Title
An integrated feature-based dynamic control system for on-line machining, inspection and monitoring
Abstract
Manufacturing companies dealing with high value, high accuracy and complex parts are facing increasing demand for higher quality and efficiency at lower costs and reduced lead times from their global customers. In real-life production such as the Numerical Control NC machining processes, there are continuous changes in machine tool performance, cutting tool conditions, workpiece deformation, cutting parameters, in addition to the changes in the geometry and properties of the parts being machined. Some changes are caused by 'predictable' factors such as cutting forces and machine tool deterioration over time, whilst others are caused by 'unpredictable' factors such as sudden breakdowns, uneven material property, vibration and machining chatter, or even human errors. These dynamic factors impose significant difficulties to ensuring machining accuracy effectively especially the controlling of unrecoverable over-cut errors normally causing part failures. This project aims to establish a set of integrated information models to address the dynamics of machining conditions based on the Dynamic Feature concept proposed by the authors, which are used as the basis for integrating machining, monitoring, and on-line inspection operations for optimized machining process control of high value complex parts. A prototype framework based on an open platform has been developed to enable the application of the proposed method. Industrial examples used to validate the prototype will be presented in this paper.
Year
DOI
Venue
2015
10.3233/ICA-150483
Integrated Computer-Aided Engineering
Keywords
Field
DocType
system integration,dynamics,feature
Automotive engineering,Open platform,Numerical control,Mechanical engineering,Machining,Information model,Control system,Engineering,System integration,Cutting tool,Machine tool
Journal
Volume
Issue
ISSN
22
2
1069-2509
Citations 
PageRank 
References 
9
0.49
14
Authors
4
Name
Order
Citations
PageRank
Ying Guang Li113721.67
Changqing Liu2134.43
James Xiaoyu Gao3275.33
Weiming Shen43407343.73