Startseite Naturwissenschaften 8 Constructing a framework for selecting natural fibres as reinforcements composites based on grey relational analysis
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8 Constructing a framework for selecting natural fibres as reinforcements composites based on grey relational analysis

  • Nurul Ain Maidin , Salit Mohd Sapuan , Mastura Mohammad Taha und Zuhri Mohamed Yusoff Mohd
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Biopolymer Composites
Ein Kapitel aus dem Buch Biopolymer Composites

Abstract

Material selection is crucial in product development, especially when material from a composites process application is involved. Numerous multi-criteria decision-making (MCDM) tools each have their own set of advantages and disadvantages. Using grey relational analysis (GRA), this research proposes a systematic framework evaluation approach for generating a sensible rank for material selection of natural fibre as reinforcement composites. The framework was created using the GRA technique, a robust evaluation tool that employs the grade of relation to determine the degree of similarity or difference between two sequences. The MCDM approach can be straightforward for the material selection problem. A GRA technique is used to investigate the performance of the potential material, which includes grey relational sequence creation, reference sequence definition, grey relational coefficient calculation and grey relational grade determination. This framework is applied with a case study to identify the optimum natural fibres composites material for a bike helmet. End results revealed that pineapple is the best candidate for construction of safety gear (cyclist helmet). The best possible evaluation model for material selection of the composite can be referred by design engineer in composite industry for multiple applications. Moreover, the proposed framework is an aid to help engineers and designers to choose most suitable material.

Abstract

Material selection is crucial in product development, especially when material from a composites process application is involved. Numerous multi-criteria decision-making (MCDM) tools each have their own set of advantages and disadvantages. Using grey relational analysis (GRA), this research proposes a systematic framework evaluation approach for generating a sensible rank for material selection of natural fibre as reinforcement composites. The framework was created using the GRA technique, a robust evaluation tool that employs the grade of relation to determine the degree of similarity or difference between two sequences. The MCDM approach can be straightforward for the material selection problem. A GRA technique is used to investigate the performance of the potential material, which includes grey relational sequence creation, reference sequence definition, grey relational coefficient calculation and grey relational grade determination. This framework is applied with a case study to identify the optimum natural fibres composites material for a bike helmet. End results revealed that pineapple is the best candidate for construction of safety gear (cyclist helmet). The best possible evaluation model for material selection of the composite can be referred by design engineer in composite industry for multiple applications. Moreover, the proposed framework is an aid to help engineers and designers to choose most suitable material.

Kapitel in diesem Buch

  1. Frontmatter I
  2. About the editors V
  3. Preface IX
  4. Contents XI
  5. List of contributing authors XIX
  6. 1 Polybutylene succinate (PBS)/natural fiber green composites: melt blending processes and tensile properties 1
  7. 2 Material selection and conceptual design in natural fibre composites 15
  8. 3 Amine compounds post-treatment on formaldehyde emission and properties of urea formaldehyde bonded particleboard 27
  9. 4 Manufacturing defects of woven natural fibre thermoset composites 39
  10. 5 Manufacturing defects and interfacial adhesion of Arenga Pinnata and kenaf fibre reinforced fibreglass/kevlar hybrid composite in boat construction application 57
  11. 6 Wettability of keruing (Dipterocarpus spp.) wood after weathering under tropical climate 67
  12. 7 Mechanical performance and failure characteristics of cross laminated timber (CLT) manufactured from tropical hardwoods species 77
  13. 8 Constructing a framework for selecting natural fibres as reinforcements composites based on grey relational analysis 87
  14. 9 Thermal properties of wood flour reinforced polyamide 6 biocomposites by twin screw extrusion 99
  15. 10 Characterization of lignocellulosic S. persica fibre and its composites: a review 111
  16. 11 An overview of mechanical and corrosion properties of aluminium matrix composites reinforced with plant based natural fibres 131
  17. 12 Physical and mechanical properties of Acacia mangium plywood after sanding treatment 161
  18. 13 Effect of sugarcane bagasse on thermal and mechanical properties of thermoplastic cassava starch/beeswax composites 171
  19. 14 The properties of 3D printed poly (lactic acid) (PLA)/poly (butylene-adipate-terephthalate) (PBAT) blend and oil palm empty fruit bunch (EFB) reinforced PLA/PBAT composites used in fused deposition modelling (FDM) 3D printing 187
  20. 15 Properties of plybamboo manufactured from two Malaysian bamboo species— 205
  21. 16 Fundamental study of commercial polylactic acid and coconut fiber/polylactic acid filaments for 3D printing 215
  22. 17 Flexural analysis of hemp, kenaf and glass fibre-reinforced polyester resin 231
  23. 18 Effect of stacking sequence on tensile properties of glass, hemp and kenaf hybrid composites 247
  24. 19 Investigation on impact properties of different type of fibre form: hybrid hemp/ glass and kenaf/glass composites 259
  25. Index 277
Heruntergeladen am 22.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783110769227-008/html
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