|
|
An identification method for enclosed voids restriction in manufacturability design for additive manufacturing structures |
Shutian LIU1,*( ),Quhao LI1,Wenjiong CHEN1,Liyong TONG1,2,Gengdong CHENG1 |
1. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116024, China 2. School of Aerospace, Mechanical and Mechatronic Engineering, University of Sydney, NSW 2006, Australia |
|
|
Abstract Additive manufacturing (AM) technologies, such as selective laser sintering (SLS) and fused deposition modeling (FDM), have become the powerful tools for direct manufacturing of complex parts. This breakthrough in manufacturing technology makes the fabrication of new geometrical features and multiple materials possible. Past researches on designs and design methods often focused on how to obtain desired functional performance of the structures or parts, specific manufacturing capabilities as well as manufacturing constraints of AM were neglected. However, the inherent constraints in AM processes should be taken into account in design process. In this paper, the enclosed voids, one type of manufacturing constraints of AM, are investigated. In mathematics, enclosed voids restriction expressed as the solid structure is simply-connected. We propose an equivalent description of simply-connected constraint for avoiding enclosed voids in structures, named as virtual temperature method (VTM). In this method, suppose that the voids in structure are filled with a virtual heating material with high heat conductivity and solid areas are filled with another virtual material with low heat conductivity. Once the enclosed voids exist in structure, the maximum temperature value of structure will be very high. Based upon this method, the simply-connected constraint is equivalent to maximum temperature constraint. And this method can be easily used to formulate the simply-connected constraint in topology optimization. The effectiveness of this description method is illustrated by several examples. Based upon topology optimization, an example of 3D cantilever beam is used to illustrate the trade-off between manufacturability and functionality. Moreover, the three optimized structures are fabricated by FDM technology to indicate further the necessity of considering the simply-connected constraint in design phase for AM.
|
Keywords
additive manufacturing, topology optimization, manufacturability constraints, design for additive manufacturing, simply-connected constraint
|
Corresponding Author(s):
Shutian LIU
|
Online First Date: 24 June 2015
Issue Date: 14 July 2015
|
|
1 |
Kruth J P, Leu M C, Nakagawa T. Progress in additive manufacturing and rapid prototyping. CIRP Annals-Manufacturing Technology, 1998, 47(2): 525–540
https://doi.org/10.1016/S0007-8506(07)63240-5
|
2 |
Gibson I, Rosen D W, Stucker B. Additive Manufacturing Technologies. New York: Springer, 2010
https://doi.org/10.1007/978-1-4419-1120-9
|
3 |
Murr L E, Gaytan S M, Ramirez D A, . Metal fabrication by additive manufacturing using laser and electron beam melting technologies. Journal of Materials Science and Technology, 2012, 28(1): 1–14
https://doi.org/10.1016/S1005-0302(12)60016-4
|
4 |
Gu D, Meiners W, Wissenbach K, . Laser additive manufacturing of metallic components: Materials, processes and mechanisms. International Materials Reviews, 2012, 57(3): 133–164
https://doi.org/10.1179/1743280411Y.0000000014
|
5 |
Turner B N, Strong R, Gold S A. A review of melt extrusion additive manufacturing processes: I. Process design and modeling. Rapid Prototyping Journal, 2014, 20: 192–204
https://doi.org/10.1108/RPJ-01-2013-0012
|
6 |
Kim D S, Bae S W, Choi K H. Development of industrial SFF system using dual laser and optimal process. Robotics and Computer-Integrated Manufacturing, 2007, 23(6): 659–666
https://doi.org/10.1016/j.rcim.2007.02.007
|
7 |
Kruth J, Vandenbroucke B, van Vaerenbergh J, . Digital manufacturing of biocompatible metal frameworks for complex dental prostheses by means of SLS/SLM. In: Proceedings of Virtual Prototyping and Rapid Manufacturing-Advanced Research in Virtual and Rapid Prototyping, Taylor & Francis. London, 2005, 139–146
|
8 |
