Skip to main content

Conceptual Design of Biocomposites for Automotive Components

  • Chapter
  • First Online:
Green Biocomposites

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Recently, biocomposites became highly valuable due to their environmental advantages. The growing environmental awareness of people and the new stringent green policies enacted by governments has intensify the search and development of more environmentally friendly materials to preserve our immediate environment and public health. However, the selection of bio-based materials is quite difficult to perform compared to conventional materials like synthetic fibers and plastics. Hence, the use of computer aided tools for choosing bio-based materials help to minimize material selection errors and accommodates the increasing number of new materials as well as prevents financial and time loss. This review presented a brief insight of biocomposite materials selection using computer aided systems such as expert systems. Multi-criteria decision making models or tools also plays significant role in the evaluation and selection of materials. Numerous factors of various materials such as mechanical properties, material cost, environmental performance, just to name a few, are considered in the material selection process. These factors mostly contradict or even conflict with each other, which further complicates the task. Hence, to alleviate material selection problems and ease out decision making procedures, multi-criteria decision making (MCDM) approach is employed. MCDM is classified into multi attribute decision making (MADM) and multi objective decision making (MODM). MADM is the most common approach utilized for composite material selection purposes. This chapter also discusses about life cycle assessment (LCA) of products which is one of the widely used techniques in analyzing and quantifying the effect of biocomposite products on the surrounding environment during their total life time. Finally, a Case study on material selection of Bio-resin for biocomposites using modified digital logic and weighted property method was presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Ali A, BA S (2013) Java based expert system for selection of natural fibre composite materials. J Food Agric Environ 11:1871–1877

    Google Scholar 

  • Al-Oqla FM, Sapuan SM, Ishak MR, Nuraini AA (2014a) A novel evaluation tool for enhancing the selection of natural fibers for polymeric composites based on fiber moisture content criterion. BioResources 10(1):299–312

    Google Scholar 

  • Al-Oqla FM, Sapuan MS, Ishak MR, Aziz NA (2014b) Combined multi-criteria evaluation stage technique as an agro waste evaluation indicator for polymeric composites: Date palm fibers as a case study. BioResources 9(3):4608–4621

    Google Scholar 

  • Al-oqla FM, Sapuan SM, Ishak MR, Nuraini AA (2015a) Decision making model for optimal reinforcement condition of natural fiber composites. Fibers Polym 16(1):153–163

    Google Scholar 

  • Al-Oqla FM, Salit MS, Ishak MR, Aziz NA (2015b) Selecting natural fibers for bio-based materials with conflicting criteria. American J Appl Sci 12(1):64

    Google Scholar 

  • Alves C, Silva AJ, Reis LG, Freitas M, Rodrigues LB, Alves DE (2010) Ecodesign of automotive components making use of natural jute fiber composites. J Cleaner Prod 18(4):313–327

    Google Scholar 

  • Anojkumar L, Ilangkumaran M, Sasirekha V (2014) Comparative analysis of MCDM methods for pipe material selection in sugar industry. Expert Syst. Appl. 41(6):2964–2980

    Article  Google Scholar 

  • Ashby MF (2001) ‘Materials Selection Charts. ASM Metals Handbook 20:266–280

    Google Scholar 

  • Berthet MA, Gontard N, Angellier-Coussy H (2015) Impact of fibre moisture content on the structure/mechanical properties relationships of PHBV/wheat straw fibres biocomposites. Compos. Sci. Technol. 117:386–391

    Article  Google Scholar 

  • Bo-Suk Yang, Dong-Soo Lim, Tan Andy Chit Chiow (2005) VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table. Expert Syst. Appl. 28(4):735–742

    Article  Google Scholar 

  • Cebon D, Ashby MF (1992) Computer aided materials selection for mechanical design. Met Mater 8(1):25–30

    Google Scholar 

  • Chen TY (2012) Comparative analysis of SAW and TOPSIS based on interval-valued fuzzy sets: discussions on score functions and weight constraints. Expert Syst. Appl. 39(2):1848–1861

