2015Unpublished venueRequires access

Volumetric efficiency of the diesel engine optimized design based on multiple factors

Yuhao Huang

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Abstract

Diesel volumetric efficiency optimization is a variable mutual coupling system problem a lot of randomness [1, 2]. Currently in the diesel engine, volumetric efficiency optimization study is more of a system or component to optimize the diesel engine or diesel engine based on the experience of several systems while improving [3], using the method of experimental design improvements to optimize volumetric efficiency of the multi-factor has not been made public. In fact, a single system or component optimization and experience optimal results often only meet the design requirements of the feasibility of the program, and may not be the optimal solution [3, 4].

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What this paper is about

Diesel volumetric efficiency optimization is a variable mutual coupling system problem a lot of randomness [1, 2]. Currently in the diesel engine, volumetric efficiency optimization study is more of a system or component to optimize the diesel engine or diesel engine based on the experience of several systems while improving [3], using the method of experimental design improvements to optimize volumetric efficiency of the multi-factor has not been made public. In fact, a single system or component optimization and experience optimal results often only meet the design requirements of the feasibility of the program, and may not be the optimal solution [3, 4].

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Available abstract

Diesel volumetric efficiency optimization is a variable mutual coupling system problem a lot of randomness [1, 2]. Currently in the diesel engine, volumetric efficiency optimization study is more of a system or component to optimize the diesel engine or diesel engine based on the experience of several systems while improving [3], using the method of experimental design improvements to optimize volumetric efficiency of the multi-factor has not been made public. In fact, a single system or component optimization and experience optimal results often only meet the design requirements of the feasibility of the program, and may not be the optimal solution [3, 4].

Key concepts: Diesel engine, Automotive engineering, Diesel fuel, Environmental science, Process engineering, Computer science, Engineering

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