mtex texture and crystallography analysis toolbox Search Results


mtex toolbox in matlab  (MathWorks Inc)
96
MathWorks Inc mtex toolbox in matlab
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Toolbox In Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex toolbox in matlab/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
mtex toolbox in matlab - by Bioz Stars, 2026-03
96/100 stars
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toolbox for analysing crystallographic textures  (MathWorks Inc)
90
MathWorks Inc toolbox for analysing crystallographic textures
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Toolbox For Analysing Crystallographic Textures, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/toolbox for analysing crystallographic textures/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
toolbox for analysing crystallographic textures - by Bioz Stars, 2026-03
90/100 stars
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mtex matlab toolbox  (MathWorks Inc)
90
MathWorks Inc mtex matlab toolbox
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex matlab toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mtex matlab toolbox - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
matlab toolbox mtex  (MathWorks Inc)
90
MathWorks Inc matlab toolbox mtex
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Matlab Toolbox Mtex, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab toolbox mtex/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab toolbox mtex - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
mtex crystallographic texture toolbox  (MathWorks Inc)
90
MathWorks Inc mtex crystallographic texture toolbox
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Mtex Crystallographic Texture Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mtex crystallographic texture toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mtex crystallographic texture toolbox - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier
texture analysis software mtex  (Hielscher Ultrasonics)
90
Hielscher Ultrasonics texture analysis software mtex
Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function <t>in</t> <t>MATLAB</t> detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.
Texture Analysis Software Mtex, supplied by Hielscher Ultrasonics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/texture analysis software mtex/product/Hielscher Ultrasonics
Average 90 stars, based on 1 article reviews
texture analysis software mtex - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function in MATLAB detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.

Journal: Journal of Materials Research and Technology

Article Title: Modeling local deformation, damage distribution, and phase transformation in zirconia particle-reinforced TRIP steel composites

doi: 10.1016/j.jmrt.2024.08.015

Figure Lengend Snippet: Fig. 11. Comparison of local damage between two cases of simulation and experiment at 6 % 11 %, and 16 % global strain (from left to right). Note that the parameters 0.75 and 0.9 indicated the critical plastic deformation damage criteria for the TRIP steel matrix within the simulation as shown on the top (blue) and bottom (green), respectively. The image processing function in MATLAB detects experimental data based on the SEM images from the in situ tensile test and five steps of the detection process: threshold, filtering, free-hand regions of interest (ROI), flood fill, and normalization.

Article Snippet: Additionally, the effect of crystallographic texture is analyzed using the MTEX toolbox in MATLAB [38] for data post-processing.

Techniques: Comparison, In Situ