    Article  Google Scholar 

  • Chunming L, Dawei H (2007) A fault diagnosis expert system base on artificial neural network for mixed-signal circuits. In: The 8th international conference on electronic measurement and instruments, 16 Aug–18 July, Xi’an, pp 611–614

    Google Scholar 

  • Corbière-Nicollier T, Laban BG, Lundquist L, Leterrier Y, MÃ¥nson JA, Jolliet O (2001) Life cycle assessment of biofibres replacing glass fibres as reinforcement in plastics. Resour Conserv Recycl 33(4):267–287

    Google Scholar 

  • Dehghan-Manshadi B, Mahmudi H, Abedian A, Mahmudi R (2007) A novel method for materials selection in mechanical design: combination of non-linear normalization and a modified digital logic method. Mater. Des. 28(1):8–15

    Article  Google Scholar 

  • Deng YM, Edwards KL (2007) The role of materials identification and selection in engineering design. Mater. Des. 28(1):131–139

    Article  Google Scholar 

  • Duigou A, Deux J-M, Davies P, Baley C (2011) PLLA/Flax Mat/Balsa Bio-Sandwich—Environmental impact and simplified Life Cycle Analysis. Appl. Compos. Mater. 19(3–4):363–378

    Google Scholar 

  • Dungani R, Abdul Khalil HPS, Sumardi I, Suhaya Y, Sulistyawati E, Islam MN, Aprilia NAS (2014) Non-wood renewable materials: properties improvement and its application. In: Hakeem KR, Jawaid M, Rashid U (eds) Biomass and bioenergy. Springer International Publishing, New York, pp 1–29

    Google Scholar 

  • Espinach FX, Delgado-Aguilar M, Puig J, Julian F, Boufi S, Mutjé P (2015) Flexural properties of fully biodegradable alpha-grass fibers reinforced starch-based thermoplastics. Compos. B 81:98–106

    Article  Google Scholar 

  • Fairuz AM, Sapuan SM, Zainudin ES (2012) A prototype expert system for material selection of polymeric-based composites for small fishing boat components. J. Food Agric. Environ., accepted for publication

    Google Scholar 

  • Farag MM (2002) Quantitative methods of materials selection. Handbook of materials selection, pp 1–24

    Google Scholar 

  • Farag MM (2006) Quantitative methods of materials selection. In: Kurtz M (ed) Handbook of material selection, 3rd edn. Wiley Press, New York, pp 466–488

    Google Scholar 

  • Faruk O, Bledzki AK, Fink H-P, Sain M (2014) Progress report on natural fiber reinforced composites. Macromol. Mater. Eng. 299(1):9–26

    Article  Google Scholar 

  • Finkbeiner M, Hoffmann R (2006) Application of life cycle assessment for the environmental certificate of the Mercedes-Benz S-Class (7 pp). Int J Life Cycle Assess 11(4):240–246

    Google Scholar 

  • Finnveden G, Hauschild M Z, Ekvall T, Guinèe J, Heijungs R, Hellweg S, … Suh S (2009) Recent developments in life cycle assessment. J Environ Manage 91(1):1–21

    Google Scholar 

  • Goedkoop M, Heijungs R, Huijbregts M, De Schryver A, Struijs J, van Zelm R (2013) ReCiPe 2008 first edition (version 1. 08). Characterization factor spreadsheet, pré consultants

    Google Scholar 

  • González-García S, Hospido A, Feijoo G, Moreira MT (2010) Life cycle assessment of raw materials for non-wood pulp mills: hemp and flax. Resour Conserv Recycl 54(11):923–930

    Google Scholar 

  • Guo B, Qi F, Fu G (2008) A knowledge-based diagnostic system for pneumatic system. In: International symposium on knowledge acquisition and modeling, pp 127–130

    Google Scholar 

  • Gurunathan T, Mohanty S, Nayak SK (2015) A review of the recent developments in biocomposites based on natural fibres and their application perspectives. Compos. A Appl. Sci. Manuf. 77:1–25

