Research Papers

Metal Additive Manufacturing: Cost Competitive Beyond Low Volumes

[+] Author and Article Information
Rianne E. Laureijs

Engineering and Public Policy,
Carnegie Mellon University,
5000 Forbes Avenue,
129 Baker Hall,
Pittsburgh, PA 15213
e-mail: rlaureij@andrew.cmu.edu

Jaime Bonnín Roca

Engineering and Public Policy,
Carnegie Mellon University,
5000 Forbes Avenue,
129 Baker Hall,
Pittsburgh, PA 15213
e-mail: jbonninr@andrew.cmu.edu

Sneha Prabha Narra

Mechanical Engineering,
Carnegie Mellon University,
5000 Forbes Avenue,
Scaife Hall,
Pittsburgh, PA 15213
e-mail: snarra@andrew.cmu.edu

Colt Montgomery

Mechanical Engineering,
Carnegie Mellon University,
5000 Forbes Avenue,
Scaife Hall,
Pittsburgh, PA 15213
e-mail: cmontgom@andrew.cmu.edu

Jack L. Beuth

Mechanical Engineering,
Carnegie Mellon University,
5000 Forbes Avenue,
Scaife Hall 301,
Pittsburgh, PA 15213
e-mail: beuth@andrew.cmu.edu

Erica R. H. Fuchs

Engineering and Public Policy,
Carnegie Mellon University,
5000 Forbes Avenue,
131 Baker Hall,
Pittsburgh, PA 15213
e-mail: erhf@andrew.cmu.edu

1Corresponding author.

Manuscript received July 1, 2016; final manuscript received December 5, 2016; published online May 10, 2017. Assoc. Editor: Zhijian J. Pei.

J. Manuf. Sci. Eng 139(8), 081010 (May 10, 2017) (9 pages) Paper No: MANU-16-1358; doi: 10.1115/1.4035420 History: Received July 01, 2016; Revised December 05, 2016

Additive manufacturing (AM) is increasingly of interest for commercial and military applications due to its potential to create novel geometries with increased performance. For additive manufacturing to find commercial application, it must be cost competitive against traditional processes such as forging. Forecasting the production costs of future products prior to large-scale investment is challenging due to the limits of traditional cost accounting's ability to handle both the systemic process implications of new technologies and the cognitive biases in humans' additive and systemic estimates. Leveraging a method uniquely suited to these challenges, we quantify the production and use economics of an additively manufactured versus a traditionally forged GE engine bracket of equivalent performance for commercial aviation. Our results show that, despite the simplicity of the engine bracket, when taking into account the part redesign for AM and the associated lifetime fuel savings of the additively designed bracket, the additively manufactured part and design is cheaper than the forged one for a wide range of scenarios, including at higher volumes of 2000–12,000 brackets per year. Opportunities to further reduce costs include accessing lower material prices without compromising quality, producing vertical builds with equivalent performance to horizontal builds, and increasing process control so as to enable reduced testing. Given the conservative nature of our assumptions as well as our choice of part, these results suggest that there may be broader economic viability for additively manufactured parts, especially when systemic factors and use costs are incorporated.

