
Presentation Template for project proposal
 
10.1002-aisy.202000139Figure2020001390002.pptx.ppt
10.1002-aisy.202000139Figure2020001390002.pptx.ppt10.1002-aisy.202000139Figure2020001390002.pptx.ppt
10.1002-aisy.202000139Figure2020001390002.pptx.ppt
 
Self recharging laptops: Work longer with confidence
Self recharging laptops: Work longer with confidenceSelf recharging laptops: Work longer with confidence
Self recharging laptops: Work longer with confidence
 
Dynamic health monitoring in micro turning process: A multi-sensory approach
Dynamic health monitoring in micro turning process: A multi-sensory approachDynamic health monitoring in micro turning process: A multi-sensory approach
Dynamic health monitoring in micro turning process: A multi-sensory approach
 

Recently uploaded

Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 

Recently uploaded (20)

Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 

Dynamic shear stress evaluation on micro turning tool using photoelasticity

  • 1. Advanced Materials Research Vol. 569 (2012) pp 376-379 © (2012) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/AMR.569.376 Dynamic shear stress evaluation on micro-turning tool using photoelasticity Soumen Mandal1, a, Anirudh Kumar1, b and Nagahanumaiah1, c 1 CSIR-Central Mechanical Engineering Research Institute a somandal88@rediffmail.com, banirudhkumar2@gmail.com, cnaga@cmeri.res.in Keywords: Polariscope, Poledioscope, Dynamic Photoelasticity, Micro-turning, Shear stress. Abstract. The paper presents an experimental methodology for evaluation of shear stress induced on a micro-turning tool during micro-turning operation. A micro-turning tool manufactured by Sandvik Coromant was used for micro- turning of a brass spindle. The front face of the tool was cleaned, polished and coated with a thin layer of Ethylene-Vinyl Acetate (EVA), a birefringent material. Subsequently, reflection photoelastic experiments were conducted to find the shear stresses induced on the micro-tool. A custom designed grey field poledioscope was used for this purpose which was pre-calibrated and verified using disk under compression test. The tool was subjected to turning operation and dynamic images of the tool were captured using Casio ELIXIM ZR-200 camera in high speed movie mode at 1000 fps (frames per second) for four different orientations of the analyzer simultaneously. These images were processed using a code developed in MATLAB software to generate a shear stress map of the tool dynamically at different time instants of the machining process. Introduction Micro machining industry and its related applications have undergone significant progress in today’s world of miniaturization due to its outstanding performance in generating miracles ranging from tiny micro holes to 3- D complex micro features. Lot of efforts have been focused to maintain reliability, accuracy, precision machining characteristics and efficacy of micro machining process by various researchers [1, 2]. However, research pertaining to health monitoring of cutting tool to prevent breakage during dynamic operation is limited in literature. Tool breakage may occur due to various reasons like increase in temperature, shearing, plowing, spindle vibration, high feed etc. It is a well established fact that shear stress on any material results in material fatigue. The same is applicable on machining tools during operation and hence is a prevalent cause for tool failure [3]. It becomes mandatory to evaluate the shear stress induced on the micro tool during cutting operations so that desired performance and tool life can be achieved. In this paper authors have proposed a process for shear stress measurement on micro-turning tool using photoelasticity. Photoelasticity is a well known and established phenomenon to evaluate stress on a material experimentally. The phenomenon is based on the property of birefringence, an unique property exhibited by few materials like calcite, plastics, glass, sapphire etc, showing double indices of refraction when stress is induced on the material. In order to visualize photoelasticity and correlate it mathematically to find desired stress parameters a polariscope is used. We have used a grey field polariscope for our application. A grey field polariscope works on detection of distribution of intensity (grey levels) on the image which is simple to acquire and process. Further it uses a very simple set of mathematical equations to evaluate stress parameters. Due to its simplicity of implementation and mathematical calculations authors use a grey field polariscope which was modified and customized into a grey field poledioscope for the purpose. All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of TTP, www.ttp.net. (ID: 117.227.9.47-13/08/12,16:03:33)
  • 2. Advanced Materials Research Vol. 569 377 Experimental set up Micro machining center In order to conduct micro-turning process a micro machining center manufactured by Mikrotools DT 110, Singapore was used. Fig. 1 shows the set up of the center with tool mounted on tool holder, a brass spindle for micro-turning fixed on work piece holder along with the custom designed grey field poledioscope. Processing the micro-turning tool For photoelastic experiment it is mandatory that the sample under investigation must be birefringent. The tool used here manufactured by Sandvik Coromant (MAFL3010 1025) is a metallic micro tool and hence was devoid of such property. The front plane of the tool was coated with a thin layer of ethylene-vinyl-acetate, a photoelastic material. Development of Grey field polariscope and poledioscope A grey Field Polariscope (GFP) is combination of both plane and circular polariscope. It uses a linear and a circular polarizing plate as its polarizer but only a linear polarizing plate as its analyzer. Further, the analyzer rotates and a camera synchronized with it captures images at specified orientations. In literature commonly GFP camera captures 3 or more images for every half circle rotation of the analyzer. These images are processed mathematically to find stress parameters