The rigid body motion of flexible parts and
deformations induced during milling are the main root
causes of part errors and are governed mainly from
the choice of process parameters. Therefore, to avoid
failures and achieve better results it becomes
necessary to judge the validity of a given process
plan before performing the actual cut.

This book describes a state of the art milling
process plan verification and optimization system
called FEM-Mill. The main novelties of FEM-Mill lies
in its two important computational modules namely;
(i) the FEM based 3D transient milling simulation
environment, and (ii) The expert system for diagnosis
and rectification of part error causes. The
applicability of AI techniques like ANN and GA in
predicting cutting loads and optimal selection of
process parameters are also demonstrated. The
outcomes of experimental validations are presented in
detail.

This book gives insight into the development of next
generation CAD/CAM technology using the emerging
numerical techniques like FEM and AI. FEM-Mill will
be of interest to software developers, researchers
and engineers involved in process planning, fixture
design and CAD/CAM software development.

Autorentext

Jitender Rai is a Postdoctoral research fellow at Swiss Federal
Institute of Technology (EPFL), Switzerland. He received his
doctorate in mechanical engineering from EPFL, Switzerland in
2008. Paul Xirouchakis is a professor of mechanical engineering,
EPFL. His primary research focus has been on CAD/CAM/CAE and
Intelligent Manufacturing Systems.

Klappentext

The rigid body motion of flexible parts and
deformations induced during milling are the main root
causes of part errors and are governed mainly from
the choice of process parameters. Therefore, to avoid
failures and achieve better results it becomes
necessary to judge the validity of a given process
plan before performing the actual cut.

This book describes a state of the art milling
process plan verification and optimization system
called FEM-Mill. The main novelties of FEM-Mill lies
in its two important computational modules namely;
(i) the FEM based 3D transient milling simulation
environment, and (ii) The expert system for diagnosis
and rectification of part error causes. The
applicability of AI techniques like ANN and GA in
predicting cutting loads and optimal selection of
process parameters are also demonstrated. The
outcomes of experimental validations are presented in
detail.

This book gives insight into the development of next
generation CAD/CAM technology using the emerging
numerical techniques like FEM and AI. FEM-Mill will
be of interest to software developers, researchers
and engineers involved in process planning, fixture
design and CAD/CAM software development.