Case-based reasoning as a tool for materials selection

Amen, Rafael; Vomacka, P.

doi:10.1016/s0261-3069(00)00105-9

Cited by 59 publications

(28 citation statements)

References 2 publications

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“…New materials and processes that do not exist at the time of the questionnaire design will not feature in the returns. Questionnaires do offer resolution but are difficult to create and maintain with up-to-date information (Giachetti 1998, Amen and Vomacka 2001, Brechet et al 2001, Roa and Patel 2010.…”

Section: Materials Selection Strategymentioning

confidence: 99%

“…Typically the database is indexed with keywords. Case based reasoning is a search tool Á it creates nothing nor refines anything, this way it is simple to operate if there is sufficient effort applied to the indexing of the database and the quality of indexed material (Giachetti 1998, Amen and Vomacka 2001, Brechet et al 2001.…”

Section: Materials Selection Strategymentioning

confidence: 99%

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Computer aided material selection for additive manufacturing materials

Smith

Rennie

2010

Virtual and Physical Prototyping

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The ease at which products can be manufactured directly from digital data in one step removing the need for tool design or manufacturing set up leads to a scenario where highly individualised and complex products can be created that avoid cost and time penalties enabling products that are competitive with mass produced equivalents. The reality of this scenario is that, although additive manufacturing (AM) offers a real solution to the problem of producing complex or customised products that are competitive with mass produced equivalents, information regarding available AM material and process capability is fragmented and difficult to generate. This stands as a suitable barrier to adopting AM strategies. This paper presents a knowledge system contained within an existing CAD environment, in this case SolidWorks CAD software, which can be accessed within the existing graphical user interface, enabling the selection of appropriate AM materials and process technology from user generated model data.

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Section: Materials Selection Strategymentioning

confidence: 99%

Section: Materials Selection Strategymentioning

confidence: 99%

Computer aided material selection for additive manufacturing materials

Smith

Rennie

2010

Virtual and Physical Prototyping

View full text Add to dashboard Cite

show abstract

“…(a) Free searching based on quantitative analyses; the most popular one in this category is graphic or ranking method [2]. (b) Based on checklist or questionnaire and experimental method like reports [3][4][5][6] which are based on science, intelligent data, or [7] which is question based structure, resulting in an optimal design solution. (c) Inductive reasoning type or analogous procedure.…”

Section: Introductionmentioning

confidence: 99%

Selection of Conductive Composite Through Weighed Normalized Fuzzy Method in Order to be used in Electrostatics Filters Absorbing Plates

2018

Teh. vjesn.

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Abstract:In this paper, due to some problems deriving from using multiple inputs in fuzzy logic procedure, a simpler high demanding method, which can eliminate some complicated fuzzy membership functions trends is represented. This method is so-called weighed normalized fuzzy method. Despite simple calculations used in the method and user capability to use fuzzy membership functions, ranking utilized in this method is as authentic as other conventional fuzzy logic procedures. Regarding suitable properties of composites which can solve problems happening due to intrinsic characteristic of materials used in electrostatic precipitators, in this investigation wide spectrum of resins and fibres used in manufacturing conductive composites is studied. In addition, some of them are selected through material selection methods with regard to their attributes and high conductivity property, which is suitable for absorbing plates. Selecting best conductive composites among considered conductive composites through this novel method is the final aim of this paper. The results show that vinyl ester, which belongs to Vinyl Ester Resin Woven Carbon and Glass (VRWCG) series, has the most beneficial specification in comparison with other thermoset resins for this intended application. Moreover, vinyl ester resins show better stability in acidic electro filter media.

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“…Some of representative examples include a knowledge based system for materials management that include materials selection [11], a knowledge based system for materials selection [12], integrated information technology approach [13], fuzzy knowledge based decision support system for selection of manufacturing processes and materials [14] and a casebased reasoning method [15].…”

Section: Introductionmentioning

confidence: 99%

A Model Proposal for Wall Material Selection Decisions by Using Analytic Hierarchy Process (AHP)

Uğur

Baykan²

2017

Acta Phys. Pol. A

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Analytical hierarchy process, developed by Saaty, is a multi-criteria decision making method. It creates a hierarchy using the goal, decision criteria and decision alternatives, and sorts the various alternatives according to their relative importance. The aim in AHP is to choose the most suitable and important alternative, by making an arrangement from the most important to the least. In this study, a real life material selection application in a hotel building is described by using AHP method. Wall materials such as brick blocks, pumice concrete block, sand autoclaved aerated concrete blocks are decision alternatives and mechanical properties, physical properties, ease of application and costs of these materials are the decision factors. The analysis was performed based on the opinion of an expert and the most suitable alternative is selected. Also, it is concluded that the order related to the alternatives is reliable for the decision markers. Thus, a decision supporting method for a construction company using AHP applications is developed.

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Case-based reasoning as a tool for materials selection

Cited by 59 publications

References 2 publications

Computer aided material selection for additive manufacturing materials

Computer aided material selection for additive manufacturing materials

Selection of Conductive Composite Through Weighed Normalized Fuzzy Method in Order to be used in Electrostatics Filters Absorbing Plates

A Model Proposal for Wall Material Selection Decisions by Using Analytic Hierarchy Process (AHP)

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