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Advanced Numerical and AI Strategies for Material Forming
Description:
This special edition presents research results related to the use of advanced and non-conventional methods for modelling and simulation of forming processes, including the application of machine learning and AI techniques. By that, developments in the field of numerical simulation were considered that could eventually be applied to the simulation of any forming process. The edition will be helpful for researchers in materials science and the development of materials processing technologies.
Purchase this book:
Print
978-3-0364-0986-3
$230.00
soon available
Info:
eBook:
ToC:
Editors:
Benjamin Klusemann
DOI:
https://doi.org/10.4028/b-U89t4a
DOI link
THEMA:
TDP, TDPM, TG, TGBF, TGH, TGMS, UB
BISAC:
TEC009070, TEC020000, TEC021000
Keywords:
3D Visualisation, Algebraic Hierarchical Graph Neural Network, Artificial Intelligence, Cellular Automata, Composite, Composite Forming Simulation, Data-Driven Support Tools, Deep-Drawing, Digital Twin, Dual-Phase Steel, Friction Coefficient, Friction Stir Welding, Friction Surfacing, Graph Neural Network, Hot Deformation Process, Hot Strip Rolling, Hybrid Metamodel, Large Sliding, Machine Learning, Multi-Objective Bayesian Optimisation, Numerical Modelling, Parameter Optimisation, Regression, Rotary Tube Bending, Sheet Metal Stamping, Stamping, Static Recrystallisation, Symbolic Regression
Details:
Special topic volume with invited peer-reviewed papers only
Pages:
270
Year:
2026
ISBN-13 (softcover):
9783036409863
ISBN-13 (eBook):
9783036419862
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