SAE International Investigation of Tradeoffs between Efficiency, Mass, Cost, Service Factor, and Power Factor in Induction Machines 2010-01-1785

Description
The focus of this research is to perform a detailed investigation of the tradeoffs between mass, efficiency, service factor (SF), power factor (PF), and cost of commercially available induction machines (IMs). To support this effort, data from a large number of IMs is used to establish Pareto-optimal fronts between these competing objectives. From the Pareto-optimal fronts, relatively straightforward models are formulated for the mass versus loss, cost versus loss, SF versus mass, PF versus cost. Parameters of the models are obtained using a genetic algorithm (GA).
Description
The focus of this research is to perform a detailed investigation of the tradeoffs between mass, efficiency, service factor (SF), power factor (PF), and cost of commercially available induction machines (IMs). To support this effort, data from a large number of IMs is used to establish Pareto-optimal fronts between these competing objectives. From the Pareto-optimal fronts, relatively straightforward models are formulated for the mass versus loss, cost versus loss, SF versus mass, PF versus cost. Parameters of the models are obtained using a genetic algorithm (GA).

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Investigation of Tradeoffs between Efficiency, Mass, Cost, Service Factor, and Power Factor in Induction Machines - 2010-01-1785 - SAE International
Warrendale, PA, United States
Investigation of Tradeoffs between Efficiency, Mass, Cost, Service Factor, and Power Factor in Induction Machines
2010-01-1785
Investigation of Tradeoffs between Efficiency, Mass, Cost, Service Factor, and Power Factor in Induction Machines 2010-01-1785
The focus of this research is to perform a detailed investigation of the tradeoffs between mass, efficiency, service factor (SF), power factor (PF), and cost of commercially available induction machines (IMs). To support this effort, data from a large number of IMs is used to establish Pareto-optimal fronts between these competing objectives. From the Pareto-optimal fronts, relatively straightforward models are formulated for the mass versus loss, cost versus loss, SF versus mass, PF versus cost. Parameters of the models are obtained using a genetic algorithm (GA).

The focus of this research is to perform a detailed investigation of the tradeoffs between mass, efficiency, service factor (SF), power factor (PF), and cost of commercially available induction machines (IMs). To support this effort, data from a large number of IMs is used to establish Pareto-optimal fronts between these competing objectives. From the Pareto-optimal fronts, relatively straightforward models are formulated for the mass versus loss, cost versus loss, SF versus mass, PF versus cost. Parameters of the models are obtained using a genetic algorithm (GA).

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Technical Specifications

  SAE International
Product Category Standards and Technical Documents
Product Number 2010-01-1785
Product Name Investigation of Tradeoffs between Efficiency, Mass, Cost, Service Factor, and Power Factor in Induction Machines
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