Modeling of Metal Forming and Machining Processes [electronic resource] :by Finite Element and Soft Computing Methods / by Prakash M. Dixit, Uday S. Dixit.
by Dixit, Prakash M [author.]; Dixit, Uday S [author.]; SpringerLink (Online service).
Material type:
BookSeries: Engineering Materials and Processes: Publisher: London : Springer London, 2008.Description: online resource.ISBN: 9781848001893.Subject(s): Engineering | Computer simulation | Industrial engineering | Machinery | Materials | Engineering | Industrial and Production Engineering | Metallic Materials | Manufacturing, Machines, Tools | Mathematical Modeling and Industrial Mathematics | Simulation and ModelingDDC classification: 670 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | T55.4-60.8 (Browse shelf) | Available |
Metal Forming and Machining Processes -- Review of Stress, Linear Strain and Elastic Stress-Strain Relations -- Classical Theory of Plasticity -- Plasticity of Finite Deformation and Anisotropic Materials, and Modeling of Fracture and Friction -- Finite Element Modeling of Metal Forming Processes Using Eulerian Formulation -- Finite Element Modeling of Metal Forming Processes Using Updated Lagrangian Formulation -- Finite Element Modeling of Orthogonal Machining Process -- Background on Soft Computing -- Predictive Modeling of Metal Forming and Machining Processes Using Soft Computing -- Optimization of Metal Forming and Machining Processes -- Epilogue.
The physics of metal forming and metal removing is normally expressed using non-linear partial differential equations which can be solved using the finite element method (FEM). However, when the process parameters are uncertain and/or the physics of the process is not well understood, soft computing techniques can be used with FEM or alone to model the process. Using FEM, fuzzy set theory and neural networks as modeling tools; Modeling of Metal Forming and Machining Processes provides a complete treatment of metal forming and machining, and includes: • an explanation of FEM and its application to the modeling of manufacturing processes; • a discussion of the numerical difficulties of FEM; • chapters on the application of soft computing techniques in this modeling process. The algorithms and solved examples included make Modeling of Metal Forming and Machining Processes of value to postgraduates, senior undergraduates, lecturers and researchers in these fields. R&D engineers and consultants for the manufacturing industry will also find it of use.
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