Results 131 to 140 of about 4,438,120 (290)
Research on Stress-Strain Detection in Iron Specimens Using DIC and ACSM Techniques. [PDF]
Yang G, Chen Z, Lei Z, Li R, Wang Y.
europepmc +1 more source
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
The Stress-Strain State in the Pelvis During Sit-to-Stand Transfer. [PDF]
Žnidaršič U +3 more
europepmc +1 more source
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Edge-focused wire arc additive manufacturing: Method development with ANN-based stress-strain and mass-efficiency. [PDF]
Hong Ngoc TL +3 more
europepmc +1 more source
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Analytical Evaluation of Stress-Strain Behavior and Reaction Mechanism of Lunar Regolith Simulant (CQU-1) Geopolymer. [PDF]
Lu W, Shi Y, Xue X, Cheng G, Li H.
europepmc +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Constituent-Material-Anchored Continual Learning for Full Stress-Strain Prediction of Multi-Material PETG/PC-ABS MEX Laminates. [PDF]
Subramanian RA +5 more
europepmc +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source

