4.7 Article

Design-to-fabrication automation for the cognitive machine shop

期刊

ADVANCED ENGINEERING INFORMATICS
卷 24, 期 3, 页码 251-268

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.aei.2010.05.017

关键词

CAD/CAPP/CAM; Cognitive technical systems; Generative process planning; Shape grammars; Ontology; Fixture design

资金

  1. Deutsche Forschungsgememschaft (DFG)

向作者/读者索取更多资源

To meet the rising demands for pure customization of products, new approaches for automated fabrication of customized part geometry are needed, on both the software and hardware side, that balance flexibility, robustness and efficiency This is a great challenge since today it requires significant human expertise supported, only partially, by computer-aided approaches. This paper introduces a new approach and framework for an autonomous design-to-fabrication system that integrates cognitive capabilities, such as reasoning from knowledge models and autonomous planning, and embeds these in the machines themselves to automatically fabricate customized parts The framework integrates into a common process automatic workpiece selection using an ontology, generative CNC machining planning using shape grammars and automated fixture design, based on a novel flexible fixture device hardware. Initial results are given for the machining planning approach applied to 2 5D parts with a defined approach direction and the prototyped fixture device is presented The advantages and potential of the framework stem mainly from applying the principles of cognitive technical systems to a fabrication system to develop an integrated and on-line approach The methods are developed specifically for use on the machine shop floor to take advantage of the possibility to update and extend knowledge models to reflect current fabrication capabilities and to adapt to changes in the environment and re-plan during operation. Finally, future directions, including integrating on-line perception and learning, are discussed, which are required to create a truly flexible and cognitive fabrication system. (C) 2010 Elsevier Ltd. All rights reserved

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