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Quantifying microstructural features 
and finding structure-property 
linkages in aging process of Al6061 
ME8883 Materials Informatics 
Ali Khosravani
Introduction 
 Alloys in this group have 
 high strength-to-weight ratio 
 Good weldability 
 good formability 
 good corrosion resistance 
Soft Strength increase Peak Strength Overaged 
Solid 
Solution 
Coherent 
Precipitates (β”) 
Partially 
Coherent(β’) 
Incoherent 
Precipitates(β) 
 Application 
 Aircraft fittings 
 camera lens mounts 
 electrical fittings and connectors 
 brake pistons, hydraulic pistons 
 valves and valve parts 
 bike frames. 
 Strengthen by Precipitation of 
Mg2Si, higher levels of Mg2Si 
leeds to higher strength
Microstructure 
Microstructural features of impact 
exist at different length scales 
• Coherent GP zones and semi-coherent 
precipitate particles (TEM or SEM) 
 Volume fraction 
 Size (nm) 
 Aspect ratio 
 Spacing (nm) 
• Al-Fe-Si-type constituent particles (OM) 
 Volume fraction 
 Size (microns) 
 Aspect ratio 
 Spacing (microns) 
• Grain structure, including degree of 
recrystallization and texture (EBSD) 
 Size (microns) 
 Aspect ratio 
 Texture
Mechanical Properties and microstructure 
Precipitate hardening strengthen material 
Mechanical Properties 
is a result of : 
 Precipitate Volume fraction 
 Precipitate Size (nm) 
 Precipitate Aspect ratio 
 Precipitate Spacing (nm) 
 Particle Volume fraction 
 Particle Size (microns) 
 Particle Aspect ratio 
 Particle Spacing (microns) 
 Grain structure 
 Grain Size 
 Grain Aspect ratio 
 Texture 
 Grain Boundary
Experiments
Mechanical testing 
 Uniaxial Tensile Test 
 Five tests were run for each condition. 
 ASTM E8-13a (Round specimens with a diameter 
and gage length of 0.25” of 1” respectively. 
 The machine was run at a constant cross head 
speed to achieve a strain rate of 0.005 in/in /s 
Al 6061 Specimen 
Type 
Average Yield 
Strength (ksi) 
Average Ultimate 
Tensile Strength (ksi) 
400F HT 43.136 46.400 
525F HT 26.022 33.188 
650F HT 13.493 24.439 
775F HT 8.633 20.321 
AR RD 44.114 47.660
Microstructural Datasets 
 EBSD 
 75 scans and combined into 
scan size of7x7 mm2 
 4 μm resolution 
 SEM 
 10 BSE images at random 
regions 
 View field: 100x100 μm2 
 Optical Microscope (OM) 
 10 images at random regions 
 View field: 800x600 μm2
EBSD dataset 
• Grain size distribution 
 Grain size distribution is 
calculated based on number 
of pixels in each grain. 
• Grain aspect ratio distribution 
 The aspect ratio is defined as 
the length of the minor axis 
divided by the length of the 
major axis and thus ranges 
from 0 to 1 
Grain aspect ratio = 
푏 
푎
OM dataset 
 Images were corrected and segmented 
 Volume fraction, Size, Aspect ratio, and Spacing of particle 
were measured 
400F 
Original Image Corrected Image Segmented Image 
775F
Chord Length 
 Calculating chord lengths row by row on x direction 
and column by column in y directions on binary images 
0 50 100 150 200 250 300 350 400 450 500 
3 
2 
1 
0 
x 10 
-4 
Number of Pixels 
Frequency 
AR 
400 F 
525 F 
650 F 
775 F 
 Performing this operation over 10 images
 TEM images required to provide 
information about precipitate in 
higher resolution and information 
about precipitate/matrix interface 
SEM dataset 
 Images were segmented 
 Volume fraction, Size, and Spacing of particle were measured
2-Point Statistics vs Measures Values 
2-point statistics contains all information 
about particle size, aspect ratio, volume 
fraction and their spacing. 
