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A multi-objective and multi-parameter optimization is implemented to design the optimal structure of bismuth-telluride-based TEG (thermoelectric generator) module.
Then, taking the optimal lamination parameters as the design objective, a detailed layup design optimization is implemented by considering some limitations on manufacturing, such as preset ply thickness, and specific fiber orientation angle and a limited maximum number of consecutive plies in the same fiber orientation.
The topology optimization is implemented using the common solid isotropic material with penalization (SIMP) method.
In the 2nd phase, thickness optimization is implemented after shape optimization to decrease the compliance further.
Based on particle swarm optimization (PSO), a multi-objective optimization is implemented.
Only one-dimensional optimization is implemented in each iteration of ODOCP.
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Two measures for optimization were implemented and investigated on-site.
The SVM optimization was implemented using LIBSVM library through its Matlab interface [48].
The detection and the optimization are implemented separately in this work.
A strategy of evolutionary optimization was implemented to iteratively improve allosteric coupling.
The performance visualization, finite element analysis, and dimensional optimization are implemented.
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