Generalized Kinematic Modeling of Reconfigurable Machine Tools

Author:

Moon Yong-Mo1,Kota Sridhar1

Affiliation:

1. Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, MI 48019

Abstract

To accommodate frequent changes in product design and to be able to process a family of products in a timely and cost-effective manner, the next generation of machine tools should be reconfigurable. Reconfigurability enables reduction not only in machine design lead time but more significantly a reduction in machine set-up and ramp-up time. The essential characteristics of Reconfigurable Machine Tools (RMTs) include modularity, convertibility, flexibility, and cost-effectiveness. This paper presents a mathematical representation scheme using screw theory that lays the foundation for systematic design of reconfigurable machine tools. The motion characteristics of a set of desired machining tasks as well as stored library of machine modules are captured in a common representation scheme. A simple design example to illustrate the application of this methodology for systematic selection and synthesis of reconfigurable machine tools is presented.

Publisher

ASME International

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Mechanical Engineering,Mechanics of Materials

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1. Graph grammar for designing reconfigurable machine tool configurations;PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY;2023

2. A digital and structure-adaptive geometric error definition and modeling method of reconfigurable machine tool;The International Journal of Advanced Manufacturing Technology;2021-01-07

3. Self-Organizing Migrating Algorithm to Minimize Module Changes at Machine-Level in Reconfigurable Manufacturing;Advances in Simulation, Product Design and Development;2019-11-07

4. Machining accuracy reliability during the peripheral milling process of thin-walled components;Robotics and Computer-Integrated Manufacturing;2019-10

5. Ontology-based module selection in the design of reconfigurable machine tools;Journal of Intelligent Manufacturing;2018-10-01

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