This article broadens the scheme previously developed to associate topology optimization with additive manufacturing through the use of a virtual skeleton, consisting in solving the same physical problem with a discrete approach and then with a continuum one. This procedure for 3D designs is applied to various domain geometries, to demonstrate its pertinence on high-resolution industrial cases. An algorithm searching for the best printing direction, exploring the solid angle, is also described and validated; the surface-shaped presentation of the result allows immediate understanding of the influence of the discrete problem parameters, while its running time is much lower than a unique continuum optimization simulation, which proves the attractiveness of the method. In the three examples studied, the procedure outputs exhibit greater printability than the ones produced by traditional methods in each of the printing direction tested, albeit responsibility is left to the final user to choose his best trade-off. Furthermore, the unprintable zones are readily displayed to be either reworked or supported. Explanations about increase of convergence likelihood on discrete structures despite the geometry complexity of an industrial application are also provided and demonstrated.
Accepted:
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Yoram Mass 1; Oded Amir 1
@article{CRMECA_2018__346_11_1104_0, author = {Yoram Mass and Oded Amir}, title = {Using a virtual skeleton to increase printability of topology optimized design for industry-class applications}, journal = {Comptes Rendus. M\'ecanique}, pages = {1104--1121}, publisher = {Elsevier}, volume = {346}, number = {11}, year = {2018}, doi = {10.1016/j.crme.2018.08.005}, language = {en}, }
TY - JOUR AU - Yoram Mass AU - Oded Amir TI - Using a virtual skeleton to increase printability of topology optimized design for industry-class applications JO - Comptes Rendus. Mécanique PY - 2018 SP - 1104 EP - 1121 VL - 346 IS - 11 PB - Elsevier DO - 10.1016/j.crme.2018.08.005 LA - en ID - CRMECA_2018__346_11_1104_0 ER -
%0 Journal Article %A Yoram Mass %A Oded Amir %T Using a virtual skeleton to increase printability of topology optimized design for industry-class applications %J Comptes Rendus. Mécanique %D 2018 %P 1104-1121 %V 346 %N 11 %I Elsevier %R 10.1016/j.crme.2018.08.005 %G en %F CRMECA_2018__346_11_1104_0
Yoram Mass; Oded Amir. Using a virtual skeleton to increase printability of topology optimized design for industry-class applications. Comptes Rendus. Mécanique, Volume 346 (2018) no. 11, pp. 1104-1121. doi : 10.1016/j.crme.2018.08.005. https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.1016/j.crme.2018.08.005/
[1] C.W. Hull, Apparatus for production of three-dimensional objects by stereolithography, US Patent 4,575,330, March 11, 1986.
[2] Fabricated: The New World of 3D Printing, John Wiley & Sons, 2013
[3] Laser additive manufacturing of metallic components: materials, processes and mechanisms, Int. Mater. Rev., Volume 57 (2012) no. 3, pp. 133-164
[4] Metal additive manufacturing: a review, J. Mater. Eng. Perform., Volume 23 (2014) no. 6, pp. 1917-1928
[5] Hardened properties of high-performance printing concrete, Cem. Concr. Res., Volume 42 (2012) no. 3, pp. 558-566
[6] Topology Optimization: Theory, Methods and Applications, Springer, Berlin, 2003
[7] Topology optimization for thermal insulation: an application to building engineering, Eng. Optim., Volume 43 (2011) no. 11, pp. 1223-1242
[8] Topology optimization of convection-dominated, steady-state heat transfer problems, Int. J. Heat Mass Transf., Volume 50 (2007) no. 15, pp. 2859-2873
[9] Topology optimisation for natural convection problems, Int. J. Numer. Methods Fluids, Volume 76 (2014) no. 10, pp. 699-721
[10] Bone tissue engineering using 3D printing, Mater. Today, Volume 16 (2013) no. 12, pp. 496-504
[11] et al. Additive Manufacturing Technologies, vol. 238, Springer, 2010
