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선형 회귀 분석과 회색 관계 분석을 이용한 디젤엔진의 다단연료분사 제어전략 최적화 연구A Study on the Optimization of Multiple Injection Strategy for a Diesel Engine using Grey Relational Analysis and Linear Regression Analysis

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A Study on the Optimization of Multiple Injection Strategy for a Diesel Engine using Grey Relational Analysis and Linear Regression Analysis
Authors
김수겸우승철김웅일박상기이기형
Issue Date
Dec-2015
Publisher
한국분무공학회
Keywords
Multiple Injection; Calibration; Design of Experiment; Exhaust Emission; 다단분사; 교정; 실험계획법; 배기배출물
Citation
한국분무공학회지, v.20, no.4, pp.247 - 253
Indexed
KCI
Journal Title
한국분무공학회지
Volume
20
Number
4
Start Page
247
End Page
253
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/19311
DOI
10.15435/JILASSKR.2015.20.4.247
ISSN
1226-2277
Abstract
Recently, the engine calibration technique has been much more complicated than that of the past engine case in order to satisfy the strict emission regulations. The current calibration method for the diesel engine which has an increasing market is both costly and time-consuming. New engine calibration method is required to develop for high-quality diesel engines with low cost and release it at the appropriate time. This study provides the optimal calibrating technique for complex engine systems using statistical modeling and numerical optimization. Firstly, it design a test plan based on Design of Experiments, a V-optimality methodology which is suitable looking for set-points, and determine the shape of test engine response. Secondly, it uses functions to make linear regression model for data analysis and optimization to fit the models of engines behavior. Finally, it generates the optimal calibra- tions obtained directly from empirical engine models using Grey Relational Analysis and compares the calibrations with data. This method can develop a process for systematically identifying the optimal balance of engine emissions.
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF MECHANICAL ENGINEERING > 1. Journal Articles

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LEE, KI HYUNG
ERICA 공학대학 (DEPARTMENT OF MECHANICAL ENGINEERING)
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