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Materials Selection of Thermoplastic Matrices of Natural Fibre Composites for Cyclist Helmet Using an Integration of DMAIC Approach in Six Sigma Method Together with Grey Relational Analysis Approach
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作者 N.A.Maidin S.M.Sapuan +1 位作者 m.t.mastura M.Y.M.Zuhri 《Journal of Renewable Materials》 SCIE EI 2023年第5期2381-2397,共17页
Natural fibre reinforced polymer composite(NFRPC)materials are gaining popularity in the modern world due to their eco-friendliness,lightweight nature,life-cycle superiority,biodegradability,low cost,and noble mechani... Natural fibre reinforced polymer composite(NFRPC)materials are gaining popularity in the modern world due to their eco-friendliness,lightweight nature,life-cycle superiority,biodegradability,low cost,and noble mechanical properties.Due to the wide variety of materials available that have comparable attributes and satisfy the requirements of the product design specification,material selection has become a crucial component of design for engineers.This paper discusses the study’s findings in choosing the suitable thermoplastic matrices of Natural Fibre Composites for Cyclist Helmet utilising the DMAIC,and GRA approaches.The results are based on integrating two decision methods implemented utilising two distinct decision-making approaches:qualitative and quantitative.This study suggested thermoplastic polyethylene as a particularly ideal matrix in composite cyclist helmets during the selection process for the best thermoplastic matrices material using the 6σtechnique,with the decision based on the highest performance,the lightest weight,and the most environmentally friendly criteria.The DMAIC and GRA approach significantly influenced the material selection process by offering different tools for each phase.In the future study,selection technique may have been more exhaustive if more information from other factors had been added. 展开更多
关键词 Material selection DMAIC Six Sigma grey relational analysis thermoplastic matrices natural fibre polymerreinforced composites
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Conceptual Design and Selection of Natural Fibre Reinforced Biopolymer Composite (NFBC) Takeout Food Container
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作者 H.N.Salwa S.M.Sapuan +1 位作者 m.t.mastura M.Y.M.Zuhri 《Journal of Renewable Materials》 SCIE EI 2021年第4期803-827,共25页
Biopolymer composite has gained huge attention for its beneficial properties such as biodegradable and less impact to the environment.This consequently would diminish the dependency on the petroleum-based polymer.Abun... Biopolymer composite has gained huge attention for its beneficial properties such as biodegradable and less impact to the environment.This consequently would diminish the dependency on the petroleum-based polymer.Abundance of studies have been done on the development and characterization of biopolymer composite materials for food packaging application,but work on the conceptual design of biopolymer composite packaging product is hardly found.Using the Kano Model,Quality Function Deployment for Environment(QFDE),morphological map,and Analytic Hierarchy Method(AHP)framework combination,this paper presents the conceptual design of a natural fibre reinforced biopolymer composites take-out food container.To understand customer satisfaction with the current use of takeout food containers,the Kano model was applied,and the findings were integrated into QFDE.The highest weight of voices of customer and environment(VOCE)as the solution parameters for the design characteristics were later refined using the aid of morphological chart(MC)to systematically develop conceptual designs.Lastly,AHP was utilized to pick the final concept design.The concept design with the highest score(8.3%)was chosen as the final conceptual design. 展开更多
关键词 Conceptual design takeout food container biodegradable packaging biopolymer composite Kano model QFDE AHP
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Concurrent Material Selection of Natural Fibre Filament for Fused Deposition Modeling Using Integration of Analytic Hierarchy Process/Analytic Network Process
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作者 m.t.mastura R.Nadlene +3 位作者 R.Jumaidin S.I.Abdul Kudus M.R.Mansor H.M.S.Firdaus 《Journal of Renewable Materials》 SCIE EI 2022年第5期1221-1238,共18页
The employment of natural fibres in fused deposition modeling has raised much attention from researchers in finding a suitable formulation for the natural fibre composite filaments.Moreover,selection of suitable natur... The employment of natural fibres in fused deposition modeling has raised much attention from researchers in finding a suitable formulation for the natural fibre composite filaments.Moreover,selection of suitable natural fibres for fused deposition modeling should be performed before the development of the composites.It could not be performed without identifying selection criteria that comprehend both materials and fused deposition modeling process requirements.Therefore,in this study,integration of the Analytic Hierarchy Process(AHP)/Analytic Network Process(ANP)has been introduced in selecting the natural fibres based in different clusters of selection concurrently.The selection process has been performed based on the interdependency among the selection criteria.Pairwise comparison matrices are constructed based on AHP’s hierarchical model and super matrices are constructed based on the ANP’s network model.As a result,flax fibre has ranked at the top of the selection by scored 19.5%from the overall evaluation.Flax fibre has excellent material properties and been found in various natural fibre composite applications.Further investigation is needed to study the compatibility of this fibre to be reinforced with a thermoplastic polymer matrix to develop a resultant natural fibre composite filament for fused deposition modeling. 展开更多
关键词 Material selection natural fibre composites fused deposition modeling analytic hierarchy process analytic network process
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Material Selection of a Natural Fibre Reinforced Polymer Composites using an Analytical Approach
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作者 M.Noryani S.M.Sapuan +2 位作者 m.t.mastura M.Y.M.Zuhri E.S.Zainudin 《Journal of Renewable Materials》 SCIE 2019年第11期1165-1179,共15页
Material selection has become a critical part of design for engineers,due to availability of diverse choice of materials that have similar properties and meet the product design specification.Implementation of statist... Material selection has become a critical part of design for engineers,due to availability of diverse choice of materials that have similar properties and meet the product design specification.Implementation of statistical analysis alone makes it difficult to identify the ideal composition of the final composite.An integrated approach between statistical model and micromechanical model is desired.In this paper,resultant natural fibre and polymer matrix from previous study is used to estimate the mechanical properties such as density,Young’s modulus and tensile strength.Four levels of fibre loading are used to compare the optimum natural fibre reinforced polymer composite(NFRPC).The result from this analytical approach revealed that kenaf/polystyrene(PS)with 40%fibre loading is the ideal composite in automotive component application.It was found that the ideal composite score is 1.156 g/cm^(3),24.2 GPa and 413.4 MPa for density,Young’s modulus and tensile strength,respectively.A suggestion to increase the properties on Young’s modulus are also presented.This work proves that the statistical model is well incorporated with the analytical approach to choose the correct composite to use in automotive application. 展开更多
关键词 Material selection natural fibre reinforced polymer composites rule of mixtures
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