面向回收再利用的多材料优化匹配研究

发布时间：2018-05-15 21:44

  本文选题：多材料选择 + 回收利用　； 参考：《湖南大学》2016年硕士论文

【摘要】：在汽车零部件的开发设计阶段,零件的选材是个非常重要的环节,而且随着汽车工业的快速发展,汽车保有量和报废汽车数量的不断增加,引发的环境、资源等问题受到了越来越多的重视,在汽车零部件的选材阶段考虑材料的回收利用性能具有重要的意义。但是有很多汽车零部件多材料选择研究都没有考虑汽车产品的回收再利用性能,本文在对前人学者研究的基础上,考虑汽车产品的回收再利用性能,为汽车零部件进行多材料的优化选择。其主要研究内容如下:由于回收利用性能是一个定性的参数,所以本文通过查阅相关文献,归纳并整理影响汽车多材料回收利用性能的五个关键因素:材料处理、材料类型、连接类型、回收设备和回收利润,由于前四个影响因素是模糊的,所以本文根据一定的模糊判断准则对这四个模糊影响因素划分等级,赋予不同的隶属度标度,并根据模糊层次分析法确定各个模糊因素相对于回收利用值的权重系数,用这四个模糊参数的线性加权来表示汽车材料的回收利用值。汽车产品的回收利用性能是通过回收利用值和回收利润来评估的,所以本文在满足汽车产品结构性能的前提下,为材料类型分配唯一的标识编码,将材料类型和零件的几何参数组合作为设计变量空间,综合考虑车身质量、成本、回收利用值和回收利润,建立面向回收再利用的多材料优化数学模型;并通过多目标遗传优化算法NSGA-Ⅱ对数学模型进行优化求解。本文以某车型的发动机罩为例,在保证发动机罩扭转刚度和约束模态基本不变的前提下,建立发动机罩内外板材料类型和厚度的优化数学模型,得出发动机罩内外板的最佳材料组合方案;建立发动机罩的有限元模型,分析发动机罩内外板最佳材料组合方案的扭转刚度和约束模态;通过设计并搭建试验台架,对发动机罩扭转刚度和约束模态进行试验,对比仿真和试验结果,验证了面向回收再利用的多材料优化选择方法的可行性,为汽车零部件产品材料的优化选择提供了新的思路。
[Abstract]:In the development and design stage of automobile parts, the material selection of parts is a very important link, and with the rapid development of the automobile industry, the number of vehicle ownership and scrap vehicles is increasing, which leads to the environment. More and more attention has been paid to the problem of resources, so it is of great significance to consider the recovery and utilization of materials in the selection stage of automobile parts. However, many researches on the multi-material selection of automobile parts have not considered the recovery and reuse performance of automobile products. Based on the previous research, this paper considers the recovery and reuse performance of automobile products. Optimize the selection of multi-material for auto parts. The main research contents are as follows: because the recycling performance is a qualitative parameter, this paper summarizes and arranges five key factors that affect the recovery and utilization performance of automobile multi-material by consulting relevant literature: material treatment, material type, and so on. Because the first four influencing factors are fuzzy, the connection type, the recovery equipment and the recovery profit are classified according to a certain fuzzy judgment criterion, and different membership scales are given. According to the fuzzy analytic hierarchy process, the weight coefficient of each fuzzy factor relative to the recycling value is determined, and the linear weight of the four fuzzy parameters is used to express the recycling value of automobile material. The recycling performance of automobile products is evaluated by recycling value and profit, so this paper allocates a unique identification code for material type under the premise of satisfying the structure and performance of automobile products. Taking the combination of material type and geometric parameters of parts as design variables, considering the quality, cost, value of recovery and profit of the body, a mathematical model of multi-material optimization for recycling is established. The mathematical model is solved by multi-objective genetic optimization algorithm NSGA- 鈪，

本文编号：1894096