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IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 261
ANALYSIS OF STRESS CONCENTRATION AT OPENING IN
PRESSURE VESSEL USING ANOVA
Avinash R.Kharat1
, V. V. Kulkarni2
1
Assistant professor, Bharati Vidyapeeth College of Engineering, Kolhapur
2
Dr. Principal, Sanjay Ghodawat College of Engineering, Kolhapur, India
Abstract
Pressure vessels are used for storage, transportation and application of energy and fluids and also for carrying out reactions
and many other purposes. Openings in tanks and pressure vessels are necessary to carry on normal operations. Openings are
generally made in both vessel shells as well as heads. Unfortunately, these openings also result in penetrations of the pressure
restraining boundaries and are seen as discontinuities. Nozzles represent one of the most common causes for stress
concentration in pressure vessels and stress concentration factors can be very useful in pressure vessel design. Finite Element
Analysis is very efficient method for determination of stress concentration factors; however reliability of Finite Element
Analysis should always be assessed.
In this paper The analysis of variance method is used to serve the relation between nozzle size and stress produce in the nozzle
area. To reduce the errors in the experimental result the randomize sequence method is used. To test the influence of the both
parameters that is opening diameter and internal pressure on each other the randomized test sequencing is generated and
experimental test is conducted to investigate the stress distribution near opening area.
Keywords: Pressure, Opening, Stress Concentration Factor, FEA, Stress Distribution
--------------------------------------------------------------------***----------------------------------------------------------------
1. INTRODUCTION
Pressure vessels find wide applications in thermal and
nuclear power plants, process and chemical industries, in
space and ocean depths, and fluid supply systems in
industries. The failure of pressure vessel may result in loss
of life, health hazards and damage of property.
Discontinuities like opening in cylindrical part weaken the
containment strength of a pressure vessel because stress
intensification is created by the existence of a void in an
otherwise symmetrical section [1]. Openings in tanks and
pressure vessels are necessary to carry on normal operations.
They allow for the mounting of equipment, the insertion of
instrumentation, and the connection of piping facilitating the
introduction and extraction of content but they also leads to
the high stress concentration which get to the failure of
pressure vessel [2]. In recent years, researchers have put
enormous amount of effort in investigating techniques for
analysis stress concentration near openings. The failure of
structures due to stress concentration at any
discontinuity/opening has been baffling engineers for long.
It has been found that structure failures in ships, offshore
structures, boilers or high rise buildings subjected to natural
calamities is due to stress concentration. Stress concentration
mainly occurs due to discontinuities in continuum [3]. Due
to stress concentration the magnitude of the maximum stress
occurring in any discontinuity is comparatively higher than
the nominal stress. Stress concentration cause strength
degradation and premature failure of structures because of
fatigue cracking and plastic deformation frequently
occurring at these points. To avoid such type of pressure
vessel failure the design engineer must have positive
assurance that stresses generated will never exceed the
strength. Stress analysis of a pressure vessel is a very
sophisticated area [4].
This study presents a systematic approach to determine the
effect of stress concentration factor at openings in pressure
vessels using ANVOA.
2. ANALYSIS OF VARIANCES (ANOVA)
The Analysis of Variances (ANOVA) is one of the most
commonly used methods of analyzing experiments. It is
flexible and powerful tool of analysis. The mathematics
involved required diligence in calculation, yet the way
ANOVA works is relatively simple. In any experiment
several factors are followed are allowed to vary, a situation
called experimental error exits. Experimental error is the
random errors created in the experiment from the chance
variations in uncontrollable factors such quality of material,
environmental conditions, and operators involved. Taken
together this experimental error creates a background
“noise” in the data. ANOVA is extremely useful technique
concerning researchers in the field of economics, biology,
education, psychology, and business industries and in
researches of several other disciplines. In many industrial
cases, we will have to compare three or more averages. [5]
3. EXPERIMENTAL SETUP
A pressure vessel with the external diameter 305 mm and
wall thickness 3 mm is used for preparing the experimental
model. Four plugged pipes are welded on the vessel to
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 262
produce four nozzles, designated D1, D2, D3 and D4, which
is shown in Figure 1. The dimensions of the vessel and the
nozzles with the geometric are shown in Table 1. The pipes
are left with enough length so that length does not influence
the stress distribution. There is also enough distance
between the pipes to not influence the stress distribution. In
the longitudinal and circumferential direction of the nozzle
area, four strain gauges of 120 ohm are installed on the
vessel on enough distance from the nozzle which is shown in
Fig 2. So there are four measuring points and twin cylinder,
two stage reciprocating type compressor of 12 bar capacity
is used to produce the internal pressure and the test pressure
are 2, 4, 6 and 7 bar respectively. For measurement of
strain, multi-channel strain gauge indicator is used.
