Finite Element Method in Machining Processes

Nonfiction, Science & Nature, Technology, Machinery, Manufacturing
Cover of the book Finite Element Method in Machining Processes by Angelos P. Markopoulos, Springer London
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Angelos P. Markopoulos ISBN: 9781447143307
Publisher: Springer London Publication: August 4, 2012
Imprint: Springer Language: English
Author: Angelos P. Markopoulos
ISBN: 9781447143307
Publisher: Springer London
Publication: August 4, 2012
Imprint: Springer
Language: English

Finite Element Method in Machining Processes provides a concise study on the way the Finite Element Method (FEM) is used in the case of manufacturing processes, primarily in machining. The basics of this kind of modeling are detailed to create a reference that will provide guidelines for those who start to study this method now, but also for scientists already involved in FEM and want to expand their research.

A discussion on FEM, formulations, and techniques currently in use is followed up by machining case studies. Orthogonal cutting, oblique cutting, 3D simulations for turning and milling, grinding, and state-of-the-art topics such as high speed machining and micromachining are explained with relevant examples. This is all supported by a literature review and a reference list for further study.

As FEM is a key method for researchers in the manufacturing and especially in the machining sector, Finite Element Method in Machining Processes is a key reference for students studying manufacturing processes but also for industry professionals.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Finite Element Method in Machining Processes provides a concise study on the way the Finite Element Method (FEM) is used in the case of manufacturing processes, primarily in machining. The basics of this kind of modeling are detailed to create a reference that will provide guidelines for those who start to study this method now, but also for scientists already involved in FEM and want to expand their research.

A discussion on FEM, formulations, and techniques currently in use is followed up by machining case studies. Orthogonal cutting, oblique cutting, 3D simulations for turning and milling, grinding, and state-of-the-art topics such as high speed machining and micromachining are explained with relevant examples. This is all supported by a literature review and a reference list for further study.

As FEM is a key method for researchers in the manufacturing and especially in the machining sector, Finite Element Method in Machining Processes is a key reference for students studying manufacturing processes but also for industry professionals.

More books from Springer London

Cover of the book GIS to Support Cost-effective Decisions on Renewable Sources by Angelos P. Markopoulos
Cover of the book Cardiac Valvular Medicine by Angelos P. Markopoulos
Cover of the book Yin Yang and Organizational Performance by Angelos P. Markopoulos
Cover of the book Evaluation of Cancer Screening by Angelos P. Markopoulos
Cover of the book Tumours in Urology by Angelos P. Markopoulos
Cover of the book Context Management for Distributed and Dynamic Context-Aware Computing by Angelos P. Markopoulos
Cover of the book Fundamental Anatomy for Operative Orthopaedic Surgery by Angelos P. Markopoulos
Cover of the book Behavioral Issues in Operations Management by Angelos P. Markopoulos
Cover of the book Emerging Technological Risk by Angelos P. Markopoulos
Cover of the book Diabetes Management in Clinical Practice by Angelos P. Markopoulos
Cover of the book Success in Academic Surgery: Health Services Research by Angelos P. Markopoulos
Cover of the book Advanced Mechanics in Robotic Systems by Angelos P. Markopoulos
Cover of the book Atlas of Pediatric Cardiac Surgery by Angelos P. Markopoulos
Cover of the book Analysis of Finite Difference Schemes by Angelos P. Markopoulos
Cover of the book Emergent Web Intelligence: Advanced Information Retrieval by Angelos P. Markopoulos
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy