Multi-objective optimization of a CRDI assisted diesel engine with predictive regression model developed by uniform design

DOI

10.2991/wartia-16.2016.211How to use a DOI?

Keywords

Engine performance, Exhaust emission, Uniform design, Prediction, Optimization.

Abstract

This paper is dedicated to find a unique solution for the optimization of engine performance and emissions which have a trade-off between NOx-soot-BSFC. To develop regression models for engine performance and emissions, multiple nonlinear regression with uniform design is employed. And the accuracy of the predictive models has revealed the good performance and high efficiency of uniform design. The multi-objective optimization with weighted sum method is conducted for multi-objective optimization and weights which represent relative importance of different objective can be suitably varied to meet the different desire of engine designers. Finally, four optimization objectives have conducted and validated which confirmed the feasible of this optimization approach.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - XiaoXiao Niu
AU  - Zhengxiang Wang
AU  - Yinyan Wang
AU  - Yang Song
PY  - 2016/05
DA  - 2016/05
TI  - Multi-objective optimization of a CRDI assisted diesel engine with predictive regression model developed by uniform design
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 992
EP  - 1000
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.211
DO  - 10.2991/wartia-16.2016.211
ID  - Niu2016/05
ER  -