Table 1 Dimensions of the vessel and the nozzles
Parameters Values
Pressure 0.2, 0.4, 0.6, 0.7Mpa
Vessel Diameter (O.D) 305mm
Thickness 3mm
Length of vessel 900mm
Opening/nozzle Diameter 32mm, 40mm, 65mm,
80mm
Fig 1: Experimental setup
Fig 2: Strain gauge setup at 80mm nozzle Diameter
4.1 Strain Measurement
The strain gage is a transducer which converts force,
pressure, tension, etc. to an electrical signal and is used for
electrical measurement of these mechanical quantities. The
wire strain gages depend upon the fact that when the wire is
stretched elastically, its length and diameter are altered. The
underlying principle of the strain gage is that a stressed
metallic conductor undergoes a change in electrical
resistance directly proportional to a change in length. The
quarter arm bridge which is shown in Fig 3 is excited with
the help of fixed 5 volts supply using regulator I.C. 7805. A
10 Kilo ohm helical pot and 100 kilo ohms carbon pot form
the course and fine balancing controls respectively.
The bonded electrical resistance strain gage is a simple
device, in fact deceptively so. The gage functions on the
principle that when it undergoes strain, its electrical
resistance changes. And if the relationship between the
relative change in resistance (ΔR/R) and the strain (ΔL/L),
(which is defined as the Gage Factor), is known, then the
strain can be determined. All that is necessary therefore is to
measure ΔR/R. But this is more easily said than done
because the values of ΔR are very small (and ΔR/R, even
smaller). The Gage Factor (GF) is approximately 2.0 for
gages made of the metal alloys most commonly used in their
manufacture. A typical gage resistance is 120 ohms. In order
to use such a gage for detecting a strain of 1 µɛ, a change of
resistance ΔR of 0.00024 ohm must be measured. [6][7]
Fig 3: Quarter Arm Bridge of strain indicator
4.2 Randomized Sequence Selected
From previous study it is seen that the stress distribution in
opening area is depends on the openings geometry and the
internal pressure applied. So to test the influence of the both
parameters that is opening diameter and internal pressure on
each other the randomized test sequencing is generated using
the Microsoft Excel sheet shown in Table 2. This
randomized test sequence is necessary to prevent the effect
of unknown nuisance variables, perhaps varying out of
control during the experimentation, from contaminating the
results. This test sequencing is related with internal pressure
from 0.2 to 0.7 Mpa. Each set is selected with common start
of pressure then end with random pressure. [8]
Table 2 Sequence of experimental testing
P1 P2 P3 P4
1 4 3 2
1 3 2 4
1 2 3 4
2 4 3 1
2 3 1 4
2 1 3 4
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 263
3 2 1 4
3 4 1 2
3 1 2 4
4 3 2 1
4 2 1 3
4 1 3 2
3.3 Experimental Testing Results
Experiment performs on pressure vessel by using the strain
gage measurement device. The test results are presented in
Table 3 and Table 4
Where, P1 = 0.2Mpa, P2 = 0.4 Mpa, P3 = 0.6Mpa, P4 =
0.7Mpa.
Table 3 Experimental testing results 1
Table 4 Experimental testing results 2
3.4 ANOVA Analysis by Two Factorial Factor
Designs
For factorial design two factor or sets of treatments is
selected. The pressure change has no effect on nozzle
diameter change is considered null hypothesis and pressure
change has some effect on the nozzle diameter is considered
alternative hypothesis. A factorial design involves two
factors, in this case pressure and Nozzle diameter is taken
which is the only choice. From experiment it is known that
the pressure increase will affect the nozzle diameter. So
decided to test all the pressure at all four nozzles diameters
with n=6 readings for each combinations of pressure and
nozzle diameter. The experimental and resulting observation
data are given in Table 5 and Table 6. The ANOVA results
interaction are shown in Fig 4. [8]
Table 5 Input results of nozzle and pressures for two
factorial analyses.
Table 6 Input results of nozzle and pressures for two
factorial analyses.
