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Sustainable Design for Additive Manufacturing Through Functionality Integration and Part Consolidation

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Handbook of Sustainability in Additive Manufacturing

Abstract

Additive Manufacturing (AM) is a type of material joining process whereby parts can be directly fabricated from its 3D model by adding materials typically in a layer by layer fashion. Compared to conventional manufacturing techniques, AM has some unique capabilities which bring significant design freedom for designers. Some of this design freedom is manifested in the innovative design of lattice structure to achieve multifunction with reduced weight and consolidated component designed with reduced part count and improved performances. A new type of design philosophy for AM is emerging that is to achieve integrated functions and part consolidation, which plays a significant role in sustainable design. This chapter discusses this new design philosophy with a thorough review of lattice structure design and optimization methods, design for AM methods, and other related new design methods. It presents a general design framework to support sustainable design for AM via functionality integration and part consolidation. This proposed general design methodology supports the design that has less part counts and less material but without compromising its functionality. A case study is given at the end of the chapter to illustrate and validate the proposed design methodology. The result of this case study shows that the environmental impact of a product’s manufacturing process can be reduced by redesigning the existing product based on the proposed design methodology. Moreover, compared to its original design, the redesigned product also has a lower part count. Generally, this case study implies that design freedom enabled by AM is an indispensable factor which needs to be considered during the environmental impact analysis of products fabricated by AM processes.

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References

  • Adam GAO, Zimmer D (2014) Design for additive manufacturing—element transitions and aggregated structures. CIRP J Manuf Sci Technol 7:20–28

    Article  Google Scholar 

  • A. Engineering (2009) Version10.0, Users manual Optistruct., Inc., Troy, MI

    Google Scholar 

  • Albers A, Matthiesen S, Ohmer M (2003) An innovative new basic model in design methodology for analysis and synthesis of technical systems. In: DS 31: Proceedings of ICED 03, the 14th International Conference on Engineering Design, Stockholm

    Google Scholar 

  • Allaire G, Jouve F, Toader A-M (2002) A level-set method for shape optimization. CR Math 334:1125–1130

    Article  Google Scholar 

  • Andreasen MM, Kähler S, Lund T (1983) Design for assembly. Ifs Publications, London, UK

    Google Scholar 

  • Ashby MF, Cebon D (1993) Materials selection in mechanical design. Le Journal de Physique IV 3:C7-1–C7-9

    Google Scholar 

  • ASTM Standard (2012) WK38342 New Guide for Design for Additive Manufacturing_in draft. West Conshohocken, PA. http://www.astm.org/DATABASE.CART/WORKITEMS/WK38342.htm

  • Baumers M, Tuck C, Bourell D, Sreenivasan R, Hague R (2011) Sustainability of additive manufacturing: measuring the energy consumption of the laser sintering process. Proceed Inst Mech Eng, Part B: J Eng Manuf 225:2228–2239

    Article  Google Scholar 

  • Becker R, Grzesiak A, Henning A (2005) Rethink assembly design. Assembly Autom 25:262–266

    Article  Google Scholar 

  • Bendsøe MP, Kikuchi N (1988) Generating optimal topologies in structural design using a homogenization method. Comput Methods Appl Mech Eng 71:197–224

    Article  Google Scholar 

  • Bendsøe MP, Ben-Tal A, Zowe J (1994) Optimization methods for truss geometry and topology design. Struct Optim 7:141–159

    Article  Google Scholar 

  • Bin Maidin S (2011) Development of a design feature database to support design for additive manufacturing (DfAM), Dissertation, Loughborough University, UK

    Google Scholar 

  • Blouin VY, Oschwald M, Hu Y, Fadel GM (2005) Design of functionally graded structures for enhanced thermal behavior. In: ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2005, pp 835–843

    Google Scholar 

  • Boothroyd G, Dewhurst P, Knight WA, Press C (2002) Product design for manufacture and assembly. M. Dekker New York, USA

    Google Scholar 

  • Bourhis FL, Kerbrat O, Dembinski L, Hascoet J-Y, Mognol P (2014) Predictive model for environmental assessment in additive manufacturing process. CIRP Procedia 15:26–31

    Article  Google Scholar 

  • Boyard N, Rivette M, Christmann O, Richir S (2014) A design methodology for parts using additive manufacturing, high value manufacturing: advanced research in virtual and rapid prototyping, pp 399–404

