TY  - BOOK
AU  - Dixit,Prakash M.
AU  - Dixit,Uday S.
ED  - SpringerLink (Online service)
TI  - Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods 
T2  - Engineering Materials and Processes,
SN  - 9781848001893
AV  - T55.4-60.8 
U1  - 670 23
PY  - 2008///
CY  - London
PB  - Springer London
KW  - Engineering
KW  - Computer simulation
KW  - Mathematical models
KW  - Industrial engineering
KW  - Production engineering
KW  - Manufacturing industries
KW  - Machines
KW  - Tools
KW  - Metals
KW  - Industrial and Production Engineering
KW  - Metallic Materials
KW  - Manufacturing, Machines, Tools
KW  - Mathematical Modeling and Industrial Mathematics
KW  - Simulation and Modeling
KW  - Electronic books
KW  - local
N1  - 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
N2  - 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
UR  - http://ezproxy.alfaisal.edu/login?url=http://dx.doi.org/10.1007/978-1-84800-189-3
ER  -