Nozzle
diameter
mm
Micro-strain Readings
32 mm
P1 P2 P3 P4
0.000022 0.000037 0.00006 0.000073
0.000021 0.000036 0.000061 0.000074
0.000023 0.000037 0.000059 0.000075
0.000023 0.000036 0.000062 0.000076
0.000021 0.000035 0.000063 0.000074
0.000024 0.000037 0.000062 0.000075
40mm
P1 P2 P3 P4
0.000032 0.000046 0.000065 0.000078
0.000029 0.000045 0.000066 0.00008
0.000031 0.000049 0.00007 0.000083
0.000032 0.000045 0.00007 0.000085
0.00003 0.000044 0.000068 0.000082
0.000029 0.000046 0.000066 0.000085
group d1 d2 d3 d4
p3
0.000035 0.000052 0.000075 0.000092
0.000036 0.000055 0.00008 0.000094
0.000034 0.000054 0.000075 0.000092
0.000035 0.000055 0.000076 0.000093
0.000036 0.000055 0.00008 0.000091
0.000035 0.000062 0.000079 0.000095
p4
0.000039 0.000064 0.00009 1.02E-05
0.00004 0.000065 0.000085 1.04E-05
0.000042 0.000063 0.000088 1.05E-05
0.000044 0.000062 0.000089 1.06E-05
0.00004 0.000064 0.000087 1.02E-05
0.000042 0.000065 0.000091 1.04E-05
Nozzle
Dia.
P1 P2 P3 P4
65mm
0.000035 0.000052 0.000075 0.000092
0.000036 0.000055 0.00008 0.000094
0.000034 0.000054 0.000075 0.000092
0.000035 0.000055 0.000076 0.000093
0.000036 0.000055 0.00008 0.000091
0.000035 0.000062 0.000079 0.000095
70mm
P1 P2 P3 P4
0.000039 0.000064 0.00009 0.0000102
0.00004 0.000065 0.000085 0.0000104
0.000042 0.000063 0.000088 0.0000105
0.000044 0.000062 0.000089 0.0000106
0.00004 0.000064 0.000087 0.0000102
0.000042 0.000065 0.000091 0.0000104
group d1 d2 d3 d4
p1
0.000022 0.000037 0.00006 0.000073
0.000021 0.000036 0.000061 0.000074
0.000023 0.000037 0.000059 0.000075
0.000023 0.000036 0.000062 0.000076
0.000021 0.000035 0.000063 0.000074
0.000024 0.000037 0.000062 0.000075
p2
0.000032 0.000046 0.000065 0.000078
0.000029 0.000045 0.000066 0.00008
0.000031 0.000049 0.00007 0.000083
0.000032 0.000045 0.00007 0.000085
0.00003 0.000044 0.000068 0.000082
0.000029 0.000046 0.000066 0.000085
IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
_______________________________________________________________________________________
Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 264
Fig 4 Avg. Micro strain Vs opening diameter
4. DISCUSSION
From the graph shown in Fig 4 and the analysis of variance
for it is seen that the F critical value is less than F value. So
from this it is seen that the null hypothesis in which it is
considered that the pressure change has no effect on nozzle
diameter is rejected. The alternating hypothesis is accepted
in which it is considered that the pressure and nozzle
diameter change has interaction and influence on each other.
To assist in interpreting the results of this experiment; it is
helpful to construct a average responses at each treatment
combination. The low strain is attended at the small size
opening at 32mm. changing from 32mm opening to 80mm
the strain reading attended the higher level with increasing
pressure from 0.2Mpa to 0.7Mpa. Strain attended the
minimum level at 0.2Mpa and get higher with increasing
pressure from 0.2 to 0.7Mpa for each opening. From lower
opening size to higher size the strain is increases for 0.6Mpa
and 0.7Mpa and it is lowered for the 0.2Mpa and 0.4Mpa.0.2
Mpa and 0.4Mpa gives the significant results if lower strain
is required.
5. CONCLUSIONS
It is observed that sudden change in strain flow lines causes
the strain and stress to rise abruptly. Through gradual change
in gradient of flow lines mitigation of strain is observed. The
rise in the strain reaches to its maximum value. There is
significant interaction between the pressure and strain
readings. The computed strain increases with increasing the
opening size in the geometry.