PCA can be performed on 2-point statistic 
instead of the calculated parameters (Size, 
spacing, aspect ratio) 
0.8 
0.6 
0.4 
0.2 
0 
-0.2 
-0.4 
-40 -20 0 20 40 60 
0.6 
0.4 
0.2 
0 
-0.2 
-0.4 
-0.6 
-0.8 
PCA on 2-Point Statistics 
-0.6 
PC 1 
PC 2 
AR 
400 F 
525 F 
650 F 
775 F 
-40 -20 0 20 40 60 
PC 1 
PC 3 
0.1 
0.08 
0.06 
0.04 
0.02 
0 
-0.02 
-0.04 
-0.06 
-0.08 
-0.3 -0.2 -0.1 0 0.1 0.2 
PC 1 
PC 2 
AR 
400 F 
525 F 
650 F 
775 F 
0.03 
0.02 
0.01 
0 
-0.01 
-0.02 
-0.03 
-0.3 -0.2 -0.1 0 0.1 0.2 
PC 1 
PC 3 
PCA on Chord length(Particle 
Spacing), Size, Aspect Ratio
0.8 
0.6 
0.4 
0.2 
0 
-0.2 
-0.4 
-0.6 
-30 -20 -10 0 10 20 30 40 50 
PC 1 
PC 2 
AR 
400 F 
525 F 
650 F 
775 F 
0.6 
0.4 
0.2 
0 
-0.2 
-0.4 
-0.6 
-0.8 
-30 -20 -10 0 10 20 30 40 50 
PC 1 
PC 3 
PCA on 2-Point Statistics
Averaging on Measured Values 
 Image dimensions from each OM, EBSD, 
and SEM datasets are different. 
 The images were taken at random 
regions on sample 
To combine all Data together, 
OM and SEM datasets need to 
be averaged out 
EBSD 
OM 
SEM
2-point Statistics in quantifying each 
microstructural features 
00 
f 
r 
150 
200 
0 
250 
0.04 
0.03 
0.02 
0.03 
0.02 
0.03 
0.02 
150 200 250 
0.04 
0.03 
0.02 
0.01 
150 
200 
250 
150 200 -50 0 50 
50 
-50 
2-point statistics contains all information 
about particle size, aspect ratio, volume 
fraction and their spacing. 
PCA can be performed on 2-point statistic 
instead of the calculated parameters (Size, 
spacing, aspect ratio) 
150 
50 
200 
250 
150 
50 
200 
250 
150 
50 
0 
200 
-50 
150 
50 
0 
200 
250 
150 
50 
200 
250 
150 
50 
0 
200 
-50 
50 
150 
200 
250 
150 
50 
200 
0 
-50 
250 
-50 0 50 
150 
50 
200 
0 
-50 
0 
-50 
0 
-50 
0 
-50 
-50 
0 
-50 
0.04 
0.03 
0.02 
150 
200 
250 
150 200 250 
0.04 
0.03 
0.02 
0.01 
150 
200 
250 
0.04 
0.03 
0.02 
150 200 250 
0.04 
0.03 
0.02 
0.01 
150 
200 
250 
0.04 
0.03 
0.02 
150 200 250 
0.01 
0.03 
0.02 
150 
200 
250 
150 200 250 
0.03 
0.02 
0.01 
150 
200 
250 
0.04 
0.03 
0.02 
150 200 250 
0.04 
0.03 
0.02 
0.01 
150 
200 
250 
0.03 
0.02 
150 200 250 
0.01 
250 
0.03 
0.02 
150 
200 
250 
150 200 250 
0.03 
0.02 
0.01 
150 
200 
250 
0.03 
0.02 
250 
150 200 250 
0.03 
0.02 
0.01 
150 
200 
250 
0.03 
0.02 
150 200 250 
0.01 
150 
200 
250 
0.04 
0.03 
0.02 
150 200 250 
0.01 
0.04 
0.03 
0.02 
150 200 250 
0.01 
150 
200 
250 
0.04 
0.03 
0.02 
150 200 250 
0.01 
150 
200 
250 
0.03 
0.02 
150 200 250 
0.01 
0.04 
0.03 
0.02 
150 200 250 
0.01 
150 
200 
250 
0.03 
0.02 
150 200 250 
0.01 
150 
200 
250 
0.03 
0.02 
150 200 250 
0.01 
250 
0.03 
0.02 
150 200 250 
0.01 
150 
200 
250 
0.03 
0.02 
150 200 250 
0.01 
250 
0.01 
150 200 250 
0.01 
150 200 250 
0.01 
250 
0.01 
150 200 250 
0.01 
150 200 250 
0.01 
250 
0.01 
150 200 250 
0.01 
150 200 250 
0.01 
-50 0 50 -50 0 50 -50 0 50 
-50 0 50 -50 0 50 
-50 0 50 -50 0 50 -50 0 50
0.1 
0.05 
0 
-0.05 
-0.1 
