柴油机在线监测与主动再制造时机预测模型  

The On-line Monitoring and Active Remanufacturing Opportunity Prediction Model of Diesel Engine

作　　者：占加林 朱华炳[2] 高晨辉 杨兵[1] 周福静 ZHAN Jia-lin(School of Mechanical Engineering,Anhui Vocational and Technical College,Hefei 230009,China)

机构地区：[1]安徽职业技术学院机械工程学院,合肥230009 [2]合肥工业大学机械工程学院,合肥230009 [3]安徽思普泰克智能制造科技有限公司,安徽滁州239000

出　　处：《长春工程学院学报（自然科学版）》2022年第1期55-58,70,共5页Journal of Changchun Institute of Technology：Natural Sciences Edition

基　　金：国家重点基础研究发展计划(973计划,2011CB013406);国家自然科学基金(51375133,51305119);安徽省教育厅关于2021年度高校科学研究项目(KJ2021A1444);2020年安徽省高校优秀青年人才支持计划项目(gxyq2020108);2020年安徽职业技术学院校级科技工程项目(azy2020kj07)。

摘　　要：针对目前主动再制造研究中仍存在的问题,提出主动再制造的灰色预测理论,通过构造灰色模型来预测系统的发展规律。对R175型柴油机曲轴开展研究,建立了柴油机的主动再制造在线监测试验台与工况模拟试验台架;对耗油率试验的数据进行指数函数拟合,预测出曲轴磨损量达到极限值所用的时间,确定曲轴的最佳再制造点;最后对曲轴磨损—油耗试验进行二次函数拟合,得出耗油率与曲轴磨损量的映射关系。验证了主动再制造预测模型及其在线监测方法的有效性。For the existing issue in the active remanufacturing research at present,the grey prediction theory of active remanufacturing,in which grey model is constructed to predict the law of development of the system,is presented.The crankshaft of R175 diesel engine is studied,firstly,the establishment of the on-line monitoring of diesel engine test bench and diesel engine working condition simulation test bench.Secondly,the exponential function fitting of data on fuel consumption tests is carried out to predict the limit time required for crankshaft wear and determine the optimal remanufacturing of the crankshaft.Finally,the crankshaft wear-fuel consumption test obtains the mapping relationship between the fuel consumption and the wear of the crankshaft by means of the quadratic function fitting.The active remanufacturing prediction model and the effectiveness of the on-line monitoring method is verified.

关 键 词：主动再制造 灰色预测 最佳再制造点 二次函数拟合 映射关系 

分 类 号：TH122[机械工程—机械设计及理论]