[12] Generating optimal topologies in structural design using a homogenization method, Comput. Methods Appl. Mech. Eng., Volume 71 (1988) no. 2, pp. 197-224
[13] Considering part orientation in design for additive manufacturing, Proc. CIRP, Volume 50 (2016), pp. 408-413
[14] Optimum part orientation in rapid prototyping using genetic algorithm, J. Manuf. Syst., Volume 31 (2012) no. 4, pp. 395-402
[15] Design for additive manufacturing: automated build orientation selection and optimization, Proc. CIRP, Volume 55 (2016), pp. 128-133
[16] The Development of Design Rules for Selective Laser Melting, University of Wales, UK, 2009 (PhD thesis)
[17] Topology optimization for additive manufacturing, Austin, TX, USA (2011), pp. 348-362
[18] Optimal topology for additive manufacture: a method for enabling additive manufacture of support-free optimal structures, Mater. Des., Volume 63 (2014), pp. 678-690
[19] Topology optimization for additive manufacturing: considering maximum overhang constraint, 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2014, pp. 16-20
[20] Topology optimization considering overhang constraints: eliminating sacrificial support material in additive manufacturing through design, Struct. Multidiscip. Optim., Volume 54 (2016) no. 5, pp. 1157-1172
[21] An additive manufacturing filter for topology optimization of print-ready designs, Struct. Multidiscip. Optim. (2016), pp. 1-13 | DOI
[22] Topology optimization of 3D self-supporting structures for additive manufacturing, Addit. Manuf. (2016) | DOI
[23] Continuous front propagation-based overhang control for topology optimization with additive manufacturing, Struct. Multidiscip. Optim. (2018), pp. 1-17 | DOI
[24] Self-supporting structure design in additive manufacturing through explicit topology optimization, Comput. Methods Appl. Mech. Eng., Volume 323 (2017), pp. 27-63
[25] Topology optimization for staged construction, Struct. Multidiscip. Optim. (2017), pp. 1-16 | DOI
[26] Structural optimization under overhang constraints imposed by additive manufacturing technologies, J. Comput. Phys., Volume 351 (2017), pp. 295-328
[27] Topology optimization for additive manufacturing: accounting for overhang limitations using a virtual skeleton, Addit. Manuf., Volume 18 (2017), pp. 58-73
[28] Support structure constrained topology optimization for additive manufacturing, Comput. Aided Des., Volume 81 (2016), pp. 1-13
[29] Undercut and overhang angle control in topology optimization: a density gradient based integral approach, Int. J. Numer. Methods Eng. (2017) | DOI
[30] Optimum Structures, Oxford University Press, 1973
[31] On projection methods, convergence and robust formulations in topology optimization, Struct. Multidiscip. Optim., Volume 43 (2011) no. 6, pp. 767-784
[32] Length scale and manufacturability in density-based topology optimization, Arch. Appl. Mech., Volume 86 (2016) no. 1, pp. 189-218
[33] Topology optimization of non-linear elastic structures and compliant mechanisms, Comput. Methods Appl. Mech. Eng., Volume 190 (2001) no. 26, pp. 3443-3459
[34] Filters in topology optimization, Int. J. Numer. Methods Eng., Volume 50 (2001) no. 9, pp. 2143-2158
[35] Optimal shape design as a material distribution problem, Struct. Optim., Volume 1 (1989) no. 4, pp. 193-202
[36] Design of materials with extreme thermal expansion using a three-phase topology optimization method, J. Mech. Phys. Solids, Volume 45 (1997) no. 6, pp. 1037-1067
[37] Parallel framework for topology optimization using the method of moving asymptotes, Struct. Multidiscip. Optim., Volume 47 (2013) no. 4, pp. 493-505
[38] On multigrid-cg for efficient topology optimization, Struct. Multidiscip. Optim., Volume 49 (2014) no. 5, pp. 815-829
[39] On filter boundary conditions in topology optimization, Struct. Multidiscip. Optim., Volume 56 (2017) no. 5, pp. 1147-1155
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