Rosen D. Design for additive manufacturing: Past, present, and future directions. Journal of Mechanical Design, 2014, 136(9): 090301
https://doi.org/10.1115/1.4028073
|
9 |
Sigmund O, Maute K. Topology optimization approaches. Structural and Multidisciplinary Optimization, 2013, 48(6): 1031–1055
https://doi.org/10.1007/s00158-013-0978-6
|
10 |
Cheng K T, Olhoff N. An investigation concerning optimal design of solid elastic plates. International Journal of Solids and Structures, 1981, 17(3): 305–323
https://doi.org/10.1016/0020-7683(81)90065-2
|
11 |
Bends?e M P, Kikuchi N. Generating optimal topologies in structural design using a homogenization method. Computer Methods in Applied Mechanics and Engineering, 1988, 71(2): 197–224
https://doi.org/10.1016/0045-7825(88)90086-2
|
12 |
Zhou M, Rozvany G. The COC algorithm, Part II: Topological, geometrical and generalized shape optimization. Computer Methods in Applied Mechanics and Engineering, 1991, 89(1–3): 309–336
https://doi.org/10.1016/0045-7825(91)90046-9
|
13 |
Bends?e M P, Sigmund O. Material interpolation schemes in topology optimization. Archive of Applied Mechanics, 1999, 69(9–10): 635–654
https://doi.org/10.1007/s004190050248
|
14 |
Allaire G, Jouve F, Toader A M. A level-set method for shape optimization. Comptes Rendus Mathematique, 2002, 334(12): 1125–1130
https://doi.org/10.1016/S1631-073X(02)02412-3
|
15 |
Wang M Y, Wang X, Guo D. A level set method for structural topology optimization. Computer Methods in Applied Mechanics and Engineering, 2003, 192(1–2): 227–246
https://doi.org/10.1016/S0045-7825(02)00559-5
|
16 |
Xie Y, Steven G P. A simple evolutionary procedure for structural optimization. Computers & Structures, 1993, 49(5): 885–896
https://doi.org/10.1016/0045-7949(93)90035-C
|
17 |
Sokolowski J, Zochowski A. Topological derivative in shape optimization. In: Floudas C A, Pardalos P M, eds. Encyclopedia of Optimization. New York: Springer, 2009, 3908–3918
|
18 |
Sobieszczanski-Sobieski J, Haftka R T. Multidisciplinary aerospace design optimization: Survey of recent developments. Structural Optimization, 1997, 14(1): 1–23
https://doi.org/10.1007/BF01197554
|
19 |
Bendsoe M P, Sigmund O. Topology Optimization: Theory, Methods and Applications. Berlin: Springer, 2004
|
20 |
Zhang Y, Liu S. Design of conducting paths based on topology optimization. Heat and Mass Transfer, 2008, 44(10): 1217–1227
https://doi.org/10.1007/s00231-007-0365-1
|
21 |
Zhu J, Zhang W, Beckers P. Integrated layout design of multi-component system. International Journal for Numerical Methods in Engineering, 2009, 78(6): 631–651
https://doi.org/10.1002/nme.2499
|
22 |
Sigmund O. Tailoring materials with prescribed elastic properties. Mechanics of Materials, 1995, 20(4): 351–368
https://doi.org/10.1016/0167-6636(94)00069-7
|
23 |
Nomura T, Nishiwaki S, Sato K, et al. Topology optimization for the design of periodic microstructures composed of electromagnetic materials. Finite Elements in Analysis and Design, 2009, 45(3): 210–226
https://doi.org/10.1016/j.finel.2008.10.006
|
24 |
Radman A, Huang X, Xie Y. Topological optimization for the design of microstructures of isotropic cellular materials. Engineering Optimization, 2013, 45(11): 1331–1348
https://doi.org/10.1080/0305215X.2012.737781
|
25 |
Larsen U D, Sigmund O, Bouwstra S. Design and fabrication of compliant micromechanisms and structures with negative Poisson’s ratio. In: Proceedings of Micro Electro Mechanical Systems, the Ninth Annual International Workshop on an Investigation of Micro Structures, Sensors, Actuators, Machines and Systems. San Diego: IEEE, 1996, 365–371
|
26 |
Chen W, Liu S. Topology optimization of microstructures of viscoelastic damping materials for a prescribed shear modulus. Structural and Multidisciplinary Optimization, 2014, 50(2): 287–296
https://doi.org/10.1007/s00158-014-1049-3
|
27 |
Andreassen E, Lazarov B S, Sigmund O. Design of manufacturable 3D extremal elastic microstructure. Mechanics of Materials, 2014, 69(1): 1–10
https://doi.org/10.1016/j.mechmat.2013.09.018
|
28 |
Brackett D, Ashcroft I, Hague R. A dithering based method to generate variable volume lattice cells for additive manufacturing. In: 22nd Annual international solid freeform fabrication symposium. 2011, 671–679
