The Experts below are selected from a list of 258 Experts worldwide ranked by ideXlab platform
Arian Hafezalkotob - One of the best experts on this subject based on the ideXlab platform.
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risk based Material Selection Process supported on information theory
Applied Soft Computing, 2017Co-Authors: Arian HafezalkotobAbstract:Display Omitted We introduce a risk-based Material Selection algorithm.We extend the RFAD approach using the integrated Shannon entropy significance coefficients.We discuss an example regarding industrial gas turbine blades using the proposed approach.Risk factors show the effect of temperature variation on Materials properties. Gas turbine blades are produced using high-temperature high-strength Materials because they are often exposed to severe environments. Material Selection for such cases should be performed with sensitivity and using a systematic method. Moreover, various risks may exist about the values of Materials properties. For example, the difference between the designed and unexpected conditions may pose some risks to Materials properties. Although considering risks for gas turbine blade Material Selection problem or similar high-tech practical cases is important, a research gap exists in such fields. This paper presents a risk-based Material Selection algorithm using the principles of Suh and Shannon entropies supported on information theory. In this regard, we develop the risk-based fuzzy axiomatic design approach with the integrated Shannon significance coefficients of attributes. A real-world example about Material Selection of industrial gas turbine blade is examined using four techniques including the fuzzy axiomatic design, weighted fuzzy axiomatic design, risk-based fuzzy axiomatic design, and weighted risk-based fuzzy axiomatic design approaches. In the example, risk factors are determined to consider the effect of temperature variation on Materials properties. Finally, the resultant rankings are compared by calculating Spearman rank correlation coefficients. The comparisons show that considering risk factors in the problem affects the resultant ranking. We validate the results of the proposed methods by the unweighted and weighted fuzzy MULTIMOORA approaches.
V C K Leung - One of the best experts on this subject based on the ideXlab platform.
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warpage reduction of package on package pop module by Material Selection Process optimization
International Conference on Electronic Packaging Technology, 2008Co-Authors: V C K LeungAbstract:The package technology has matured significantly over the past several years, shifting from conventional components and direct board level assembly to chip or package level system integration. Two major commonly used approaches are System-on-Chip (SoC) and System-in-Package (SiP). Package-on-Package (PoP) that integrates logic die in the bottom package and memory die in the top package into a single 3D package is one of the promising SiP solutions.
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Warpage reduction of package-on-package (PoP) module by Material Selection & Process optimization
2008 International Conference on Electronic Packaging Technology & High Density Packaging, 2008Co-Authors: V C K LeungAbstract:The package technology has matured significantly over the past several years, shifting from conventional components and direct board level assembly to chip or package level system integration. Two major commonly used approaches are System-on-Chip (SoC) and System-in-Package (SiP). Package-on-Package (PoP) that integrates logic die in the bottom package and memory die in the top package into a single 3D package is one of the promising SiP solutions.
S M Sapuan - One of the best experts on this subject based on the ideXlab platform.
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A Statistical Framework for Selecting Natural Fibre Reinforced Polymer Composites Based on Regression Model
Fibers and Polymers, 2018Co-Authors: M. Noryani, S M Sapuan, M. T. Mastura, M. Y. M. Zuhri, E. S. ZainudinAbstract:Material Selection is an important stage in the development of products from composites Process of automotive component application. Numerious different Multi-Criteria Decision-Making tools have their own strenghts and limitations. This paper presents a framework for Material Selection of natural fibre reinforced polymer composites by using statistical approach. The framework is developed using statistical methods which are simple, multiple and stepwise regression for the Material Selection Process. The performance of potential Material is investigated by a statistical analysis such as coefficient of correlation, coefficient of determination and analysis of variance. A case study to select the best composite of parking brake lever is applied to this framework. End results revealed that kenaf reinforced polypropylene is the best candidate for construction of automotive parking brake lever component. The best possible of statistical model for Material Selection of the composite can be referred by design engineer in composite industry for a multiple application. Moreover, the proposed framework is an aid to help engineers and designers to choose most suitable Material.
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Thermoplastic Matrix Material Selection Using Multi Criteria Decision Making Method for Hybrid Polymer Composites
Applied Mechanics and Materials, 2014Co-Authors: Muhd Ridzuan Mansor, S M Sapuan, Edi Syam Zainudin, A.a. Nuraini, Arep Ariff HambaliAbstract:Multi criteria decision making (MDCM) methods are amongst the approaches available in aiding composite designers to make the final decision especially during the Material Selection Process where multiple solutions are present and various requirements are required to be satisfied simultaneously. Thus, in this paper, Material Selection Process of thermoplastic matrix using MDCM methods for hybrid natural fiber/glass fiber polymer composites is presented. The aim is to identify the most suitable type of thermoplastic matrix to be used in the hybrid polymer composites formulation. The Weighted Sum Method (WSM) is applied in the Selection Process of seven candidate thermoplastic matrix Materials based on the product design specifications. The overall analysis highlights that low density polyethylene (LDPE) is the preferred matrix for the intended application based on the highest scores obtained compared to other candidate Materials. A signal-to-noise (S/N) ratio analysis was further performed to validate the initial Selection results where LDPE once again outperformed other candidate Materials with highest S/N ratio score in the non-compensatory approach.
