An efficient algorithm to estimate optimal preform die shape parameters in forging

DOI10.1108/02644400110409168zbMath1035.74046OpenAlexW2027773860MaRDI QIDQ2777711

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Publication date: 5 May 2002

Published in: Engineering Computations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/02644400110409168

zbMATH Keywords

finite element methodgradient methodobjective functioninverse formulationdirect differentiation methodoptimal two-step forging sequencesensitivity-dependent algorithmsequential unconstrained minimisation technique

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Optimization of other properties in solid mechanics (74P10)

Related Items (5)

Preform optimal design in metal forging using genetic algorithms ⋮ Numerical simulation of the forging process ⋮ The genetic algorithm approach for shape optimization of powder compaction processes considering contact friction and cap plasticity models ⋮ Iterative preform design technique by tracing the material flow along the deformation path ⋮ Finite element modelling and simulation of bulk material forming

Cites Work

• Inverse problems in finite element simulation of metal forming processes
• Simulation model for hot and cold forging by mixed methods including adaptive mesh refinement
• OPTIMAL DESIGN FOR NON-STEADY-STATE METAL FORMING PROCESSES—I. SHAPE OPTIMIZATION METHOD
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