    Article  Google Scholar 

  • Gutteridge PA, Waterman NA (1986) Computer-aided materials selection. Encyclopedia of materials science and engineering. Pergaman Press, Oxford

    Google Scholar 

  • Hongwei Z (2005) The design and realization of expert system based on function detection. In: The fifth international conference on power transmission and distribution technology, pp 459–463

    Google Scholar 

  • Holbery J, Houston D (2006) Natural-fiber-reinforced polymer composites in automotive applications. J. Miner. Metals Mater. Soc. 58(11):80–86

    Article  Google Scholar 

  • Ipek M, Selvi IH, Findik F, Torkul O, CedimoÄŸlu IH (2013) An expert system based material selection approach to manufacturing. Mater. Des. 47:331–340

    Article  Google Scholar 

  • Jahan A, Edwards KL (2013) Weighting of dependent and target-based criteria for optimal decision-making in materials selection process: biomedical applications. Mater. Des. 49:1000–1008

    Article  Google Scholar 

  • Jahan A, Ismail MY, Sapuan SM, Mustapha F (2010) Material screening and choosing methods–a review. Mater. Des. 31(2):696–705

    Article  Google Scholar 

  • Jahan A, Mustapha F, Ismail MY, Sapuan SM, Bahraminasab M (2011) A comprehensive VIKOR method for material selection. Mater. Des. 32(3):1215–1221

    Article  Google Scholar 

  • Jalham S (2006) Decision-making integrated information technology (IIT) approach for material selection. Int J comput Appl Technol 25(1):65–71

    Google Scholar 

  • Jee DH, Kang KJ (2000) A method for optimal material selection aided with decision making theory. Mater. Des. 21:199–206

    Article  Google Scholar 

  • Karande P, Gauri SK, Chakraborty S (2013) Applications of utility concept and desirability function for materials selection. Mater. Des. 45:349–358

    Article  Google Scholar 

  • Khorshidi R, Hassani A (2013) Comparative analysis between TOPSIS and PSI methods of materials selection to achieve a desirable combination of strength and workability in Al/SiC composite. Mater Des 52:999–1010

    Article  Google Scholar 

  • Koronis G, Silva A, Fontul M (2013) Green composites: a review of adequate materials for automotive applications. Compos B 44(1):120–127

    Article  Google Scholar 

  • Liao SH (2005) Expert system methodologies and applications—a decade review from 1995 to 2004. Expert Syst Appl 28(1):93–103

    Article  Google Scholar 

  • Liu HC, Liu L, Wu J (2013) Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights. Mater Des 52:158–167

    Article  Google Scholar 

  • Liu HC, You JX, Zhen L, Fan XJ (2014) A novel hybrid multiple criteria decision making model for material selection with target-based criteria. Mater Des 60:380–390

    Article  Google Scholar 

  • Luz SM, Caldeira-Pires A, Ferrão PM (2010) Environmental benefits of substituting talc by sugarcane bagasse fibers as reinforcement in polypropylene composites: ecodesign and LCA as strategy for automotive components. Resour Conserv Recycl 54(12):1135–1144

    Google Scholar 

  • Maniya K, Bhatt MG (2010) A selection of material using a novel type decision-making method: preference selection index method. Mater Des 31(4):1785–1789

    Article  Google Scholar 

  • Mansor MR, Sapuan MS, Zainudin ES, Nuraini AA, Hambali A (2015) Life cycle assessment of natural fiber polymer composites. In: Hakeem KR, Jawaid M, Alothman OY (eds) Agricultural Biomass Based Potential Materials. Springer International Publishing, London, pp 121–141

    Google Scholar 

  • Mansor MR, Sapuan SM, Edi Syams Z, Abd Aziz N, Hambali A (2014) Application of integrated AHP-TOPSIS method in hybrid natural fiber composites materials selection for automotive parking brake lever component. Aust J Basic Appl Sci 8(5):431–439

    Google Scholar 

  • Mansor MR, Sapuan SM (2014) Automotive composite hand operated parking brake lever design with a weighted property index method. In: Sapuan SM (ed) Engineering composites: properties and applications. UPM Press, Serdang, pp 248–264

