Machining Process Monitoring and Control: The State-Of-The-Art
Abstract
Research in automating the process level of machining operations has been conducted, in both academia and industry, over the past few decades. This work is motivated by a strong belief that research in this area will provide increased productivity, improved part quality, reduced costs, and relaxed machine design constraints. The basis for this belief is two-fold. First, machining process automation can be applied to both large batch production environments and small batch jobs. Second, process automation can autonomously tune machine parameters (feed, speed, depth of cut, etc.) on-line and off-line to substantially increase the machine tool's performance in terms of part tolerances and surface finish, operation cycle time, etc. Process automation holds the promise of bridging the gap between product design and process planning, while reaching beyond the capability of a human operator. The success of manufacturing process automation hinges primarily on the effectiveness of the process monitoring and control systems. This paper discusses the evolution of machining process monitoring and control technologies and conducts an in-depth review of the state-of-the-art of these technologies over the past decade. The research in each area is highlighted with experimental and simulation examples. Open architecture software platforms that provide the means to implement process monitoring and control systems are also reviewed. The impact, industrial realization, and future trends of machining process monitoring and control technologies are also discussed.
Recommended Citation
R. G. Landers et al., "Machining Process Monitoring and Control: The State-Of-The-Art," Journal of Manufacturing Science and Engineering, American Society of Mechanical Engineers (ASME), Jan 2004.
The definitive version is available at https://doi.org/10.1115/1.1707035
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Process Monitoring; Productivity; Surface Finishing; Machine-tools; Machining; Process control
International Standard Serial Number (ISSN)
1087-1357
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
01 Jan 2004
