A systematic design methodology for reconfigurable machine tools and controllers for use with hybrid manufacturing processes

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

Hybrid manufacturing processes, namely combining multiple processes to interact with the workpiece and each other, have the potential to overcome existing limitations, such as tool accessibility in CNC machining. The synergistic combination of multiple manufacturing processes may greatly benefit from retaining the ability to reconfigure the machine tool. Also, the use of modular control system architectures may provide robust and flexible control over a variety of operating conditions. Although systematic design tools exist to identify hybrid manufacturing processes, there are currently no structured frameworks that may be used to design and validate reconfigurable machine tool and open-architecture control system concepts. This paper seeks to define such a framework, whereby design constraints and requirements may be captured and later used to inform the design process. This paper describes the proposed method, in detail, and provides some illustrative examples of its application in the design of a parallel kinematic reconfigurable machine tool, for use with hybrid manufacturing processes.

Original languageEnglish
Title of host publicationFAIM 2014 - Proceedings of the 24th International Conference on Flexible Automation and Intelligent Manufacturing
Subtitle of host publicationCapturing Competitive Advantage via Advanced Manufacturing and Enterprise Transformation
EditorsF. Frank Chen
PublisherDEStech Publications Inc.
Pages633-640
Number of pages8
ISBN (Electronic)9781605951737, 9781510824287
Publication statusPublished - 2014
Event24th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2014 - San Antonio, USA United States
Duration: 20 May 201423 May 2014

Conference

Conference24th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2014
Country/TerritoryUSA United States
CitySan Antonio
Period20/05/1423/05/14

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Industrial and Manufacturing Engineering

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