Just in case if someone is looking to learn microstructure based modelling from scratch.
Learn Microstructure based Modelling (CPFEM via UMAT)
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- Learn about deformation behaviour of single and polycrystal metals at microscale.
https://t.co/AJ0VhIfb1k
Machine Learning and AI in Engineering Applications: Some interesting projects and ideas
In this video, I discuss some of our recent projects related to ML/DL used to predict different phenomenon in oil and gas & renewable energy applications.
https://t.co/yAH31tDUxq
Learning to Predict Material Behaviour through Machine Learning -SVR, Support Vector Regression
This video will give you an overview of using machine learning to predict material properties.
Get in touch if you need more information or collaborate.
https://t.co/9U1sTPEigb
Short quiz on FEA / FEM / Finite Element Analysis
This is first of the series of short quizzes has been adapted from different resources. Hope it gives you a flavour and way of judging your knowledge on FEA. Or helps in joining the missing links.
https://t.co/Ci8CwNpo1F
ABAQUS | Nanoindentation Test using ABAQUS CAE
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This video provides the following in regards to performing nanoindentation test in ABAQUS CAE.
https://t.co/8nucnwAtvr
ABAQUS Tutorial | Composite Failure under Explosive / Blast Loading | High Strain Rate Loading
Please don't forget to like and subscribe our channel for regular updates.
https://t.co/wp0KLdMD4b
ABAQUS Tutorial | Johnson-Cook Plasticity Parameter Identification vs Direct Data Input for Material Behaviour
This video provides the following in regards to performing strain rate dependent elastic-plastic response in ABAQUS CAE.
https://t.co/PV8Kt2TDqw
Material parameter identification through experimental data. Though made in the context of ABAQUS/CAE, the procedure can be applied to any other FE software, especially the third part of the video. It is made in a short time. Apologies missing nething.
https://t.co/gA8KSqnV9x
Simulating Upheaval Buckling of a Pipeline due to Operating Temperature Changes using ABAQUS CAE
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https://t.co/Gac4uRG7oK