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Harris, I. D. , 2011, “ Development and Implementation of Metals Additive Manufacturing,” EWI, Columbus, OH, accessed June 30, 2016, https://ewi.org/eto/wp-content/uploads/2013/06/Additive-Manufacturing-DOT-Paper-2011.pdf
National Science and Technology Council Interagency Working Group on Advanced Manufacturing, 2012, “ A National Strategic Plan for Advanced Manufacturing,” Office of Science and Technology Policy, Washington, DC.
Wohlers, T. , 2011, Wohlers Report 2011: Additive Manufacturing and 3D Printing State of the Industry Annual Worldwide Progress Report, Wohlers Associates, Fort Collins, CO.
Raghavan, K. S. , 2014, “ A New Process for Design of Hollow Turbine Blades Suited for Additive Manufacturing Technology,” Cyient, East Hartford, CT, accessed Aug. 2, 2015, http://www.cyient.com/downloads/execute/file/white-paper-a-new-process-for-design-of-hollow-turbine-blades-suited-for-additive-manufacturing-tec
Collier, C. A. , and Ledbetter, W. B. , 1982, Engineering Cost Analysis, Harper & Row Limited, New York.
Ostwald, P. F. , 1991, Engineering Cost Estimating, 3rd ed., Prentice Hall, Upper Saddle River, NJ.
Ostwald, P. , and McLaren, T. , 2004, Cost Analysis and Estimating for Engineering and Management, Prentice Hall—Pearson, Upper Saddle River, NJ.
Boothroyd, G. , Dewhurst, P. , and Knight, W. , 2010, Product Design for Manufacture and Assembly, 3rd ed., Marcel Dekker, New York.
Layer, A. , Ten Brinke, E. , Van Houten, F. , Kals, H. , and Haasis, S. , 2002, “ Recent and Future Trends in Cost Estimation,” Int. J. Comput. Integr. Manuf., 15(6), pp. 499–510. [CrossRef]
Asiedu, Y. , Besant, R. W. , and Gu, P. , 2000, “ Simulation-Based Cost Estimation Under Economic Uncertainty Using Kernel Estimators,” Int. J. Prod. Res., 38(9), pp. 2021–2035. [CrossRef]
Kirchain, R. , and Field, F. , 2000, “ Process-Based Cost Modeling: Understanding the Economics of Technical Decisions,” Encycl. Mater. Sci. Eng., 2, pp. 1718–1727.
Thomke, S. , 2003, Experimentation Matters: Unlocking the Potential of New Technologies for Innovation, Harvard Business School Press, Boston, MA.
Dasbach, J. M. , and Apgar, H. , 1988, “ Design Analysis Through Techniques of Parametric Cost Estimation,” Eng. Costs Prod. Econ., 14(2), pp. 87–93. [CrossRef]
Asiedu, Y. , and Gu, P. , 1998, “ Product Life Cycle Cost Analysis: State of the Art Review,” Int. J. Prod. Res., 36(4), pp. 883–908. [CrossRef]
Weustink, I. F. , ten Brinke, E. , Streppel, A. H. , and Kal, H. J. J. , 2000, “ A Generic Framework for Cost Estimation and Cost Control in Product Design,” J. Mater. Process. Technol., 103(1), pp. 141–148. [CrossRef]
Field, F. , Kirchain, R. , and Roth, R. , 2007, “ Process Cost Modeling: Strategic Engineering and Economic Evaluation of Materials Technologies,” JOM, 59(10), pp. 21–32. [CrossRef]
Ong, N. S. , 1995, “ Manufacturing Cost Estimation for PCB Assembly: An Activity-Based Approach,” Int. J. Prod. Econ., 38(2–3), pp. 159–172. [CrossRef]
LaTrobe-Bateman, J. , and Wild, D. , 2003, “ Design for Manufacturing: Use of Spreadsheet Model of Manufacturability to Optimize Product Design and Development,” Res. Eng. Des., 14(2), pp. 107–117. [CrossRef]
Busch, J. V. , and Field, F. R. , 1988, “ Technical Cost Modeling,” The Blow Molding Handbook, D. Rosato and D. Rosato , eds., Hanser Publishers, Cincinnati, OH.
Fuchs, E. , Field, F. , Roth, R. , and Kirchain, R. , 2011, “ Plastic Cars in China? The Significance of Production Location Over Markets for Technology Competitiveness in the United States Versus the People's Republic of China,” Int. J. Prod. Econ., 132(1), pp. 79–92. [CrossRef]
Fuchs, E. , Field, F. , Roth, R. , and Kirchain, R. , 2008, “ Strategic Materials Selection in the Automotive Body: Economic Opportunities for Polymer Composite Design,” Compos. Sci. Technol., 68(9), pp. 1989–2002. [CrossRef]
Fuchs, E. , and Kirchain, R. E. , 2010, “ Design for Location: The Impact of Manufacturing Offshore on Technology Competitiveness,” Manage. Sci., 56(12), pp. 2323–2349. [CrossRef]
Marallo, S. L. , and Dieffenbach, J. R. , 1994, “ Manufacturing Cost Analysis for Electronic Packaging,” International Workshop on the Economics of Design, Test, and Manufacturing for Electronic Circuits and Systems, Austin, TX, May 16–17, pp. 90–94.
Fuchs, E. , Bruce, E. , Ram, R. , and Kirchain, R. , 2006, “ Process-Based Cost Modeling of Photonics Manufacture: The Cost Competitiveness of Monolithic Integration of a 1550-nm DFB Laser and an Electroabsorptive Modulator on an InP Platform,” J. Lightwave Technol., 24(8), pp. 3175–3186. [CrossRef]
Fuchs, E. , Kirchain, R. , and Liu, S. , 2011, “ The Future of Silicon Photonics—Not So Fast?: The Case of 100G Ethernet LAN Transceivers,” J. Lightwave Technol., 29(15), pp. 2319–2326. [CrossRef]
Field, F. , and Ng, L. , 1989, “ Materials for Printed Circuit Boards: Past Usage and Future Prospects,” Mater. Soc., 13(3), p. 17.
Field, F. , and Ng, L. , 1989, “ Technical Cost Modeling for Printed Circuit Board Fabrication,” Print. Circuit Fabr., 12(2).
Sikorski, S. , Krueger, R. , and Field, F. , 1989, “ A Systems Approach to the Evaluation of Packaging Design Alternatives,” Int. J. Hybrid Microelectron., 12(2), pp. 102–110.
Sandborn, P. A. , 1998, “ Analyzing Packaging Trade-Offs During System Design,” IEEE Des. Test Comput., 15(3), pp. 10–19. [CrossRef]
Index Mundi, 2016, “ Jet Fuel Daily Price,” U.S. Energy Information Administration, Washington, DC, accessed July 31, 2015, http://www.indexmundi.com/commodities/?commodity=jet-fuel&months=180
Boeing, 2016, “ Airplane Characteristics for Airport Planning,” Airport Compatibility, Boeing, Inc., Seal Beach, CA, accessed June 30, 2016, http://www.boeing.com/commercial/airports/plan_manuals.page
Anderson, D. , 2006, “ Fuel Conservation: Operational Procedures for Environmental Performance,” Boeing Commercial Airplanes, Seattle, WA, accessed June 30, 2016, http://www.icao.int/meetings/environmentalworkshops/documents/icao-transportcanada-2006/anderson_ops.pdf
General Electric, GrabCAD, 2013, “ GE Engine Bracket Challenge,” GrabCAD, General Electric, Cambridge, MA, accessed June 30, 2016, https://grabcad.com/challenges/ge-jet-engine-bracket-challenge
United States Securities and Exchange Commission, 2015, “ General Electric Form 10-K,” U.S. Securities and Exchange Commission, Washington, DC, accessed June 30, 2016, https://www.sec.gov/Archives/edgar/data/40545/000004054516000145/ge10k2015.htm
Vrancken, B. , Thijs, L. , Kruth, J. P. , and Van Humbeeck, J. , 2012, “ Heat Treatment of Ti6Al4V Produced by Selective Laser Melting: Microstructure and Mechanical Properties,” J. Alloys Compd., 541, pp. 177–185. [CrossRef]
Cammett, J. T. , Prevey, P. S. , and Jayaraman, N. , 2005, “ The Effect of Shot Peening Coverage on Residual Stress, Cold Work, and Fatigue in a Nickel-Base Superalloy,” ICSP-9, Paris, France.
U.S. Code (Federal Aviation Administration), “ Certification Procedures for Products and Parts: Changes in Quality System,” 14 C.F.R. Sec. 21.150.
Roca, J. B. , Fuchs, E. , Vaishnav, P. , Morgan, M. G. , and Mendonça, J. , 2016, When Risks Cannot Be Seen: Regulating Uncertainty in Emerging Technologies, Carnegie Mellon University, Pittsburgh, PA.
Fuchs, E. , 2016, “ Process-Based Cost Modeling: Interviewing for Inputs (Course 19-670/24-680 Quantitative Entrepreneurship: Paths to New Technology Commercialization),” Carnegie Mellon University, Pittsburgh, PA, Class Handout.
Moylan, S. , Slotwinski, J. , Cooke, A. , Jurrens, K. , and Donmez, M. A. , 2013, “ NIST Technical Note 1801: Lessons Learned in Establishing the NIST Metal Additive Manufacturing Laboratory,” NIST, U.S. Department of Commerce, Gaithersburg, MD.
Simonelli, M. , Tse, Y. Y. , and Tuck, C. , 2014, “ Effect of the Build Orientation on the Mechanical Properties and Fracture Modes of SLM Ti–6Al–4V,” Mater. Sci. Eng.: A, 616, pp. 1–11. [CrossRef]
Hrabe, N. , Kircher, R. , and Quinn, T. , 2012, “ Effects of Processing on Microstructure and Mechanical Properties of Ti-6Al-4V Fabricated Using Electron Beam Melting (EBM): Orientation and Location,” 23rd Solid Freeform Fabrication Symposium, Austin, TX, pp. 1045–1058.
United States Government Accountability Office, 2015, “ 3D Printing: Opportunities, Challenges, and Policy Implications of Additive Manufacturing,” Report No. GAO-15-505SP.
Gibson, I. , Rosen, D. , and Stucker, B. , 2014, Additive Manufacturing Technologies: 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing, 2nd ed., Springer, New York.


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Fig. 1

Jet fuel prices: 2000–2015 [30]

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Fig. 2

(a) Conventional engine bracket design [33] and (b) additive manufacturing engine bracket design [33], which boasts an approximately 80% weight reduction from the conventional design shown in Fig. 2(a)

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Fig. 3

AM model functionality for metal engine bracket. Both DMLS processes 1 and 2 follow the DMLS process flow.

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Fig. 4

EBM and DMLS appear to have significant overlap in cost given uncertainty, with forging cheaper across all APV. EBM exhibits a slightly narrower range of cost given best and worst case scenarios.

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Fig. 5

DMLS systems show significant cost overlap given uncertainty of best and worst case scenarios noted in Table 8A, which is available under the “Supplemental Materials” tab for this paper on the ASME Digital Collection. Forging remains cheaper by small margin.

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Fig. 6

(a) Cross section of base case cost at APV of 10,000 brackets indicates that material and machine price both have strong impact on EBM; material the primary driver of DMLS cost. (b) Unit cost breakdowns at low volumes (1000 APV) show an increase in the proportion of cost driven by equipment price for the AM manufactured bracket, a result of the nondedication in the AM manufacturing process.

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Fig. 7

Sensitivity analysis of individual cost drivers on base case scenario at 10,000 APV indicates that batch size, build time and orientation (all inextricably linked) significantly impact cost for both technologies

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Fig. 8

Given uncertainties, destructive testing shows some possibility of additional cost reduction (approximately $150 at APV for DMLS 1). Building parts vertically provides an additional ∼$260 of savings, through vertical build may not offer optimal mechanical properties.

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Fig. 9

Over 10 yr, AM bracket may yield anywhere between $400 and $3000 in cost savings due to weight reduction achieved by the additive design based on best and worst fuel prices over last 15 yr

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Fig. 10

Building parts vertically offers significant cost savings, but vertical build orientation may negatively impact mechanical properties




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