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REWAS 2019 pp 19-32 | Cite as

The Role of Manufacturing Variability on Environmental Impact

  • Alexander van Grootel
  • Jiyoun Chang
  • Elsa OlivettiEmail author
Conference paper
Part of the The Minerals, Metals & Materials Series book series (MMMS)

Abstract

Additive manufacturing (AM) especially metal additive manufacturing (MAM) is expected to disrupt many industries. Besides being very flexible and allowing bespoke parts with little to no setup time, AM technology is able to fabricate parts with geometries which were previously impossible to create. This allows for dramatically better designs by making the product lighter or more efficient. However, despite these numerous and significant benefits, the uptake of functional additive manufactured parts is slow. A major barrier to expedited uptake of this technology is process control. It is not certain what the most important process parameters or the ideal process windows are and how this changes for different process/material combinations. As of yet, there is not a set process to certify an AM part or process. This makes quality assurance prohibitively longwinded and expensive. Furthermore, to ensure safety under such uncertain conditions, a high safety factor and therefore thicker parts must be used. As a result, uncertainty is also tied to increased material consumption and therefore higher environmental impact. We need to better understand the nature of variability in AM in order to alleviate some of these problems. This manuscript presents several examples of the influence of variability in manufacturing and its potential impact on environmental performance.

Keywords

Environmental impact Manufacturing Variability 

Notes

Acknowledgements

This publication was made possible with the support of the Government of Portugal through the Portuguese Foundation for International Cooperation in Science, Technology, and Higher Education, and was undertaken in the MIT Portugal Program.

