
@Article{icces.2023.09085,
AUTHOR = {Sinuo Zhang, Daicong Da, Yingjun Wang},
TITLE = {TPMS-Based	Topology	Optimization	Design	with	Multiple	Materials	via MMC	Method},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {26},
YEAR = {2023},
NUMBER = {2},
PAGES = {1--2},
URL = {http://www.techscience.com/icces/v26n2/54036},
ISSN = {1933-2815},
ABSTRACT = {Topology	optimization	(TO)	designs	involving	multiple	materials	suffer	either	difficult	interface	modeling	
or	 finding	 physically	 meaningful	transition	 domains	 with	 an	 accurate	 structural	 representation.	 Simple	
interpolation	approaches	are	usually	used	in	multi-material	designs	to	represent	the	overlapped	regions	of	
different	 materials,	 which	 cannot	 solve	 either	 of	 these	 problems.	 In	 this	 paper,	 a	 moving	 morphable	
component	(MMC)-based	TO	is	developed	to	overcome	this	issue	by	leveraging	the	triply	periodic	minimal	
surfaces	 (TPMS).	 The	 TMPS-based	 architecture	 will	 serve	 as	 the	 infilling	 microstructure	 to	 accurately	
represent	the	overlapped	domains	of	different	materials.	A	TPMS	function	interpolation	scheme	is	used	to	
generate	new	microstructures	for	the	overlapped	region,	which	allows	a	direct	combination	of	the	topology	
description	for	multiple	architected	materials	and	the	configuration	of	the composed	TPMSs.	The	properties	
of	 the	new	microstructures	are	consistent	with	material	properties	of	overlapped	regions.	The	proposed	
method	 reaches	 the	 effect	 that	 the	 TPMS	microstructure	 of	 the	 overlapping	 regions	 can	 always	 be	 well	
defined	and	unambiguously	represented	during	the	TO.	Three	numerical	examples	and	a	3D	printing	model	
of	 an	 optimized	 geometry	 are	 reported	 to	 demonstrate	 the	 effectiveness	 and	 efficiency	 of	 the	 proposed	
approach.	An	engineering	case	is	presented	to	verify	the	applicability	of	the	proposed	method	in	practical	
engineering.	 Comparing	 to	 conventional	 methods,	 the	 proposed	 method	 is	 capable	 to	 generate	 exact	
microstructures	 with	 equivalent	 properties	 in	 overlapped	 regions,	 which	 successfully	 facilitates	
manufacturing	and	avoids	the	discontinuity	and	high	stress	concentrations	caused	by	the	microstructure	
mismatch	in	conventional	methods.},
DOI = {10.32604/icces.2023.09085}
}



