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A knowledge-based system for the conceptual design of grippers for handling fabrics

Published online by Cambridge University Press:  01 January 1999

V.C. MOULIANITIS ,
A.J. DENTSORAS  and
N.A. ASPRAGATHOS
V.C. MOULIANITIS
Affiliation:
University of Patras, Mechanical Engineering and Aeronautics Department, 26500 Patras, Greece
A.J. DENTSORAS
Affiliation:
University of Patras, Mechanical Engineering and Aeronautics Department, 26500 Patras, Greece
N.A. ASPRAGATHOS
Affiliation:
University of Patras, Mechanical Engineering and Aeronautics Department, 26500 Patras, Greece
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Abstract

The paper presents a knowledge-based system (KBS) for the conceptual design of grippers for handling fabrics. Its main purpose is the integration of the domain knowledge in a single system for the systematic design of this type of grippers. The knowledge presented, in terms of gripper, material and handling process, are classified. The reasoning strategy is based upon a combination of a depth-first search method and a heuristic method. The heuristic search method finds a final solution from a given set of feasible solutions and can synthesize new solutions to accomplish the required specifications. Details of the main features of the system are given, including its ability to take critical design decisions according to four criteria, weighted by the designer. The knowledge-based system was implemented in the Kappa P. C. 2.3.2 environment. Two examples are given to illustrate some critical aspects concerning the KBS development, to explain the operation of the proposed searching heuristic method, and to show its effectiveness in producing design concepts for grippers.

Keywords

Knowledge-based SystemsDesignFabrics
Type
Research Article
Information
AI EDAM , Volume 13 , Issue 1 , January 1999 , pp. 13 - 25
Copyright
1999 Cambridge University Press

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