    Google Scholar 

  • Bralia J (1986) Handbook of product design for manufacturing: a practical guide to low-cost production. McGraw-Hill Book Company 1986:1120

    Google Scholar 

  • Byun HS, Lee KH (2006) Determination of the optimal build direction for different rapid prototyping processes using multi-criterion decision making. Robot Comput-Integr Manuf 22:69–80

    Article  Google Scholar 

  • Castilho M, Dias M, Gbureck U, Groll J, Fernandes P, Pires I et al (2013) Fabrication of computationally designed scaffolds by low temperature 3D printing. Biofabrication 5:035012

    Article  Google Scholar 

  • Chen Z, Gao L, Qiu H, Shao X (2009) Combining genetic algorithms with optimality criteria method for topology optimization. In: Fourth International Conference on Bio-Inspired Computing, 2009. BIC-TA’09, pp 1–6

    Google Scholar 

  • Chen Y, Zhou S, Li Q (2011) Microstructure design of biodegradable scaffold and its effect on tissue regeneration. Biomaterials 32:5003–5014

    Article  CAS  Google Scholar 

  • Delgado J, Ciurana J (2012) Mechanical characterisation of metal material properties in additive layer processes. Int J Mechatron Manuf Syst 5:189–213

    Google Scholar 

  • Dorn WS, Gomory RE, Greenberg HJ (1964) Automatic design of optimal structures. J De Mec 3:25–52

    Google Scholar 

  • Evans A, Hutchinson J, Fleck N, Ashby M, Wadley H (2001) The topological design of multifunctional cellular metals. Prog Mater Sci 46:309–327

    Article  CAS  Google Scholar 

  • E. Inc (2014) Data sheet of 316 stainless steel infiltrated with bronze, 13 Mar 2014

    Google Scholar 

  • Faludi J, Bayley C, Bhogal S, Iribarne M (2015) Comparing environmental impacts of additive manufacturing vs traditional machining via life-cycle assessment. Rapid Prototyping J 21:14–33

    Article  Google Scholar 

  • Faur C, Crainic N, Sticlaru C, Oancea C (2013) Rapid prototyping technique in the preoperative planning for total hip arthroplasty with custom femoral components. Wien Klin Wochenschr 125:144–149

    Article  Google Scholar 

  • Gibson I, Rosen DW, Stucker B (2010) Additive manufacturing technologies rapid prototyping to direct digital manufacturing. Available: http://site.ebrary.com/id/10356040

  • Goedkoop M, Heijungs R, Huijbregts M, De Schryver A, Struijs J, van Zelm R (2008) ReCiPe 2008, a life cycle impact assessment method which comprises harmonised category indicators at the midpoint and the endpoint level, vol 1, 2009

    Google Scholar 

  • Gu P, Hashemian M, Nee A (2004) Adaptable design. CIRP Ann-Manuf Technol 53:539–557

    Article  Google Scholar 

  • Harper SR, Thurston DL (2008) Incorporating environmental impacts in strategic redesign of an engineered system. J Mech Des 130:031101

    Article  Google Scholar 

  • Hopkinson N, Hague RJM, Dickens PM (2006) Rapid manufacturing : an industrial revolution for the digital age. Wiley, Chichester, England

    Google Scholar 

  • Huang R, Riddle M, Graziano D, Warren J, Das S, Nimbalkar S et al (2015) Energy and emissions saving potential of additive manufacturing: the case of lightweight aircraft components. J Cleaner Prod

    Google Scholar 

  • Kellens K, Dewulf W, Deprez W, Yasa E, Duflou J (2010) Environmental analysis of SLM and SLS manufacturing processes. In: Proceedings of LCE2010 Conference, pp 423–428

    Google Scholar 

  • Kellens K, Yasa E, Renaldi R, Dewulf W, Kruth JP, Duflou JR (2011) Energy and resource efficiency of SLS/SLM processes. In: 22nd Annual International Solid Freeform Fabrication Symposium—An Additive Manufacturing Conference, SFF 2011, pp 1–16

    Google Scholar 

  • Kellens K, Dewulf W, Overcash M, Hauschild M, Duflou J (2012) Methodology for systematic analysis and improvement of manufacturing unit process life-cycle inventory (UPLCI)—CO2PE! initiative (cooperative effort on process emissions in manufacturing). Part 1: Methodology description. Int J Life Cycle Assess 17:69–78

