Evolutionary topology optimization for temperature reduction of heat conducting fields |
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Authors: | Qing Li Grant P. Steven Osvaldo M. Querin |
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Affiliation: | a School of Engineering, James Cook University, Townsville, QLD 4811, Australia b G+D Computing, Suite 1, Level 7, 541 Kent St., Sydney, NSW 2000, Australia c School of Civil and Chemical Engineering, Royal Melbourne Institute of Technology, GPO Box 2476V, Melbourne, Vic 3001, Australia d School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, UK |
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Abstract: | This paper aims at developing an efficient finite element based computational procedure for the topology design of heat conducting fields. To evaluate the temperature change in a specific position, due to varying the conducting material distribution in other regions, a discrete temperature sensitivity is derived for an evolutionary topology optimization method. In the topology optimization of the conducting fields, the thermal conductivity of an individual finite element is considered as the design variable. By removing or degenerating the conductive material of the elements with the most negative sensitivity, the temperature objective at the control point can be most efficiently reduced. Illustrative examples are presented to demonstrate this proposed approach. |
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Keywords: | Topology optimization Sensitivity analysis Finite element Heat transfer Conductive field |
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