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Orthogonal Metal Cutting Operations
Details
With the advent of the powerful computers, numerical modeling of the manufacturing processes has gained much importance. As a numerical modeling technique, Finite Element Modeling (FEM) is one of the most important techniques that engineers utilize in order to simulate many hard-to-solve physical and mechanical problems. Cutting is considered as an extreme one because it is almost impossible for any physical device to exactly determine what is happening in the tool-chip contact areas. On the other hand, Design of Experiments (DoE) is a collection of statistical techniques intended to reduce the number of experiments with the least adverse effects on the final outcome of the entire experimental setup. Orthogonal arrays are examples of balanced matrices that Taguchi method adopted it to economically optimize the experimentation processes. This book couples FEM and Taguchi statistical optimization to optimize orthogonal cutting operations using Deform 2D software. The outcome of this book should help engineers to emphasize the capabilities of coupling FEM and Taguchi method in optimizing one of the most extreme scenarios of the manufacturing processes.
Autorentext
The author Ravin Rzgar was born on july 23, 1994 And the author korak mohammed was born on January 21, 1994 the both were born in Al Sulaymaniyah, Iraq, studied manufacturing engineering at koya university and are graduate of 2017. They have good experience on CAM, CAD, FEA programs and also on manufacturing processes like turning,welding...etc.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783330329591
- Genre Technology Encyclopedias
- Anzahl Seiten 104
- Herausgeber LAP LAMBERT Academic Publishing
- Größe H220mm x B150mm
- Jahr 2017
- EAN 9783330329591
- Format Kartonierter Einband
- ISBN 978-3-330-32959-1
- Veröffentlichung 06.07.2017
- Titel Orthogonal Metal Cutting Operations
- Autor Ravin Rizgar , Korak Mohammed
- Untertitel Finite Element Modeling and Taguchi Statistical Optimization
- Sprache Englisch