Function–behavior–structure paths and their role in analogy-based design

Qian, Lena; Gero, John S.

doi:10.1017/s0890060400001633

Cited by 221 publications

(135 citation statements)

References 8 publications

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“…A graph grammar representation however encodes much more complex forms of functioncomponent mapping by using grammar rules. Previous work on computational design synthesis for product assemblies using graph grammar representation [15] describes a two layer approach as a simplification of the Function Behavior Structure approach [16]. This uses function structure and a Component Flow Graph to represent electromechanical products such as compressors, blowers, hair dryer etc.…”

Section: Related Workmentioning

confidence: 99%

Rule Based Stochastic Tree Search

Kumar

Campbell

Königseder

et al. 2014

Design Computing and Cognition '12

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Rule Based Stochastic Tree SearchMukund Kumar, for M.S.E.The University of Texas at Austin, 2011 Supervisor: Matthew I Campbell This work presents an enhancement of a search process that is suited for a problem that can be solved using a graph grammar based generative tree. Generative grammar can be used to generate a vast number of design alternatives by using a seed graph of the problem and a set of transformation rules. The problem is to find the best solution among this space by doing the least number of evaluations possible. In a previous paper, an interactive algorithm for searching in a graph grammar representation was presented. The process was demonstrated for a problem of tying a necktie and the work here builds on top of this process to be useful for solving engineering problem. To test the search process, two problems, a photovoltaic array topology optimization problem and an electromechanical product redesign problem, are chosen. It is shown this search process converges in finding the best solution within a few hundred evaluations which is a manageable number compared to the large solution space of millions of candidates. Further optimization and tweaks are done on the process to control exploration vs. exploitation and find the parameters for fastest convergence and the best solution.v

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Section: Related Workmentioning

confidence: 99%

Rule Based Stochastic Tree Search

Kumar

Campbell

Königseder

et al. 2014

Design Computing and Cognition '12

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“…To represent the relations between product functions and physical structures, Kusiak et al used a rule-based system to decompose customer requirements and functions, to map requirements to functions, and to record alternative solutions (Kusiak et al 1991); other researchers identified the necessity of using part behavior to bridge the gap between abstract functions and physical objects (Welch and Dixon 1992;Umeda et al 1996;Qian and Gero 1996). Their researches indicate that product functions represent by part behaviors model deeper design knowledge than geometry, topology, parameters, and constraints.…”

Section: Engineering Intent Representation and Managementmentioning

confidence: 99%

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

Chen

Thimm

2008

J Intell Manuf

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With widely used concurrent and collaborative engineering technologies, the validity and consistency of product information become important. In order to establish the state of the art, this paper reviews emerging concurrent and collaborative engineering approaches and emphasizes on the integration of different application systems across product life cycle management (PLM) stages. It is revealed that checking product information validity is difficult for the current computer-aided systems because engineering intent is at best partially represented in product models. It is also not easy to maintain the consistency among related product models because information associations are not established. The purpose of this review is to identify and analyze research issues with respect to information integration and sharing for future concurrent and collaborative engineering. A new paradigm of research from the angle of feature unification and association for product modeling and manufacturing is subsequently proposed.Keywords Concurrent and collaborative engineering · Feature-based design and manufacturing · Product life cycle modeling · Information validity and consistency

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“…Qian and Gero [23] show how analogy-based design can be implemented using the Function-Behavior-Structure (FBS) knowledge representation. They claim that the FBS path connecting function with behavior, and behavior with structure is the key to analogy in design.…”

Section: Related Workmentioning

confidence: 99%

The importance of retrieval in creative design analogies

Gomes

Seco

Pereira

et al. 2006

Knowledge-Based Systems

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Analogy is an important reasoning process in creative design. It enables the generation of new design artifacts using ideas from semantically distant domains. Candidate selection is a crucial process in the generation of creative analogies. Without a good set of candidate sources, the success of subsequent phases can be compromised. Two main types of selection have been identified: semantics-based retrieval and structure-based retrieval. This paper presents an empirical study on the importance of the analogy retrieval strategy in the domain of software design. We argue that both types of selection are important, but they play different roles in the process.

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Function–behavior–structure paths and their role in analogy-based design

Cited by 221 publications

References 8 publications

Rule Based Stochastic Tree Search

Rule Based Stochastic Tree Search

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

The importance of retrieval in creative design analogies

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