Modular CNC Design for Intelligent Machining, Part 2: Modular Integration of Sensor Based Milling Process Monitoring and Control Tasks

Author:

Altintas¸ Y.1,Munasinghe W. K.1

Affiliation:

1. Department of Mechanical Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

Abstract

Modular integration of sensor based milling process monitoring and control functions to a proposed CNC system architecture is presented. Each sensor based process control algorithm resides in a dedicated processor in the AT bus with a modular software. The CNC system’s motion control module has been designed to accomodate rapid manipulation of feeds, cutting conditions and NC tool path which may be demanded by machining process control modules in real time. Modular integration of adaptive control of cutting forces, tool condition monitoring, chatter detection and suppression tasks are illustrated as examples. The process control and monitoring modules are serviced in the real-time multi-tasking environment within one millisecond time intervals without disturbing the position control system. The paper present constraints and guidelines in designing CNC systems which allow modular integration of user developed real time machining process control and monitoring applications.

Publisher

ASME International

Subject

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

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Change and Maintenance Method for 3D Machining Procedure Model Based on Design Structure Matrix;International Journal of Pattern Recognition and Artificial Intelligence;2018-01-03

2. Integration of virtual and on-line machining process control and monitoring;CIRP Annals;2017

3. Wireless Sensor Networks for Machinery Monitoring;Manufacturing Engineering and Materials Handling, Parts A and B;2005-01-01

4. A Process Monitoring System for Process-Based Product Validation;Journal of Manufacturing Processes;2005-01

5. Machining Process Monitoring and Control: The State-of-the-Art;Journal of Manufacturing Science and Engineering;2004-05-01

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