摘要
为了解决传统发动机再制造生产活动效率较低、耗时耗材多、修复质量难以把握等问题,需要提前预测废旧发动机性能退化状况,在产品报废之前、性能退化之后对其进行再制造。本研究以EA2111.4L新桑塔纳汽车发动机为研究对象,采用产品生命周期评价(LCA)与全生命周期成本(LCC)理论,将发动机生命周期成本和能耗作为影响再制造时间点的两个重要因素,建立生命周期能耗和成本与服役周期的映射函数关系,利用多目标优化方法及遗传算法确定发动机最佳再制造时间点,最终得到EA2111.4L新桑塔纳汽车发动机的最佳再制造时间点为6.42 a。本方法为废旧发动机及相关产品提供了的再制造时间点的量化参考,为汽车产业进一步降低能源消耗、节省成本、减少环境污染提供理论支持。
In order to solve the problems of low efficiency, more time and material consumption, as well as difficult control of repair quality for traditional engine remanufacturing, it is necessary to predict the degradation situation of the waste engine, and perform remanufacturing before the product scrap and after the performance degradation. An EA2111.4 L new Santana car engine is taken as the case study, life cycle assessment(LCA) and life cycle cost(LCC) theories are employed to analyze the life cycle cost and energy consumption of the engine firstly, which as the two important factors influencing the remanufacturing time point, then the mapping function model of life cycle energy/cost consumption and service cycle is established, and by the method of multi-objective optimization and genetic algorithm, the best time point of engine remanufacturing is determined finally, eventually got the optimal remanufacturing time point of EA2111.4 L new Santana engine is 6.42 years. This method provides a quantitative reference of remanufacturing time point for the waste engine and related products, and also provides theoretical support for the automobile industry to further reduce energy consumption, save costs and reduce environmental pollution.
作者
时君丽
王怀志
马名扬
范中伟
范庆月
张萌
李成根
SHI Junli;WANG Huaizhi;MA Mingyang;FAN Zhongwei;FAN Qingyue;ZHANG Meng;LI Chenggen(School of Mechanical Engineering and Automation,Dalian Polytechnic University,Dalian 116034,China)
出处
《大连工业大学学报》
CAS
北大核心
2019年第6期459-463,共5页
Journal of Dalian Polytechnic University
基金
辽宁省自然科学基金指导计划项目(20170540080)
