Case based reasoning method for computer aided welding fixture design

Wang, Hui; Ye, Rong

doi:10.1016/j.cad.2008.11.001

Cited by 63 publications

(33 citation statements)

References 16 publications

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“…The similarity in that method is measured by using the machining features on those parts. In addition, by using this method for layout planning, a workpiece layout plan is gained by retrieving the plan utilized for similar workpieces from the case library consisting of knowledge from prior workpieces and their layout plans [6,56]. In a study by Marefat and Britanik [57], they presented an object-oriented model for 3D prismatic parts in case based process planning.…”

Section: Cbr Based Systems and Applications Cbrmentioning

confidence: 99%

“…After this, the final solution will be produced by modifying the most similar problem by comparing the cases [2]. The stages of CBR in fixture design are addressed as follows [6].…”

Section: Steps Of Cbr In Fixture Design Systemsmentioning

confidence: 99%

“…Hence, indexing the challenge involves defining a comprehensive approach to index the related design information based on the fixture design cases [6].…”

Section: Fixture Indexing and Case Library Modulementioning

confidence: 99%

“…Boyle [10,62] introduced a methodology to divide the information of Advances in Mechanical Engineering 9 fixture design into two case libraries: a fixture design solution base that retains detailed solutions for fixture design and a fixture unit depository that has the individual component (units) and maintains an internal relation with the design base. Furthermore, Wang and Rong [6] reorganized fixture design information into the 3-level case library, such as the workpiece information, fixturing plan, and fixture unit, which is used so that detailed data/information of a design solution is organized as a relationship model of abstract objects with a hierarchical structure in one case base. These objects are stored independently in the case base while having close internal mapping relations among one another.…”

Section: Fixture Indexing and Case Library Modulementioning

confidence: 99%

“…In addition, several artificial intelligence methods have also been introduced which enhances the extent of automation in the CAFD techniques. Several techniques have been utilized in the design of fixtures, namely, CBR, genetic algorithm (GA), rule based expert system, multiagent approach, geometric analysis, machine learning, and others [6]. However, fixture design is still an issue of concern in the present manufacturing field [2].…”

Section: Introductionmentioning

confidence: 99%

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Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Hashemi

Shaharoun

Izman

et al. 2014

Advances in Mechanical Engineering

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Fixture design is an important issue in the process of manufacturing. As a critical design activity process, automation in fixture design plays an integral role in linking computer aided designs and computer aided manufacturing. This paper carries out a literature review of computer aided fixture design (CAFD) developments using intelligent methods that have been commonly utilized in automation in the last two decades. The first part of this review considers the steps of fixture design along with the significant researches and requirements of fixtures over time. After that, the paper presents important and relevant research carried out in the field of CAFD using intelligent approaches and the working principles surrounding this issue. The following section concentrates on the details of case based reasoning (CBR) approach, the most successful approach in CAFD. The examination of this approach is carried out based on applications, stages of CBR based systems fixture design, working principles, and pertinent proposed approaches. Lastly, the present drawbacks of the current methods and shortfalls in research are identified for future studies.

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Section: Cbr Based Systems and Applications Cbrmentioning

confidence: 99%

“…After this, the final solution will be produced by modifying the most similar problem by comparing the cases [2]. The stages of CBR in fixture design are addressed as follows [6].…”

Section: Steps Of Cbr In Fixture Design Systemsmentioning

confidence: 99%

“…Hence, indexing the challenge involves defining a comprehensive approach to index the related design information based on the fixture design cases [6].…”

Section: Fixture Indexing and Case Library Modulementioning

confidence: 99%

Section: Fixture Indexing and Case Library Modulementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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