References

  1. 1.
    EIA (2016) International energy outlook. In: International Energy Outlook, pp 1–2Google Scholar
  2. 2.
    UNEP (2011) Decoupling natural resource use and environmental impacts from economic growthGoogle Scholar
  3. 3.
    Cleveland CJ, Ruth M (1999) Indicators of dematerialization and the materials intensity of use. J Ind Ecol 2(3):15–50CrossRefGoogle Scholar
  4. 4.
    Ng PK, Goh GGG, Eze UC (2010) The influence of total quality management, concurrent engineering and knowledge management in a semiconductor manufacturing firm. In: 2010 IEEE international conference on industrial engineering and engineering management (IEEM), pp 240–244Google Scholar
  5. 5.
    Kaynak H (2003) The relationship between total quality management practices and their effects on firm performance. J Oper Manag 21(4):405–435CrossRefGoogle Scholar
  6. 6.
    Gupta V, Jain R, Meena ML, Dangayach GS (2018) Six-sigma application in tire-manufacturing company: a case study. J Ind Eng Int 14(3):511–520CrossRefGoogle Scholar
  7. 7.
    Prasad AG, Saravanan S, Gijo EV, Dasari SM, Tatachar R, Suratkar P (2013) Six sigma-based approach to optimise the diffusion process of crystalline silicon solar cell manufacturing. Int J Sustain Energy 35(2):190–204CrossRefGoogle Scholar
  8. 8.
    Gijo EV, Scaria J (2014) Process improvement through six sigma with beta correction: a case study of manufacturing company. Int J Adv Manuf Technol 71(1–4):717–730CrossRefGoogle Scholar
  9. 9.
    Gustavsson L, Sathre R (2006) Variability in energy and carbon dioxide balances of wood and concrete building materials. Build Environ 41(7):940–951CrossRefGoogle Scholar
  10. 10.
    Noshadravan G, Gaustad A, Kirchain R, Olivetti E (2017) Operational strategies for increasing secondary materials in metals production under uncertainty. J Sustain Metall 3(2):350–361CrossRefGoogle Scholar
  11. 11.
    Hardt DE (1993) Modeling and control of manufacturing processes: getting more involved. ASME J Dyn Syst Meas Control 115(2B):291–300CrossRefGoogle Scholar
  12. 12.
    Tang K (1988) Economic design of product specifications for a complete inspection plan. Int J Prod Res 26(2):203–217CrossRefGoogle Scholar
  13. 13.
    ASTM (2015) ASTM F3114-15. Astm i:1–5Google Scholar
  14. 14.
    DoD (1997) Department of defense handbook composite materials handbook. In: Polymer matrix composites guidelines for characterization of structural materials, vol 1Google Scholar
  15. 15.
    Sartori I, Hestnes AG (2007) Energy use in the life cycle of conventional and low-energy buildings: a review article. Energy Build 39(3):249–257CrossRefGoogle Scholar
  16. 16.
    Del Pero F, Delogu M, Pierini M, Bonaffini D (2015) Life cycle assessment of a heavy metro train. J Clean Prod 87(1):787–799CrossRefGoogle Scholar
  17. 17.
    Andrew RM (2018) Global CO2 emissions from cement production. Earth Syst Sci Data 1–52Google Scholar
  18. 18.
    Obla K (2010) Sources of concrete strength variation—Part II of concrete quality series. In: Tech talk concrete in focus, pp 21–23Google Scholar
  19. 19.
    Cook JE, Parnes J, Akers DJ, Barringer WL, Brown JL, Graf A (2011) Evaluation of strength test results of concrete. Test 1–20Google Scholar
  20. 20.
    ACI (2014) Building code requirements for structural concrete (ACI 318-14), vol 11Google Scholar
  21. 21.
    Kingon AI, Maria JP, Streiffer SK (2000) Alternative dielectrics to silicon dioxide for memory and logic devices. Nature 406(6799):1032–1038CrossRefGoogle Scholar
  22. 22.
    Ozdemir S, Sinha D, Memik G, Adams J, Zhou H (2006) Yield-aware cache architectures. In: Proceedings of annual international symposium on microarchitecture, MICRO. pp 15–25Google Scholar
  23. 23.
    Slater M (1995) Intel boosts pentium pro to 200 MHz. Microprocess Rep 9(17)Google Scholar
  24. 24.
    Boggs D et al (2004) The microarchitecture of the Intel® Pentium® 4 processor on 90 nm technology. Intel Technol J 08(1–18):119–130Google Scholar
  25. 25.
    Kuhn K et al (2008) Managing process variation in Intel’s 45 nm CMOS technology. Intel J Technol 12(45):77–85Google Scholar
  26. 26.
    Mesogitis TS, Skordos AA, Long AC (2014) Uncertainty in the manufacturing of fibrous thermosetting composites: a review. Compos Part A Appl Sci Manuf 57:67–75CrossRefGoogle Scholar
  27. 27.
    US Department of Defense (2002) Composite materials handbook. In: Polymer matrix composites materials usage, design, and analysis, vol 3Google Scholar
  28. 28.
    van Grootel A, Chang J, Olivetti E. Economic and environmental cost of variability in manufacturing: the case of carbon fiber reinforced polymer composite in the aerospace industry (in progress)Google Scholar
  29. 29.
    Friedrich K, Almajid AA (2013) Manufacturing aspects of advanced polymer composites for automotive applications. Appl Compos Mater 20(2):107–128CrossRefGoogle Scholar
  30. 30.
    Vosteen LF, Hadcock RN (1994) Composite chronicles: a study of the lessons learned in the development, production, and service of composite structuresGoogle Scholar
  31. 31.
    Hale J (2008) Boeing 787 from the ground up 06. BoeingGoogle Scholar
  32. 32.
    Quilter A (2004) Composites in aerospace applications. Inf Handl Serv Inc 1–5Google Scholar
  33. 33.
    Bonnín Roca J, Vaishnav P, Fuchs ERH, Morgan MG (2016) Policy needed for additive manufacturing. Nat Mater 15(8):815–818Google Scholar
  34. 34.
    FAA (2016) Summary report: joint federal aviation administration—air force workshop on qualification/certification of additively manufactured parts, New JerseyGoogle Scholar
  35. 35.
    Everton SK, Hirsch M, Stravroulakis P, Leach RK, Clare AT (2016) Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing. Mater Des 95:431–445CrossRefGoogle Scholar
  36. 36.
    Huang R et al (2016) Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components. J Clean Prod 135:1559–1570CrossRefGoogle Scholar

Copyright information

© The Minerals, Metals & Materials Society 2019

Authors and Affiliations

  • Alexander van Grootel
    • 1
  • Jiyoun Chang
    • 2
  • Elsa Olivetti
    • 2
    Email author
  1. 1.Technology and Policy ProgramMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Department of Materials Science & EngineeringMassachusetts Institute of TechnologyCambridgeUSA

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