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Materials Selection for Lightweight Automotive Composite Hand Operated Parking Brake Lever Design with a Weighted Property Index Method
2014Co-Authors: Muhd Ridzuan Mansor, S M SapuanAbstract:In a typical modern vehicle where the components may rise up to 15,000 parts, the task to select the appropriate Material to best suit a required function or application is not an easy task. It is more complicated when the designers is faced by the challenged of having overwhelming information on various Materials available at the market to choose from to match the required component function. Thus, the need for a systematic and quantitative Material Selection Process is very important to aid the task in choosing the optimum Material which gives the maximum benefits to the component such as in function, cost and reliability. One of the solutions is through a systematic Material Selection Process called the weighted property index method. In this exercise, the weighted property index method is applied in the design of an automotive component. The aim is to identify a new Material for the construction of a lightweight automotive hand operated parking brake lever based on the performance requirements set for the component.
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a framework for weighting of criteria in ranking stage of Material Selection Process
The International Journal of Advanced Manufacturing Technology, 2012Co-Authors: Ali Jahan, Faizal Mustapha, S M Sapuan, Yusof Ismail, Marjan BahraminasabAbstract:Material Selection is an onerous Process of design activities which needs to be carefully carried out in order to increase the probability of success. A lot of multi-criteria decision-making methods have been proposed in Material Selection, many of which require quantitative weights for the attributes. Since weights play a very significant role in the ranking results of the Materials, this paper presents a framework for determining importance degree of criteria to overcome the shortcomings of this subject in Material Selection. Furthermore, the suggested framework covers the situation of interdependent relationship between the criteria which has not been surveyed in Material Selection yet. An example was considered to illustrate how this framework is conducted. On the basis of the numerical results, it can be concluded that the proposed method can soundly deal with the Material Selection problems.
B. A. Cheeseman - One of the best experts on this subject based on the ideXlab platform.
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Spall-Fracture Physics and Spallation-Resistance-Based Material Selection
Journal of Materials Engineering and Performance, 2012Co-Authors: M. Grujicic, B. Pandurangan, B. A. CheesemanAbstract:Spallation is a fracture mode commonly observed in ballistically/blast-wave-loaded structures. The interaction between decompression waves generated within the target structure produces tensile stresses which, if of a sufficient magnitude, may cause Material damage and ultimate fracture (spallation). In this study, the phenomenon of spall-fracture is analyzed within a one-dimensional Lagrangian framework. Two distinct analyses are carried out. Within the first analysis, decompression waves are treated as decompression shocks, which simplified the analysis and enabled the formation of spallation-strength-based Material index. In the second analysis, decompression waves are treated as smooth (centered simple) waves. This increased the fidelity of the computational analysis, but the Material-Selection procedure could be done only numerically and an explicit formulation of the spallation-strength-based Material-Selection index could not be carried out. Overall, the two analyses yielded similar results for the spallation-strength-based Material-Selection criterion suggesting that the simpler (decompression shock based) one is still adequate for use in the Material-Selection Process.
Ali Jahan - One of the best experts on this subject based on the ideXlab platform.
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Weighting of dependent and target-based criteria for optimal decision-making in Materials Selection Process: Biomedical applications
Materials & Design, 2013Co-Authors: Ali Jahan, Kevin L. EdwardsAbstract:Abstract The Selection of the most appropriate Material, or combination of Materials, is a demanding intellectual Process that takes a lot of time and experience. There are a large number of established and newly developed Materials, and their associated Materials Processes, necessitating the simultaneous consideration of many conflicting criteria. This has highlighted the importance of the developing field of multi-criteria decision-making (MCDM) to the Material Selection Process which is especially useful for high technology market where product differentiation and competitive advantage are often achievable with just small gains in Material performance. It is clear that decision-making techniques that address target criteria as well as cost and benefit criteria can help engineering designers make better informed choices of Materials. Despite the progress has been made in the ranking of Materials for target-based criteria, there is no formalized technique for calculating the weighting dependency when target criteria must be taken into account in Material Selection problems that usually deals with databases. Therefore, to overcome this shortcoming, the strategy of using dependent weightings is extended in this research. Also, an alternative method is proposed to incorporate the correlation, objective, and subjective weightings effectively when there is uncertainty in the importance of three types of weights. This issue is very important for inexperienced designers. The updated procedure is validated through biomedical applications. The first example demonstrates the importance of dependency weighting in amalgam tooth filling Material Selection and the second one is a hip joint prosthesis Material Selection problem, which includes target criteria. Furthermore, a model of continuous improvement in product development is outlined, and it is highlighted that the Material Selection/development is a permanent and endless task for sustainable and profitable growth.
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a framework for weighting of criteria in ranking stage of Material Selection Process
The International Journal of Advanced Manufacturing Technology, 2012Co-Authors: Ali Jahan, Faizal Mustapha, S M Sapuan, Yusof Ismail, Marjan BahraminasabAbstract:Material Selection is an onerous Process of design activities which needs to be carefully carried out in order to increase the probability of success. A lot of multi-criteria decision-making methods have been proposed in Material Selection, many of which require quantitative weights for the attributes. Since weights play a very significant role in the ranking results of the Materials, this paper presents a framework for determining importance degree of criteria to overcome the shortcomings of this subject in Material Selection. Furthermore, the suggested framework covers the situation of interdependent relationship between the criteria which has not been surveyed in Material Selection yet. An example was considered to illustrate how this framework is conducted. On the basis of the numerical results, it can be concluded that the proposed method can soundly deal with the Material Selection problems.