REFERENCES
[1] A. J. Durelii & V. J. Parks, “Stresses in a pressurized
ribbed cylindrical shell with a reinforced hole”, The
Journal of Strain Analysis for Engineering Design,
Vol. 8, PP 140-150, 1973.
[2] P Makulsawatudom, D Mackenzie and R Hamilton,
“Stress concentration at crossholes in thick cylindrical
vessels”, The Journal of Strain Analysis for
Engineering Design, Vol. 39, PP 471-481, 2004.
[3] You-Hong Liu, “Limit pressure and design criterion
of cylindrical pressure vessels with nozzles”,
International Journal of Pressure Vessels and Piping,
Vol. 81, PP 619–624, 2004.
[4] Les M. Bildy, “A Proposed Method for Finding Stress
and Allowable Pressure in Cylinders with Radial
Nozzles”, Codeware ,2000
[5] D.C.Montgomery, “Design of Experiments”, Arizona
State University, John and Wiley, Fifth edition, 2005.
[6] T. H. Baek, “Hybrid Stress Analysis of Perforated
Composites Using Strain Gages”, Journal of
Experimental Mechanics Springer link Journals, Vol.
41, No. 2, June2001, PP 195-203.
[7] Josip Kacmarcik, “Comparison Of Numerically And
Experimentally Determined SCF For Nozzle In
Cylindrical Pressure Vessel”, 14th International
Research/Expert Conference Trends in the
Development of Machinery and Associated
Technology TMT 2010, Mediterranean Cruise, 11-18
September 2010.
[8] Jiju Antony, “Design of Experiments for Engineers
and Scientists”, The University of Strathclyde. First
edition, 2003.
BIOGRAPHIES
Avinash Kharat is Assistant Professor at
Bharati Vidyapeeth, Has completed M.E
in CAD/CAM/CAE from Kit’s college of
Engg., Kolhapur. The topic of his
dissertation is effect of opening pattern on
stress distribution of pressure vessel.
Dr. V. V. Kulkarni completed his PhD in
Mechanical Engineering and presently
working as Principal and Head, at Sanjay
Ghodawat College of Engineering,
Kolhapur. His research interest includes,
Computer Aided Fixture Design, FEA,
and Pressure Vessel Design.
0
20
40
60
80
100
120
32mm 40mm 65mm 80mm
Avg.Microstrain
Opening Diameter (mm)
Avg. strain vs Opening diameter
0.2
0.4
0.6
0.7

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Analysis of stress concentration at opening in pressure vessel using anova

  • 1. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 261 ANALYSIS OF STRESS CONCENTRATION AT OPENING IN PRESSURE VESSEL USING ANOVA Avinash R.Kharat1 , V. V. Kulkarni2 1 Assistant professor, Bharati Vidyapeeth College of Engineering, Kolhapur 2 Dr. Principal, Sanjay Ghodawat College of Engineering, Kolhapur, India Abstract Pressure vessels are used for storage, transportation and application of energy and fluids and also for carrying out reactions and many other purposes. Openings in tanks and pressure vessels are necessary to carry on normal operations. Openings are generally made in both vessel shells as well as heads. Unfortunately, these openings also result in penetrations of the pressure restraining boundaries and are seen as discontinuities. Nozzles represent one of the most common causes for stress concentration in pressure vessels and stress concentration factors can be very useful in pressure vessel design. Finite Element Analysis is very efficient method for determination of stress concentration factors; however reliability of Finite Element Analysis should always be assessed. In this paper The analysis of variance method is used to serve the relation between nozzle size and stress produce in the nozzle area. To reduce the errors in the experimental result the randomize sequence method is used. To test the influence of the both parameters that is opening diameter and internal pressure on each other the randomized test sequencing is generated and experimental test is conducted to investigate the stress distribution near opening area. Keywords: Pressure, Opening, Stress Concentration Factor, FEA, Stress Distribution --------------------------------------------------------------------***---------------------------------------------------------------- 1. INTRODUCTION Pressure vessels find wide applications in thermal and nuclear power plants, process and chemical industries, in space and ocean depths, and fluid supply systems in industries. The failure of pressure vessel may result in loss of life, health hazards and damage of property. Discontinuities like opening in cylindrical part weaken the containment strength of a pressure vessel because stress intensification is created by the existence of a void in an