    Google Scholar 

  • Mansor MR, Sapuan SM, Zainudin ES, Nuraini AA, Hambali A (2013) Hybrid natural and glass fibers reinforced polymer composites material selection using analytical hierarchy process for automotive brake lever design. Mater Des 51:484–492

    Article  Google Scholar 

  • Matos MJ, Simplicio MH (2006) Innovation and sustainability in mechanical design through materials selection. Mater Des 27(1):74–78

    Article  Google Scholar 

  • Müssig J, Schmehl M, von Buttlar HB, Schönfeld U, Arndt K (2006) Exterior components based on renewable resources produced with SMC technology—Considering a bus component as example. Ind Crops Prod 24(2):132–145

    Google Scholar 

  • Peng AH, Xiao XM (2013) Material selection using PROMETHEE combined with analytic network process under hybrid environment. Mater. Des. 47:643–652

    Article  Google Scholar 

  • Prasad K, Chakraborty S (2013) A quality function deployment-based model for materials selection. Mater. Des. 49:525–535

    Article  Google Scholar 

  • Rao RV (2008) A decision making methodology for material selection using an improved compromise ranking method. Mater. Des. 29(10):1949–1954

    Article  Google Scholar 

  • Rao RV, Patel BK (2010) A subjective and objective integrated multiple attribute decision making method for material selection. Mater. Des. 31(10):4738–4747

    Article  Google Scholar 

  • Rathod MK, Kanzaria HV (2011) A methodological concept for phase change material selection based on multiple criteria decision analysis with and without fuzzy environment. Mater. Des. 32(6):3578–3585

    Article  Google Scholar 

  • Razali N, Salit MS, Jawaid M, Ishak MR, Lazim Y (2015) A study on chemical composition, physical, tensile, morphological, and thermal properties of roselle fibre: effect of fibre maturity. Bioresources 10(1):1803–1823

    Article  Google Scholar 

  • Rebitzer G, Ekvall T, Frischknecht R, Hunkeler D, Norris G, Rydberg T, … Pennington DW (2004). Life cycle assessment: Part 1:framework, goal and scope definition, inventory analysis, and applications. Environ Int 30(5):701–720

    Google Scholar 

  • Ren H, Liu Z, Zhai H, Cao Y, Omori S (2015) Effects of lignophenols on mechanical performance of biocomposites based on polyhydroxybutyrate (PHB) and polypropylene (PP) reinforced with pulp fibers. Bioresources 10(1):432–447

    Google Scholar 

  • Sahari J, Salit MS (2012) The development and properties of biodegradable and sustainable polymers. J. Polym. Mater. 29(1):153–165

    Google Scholar 

  • Sapuan SM, Mujtaba IM (2010) Development of computational framework for material selection of natural fiber-reinforced polymer composite materials using neural network. In: Sapuan SM, Mujtaba IM (eds) Composite Materials Technology: Neural Network Application. CRC Press, Boca Raton, pp 317–340

    Google Scholar 

  • Sapuan SM (1999) A computer-aided material selection for design of automotive safety critical components with novel materials. Malays. J. Comput. Sci. 12:37–46

    Google Scholar 

  • Sapuan SM (2001) A knowledge-based system for materials selection in mechanical engineering design. Mater. Des. 22:687–695

    Article  Google Scholar 

  • Sapuan SM, Abdalla HS (1998) A prototype knowledge-based system for the material selection of polymeric-based composites for automotive components. Compos. A Appl. Sci. Manuf. 29A:731–742

    Article  Google Scholar 

  • Sapuan SM, Jacob MSD, Mustapha F, Ismail N (2002) A prototype knowledge-based system for material selection of ceramic matrix composites of automotive engine components. Mater. Des. 23:701–708

    Article  Google Scholar 

  • Sapuan SM, Kho JY, Zainudin ES, Leman Z, Ali BA, Hambali A (2011) Materials selection for natural fiber reinforced polymer composites using analytical hierarchy process. Indian J Eng Mater Sci 18(4):255–267