-20 -10 0 10 20 30 40 
0.06 
0.04 
0.02 
0 
-0.02 
-0.04 
-0.06 
-0.08 
-0.1 
PCA on Average values from optical images (2-Point Statistics) 
and EBSD values (Grain size, Grain aspect ratio) 
-0.15 
PC 1 
PC 2 
AR 
400 F 
525 F 
650 F 
775 F 
-20 -10 0 10 20 30 40 
PC 3 
PC 1 
Principal Component Analysis
Structure-property (Yield Strength) linkages 
45 
40 
35 
30 
25 
20 
15 
10 
5 
-20 0 20 40 
Yield Strength (ksi) 
PC 1 
AR 
400 F 
525 F 
650 F 
775 F 
45 
40 
35 
30 
25 
20 
15 
10 
5 
-0.2 -0.1 0 0.1 0.2 
Yield Strength (ksi) 
PC 2 
45 
40 
35 
30 
25 
20 
15 
10 
5 
-0.1 -0.05 0 0.05 0.1 
Yield Strength (ksi) 
PC 3
Structure- property (Ultimate Tensile 
Strength) linkages 
50 
45 
40 
35 
30 
25 
20 
-20 0 20 40 
Ultimate Tensile Strength(ksi) 
PC 1 
AR 
400 F 
525 F 
650 F 
775 F 
50 
45 
40 
35 
30 
25 
20 
-0.2 -0.1 0 0.1 0.2 
Ultimate Tensile Strength(ksi) 
PC 2 
50 
45 
40 
35 
30 
25 
20 
-0.1 -0.05 0 0.05 0.1 
Ultimate Tensile Strength(ksi) 
PC 3
Future work 
High Throughput Experiments 
EBSD 
OM 
SEM 
 Local properties 
Measuring local properties 
through nano- and miro-indentation 
 Local microstructure 
Collecting EBSD and OM 
images at the same area, and 
SEM images at the known 
locations within marks
Acknowledgments 
 Dr. Surya Kalidindi 
 Dr. Tony Fast 
 Jordan Weaver 
 Jon Yabansu 
 Ahmet Cecen 
 Andrew Castillo

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Nist project final report

  • 1. Quantifying microstructural features and finding structure-property linkages in aging process of Al6061 ME8883 Materials Informatics Ali Khosravani
  • 2. Introduction  Alloys in this group have  high strength-to-weight ratio  Good weldability  good formability  good corrosion resistance Soft Strength increase Peak Strength Overaged Solid Solution Coherent Precipitates (β”) Partially Coherent(β’) Incoherent Precipitates(β)  Application  Aircraft fittings  camera lens mounts  electrical fittings and connectors  brake pistons, hydraulic pistons  valves and valve parts  bike frames.  Strengthen by Precipitation of Mg2Si, higher levels of Mg2Si leeds to higher strength
  • 3. Microstructure Microstructural features of impact exist at different length scales • Coherent GP zones and semi-coherent precipitate particles (TEM or SEM)  Volume fraction  Size (nm)  Aspect ratio  Spacing (nm) • Al-Fe-Si-type constituent particles (OM)  Volume fraction  Size (microns)  Aspect ratio  Spacing (microns) • Grain structure, including degree of recrystallization and texture (EBSD)  Size (microns)  Aspect ratio  Texture
  • 4. Mechanical Properties and microstructure Precipitate hardening strengthen material Mechanical Properties is a result of :  Precipitate Volume fraction  Precipitate Size (nm)  Precipitate Aspect ratio  Precipitate Spacing (nm)  Particle Volume fraction  Particle Size (microns)  Particle Aspect ratio  Particle Spacing (microns)  Grain structure  Grain Size  Grain Aspect ratio  Texture  Grain Boundary
  • 6. Mechanical testing  Uniaxial Tensile Test  Five tests were run for each condition.  ASTM E8-13a (Round specimens with a diameter and gage length of 0.25” of 1” respectively.  The machine was run at a constant cross head speed to achieve a strain rate of 0.005 in/in /s Al 6061 Specimen Type Average Yield Strength (ksi) Average Ultimate Tensile Strength (ksi) 400F HT 43.136 46.400 525F HT 26.022 33.188 650F HT 13.493 24.439 775F HT 8.633 20.321 AR RD 44.114 47.660
  • 7. Microstructural Datasets  EBSD  75 scans and combined into scan size of7x7 mm2  4 μm resolution  SEM  10 BSE images at random regions  View field: 100x100 μm2  Optical Microscope (OM)  10 images at random regions  View field: 800x600 μm2
  • 8. EBSD dataset • Grain size distribution  Grain size distribution is calculated based on number of pixels in each grain. • Grain aspect ratio distribution  The aspect ratio is defined as the length of the minor axis divided by the length of the major axis and thus ranges from 0 to 1 Grain aspect ratio = 푏 푎
  • 9. OM dataset  Images were corrected and segmented  Volume fraction, Size, Aspect ratio, and Spacing of particle were measured 400F Original Image Corrected Image Segmented Image 775F
  • 10. Chord Length  Calculating chord lengths row by row on x direction and column by column in y directions on binary images 0 50 100 150 200 250 300 350 400 450 500 3 2 1 0 x 10 -4 Number of Pixels Frequency AR 400 F 525 F 650 F 775 F  Performing this operation over 10 images
  • 11.  TEM images required to provide information about precipitate in higher resolution and information about precipitate/matrix interface SEM dataset  Images were segmented  Volume fraction, Size, and Spacing of particle were measured
  • 12. 2-Point Statistics vs Measures Values 2-point statistics contains all information about particle size, aspect ratio, volume fraction and their spacing. PCA can be performed on 2-point statistic instead of the calculated parameters (Size, spacing, aspect ratio) 0.8 0.6 0.4 0.2 0 -0.2 -0.4 -40 -20 0 20 40 60 0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 PCA on 2-Point Statistics -0.6 PC 1 PC 2 AR 400 F 525 F 650 F 775 F -40 -20 0 20 40 60 PC 1 PC 3 0.1 0.08 0.06 0.04 0.02 0 -0.02 -0.04 -0.06 -0.08 -0.3 -0.2 -0.1 0 0.1 0.2 PC 1 PC 2 AR 400 F 525 F 650 F 775 F 0.03 0.02 0.01 0 -0.01 -0.02 -0.03 -0.3 -0.2 -0.1 0 0.1 0.2 PC 1 PC 3 PCA on Chord length(Particle Spacing), Size, Aspect Ratio
  • 13. 0.8 0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -30 -20 -10 0 10 20 30 40 50 PC 1 PC 2 AR 400 F 525 F 650 F 775 F 0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 -30 -20 -10 0 10 20 30 40 50 PC 1 PC 3 PCA on 2-Point Statistics
  • 14. Averaging on Measured Values  Image dimensions from each OM, EBSD, and SEM datasets are different.  The images were taken at random regions on sample To combine all Data together, OM and SEM datasets need to be averaged out EBSD OM SEM