otherwise symmetrical section [1]. Openings in tanks and pressure vessels are necessary to carry on normal operations. They allow for the mounting of equipment, the insertion of instrumentation, and the connection of piping facilitating the introduction and extraction of content but they also leads to the high stress concentration which get to the failure of pressure vessel [2]. In recent years, researchers have put enormous amount of effort in investigating techniques for analysis stress concentration near openings. The failure of structures due to stress concentration at any discontinuity/opening has been baffling engineers for long. It has been found that structure failures in ships, offshore structures, boilers or high rise buildings subjected to natural calamities is due to stress concentration. Stress concentration mainly occurs due to discontinuities in continuum [3]. Due to stress concentration the magnitude of the maximum stress occurring in any discontinuity is comparatively higher than the nominal stress. Stress concentration cause strength degradation and premature failure of structures because of fatigue cracking and plastic deformation frequently occurring at these points. To avoid such type of pressure vessel failure the design engineer must have positive assurance that stresses generated will never exceed the strength. Stress analysis of a pressure vessel is a very sophisticated area [4]. This study presents a systematic approach to determine the effect of stress concentration factor at openings in pressure vessels using ANVOA. 2. ANALYSIS OF VARIANCES (ANOVA) The Analysis of Variances (ANOVA) is one of the most commonly used methods of analyzing experiments. It is flexible and powerful tool of analysis. The mathematics involved required diligence in calculation, yet the way ANOVA works is relatively simple. In any experiment several factors are followed are allowed to vary, a situation called experimental error exits. Experimental error is the random errors created in the experiment from the chance variations in uncontrollable factors such quality of material, environmental conditions, and operators involved. Taken together this experimental error creates a background “noise” in the data. ANOVA is extremely useful technique concerning researchers in the field of economics, biology, education, psychology, and business industries and in researches of several other disciplines. In many industrial cases, we will have to compare three or more averages. [5] 3. EXPERIMENTAL SETUP A pressure vessel with the external diameter 305 mm and wall thickness 3 mm is used for preparing the experimental model. Four plugged pipes are welded on the vessel to
  • 2. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 262 produce four nozzles, designated D1, D2, D3 and D4, which is shown in Figure 1. The dimensions of the vessel and the nozzles with the geometric are shown in Table 1. The pipes are left with enough length so that length does not influence the stress distribution. There is also enough distance between the pipes to not influence the stress distribution. In the longitudinal and circumferential direction of the nozzle area, four strain gauges of 120 ohm are installed on the vessel on enough distance from the nozzle which is shown in Fig 2. So there are four measuring points and twin cylinder, two stage reciprocating type compressor of 12 bar capacity is used to produce the internal pressure and the test pressure are 2, 4, 6 and 7 bar respectively. For measurement of strain, multi-channel strain gauge indicator is used. Table 1 Dimensions of the vessel and the nozzles Parameters Values Pressure 0.2, 0.4, 0.6, 0.7Mpa Vessel Diameter (O.D) 305mm Thickness 3mm Length of vessel 900mm Opening/nozzle Diameter 32mm, 40mm, 65mm, 80mm Fig 1: Experimental setup Fig 2: Strain gauge setup at 80mm nozzle Diameter 4.1 Strain Measurement The strain gage is a transducer which converts force, pressure, tension, etc. to an electrical signal and is used for electrical measurement of these mechanical quantities. The wire strain gages depend upon the fact that when the wire is stretched elastically, its length and diameter are altered. The underlying principle of the strain gage is that a stressed metallic conductor undergoes a change in electrical resistance directly proportional to a change in length. The quarter arm bridge which is shown in Fig 3 is excited with the help of fixed 5 volts supply using regulator I.C. 7805. A 10 Kilo ohm helical pot and 100 kilo ohms carbon pot form the course and fine balancing controls respectively. The bonded electrical resistance strain gage is a simple device, in fact deceptively so. The gage functions on the principle that when it undergoes strain, its electrical resistance changes. And if the relationship between the relative change in resistance (ΔR/R) and the strain (ΔL/L), (which is defined as the Gage Factor), is known, then the strain can be determined. All that is necessary therefore is to measure ΔR/R. But this is more easily said than done because the values of ΔR are very small (and ΔR/R, even smaller). The Gage Factor (GF) is approximately 2.0 for gages made of the metal alloys most commonly used in their manufacture. A typical gage resistance is 120 ohms. In order to use such a gage for detecting a strain of 1 µɛ, a change of resistance ΔR of 0.00024 ohm must be measured. [6][7] Fig 3: Quarter Arm Bridge of strain indicator 4.2 Randomized Sequence Selected From previous study it is seen that the stress distribution in opening area is depends on the openings geometry and the internal pressure applied. So to test the influence of the both parameters that is opening diameter and internal pressure on each other the randomized test sequencing is generated using the Microsoft Excel sheet shown in Table 2. This randomized test sequence is necessary to prevent the effect of unknown nuisance variables, perhaps varying out of control during the experimentation, from contaminating the results. This test sequencing is related with internal pressure from 0.2 to 0.7 Mpa. Each set is selected with common start of pressure then end with random pressure. [8] Table 2 Sequence of experimental testing P1 P2 P3 P4 1 4 3 2 1 3 2 4 1 2 3 4 2 4 3 1 2 3 1 4 2 1 3 4
  • 3. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 263 3 2 1 4 3 4 1 2 3 1 2 4 4 3 2 1 4 2 1 3 4 1 3 2 3.3 Experimental Testing Results Experiment performs on pressure vessel by using the strain gage measurement device. The test results are presented in Table 3 and Table 4 Where, P1 = 0.2Mpa, P2 = 0.4 Mpa, P3 = 0.6Mpa, P4 = 0.7Mpa. Table 3 Experimental testing results 1 Table 4 Experimental testing results 2 3.4 ANOVA Analysis by Two Factorial Factor Designs For factorial design two factor or sets of treatments is selected. The pressure change has no effect on nozzle diameter change is considered null hypothesis and pressure change has some effect on the nozzle diameter is considered alternative hypothesis. A factorial design involves two factors, in this case pressure and Nozzle diameter is taken which is the only choice. From experiment it is known that the pressure increase will affect the nozzle diameter. So decided to test all the pressure at all four nozzles diameters with n=6 readings for each combinations of pressure and nozzle diameter. The experimental and resulting observation data are given in Table 5 and Table 6. The ANOVA results interaction are shown in Fig 4. [8] Table 5 Input results of nozzle and pressures for two factorial analyses. Table 6 Input results of nozzle and pressures for two factorial analyses. Nozzle diameter mm Micro-strain Readings 32 mm P1 P2 P3 P4 0.000022 0.000037 0.00006 0.000073 0.000021 0.000036 0.000061 0.000074 0.000023 0.000037 0.000059 0.000075 0.000023 0.000036 0.000062 0.000076 0.000021 0.000035 0.000063 0.000074 0.000024 0.000037 0.000062 0.000075 40mm P1 P2 P3 P4 0.000032 0.000046 0.000065 0.000078 0.000029 0.000045 0.000066 0.00008 0.000031 0.000049 0.00007 0.000083 0.000032 0.000045 0.00007 0.000085 0.00003 0.000044 0.000068 0.000082 0.000029 0.000046 0.000066 0.000085 group d1 d2 d3 d4 p3 0.000035 0.000052 0.000075 0.000092 0.000036 0.000055 0.00008 0.000094 0.000034 0.000054 0.000075 0.000092 0.000035 0.000055 0.000076 0.000093 0.000036 0.000055 0.00008 0.000091 0.000035 0.000062 0.000079 0.000095 p4 0.000039 0.000064 0.00009 1.02E-05 0.00004 0.000065 0.000085 1.04E-05 0.000042 0.000063 0.000088 1.05E-05 0.000044 0.000062 0.000089 1.06E-05 0.00004 0.000064 0.000087 1.02E-05 0.000042 0.000065 0.000091 1.04E-05 Nozzle Dia. P1 P2 P3 P4 65mm 0.000035 0.000052 0.000075 0.000092 0.000036 0.000055 0.00008 0.000094 0.000034 0.000054 0.000075 0.000092 0.000035 0.000055 0.000076 0.000093 0.000036 0.000055 0.00008 0.000091 0.000035 0.000062 0.000079 0.000095 70mm P1 P2 P3 P4 0.000039 0.000064 0.00009 0.0000102 0.00004 0.000065 0.000085 0.0000104 0.000042 0.000063 0.000088 0.0000105 0.000044 0.000062 0.000089 0.0000106 0.00004 0.000064 0.000087 0.0000102 0.000042 0.000065 0.000091 0.0000104 group d1 d2 d3 d4 p1 0.000022 0.000037 0.00006 0.000073 0.000021 0.000036 0.000061 0.000074 0.000023 0.000037 0.000059 0.000075 0.000023 0.000036 0.000062 0.000076 0.000021 0.000035 0.000063 0.000074 0.000024 0.000037 0.000062 0.000075 p2 0.000032 0.000046 0.000065 0.000078 0.000029 0.000045 0.000066 0.00008 0.000031 0.000049 0.00007 0.000083 0.000032 0.000045 0.00007 0.000085 0.00003 0.000044 0.000068 0.000082 0.000029 0.000046 0.000066 0.000085
