100th Anniversary Issue of the Manufacturing Engineering Division Paper A Review of Advances in Modeling of Conventional Machining Processes: From Merchant to the Present

Author:

Melkote S.1,Liang S.2,Özel T.3,Jawahir I. S.4,Stephenson D. A.5,Wang B.6

Affiliation:

1. Georgia Institute of Technology George W. School of Mechanical Engineering, , 813 Ferst Drive, Room 381, Atlanta, GA 30332

2. Georgia Institute of Technology George W. Woodruff School of Mechanical Engineering, , 813 Ferst Drive, Room 458, Atlanta, GA 30332

3. Rutgers University Department of Industrial and Systems Engineering, , New Brunswick, 96 Frelinghuysen Rd., CoRE Building, Room 201, Piscataway, NJ 08854

4. University of Kentucky Department of Mechanical Engineering, , 414B RMB, Lexington, KY 40506

5. Ford Motor Company Global Manufacturing Engineering, , 35500 Plymouth Road, Livonia, MI 48150

6. Georgia Institute of Technology George W. Woodruff School of Mechanical Engineering, , Atlanta, GA 30332

Abstract

Abstract This paper presents a review of recent advances in modeling and simulation of conventional metal machining processes, which continue to dominate a significant part of all machining processes, and in recent years, the need for predictive models for machining processes has grown in importance in the digital manufacturing age. Significant advances have been made in modeling the mechanics of cutting in conventional machining, driven by industrial need and enabled by rapid advances in computational power. The paper surveys the state-of-the-art in analytical and numerical modeling of conventional metal machining processes with a focus on their ability to predict useful performance attributes including chip geometry, forces, temperatures, tool wear, residual stress, and microstructure. Also included in the review is a discussion of the industrial use of modeling and simulation tools for conventional machining. Additionally, the practical applicability, implementation benefits, and methodological limitations of conventional machining process modeling have been examined. The paper concludes with a summary of future research directions in modeling and simulation of conventional metal machining processes.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

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