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Multi-physics optimization of a smart actuator for an automotive application
This paper describes a design framework for optimization of automotive mechatronic systems that uses analog simulations and evolutionary algorithms. We demonstrate the effectiveness of our methodology in sizing a complex actuator under multi-physic constraints. Our challenge was to design a compact...
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Main Authors: | , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | This paper describes a design framework for optimization of automotive mechatronic systems that uses analog simulations and evolutionary algorithms. We demonstrate the effectiveness of our methodology in sizing a complex actuator under multi-physic constraints. Our challenge was to design a compact exhaust gas recirculation (EGR) valve meeting the severe electrical, thermal, mechanical and magnetic requirements of the system. |
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DOI: | 10.1109/EPE.2015.7309129 |