Comparison and combination of NLPQL and MOGA algorithms for a marine medium-speed diesel engine optimisation

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• 作者：Nao Hu^a ; ^b ; ^{nao.hu.0128@gmail.com} ; Peilin Zhou^a ; Jianguo Yang^b ; ^c
• 关键词：Comparison ; Combination ; NLPQL ; MOGA ; RSM
• 刊名：Energy Conversion and Management
• 出版年：2017
• 出版时间：1 February 2017
• 年：2017
• 卷：133
• 期：Complete
• 页码：138-152
• 全文大小：5734 K
• 卷排序：133

文摘

NLPQL algorithm is not effective when used for seven engine parameters optimisation. MOGA algorithm is time consuming but offers broader and finer solutions. A better design is offered by NLPQL algorithm when using a start point from MOGA. SOI has the dominant and clearly opposite effects on NOx and SFOC. Late injection, low swirl and large spray angle can lower NOx and soot simultaneously.