Introducing a novel method for materials selection in mechanical design using Z-transformation in statistics for normalization of material properties

Fayazbakhsh, Kazem; Abedian, Ali; Manshadi, Behzad; Khabbaz, R. Sarfaraz

doi:10.1016/j.matdes.2009.04.004

Cited by 80 publications

(45 citation statements)

References 18 publications

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“…21 Before performing hierarchical cluster analysis, a Z transformation was performed in order to bring the coefficients to zero-one range. 22 This prevented the differences between variables measurement units from affecting the study results. A Euclidean distance measure and Wards method were used to determine the natural number of relevant clusters.…”

Section: Discussionmentioning

confidence: 99%

Spatial Distribution of Total Number of Medical Devices in Turkey: A Classification Analysis

Çınaroğlu¹,

Başer²

2017

IJMEDPH

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Section: Discussionmentioning

confidence: 99%

Spatial Distribution of Total Number of Medical Devices in Turkey: A Classification Analysis

Çınaroğlu¹,

Başer²

2017

IJMEDPH

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“…Three composites placed at the end of the list in Tab. 3 (in rows 21,22,23) are ranked as the first, second and third alternatives respectively. Because of getting an excellent score at most attributes they all get the same score in two procedures.…”

Section: Weighed Normalized Fuzzy Methods Materials Selectionmentioning

confidence: 99%

“…As a result, digital logic (DL) method has been presented to determine α. This method was further modified by Menshadi et al [21] because of some problems and deficiencies, existing in a normalizing process, this method is named MDL (modified digital logic), involving the nonlinear normalizing function with some changes in conventional digital logic method, yet it has some deficiencies in normalizing function, which is finally corrected by Fayazbakhsh et al [22,23] using normalizing function Z in a statistical way. This method is called Ztransformation method.…”

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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“…Rao and Patel (2010) derived a comparative ranking of the considered alternatives as 6-4-3-5-1-2 by applying a subjective and objective integrated MCDM method. On the other hand, Torrez (Rao & Patel, 2010) and Fayazbakhsh et al (2009) solved the same high speed naval craft material selection problem using a modified digital logic technique and Z-transformation statistics method, and obtained the rankings of the alternatives as 6-4-3-5-1-2 and 5-3-4-6-1-2 respectively. Applying utility concept and desirability function methods, Karande et al (2013) derived the rank orderings of the alternative materials as 6-4-3-5-1-2 and 6-5-2-3-1-4 respectively.…”

Section: Example 2: High Speed Naval Craft Materialsmentioning

confidence: 99%

Selection of materials using multi-criteria decision-making methods with minimum data

Chakraborty¹,

Chatterjee²

2013

10.5267/j.dsl

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Selection of material for a specific engineering component, which plays a significant role in its design and proper functioning, is often treated as a multi-criteria decision-making (MCDM) problem where the most suitable material is to be chosen based on a given set of conflicting criteria. For solving these MCDM problems, the designers do not generally know what should be the optimal number of criteria required for arriving at the best decisive action. Those criteria should be independent to each other and their number should usually limit to seven plus or minus two. In this paper, five material selection problems are solved using three common MCDM techniques to demonstrate the effect of number of criteria on the final rankings of the material alternatives. It is interesting to observe that the choices of the best suited materials solely depend on the criterion having the maximum priority value. It is also found that among the three MCDM methods, the ranking performance of VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) method is the best.

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Introducing a novel method for materials selection in mechanical design using Z-transformation in statistics for normalization of material properties

Cited by 80 publications

References 18 publications

Spatial Distribution of Total Number of Medical Devices in Turkey: A Classification Analysis

Spatial Distribution of Total Number of Medical Devices in Turkey: A Classification Analysis

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

Selection of materials using multi-criteria decision-making methods with minimum data

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