  • 4. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 _______________________________________________________________________________________ Volume: 03 Issue: 07 | Jul-2014, Available @ http://www.ijret.org 264 Fig 4 Avg. Micro strain Vs opening diameter 4. DISCUSSION From the graph shown in Fig 4 and the analysis of variance for it is seen that the F critical value is less than F value. So from this it is seen that the null hypothesis in which it is considered that the pressure change has no effect on nozzle diameter is rejected. The alternating hypothesis is accepted in which it is considered that the pressure and nozzle diameter change has interaction and influence on each other. To assist in interpreting the results of this experiment; it is helpful to construct a average responses at each treatment combination. The low strain is attended at the small size opening at 32mm. changing from 32mm opening to 80mm the strain reading attended the higher level with increasing pressure from 0.2Mpa to 0.7Mpa. Strain attended the minimum level at 0.2Mpa and get higher with increasing pressure from 0.2 to 0.7Mpa for each opening. From lower opening size to higher size the strain is increases for 0.6Mpa and 0.7Mpa and it is lowered for the 0.2Mpa and 0.4Mpa.0.2 Mpa and 0.4Mpa gives the significant results if lower strain is required. 5. CONCLUSIONS It is observed that sudden change in strain flow lines causes the strain and stress to rise abruptly. Through gradual change in gradient of flow lines mitigation of strain is observed. The rise in the strain reaches to its maximum value. There is significant interaction between the pressure and strain readings. The computed strain increases with increasing the opening size in the geometry. REFERENCES [1] A. J. Durelii & V. J. Parks, “Stresses in a pressurized ribbed cylindrical shell with a reinforced hole”, The Journal of Strain Analysis for Engineering Design, Vol. 8, PP 140-150, 1973. [2] P Makulsawatudom, D Mackenzie and R Hamilton, “Stress concentration at crossholes in thick cylindrical vessels”, The Journal of Strain Analysis for Engineering Design, Vol. 39, PP 471-481, 2004. [3] You-Hong Liu, “Limit pressure and design criterion of cylindrical pressure vessels with nozzles”, International Journal of Pressure Vessels and Piping, Vol. 81, PP 619–624, 2004. [4] Les M. Bildy, “A Proposed Method for Finding Stress and Allowable Pressure in Cylinders with Radial Nozzles”, Codeware ,2000 [5] D.C.Montgomery, “Design of Experiments”, Arizona State University, John and Wiley, Fifth edition, 2005. [6] T. H. Baek, “Hybrid Stress Analysis of Perforated Composites Using Strain Gages”, Journal of Experimental Mechanics Springer link Journals, Vol. 41, No. 2, June2001, PP 195-203. [7] Josip Kacmarcik, “Comparison Of Numerically And Experimentally Determined SCF For Nozzle In Cylindrical Pressure Vessel”, 14th International Research/Expert Conference Trends in the Development of Machinery and Associated Technology TMT 2010, Mediterranean Cruise, 11-18 September 2010. [8] Jiju Antony, “Design of Experiments for Engineers and Scientists”, The University of Strathclyde. First edition, 2003. BIOGRAPHIES Avinash Kharat is Assistant Professor at Bharati Vidyapeeth, Has completed M.E in CAD/CAM/CAE from Kit’s college of Engg., Kolhapur. The topic of his dissertation is effect of opening pattern on stress distribution of pressure vessel. Dr. V. V. Kulkarni completed his PhD in Mechanical Engineering and presently working as Principal and Head, at Sanjay Ghodawat College of Engineering, Kolhapur. His research interest includes, Computer Aided Fixture Design, FEA, and Pressure Vessel Design. 0 20 40 60 80 100 120 32mm 40mm 65mm 80mm Avg.Microstrain Opening Diameter (mm) Avg. strain vs Opening diameter 0.2 0.4 0.6 0.7