present in the sample [4]. A poledioscope is a combination of a polariscope and a kaleidoscope. From design point of view, the polarizer section of a poledioscope is same as a polariscope but in the analyzer part, a multi image lens (beam splitter) or a kaleidoscope is used. Thus 4 different images can be captured for 4 different orientations of linearly polarizing plates of analyzer in a single shot. Fig. 2 shows the schematic of a typical polariscope along with the modifications. The designed poledioscope can be visualized from Fig. 1. Fig. 1 Experimental set up Fig. 2 A polariscope and modifications Experimental procedure Before we describe the procedure, we present here a brief overview of the mathematics used to determine quantitative values of stress from images captured using poledioscope which would be used recursively in each step of the experimental process. The equations and procedure used here can be found in detail in [5]. Eq. 1, 2 and 3 were used for processing the images.
  • 3. 378 Advanced Materials Design and Mechanics (( I ) 1 1 3 − I1 ) + ( I 4 − I 2 ) 2 2 2 ∆= (1) 2Ia 1  I1 − I 3  β = tan −1   (2) 2  I4 − I2  2π C (2t ) ∆= (σ 11 − σ 22 ) (3) λ C is the stress optic coefficient, t is the specimen thickness (2t is used as light travels through the coating twice in reflection photoelasticity), σ11 and σ22 are the principal stresses, λ is the wavelength of light used, I1, I2, I3 and I4 are the intensity of each image pixel captured by the camera.. From equation 3, we can find the value of difference of principal stresses (σ11- σ22) provided that C, t and λ are known. The specimen thickness (t) and wavelength of light (λ) are already known parameters from experimental set up. The value of stress optic coefficient (C) can be found by calibrating the polariscope with standard known stressed specimen. From Mohr circle the shear stress Γ12 is given by Eq. 4. (σ 11 − σ 22 ) τ 12 = tan 2 β (4) 2 Calibration and testing of the instrument A circular disk with diameter 9.1 cm and thickness 1.69 mm, coated with EVA layer of thickness 1.29 mm was subjected to compressive loading under load of 4.68 N. A schematic is presented in Fig. 3. From theory of linear elasticity [6], the solutions for the normal stresses are given by Eq. 5, 6 and 7. 2 2P  D2 − 4 x2  σ x = σ 11 =   (5) π hD  D 2 + 4 x 2    2P  4D4 σ y = σ 22 =− − 1 (6) π hD  ( D 2 + 4 x 2 )2      8P  D 4 − 4 D 2 x 2  σ 11 − σ 22 = (7) π hD  ( D 2 + 4 x 2 )2    Where, P is the applied load, h and D are the sample thickness and diameter respectively. The values of ∆ (phase lag) on X axis of the disk were scanned with respect to position of the point on the axis and a smooth and continuous curve was obtained by fitting these data points in MATLAB. The calculated stress using the continuous curve so obtained was linked with the stress values obtained using mathematical equations and the stress optic coefficient for the material was determined. The calculated value for stress optic coefficient is 1.96 X 10-10 Pa-1. Verification for the determined value of stress optic coefficient was conducted by the same set up, under loading condition of P= 9.12 N. Good agreement was found between theoretical and experimental values.
  • 4. Advanced Materials Research Vol. 569 379 Recording images during dynamic conditions Tool images were recorded under dynamic conditions during micro-turning process in a continuous manner. Turning process was carried out with depth of cut being 100 micron, the feed velocity being 0.5 mm/min while the spindle was rotating at 2500 rpm. Casio EXILIM ZR-200 camera was used in high speed movie mode at 1000 fps (frames per second) and images were captured during dynamic operation. These images include the tool and also a number of other components like tool holder, work piece, work piece holder and other materials adjoining the tool. These unnecessary objects were cropped out, so that proper analysis could be performed. The processed images captured for an instant t= 1 second are presented in Fig. 4. Fig.3 Schematic of Fig. 4 Polariscope images for 0, 45, 90 disk under and 135 degree of analyzer. Fig. 5 Shear stress maps of the tool compression. at time t=1 and 2 seconds. Experimental results The captured images were processed using the mathematical equations 11 to 13. For this purpose a MATLAB code was developed and 4 images for 4 orientations were fed in the program as input at a particular instant of time. Thus at any instant of time authors were able to assess the shear stress values at any point of the tool face. Complete shear stress map at time instants t=1 and 2 seconds along with variation of stress at a particular point at these time instants is shown in Fig. 5. Conclusion It is very well understood that due to process complexity and miniature tool size of turning process at micro scale, mapping stresses during dynamic operating conditions is a difficult task. The difficulty is conciliated here using a very simple but robust photoelastic coating methodology. The methodology can effectively check tool breakage and inconveniences caused due to the same as complete shear stress map at every instant of dynamic operation is available to the user. References [1] Y. Okazaki: A micro-positioning tool post using a piezoelectric actuator for diamond turning machines Precision Engineering Vol. 12 (1992) p. 151-56. [2] G. Chern and Y. Chang: Using two-dimensional vibration cutting for micro-milling International Journal of Machine Tools and Manufacture Vol. 46 (2006) p. 659-666. [3] V.P. Astakhov: Geometry of single-point Turning Tools and Drills: Fundamentals and Practical Applications Springer (2010) p. 16-18. [4] J. Lesniak, S.J. Zhan and E.A. Patterson: Design and Evaluation of Poledioscope: A Novel Digital Polariscope Experimental Mechanics, Vol 44 (2) p. 128-135 (2004). [5] W. Pin and A. Asundi: Phase shift polarimetry for non-invasive detection of laser-induced damage Ninth International Symposium on Laser Metrology Proc. of SPIE Vol. 7155 (2008). [6] J.W. Dally and W.F. Riley: Experimental Stress Analysis McGraw Hill New York (1991).