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Ebook: Modeling of Metal Forming and Machining Processes: by Finite Element and Soft Computing Methods

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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.




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.




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.


Content:
Front Matter....Pages i-xvi
Metal Forming and Machining Processes....Pages 1-32
Review of Stress, Linear Strain and Elastic Stress-Strain Relations....Pages 33-94
Classical Theory of Plasticity....Pages 95-194
Plasticity of Finite Deformation and Anisotropic Materials, and Modeling of Fracture and Friction....Pages 195-272
Finite Element Modeling of Metal Forming Processes Using Eulerian Formulation....Pages 273-344
Finite Element Modeling of Metal Forming Processes Using Updated Lagrangian Formulation....Pages 345-423
Finite Element Modeling of Orthogonal Machining Process....Pages 425-449
Background on Soft Computing....Pages 451-501
Predictive Modeling of Metal Forming and Machining Processes Using Soft Computing....Pages 503-547
Optimization of Metal Forming and Machining Processes....Pages 549-577
Epilogue....Pages 579-583
Back Matter....Pages 585-590


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.


Content:
Front Matter....Pages i-xvi
Metal Forming and Machining Processes....Pages 1-32
Review of Stress, Linear Strain and Elastic Stress-Strain Relations....Pages 33-94
Classical Theory of Plasticity....Pages 95-194
Plasticity of Finite Deformation and Anisotropic Materials, and Modeling of Fracture and Friction....Pages 195-272
Finite Element Modeling of Metal Forming Processes Using Eulerian Formulation....Pages 273-344
Finite Element Modeling of Metal Forming Processes Using Updated Lagrangian Formulation....Pages 345-423
Finite Element Modeling of Orthogonal Machining Process....Pages 425-449
Background on Soft Computing....Pages 451-501
Predictive Modeling of Metal Forming and Machining Processes Using Soft Computing....Pages 503-547
Optimization of Metal Forming and Machining Processes....Pages 549-577
Epilogue....Pages 579-583
Back Matter....Pages 585-590
....
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