    Google Scholar 

  • Schmehl M, Müssig J, Schönfeld U, Von Buttlar HB (2008) Life cycle assessment on a bus body component based on hemp fiber and PTP®. J Polym Environ 16(1):51–60

    Google Scholar 

  • Schmidt WP, Dahlqvist E, Finkbeiner M, Krinke S, Lazzari S, Oschmann D, … Thiel C (2004) Life cycle assessment of lightweight and end-of-life scenarios for generic compact class passenger vehicles. Int J Life Cycle Assess 9(6):405–416

    Google Scholar 

  • Shah DU (2014) Natural fibre composites: comprehensive Ashby-type materials selection charts. Mater Des 62:21–31

    Google Scholar 

  • Shanian A, Savadogo O (2006) A material selection model based on the concept of multiple attribute decision making. Mater Des 27(4):329–337

    Article  Google Scholar 

  • Song YS, Youn JR, Gutowski TG (2009) Life cycle energy analysis of fiber-reinforced composites. Compos A Appl Sci Manuf 40(8):1257–1265

    Google Scholar 

  • Surin P, Rakkwamsuk P, Wimolmala E, Sombatsompop N (2015) Effects of coir fiber and maleic anhydride modification on the properties of thermoplastic starch/PLA composite laminates. J. Nat. Fibers 12(2):108–120

    Article  Google Scholar 

  • Thakker A, Jarvis J, Buggy M, Sahed A (2008) A novel approach to materials selection strategy case study: wave energy extraction impulse turbine blade. Mater. Des. 29(10):1973–1980

    Article  Google Scholar 

  • Van Kesteren IEH, Kandachar PV, Stappers PJ (2006) Activities in selecting materials by product designers. In: proceedings of the international conference on advanced design and manufacture. Harbin, China (January)

    Google Scholar 

  • Vincke P (1992) Multicriteria decision-aid. Wiley, New York

    Google Scholar 

  • Wang YH, Deng C, Xiong Y, Wu J (2010) A mixed expert system for fault diagnosis. In: 2010 IEEE 17th international conference on industrial engineering and engineering management (IE&EM), 29–31 Oct, Xiamen

    Google Scholar 

  • Weiss V (1997) Computer-aided material selection. ASM metals Handbook, Vol. 20, ASM international, Material Park, Ohio, pp 309–314

    Google Scholar 

  • Wötzel K, Wirth R, Flake M (1999) Life cycle studies on hemp fibre reinforced components and ABS for automotive parts. Die Angew Makromol Chem 272(1):121–127

    Google Scholar 

  • Yahaya R, Sapuan SM, Jawaid M, Leman Z, Zainudin ES (2015) Effect of layering sequence and chemical treatment on the mechanical properties of woven kenaf–aramid hybrid laminated composites. Mater Des 67:173–179

    Article  Google Scholar 

  • Yang S, Ju Y (2014) A novel multiple attribute material selection approach with uncertain membership linguistic information. Mater Des 63:664–671

    Article  Google Scholar 

  • Yazdani M, Payam AF (2015) A comparative study on material selection of microelectromechanical systems electrostatic actuators using Ashby, VIKOR and TOPSIS. Mater Des 65:328–334

    Article  Google Scholar 

  • Yingzhan K (2007) Design of the fault diagnosis expert system for the fire control system. In: 6th international conference on electronic measurement and instruments, pp 1077–1080

    Google Scholar 

  • Zah R, Hischier R, Leão AL, Braun I (2007) Curauá fibers in the automobile industry–a sustainability assessment. J Cleaner Prod 15(11):1032–1040

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. L. Sanyang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Sanyang, M.L., Mansor, M.R., Sapuan, S.M., Ahmed Ali, B.A. (2017). Conceptual Design of Biocomposites for Automotive Components. In: Jawaid, M., Salit, M., Alothman, O. (eds) Green Biocomposites. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-49382-4_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-49382-4_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49381-7

  • Online ISBN: 978-3-319-49382-4

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics