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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
EIA (2016) International energy outlook. In: International Energy Outlook, pp 1–2
UNEP (2011) Decoupling natural resource use and environmental impacts from economic growth
Cleveland CJ, Ruth M (1999) Indicators of dematerialization and the materials intensity of use. J Ind Ecol 2(3):15–50
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 240–244
Kaynak H (2003) The relationship between total quality management practices and their effects on firm performance. J Oper Manag 21(4):405–435
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):511–520
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):190–204
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):717–730
Gustavsson L, Sathre R (2006) Variability in energy and carbon dioxide balances of wood and concrete building materials. Build Environ 41(7):940–951
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):350–361
Hardt DE (1993) Modeling and control of manufacturing processes: getting more involved. ASME J Dyn Syst Meas Control 115(2B):291–300
Tang K (1988) Economic design of product specifications for a complete inspection plan. Int J Prod Res 26(2):203–217
ASTM (2015) ASTM F3114-15. Astm i:1–5
DoD (1997) Department of defense handbook composite materials handbook. In: Polymer matrix composites guidelines for characterization of structural materials, vol 1
Sartori I, Hestnes AG (2007) Energy use in the life cycle of conventional and low-energy buildings: a review article. Energy Build 39(3):249–257
Del Pero F, Delogu M, Pierini M, Bonaffini D (2015) Life cycle assessment of a heavy metro train. J Clean Prod 87(1):787–799
Andrew RM (2018) Global CO2 emissions from cement production. Earth Syst Sci Data 1–52
Obla K (2010) Sources of concrete strength variation—Part II of concrete quality series. In: Tech talk concrete in focus, pp 21–23
Cook JE, Parnes J, Akers DJ, Barringer WL, Brown JL, Graf A (2011) Evaluation of strength test results of concrete. Test 1–20
ACI (2014) Building code requirements for structural concrete (ACI 318-14), vol 11
Kingon AI, Maria JP, Streiffer SK (2000) Alternative dielectrics to silicon dioxide for memory and logic devices. Nature 406(6799):1032–1038
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 15–25
Slater M (1995) Intel boosts pentium pro to 200Â MHz. Microprocess Rep 9(17)
Boggs D et al (2004) The microarchitecture of the Intel® Pentium® 4 processor on 90 nm technology. Intel Technol J 08(1–18):119–130
Kuhn K et al (2008) Managing process variation in Intel’s 45 nm CMOS technology. Intel J Technol 12(45):77–85
Mesogitis TS, Skordos AA, Long AC (2014) Uncertainty in the manufacturing of fibrous thermosetting composites: a review. Compos Part A Appl Sci Manuf 57:67–75
US Department of Defense (2002) Composite materials handbook. In: Polymer matrix composites materials usage, design, and analysis, vol 3
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)
Friedrich K, Almajid AA (2013) Manufacturing aspects of advanced polymer composites for automotive applications. Appl Compos Mater 20(2):107–128
Vosteen LF, Hadcock RN (1994) Composite chronicles: a study of the lessons learned in the development, production, and service of composite structures
Hale J (2008) Boeing 787 from the ground up 06. Boeing
Quilter A (2004) Composites in aerospace applications. Inf Handl Serv Inc 1–5
BonnÃn Roca J, Vaishnav P, Fuchs ERH, Morgan MG (2016) Policy needed for additive manufacturing. Nat Mater 15(8):815–818
FAA (2016) Summary report: joint federal aviation administration—air force workshop on qualification/certification of additively manufactured parts, New Jersey
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 95:431–445
Huang R et al (2016) Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components. J Clean Prod 135:1559–1570
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 The Minerals, Metals & Materials Society
About this paper
Cite this paper
van Grootel, A., Chang, J., Olivetti, E. (2019). The Role of Manufacturing Variability on Environmental Impact. In: Gaustad, G., et al. REWAS 2019. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-030-10386-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-10386-6_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-10385-9
Online ISBN: 978-3-030-10386-6
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)