    Article  CAS  Google Scholar 

  • Kim GD, Oh YT (2008) A benchmark study on rapid prototyping processes and machines: quantitative comparisons of mechanical properties, accuracy, roughness, speed, and material cost. 222:201–15

    Google Scholar 

  • Kreiger M, Pearce JM (2013) Environmental impacts of distributed manufacturing from 3-D printing of polymer components and products. In: MRS Proceedings, pp 85–90

    Google Scholar 

  • Kruf W, van de Vorst B, Maalderink H, Kamperman N (2001) Design for rapid manufacturing Functional SLS Parts. In: Intelligent Production Machines and Systems-2nd I* PROMS Virtual International Conference 2011, p 389

    Google Scholar 

  • Kumar A, Choudhary S (2015) Analysis and substitution of metal triple tree/yoke of motorcycle with plastic triple tree. HCTL Open Int J Technol Innovations Res (IJTIR) 16

    Google Scholar 

  • Le Bourhis F, Kerbrat O, Hascoet JY, Mognol P (2013) Sustainable manufacturing: evaluation and modeling of environmental impacts in additive manufacturing. Int J Adv Manuf Technol 69:1927–1939

    Article  Google Scholar 

  • Lopes AJ, MacDonald E, Wicker RB (2012) Integrating stereolithography and direct print technologies for 3D structural electronics fabrication. Rapid Prototyping J 18:129–143

    Article  Google Scholar 

  • Luo Y, Ji Z, Leu MC, Caudill R (1999) Environmental performance analysis of solid freedom fabrication processes. In: Proceedings of the 1999 IEEE International Symposium on Electronics and the Environment, 1999. ISEE-1999, pp. 1–6

    Google Scholar 

  • Ma Z-D, Wang H, Kikuchi N, Pierre C, Raju B (2006) Experimental validation and prototyping of optimum designs obtained from topology optimization. Struct Multi Optim 31:333–343

    Article  Google Scholar 

  • Mahesh M, Wong Y, Fuh J, Loh H (2004) Benchmarking for comparative evaluation of RP systems and processes. Rapid Prototyping J 10:123–135

    Article  Google Scholar 

  • Maidin SB, Campbell I, Pei E (2012) Development of a design feature database to support design for additive manufacturing. Assembly Autom 32:235–244

    Article  Google Scholar 

  • Mani M, Lyons KW, Gupta SK (2014) Sustainability characterization for additive manufacturing. J Res Nat Inst Stand Technol 119:419–428

    Article  Google Scholar 

  • Mavroidis C, DeLaurentis KJ, Won J, Alam M (2001) Fabrication of non-assembly mechanisms and robotic systems using rapid prototyping. J Mech Des 123:516–524

    Article  Google Scholar 

  • Meteyer S, Xu X, Perry N, Zhao YF (2014) Energy and material flow analysis of binder-jetting additive manufacturing processes. Procedia CIRP 15:19–25

    Article  Google Scholar 

  • Mognol P, Lepicart D, Perry N (2006) Rapid prototyping: energy and environment in the spotlight. Rapid Prototyping J 12:26–34

    Article  Google Scholar 

  • Morrow WR, Qi H, Kim I, Mazumder J, Skerlos SJ (2007) Environmental aspects of laser-based and conventional tool and die manufacturing. J Cleaner Prod 15:932–943

    Google Scholar 

  • Murr LE, Gaytan SM, Medina F, Lopez H, Martinez E, MacHado BI et al (2010) Next-generation biomedical implants using additive manufacturing of complex cellular and functional mesh arrays. Philos Trans Royal Soc A: Math, Phys Eng Sci 368:1999–2032

    Article  CAS  Google Scholar 

  • Otto KN, Wood KL (1998) Product evolution: a reverse engineering and redesign methodology. Res Eng Des 10:226–243

    Article  Google Scholar 

  • Otto KN, Wood KL (2001) Product design: techniques in reverse engineering and new product development. Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  • Oxman N, Keating S, Tsai E (2012) Functionally graded rapid prototyping. In: 5th International Conference on Advanced Research in Virtual and Physical Prototyping, VR@P 2011, 28 Sept 2011–1 Oct 2011, Leiria, Portugal, pp 483–489