  • 15. 2-point Statistics in quantifying each microstructural features 00 f r 150 200 0 250 0.04 0.03 0.02 0.03 0.02 0.03 0.02 150 200 250 0.04 0.03 0.02 0.01 150 200 250 150 200 -50 0 50 50 -50 2-point statistics contains all information about particle size, aspect ratio, volume fraction and their spacing. PCA can be performed on 2-point statistic instead of the calculated parameters (Size, spacing, aspect ratio) 150 50 200 250 150 50 200 250 150 50 0 200 -50 150 50 0 200 250 150 50 200 250 150 50 0 200 -50 50 150 200 250 150 50 200 0 -50 250 -50 0 50 150 50 200 0 -50 0 -50 0 -50 0 -50 -50 0 -50 0.04 0.03 0.02 150 200 250 150 200 250 0.04 0.03 0.02 0.01 150 200 250 0.04 0.03 0.02 150 200 250 0.04 0.03 0.02 0.01 150 200 250 0.04 0.03 0.02 150 200 250 0.01 0.03 0.02 150 200 250 150 200 250 0.03 0.02 0.01 150 200 250 0.04 0.03 0.02 150 200 250 0.04 0.03 0.02 0.01 150 200 250 0.03 0.02 150 200 250 0.01 250 0.03 0.02 150 200 250 150 200 250 0.03 0.02 0.01 150 200 250 0.03 0.02 250 150 200 250 0.03 0.02 0.01 150 200 250 0.03 0.02 150 200 250 0.01 150 200 250 0.04 0.03 0.02 150 200 250 0.01 0.04 0.03 0.02 150 200 250 0.01 150 200 250 0.04 0.03 0.02 150 200 250 0.01 150 200 250 0.03 0.02 150 200 250 0.01 0.04 0.03 0.02 150 200 250 0.01 150 200 250 0.03 0.02 150 200 250 0.01 150 200 250 0.03 0.02 150 200 250 0.01 250 0.03 0.02 150 200 250 0.01 150 200 250 0.03 0.02 150 200 250 0.01 250 0.01 150 200 250 0.01 150 200 250 0.01 250 0.01 150 200 250 0.01 150 200 250 0.01 250 0.01 150 200 250 0.01 150 200 250 0.01 -50 0 50 -50 0 50 -50 0 50 -50 0 50 -50 0 50 -50 0 50 -50 0 50 -50 0 50
  • 16. 0.1 0.05 0 -0.05 -0.1 -20 -10 0 10 20 30 40 0.06 0.04 0.02 0 -0.02 -0.04 -0.06 -0.08 -0.1 PCA on Average values from optical images (2-Point Statistics) and EBSD values (Grain size, Grain aspect ratio) -0.15 PC 1 PC 2 AR 400 F 525 F 650 F 775 F -20 -10 0 10 20 30 40 PC 3 PC 1 Principal Component Analysis
  • 17. Structure-property (Yield Strength) linkages 45 40 35 30 25 20 15 10 5 -20 0 20 40 Yield Strength (ksi) PC 1 AR 400 F 525 F 650 F 775 F 45 40 35 30 25 20 15 10 5 -0.2 -0.1 0 0.1 0.2 Yield Strength (ksi) PC 2 45 40 35 30 25 20 15 10 5 -0.1 -0.05 0 0.05 0.1 Yield Strength (ksi) PC 3
  • 18. Structure- property (Ultimate Tensile Strength) linkages 50 45 40 35 30 25 20 -20 0 20 40 Ultimate Tensile Strength(ksi) PC 1 AR 400 F 525 F 650 F 775 F 50 45 40 35 30 25 20 -0.2 -0.1 0 0.1 0.2 Ultimate Tensile Strength(ksi) PC 2 50 45 40 35 30 25 20 -0.1 -0.05 0 0.05 0.1 Ultimate Tensile Strength(ksi) PC 3
  • 19. Future work High Throughput Experiments EBSD OM SEM  Local properties Measuring local properties through nano- and miro-indentation  Local microstructure Collecting EBSD and OM images at the same area, and SEM images at the known locations within marks
  • 20. Acknowledgments  Dr. Surya Kalidindi  Dr. Tony Fast  Jordan Weaver  Jon Yabansu  Ahmet Cecen  Andrew Castillo