|
29 |
Aremu A, Ashcroft I, Hague R, . Suitability of SIMP and BESO topology optimization algorithms for additive manufacture. In: 21st Annual International Solid Freeform Fabrication Symposium (SFF)—An Additive Manufacturing Conference. 2010, 679–692
|
30 |
Gaynor A T, Meisel N A, Williams C B, . Multiple material topology optimization of compliant mechanisms created via polyJet 3D printing. Journal of Manufacturing Science and Engineering, 2014, 136(6): 061015
https://doi.org/10.1115/1.4028439
|
31 |
Hu Y, Blouin V Y, Fadel G M. Design for manufacturing of 3D heterogeneous objects with processing time consideration. Journal of Mechanical Design, 2008, 130(3): 031701
https://doi.org/10.1115/1.2829894
|
32 |
Tomlin M, Meyer J. Topology optimization of an additive layer manufactured (ALM) aerospace part. In: Proceedings of 7th Altair CAE Technology Conference. 2011
|
33 |
Vayre B, Vignat F, Villeneuve F. Designing for additive manufacturing. Procedia CIRP, 2012, 3: 632–637
https://doi.org/10.1016/j.procir.2012.07.108
|
34 |
Diegel O, Singamneni S, Reay S, . Tools for sustainable product design: Additive manufacturing. Journal of Sustainable Development, 2010, 3(3): 68–75
https://doi.org/10.5539/jsd.v3n3p68
|
35 |
Kruth J P, Mercelis P, van Vaerenbergh J, . Binding mechanisms in selective laser sintering and selective laser melting. Rapid Prototyping Journal, 2005, 11(1): 26–36
https://doi.org/10.1108/13552540510573365
|
36 |
Zein I, Hutmacher D W, Tan K C, . Fused deposition modeling of novel scaffold architectures for tissue engineering applications. Biomaterials, 2002, 23(4): 1169–1185
https://doi.org/10.1016/S0142-9612(01)00232-0
pmid: 11791921
|
37 |
Hutmacher D W, Schantz T, Zein I, . Mechanical properties and cell cultural response of polycaprolactone scaffolds designed and fabricated via fused deposition modeling. Journal of Biomedical Materials Research, 2001, 55(2): 203–216
https://doi.org/10.1002/1097-4636(200105)55:2<203::AID-JBM1007>3.0.CO;2-7
pmid: 11255172
|
38 |
Myers S B. Connections between differential geometry and topology. I. Simply connected surfaces. Duke Mathematical Journal, 1935, 1(3): 376–391
https://doi.org/10.1215/S0012-7094-35-00126-0
|
39 |
Bondy J A, Murty U S R. Graph Theory with Applications. London: Macmillan, 1976
|
40 |
Golumbic M C. Algorithmic Graph Theory and Perfect Graphs. 2nd. North Holland, 2004
|
41 |
West D B. Introduction to Graph Theory. Upper Saddle River: Prentice hall, 2001
|
42 |
Korf R E. Depth-first iterative-deepening: An optimal admissible tree search. Artificial Intelligence, 1985, 27(1): 97–109
https://doi.org/10.1016/0004-3702(85)90084-0
|
43 |
Zhou R, Hansen E A. Breadth-first heuristic search. Artificial Intelligence, 2006, 170(4–5): 385–408
https://doi.org/10.1016/j.artint.2005.12.002
|
44 |
Bader D A, Madduri K. Designing multithreaded algorithms for breadth-first search and st-connectivity on the Cray MTA-2. In: International Conference on Parallel Processing. Columbus: IEEE, 2006, 523–530
https://doi.org/10.1109/ICPP.2006.34
|
45 |
Gabow H N, Tarjan R E. A linear-time algorithm for a special case of disjoint set union. In: Proceedings of the Fifteenth Annual ACM Symposium on Theory of Computing. Baltimore: ACM, 1983, 246–251
|
46 |
Tarjan R E. Efficiency of a good but not linear set union algorithm. Journal of the ACM, 1975, 22(2): 215–225
https://doi.org/10.1145/321879.321884
|
47 |
Dhatt G, Lefran?ois E, Touzot G. Finite Element Method. New York: John Wiley & Sons, 2012
|
48 |
Bathe K J. Finite element method. In: Wah B W, ed. Wiley encyclopedia of computer science and engineering. New York: John Wiley & Sons, 2008, 1–12
|
49 |
Raithby G, Chui E. A finite-volume method for predicting a radiant heat transfer in enclosures with participating media. Journal of Heat Transfer, 1990, 112(2): 415–423
https://doi.org/10.1115/1.2910394
|
50 |
Liszka T, Orkisz J. The finite difference method at arbitrary irregular grids and its application in applied mechanics. Computers & Structures, 1980, 11(1–2): 83–95
https://doi.org/10.1016/0045-7949(80)90149-2
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|