    Google Scholar 

  • Pahl G, Beitz W, Feldhusen J, Grote K-H (2007) Engineering design: a systematic approach, vol 157. Springer, US

    Book  Google Scholar 

  • Perez KB, Williams CB (2013) Combining additive manufacturing and direct write for integrated electronics—A review. In: 24th International Solid Freeform Fabrication Symposium—An Additive Manufacturing Conference, SFF 2013, 12–14 Aug 2013, Austin, TX, United states, pp 962–979

    Google Scholar 

  • Popsecu D (2007) Design for rapid prototyping: implementation of design rules regarding the form and dimensional accuracy of rp prototypes

    Google Scholar 

  • Rännar L-E, Glad A, Gustafson C-G (2007) Efficient cooling with tool inserts manufactured by electron beam melting. Rapid Prototyping J 13:128–135

    Article  Google Scholar 

  • Regenfuss P, Ebert R, Exner H (2007) Laser micro sintering–a versatile Instrument for the generation of microparts. Laser Tech J 4:26–31

    Article  Google Scholar 

  • Reich Y (1995) A critical review of general design theory. Res Eng Des 7:1–18

    Article  Google Scholar 

  • Rodrigue H, Rivette M, Calatoru V, Richir S (2011) Une méthodologie de conception pour la fabrication additive

    Google Scholar 

  • Rosen DW (2007a) Computer-aided design for additive manufacturing of cellular structures. Comput-Aided Des Appl 4:585–594

    Google Scholar 

  • Rosen DW (2007) Design for additive manufacturing: a method to explore unexplored regions of the design space. In: Eighteenth Annual Solid Freeform Fabrication Symposium, pp 402–415

    Google Scholar 

  • Rozvany G, Zhou M, Birker T (1992) Generalized shape optimization without homogenization. Struct Optim 4:250–252

    Article  Google Scholar 

  • Segonds F (2011) Contribution to the integration of a collaborative design environment in the early stages of design. PhD, Arts et Metiers ParisTech

    Google Scholar 

  • Seliger G, Khraisheh MK, Jawahir IS (eds) (2011) Advances in sustainable manufacturing. In: Proceedings of the 8th Global Conference on Sustainable Manufacturing, Berlin, Heidelberg: Springer.

    Google Scholar 

  • Shellabear M (1999) Benchmark study of accuracy and surface quality in RP models, Brite/EuRam Report BE-2051, Task, 4

    Google Scholar 

  • Singhal SK, Jain PK, Pandey PM, Nagpal AK (2009) Optimum part deposition orientation for multiple objectives in SL and SLS prototyping. Int J Prod Res 47:6375–6396

    Article  Google Scholar 

  • Sreenivasan R, Goel A, Bourell DL (2010) Sustainability issues in laser-based additive manufacturing. In: Physics Procedia, pp 81–90

    Google Scholar 

  • Suh NP (1990) The principles of design. Oxford University Press, New York, USA

    Google Scholar 

  • Suh NP (1998) Axiomatic design theory for systems. Res Eng Design 10:189–209

    Article  Google Scholar 

  • Tang Y, Hascoet JV, Zhao YF (2014) Integration of topological and functional optimization in design for additive manufacturing, presented at the ASME 2014 12th Biennial Conference on Engineering Systems Copenhagen, Denmark

    Google Scholar 

  • Telenko C, Conner Seepersad C (2012) A comparison of the energy efficiency of selective laser sintering and injection molding of nylon parts. Rapid Prototyping J 18:472–481

    Article  Google Scholar 

  • Thomas D (2010) The development of design rules for selective laser melting. Dissertation, University of Wales, UK

    Google Scholar 

  • Tomiyama T (2006) A classification of design theories and methodologies. In: ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2006, pp. 43–51

    Google Scholar 

  • Tomiyama T, Gu P, Jin Y, Lutters D, Kind C, Kimura F (2009) Design methodologies: industrial and educational applications. CIRP Ann-Manuf Technol 58:543–565

    Article  Google Scholar 

  • Vayre B, Vignat F, Villeneuve F (2012) Designing for additive manufacturing. Procedia CIRP 3:632–637

    Google Scholar 

  • Vayre B, Vignat F, Villeneuve F (2013) Identification on some design key parameters for additive manufacturing: application on electron beam melting. Forty Sixth Cirp Conference on Manufacturing Systems 2013, vol 7, pp 264–269

