Design-to-fabrication automation for the cognitive machine shop

被引:43
作者
Shea, Kristina [1 ]
Ertelt, Christoph [1 ]
Gmeiner, Thomas [1 ]
Ameri, Farhad [2 ]
机构
[1] Tech Univ Munich, Inst Prod Dev, Virtual Prod Dev Grp, D-85748 Garching, Germany
[2] Texas State Univ, Dept Engn Technol, San Marcos, TX 78666 USA
关键词
CAD/CAPP/CAM; Cognitive technical systems; Generative process planning; Shape grammars; Ontology; Fixture design; COMPUTER-AIDED FIXTURE; PLANNING SYSTEMS; SETUP; INTEGRATION; FEATURES; PERFORMANCE; GENERATION; OPERATIONS; SEMANTICS; LANGUAGE;
D O I
10.1016/j.aei.2010.05.017
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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
引用
收藏
页码:251 / 268
页数:18
相关论文
共 72 条
[1]  
AGARWAL M, 2001, AL EDAM, V14, P431
[2]  
AHN SH, 2001, J COMPUT INF SCI ENG, V1, P52
[3]  
AMERI F, 2006, UPPER ONTOLOGY MANUF
[4]  
Ameri F., 2008, Computer-Aided Design and Applications, V5, P601
[5]  
[Anonymous], 2006, Planning algorithms
[6]  
ARAS E, 2008, P ASME 2008 INT DES
[7]   IRONIES OF AUTOMATION [J].
BAINBRIDGE, L .
AUTOMATICA, 1983, 19 (06) :775-779
[8]  
Beetz M., 2007, P 30 GERM C ART INT
[9]   Flexible fixture design and automation: Review, issues and future directions [J].
Bi, ZM ;
Zhang, WJ .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2001, 39 (13) :2867-2894
[10]   Tool paths and cutting technology in computer-aided process planning [J].
Boogert, RM ;
Kals, HJJ ;
vanHouten, FJAM .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 1996, 11 (03) :186-197