Page 77 - MSAM-2-4
P. 77
Materials Science in Additive Manufacturing Base shape generation for HAM
41. Eldakroury MA, Chen N, Frank MC, 2018, A new method 45. Lee TC, Kashyap RL, Chu CN, 1994, Building skeleton
for locating candidate substrates for multi axis hybrid models via 3-D medial surface axis thinning algorithms.
manufacturing systems. Rapid Prototyp J, 24: 237–248. CVGIP Graph Models Image Process, 56: 462–478.
https://doi.org/10.1108/rpj-12-2016-0213 https://doi.org/10.1006/cgip.1994.1042
42. Chen N, Frank M, 2019, Process planning for hybrid additive 46. Schmitt LM, 2001, Theory of genetic algorithms. Theor
and subtractive manufacturing to integrate machining and Comput Sci, 259: 1-61.
directed energy deposition. Procedia Manuf, 34: 205–213.
https://doi.org/10.1016/S0304-3975(00)00406-0
https://doi.org/10.1016/j.promfg.2019.06.140
47. Cichocka JM, Migalska A, Browne WN, et al., 2017,
43. Reichler AK, Gerbers R, Falkenberg P, et al., 2019, SILVEREYE-the Implementation of particle swarm
Incremental manufacturing: Model-based part design optimization algorithm in a design optimization tool. In:
and process planning for hybrid manufacturing of multi- Computer-Aided Architectural Design. Future Trajectories.
material parts. Procedia CIRP, 79: 107–112. Singapore: Springer. p. 151–169.
https://doi.org/10.1016/j.procir.2019.02.020 48. Lynch ME, Gu W, El-Wardany T, et al., 2013, Design and
topology/shape structural optimisation for additively
44. Patil S, Ravi B, 2005, Voxel-based representation, display and
thickness analysis of intricate shapes. In: Ninth International manufactured cold sprayed components. Virtual Phys
Conference on Computer Aided Design and Computer Prototyp, 8: 213–231.
Graphics (CAD-CG’05), Hong Kong, China: IEEE. https://doi.org/10.1080/17452759.2013.837629
Volume 2 Issue 4 (2023) 14 https://doi.org/10.36922/msam.2103