    Google Scholar 

  • Wang SY, Tai K (2005) Structural topology design optimization using genetic algorithms with a bit-array representation. Comput Methods Appl Mech Eng 194:3749–3770

    Article  Google Scholar 

  • Wang MY, Wang X, Guo D (2003) A level set method for structural topology optimization. Comput Methods Appl Mech Eng 192:227–246

    Article  Google Scholar 

  • Watts D, Hague R (2006) Exploiting the design freedom of RM. In: Proceeding of the Solid Freeform Fabrication Symp., Austin, TX, 14–16 Aug 2006, pp 656–67

    Google Scholar 

  • Weber C (2005) CPM/PDD–an extended theoretical approach to modelling products and product development processes. In: Proceedings of the 2nd German-Israeli Symposium on Advances in Methods and Systems for Development of Products and Processes, 2005, pp 159–179

    Google Scholar 

  • Weidema B, Bauer C, Hischier R, Mutel C, Nemecek T, Vadenbo C et al (2011) Overview and methodology. Data Qual Guidel Ecoinvent Database Version 3:76–84

    Google Scholar 

  • Wilson JM, Piya C, Shin YC, Zhao F, Ramani K (2014) Remanufacturing of turbine blades by laser direct deposition with its energy and environmental impact analysis. J Cleaner Prod 80:170–178

    Article  Google Scholar 

  • Wohlers TT (2010) Wohlers Report 2010: Additive Manufacturing State of the Inudstry: Annual Worldwide Progress Report: Wohlers Associates

    Google Scholar 

  • www.3Ders.org (2013, July 20). 3D printing can cut material consumption by 75%, CO2 emissions by 40%. Available: http://www.3ders.org/articles/20131024-3d-printing-can-cut-material-consumption-co2-emissions.html

  • Xie Y, Steven GP (1993) A simple evolutionary procedure for structural optimization. Comput Struct 49:885–896

    Article  Google Scholar 

  • Xu X, Meteyer S, Perry N, Zhao YF (2014) Energy consumption model of binder-jetting additive manufacturing processes. Int J Prod Res 1–11

    Google Scholar 

  • Yang S, Zhao YF (2015) Additive manufacturing-enabled design theory and methodology: a critical review. Int J Adv Manuf Technol 1–16

    Google Scholar 

  • Yang S, Zhao Y (2015) Additive manufacturing-enabled design theory and methodology: a critical review. Int J Adv Manuf Technol 1–16

    Google Scholar 

  • Yang S, Tang Y, Zhao YF (2015) A new part consolidation method to embrace the design freedom of additive manufacturing. J Manuf Proc

    Google Scholar 

  • Yoon HS, Lee JY, Kim HS, Kim MS, Kim ES, Shin YJ et al (2014) A comparison of energy consumption in bulk forming, subtractive, and additive processes: review and case study. Int J Precis Eng Manuf—Green Technol 1:261–279

    Article  Google Scholar 

  • Young V, Querin O, Steven G, Xie Y (1999) 3D and multiple load case bi-directional evolutionary structural optimization (BESO). Struct Optim 18:183–192

    Article  Google Scholar 

  • Zhou M, Xi J, Yan J (2004) Modeling and processing of functionally graded materials for rapid prototyping. J Mater Process Technol 146:396–402

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, McGill University, Montreal, QC, Canada

    Yunlong Tang, Sheng Yang & Yaoyao Fiona Zhao

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  1. Yunlong Tang
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  2. Sheng Yang
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  3. Yaoyao Fiona Zhao
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Correspondence to Yaoyao Fiona Zhao .

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Editors and Affiliations

  1. Environmental Services Manager-Asia, SGS Hong Kong Limited, Hong Kong, Hong Kong

    Subramanian Senthilkannan Muthu

  2. Dept. of Industrial and Systems Eng., The Hong Kong Polytechnic University, Hong Kong, China

    Monica Mahesh Savalani

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Tang, Y., Yang, S., Zhao, Y.F. (2016). Sustainable Design for Additive Manufacturing Through Functionality Integration and Part Consolidation. In: Muthu, S., Savalani, M. (eds) Handbook of Sustainability in Additive Manufacturing. Environmental Footprints and Eco-design of Products and Processes. Springer, Singapore. https://doi.org/10.1007/978-981-10-0549-7_6

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