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:
a [ an explanation of FEM and its application to the modeling of
manufacturing processes;
a [ a discussion of the numerical difficulties of FEM;
a [ 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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