I am doing 2D orthogonal cutting simulation in ABAQUS for aluminum. Reducing mesh size up to 0.08 mm reduces the error to 3% but further reduction leads to increase in error from 3 to 39%.
Why I am having this trend? How to solve this?
We know that time dependent temperature profiles can be generated using methods like FEM which solve PDEs. Can we do same using machine learning? Has anyone come across any related study?
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Can someone please clarify whther Gallium Ferrite(GaFeO3) has perovskite structure or not?
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I need to carry out molecular dynamics simulation on Aluminium alloy. For this i need the crystal structure that which could be further replicated to form a structure.
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Hi, I have modelled a three-span arch bridge with soil fill over along with pedestals. The FE modelling is done in LUSAS with HX8M solid elements (i.e. 3D solid modelling). The non-linearity is...
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Here are some of the parts of the input file: &system ibrav = 0, nat= 9, ntyp= 2, ecutwfc = 36.7, ecutrho = 367, smearing = 'methfessel-paxton', occupations = 'smearing',...
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Which of the methods like water jet cutting, diamond cutting, laser cutting, etc. is more suitable to cut the carbon nanotubes reinforced epoxy composites into test sample to ensure the clean...
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