CAFixD: A Case-Based Reasoning Fixture Design Method. Framework and Indexing Mechanisms

2005 ◽  
Vol 6 (1) ◽  
pp. 40-48 ◽  
Author(s):  
Iain M. Boyle ◽  
Kevin Rong ◽  
David C. Brown
Keyword(s):  
Design Method ◽  
Critical Issue ◽  
Design Solution ◽  
Case Based Reasoning ◽  
Fixture Design ◽  
Functional Requirements ◽  
Rigorous Approach ◽  
Machining Operations ◽  
Case Based ◽  
Individual Requirement

Fixtures accurately locate and secure a part during machining operations. Various computer-aided fixture design (CAFD) methods have been developed to reduce design costs associated with fixturing. One approach uses a case-based reasoning (CBR) method where relevant design experience is retrieved from a design library and adapted to provide a new design solution. Indexing design cases is a critical issue in CBR, and CBR systems can suffer from an inability to distinguish between cases if indexing is inadequate. This paper presents CAFixD, a CAFD methodology that adopts a rigorous approach to defining indexing attributes based upon axiomatic design functional requirement decomposition. A design requirement is decomposed in terms of functional requirements, physical solutions are retrieved and adapted for each individual requirement, and the design is then reconstituted to form a complete fixture design. This paper presents the CAFixD framework and operation, and discusses in detail the indexing mechanisms used.

CAFixD: A Case-Based Reasoning Fixture Design Method — Framework and Indexing Mechanisms

2004 ◽  
Author(s):  
Iain M. Boyle ◽  
Kevin Rong ◽  
David C. Brown
Keyword(s):  
Design Method ◽  
Critical Issue ◽  
Design Solution ◽  
Case Based Reasoning ◽  
Fixture Design ◽  
Functional Requirements ◽  
Rigorous Approach ◽  
Machining Operations ◽  
Case Based ◽  
Individual Requirement

Fixtures accurately locate and secure a part during machining operations such that the part can be manufactured to design specifications. To reduce design costs associated with fixturing, various computer-aided fixture design (CAFD) methods have been developed through the years to assist the fixture designer. One approach is to use a case-based reasoning (CBR) method where relevant design experience is retrieved from a design library, and adapted to provide a new fixture design solution. Indexing design cases is a critical issue in any CBR approach, and CBR systems can suffer from an inability to distinguish between cases if indexing is inadequate. This paper presents a CAFD methodology, entitled CAFixD, that adopts a rigorous approach to defining indexing attributes in which axiomatic design functional requirement decomposition is adopted. Thus, a design requirement is decomposed in terms of functional requirements, physical solutions are retrieved and adapted for each individual requirement, and the design is then re-constituted to form a complete fixture design. Furthermore, adaptability is used as the basis by which designs are retrieved in place of the normal attribute similarity approach, which can sometimes return a case that is difficult or impossible to fix. This paper presents the CAFixD framework and operation, and discusses in detail the indexing mechanisms used.

A Blackboard Architecture to Support Case-Based Reasoning in Mechanical Design

1992 ◽  
Author(s):  
Theodore Bardsz ◽  
Ibrahim Zeid
Keyword(s):  
Problem Solving ◽  
Engineering Design ◽  
Mechanical Design ◽  
Maximum Amount ◽  
Design Solution ◽  
Case Based Reasoning ◽  
Design Problems ◽  
Engineering Design Problems ◽  
Design Plan ◽  
Case Based

Abstract One of the most significant issues in applying case-based reasoning (CBR) to mechanical design is to integrate previously unrelated design plans towards the solution of a new design problem. The total design solution (the design plan structure) can be composed of both retrieved and dynamically generated design plans. The retrieved design plans must be mapped to fit the new design context, and the entire design plan structure must be evaluated. An architecture utilizing opportunistic problem solving in a blackboard environment is used to map and evaluate the design plan structure effectively and successfuly. The architecture has several assets when integrated into a CBR environment. First, the maximum amount of information related to the design is generated before any of the mapping problems are addressed. Second, mapping is preformed as just another action toward the evaluation of the design plan. Lastly, the architecture supports the inclusion of memory elements from the knowledge base in the design plan structure. The architecture is implemented using the GBB system. The architecture is part of a newly developed CBR System called DEJAVU. The paper describes DEJAVU and the architecture. An example is also included to illustrate the use of DEJAVU to solve engineering design problems.

An index system for modular fixture design: applied to case-based reasoning

1996 ◽  
Vol 34 (12) ◽  
pp. 3487-3497 ◽  
Author(s):  
S. H. SUN ◽  
J. L. CHEN
Keyword(s):  
Index System ◽  
Case Based Reasoning ◽  
Fixture Design ◽  
Modular Fixture ◽  
Case Based

Signal Conditioning Circuit Design Method Based on Case-Based Reasoning

2010 ◽  
Vol 171-172 ◽  
pp. 719-722
Author(s):  
Xiao Li Xu ◽  
Qiu Shuang Liu
Keyword(s):  
Circuit Design ◽  
Partial Information ◽  
Design Method ◽  
Case Based Reasoning ◽  
Signal Conditioning ◽  
Correlation Degree ◽  
Case Base ◽  
Signal Conditioning Circuit ◽  
Conditioning Circuit ◽  
Case Based

In order to improve the R&D speed of instrument and to reduce the R&D cycle, this paper presents a signal conditioning circuit design method based on case-based reasoning (CBR). The case base stores a number of case circuits, and each circuit’s feature information is described by a set containing at least one information entity; the description methods include: according to the user’s description information on the to-be-generated circuit, generate the first information entity set of to-be-generated circuit; take the first information entity set as the search keywords, search from the case base the case circuit of all or partial information entities of the circuit to be generated; according to the degree of correlation between the preset information entity and the case circuit, obtain the degree of correlation between the first information entity set and the searched case circuit; from the said case circuits searched, select the case circuit whose correlation degree is larger than the correlation threshold value as the target circuit; output the target circuit; through accepting the users’ modification of target circuit, obtain the circuit to be generated. Experimental results show: signal conditioning circuit image generation method, which is based on case reasoning, can effectively improve the efficiency of research and development.

A modular fixture design system based on case-based reasoning

1995 ◽  
Vol 10 (6) ◽  
pp. 389-395 ◽  
Author(s):  
Shu Huang Sun ◽  
Jahau Lewis Chen
Keyword(s):  
Design System ◽  
Case Based Reasoning ◽  
Fixture Design ◽  
Modular Fixture ◽  
Case Based

Case based reasoning method for computer aided welding fixture design

2008 ◽  
Vol 40 (12) ◽  
pp. 1121-1132 ◽  
Author(s):  
Hui Wang ◽  
Yiming (Kevin) Rong
Keyword(s):  
Case Based Reasoning ◽  
Fixture Design ◽  
Computer Aided ◽  
Case Based

Smart Cities System Design Method Based on Case Based Reasoning

2016 ◽  
pp. 43-58 ◽  
Author(s):  
Cezary Orłowski ◽  
Artur Ziółkowski ◽  
Aleksander Orłowski ◽  
Paweł Kapłański ◽  
Tomasz Sitek ◽  
...  
Keyword(s):  
System Design ◽  
Design Method ◽  
Smart Cities ◽  
Case Based Reasoning ◽  
Case Based
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