面向无油涡旋空压机的计算机辅助零件选配研究

发布时间：2018-04-11 09:56

  本文选题：涡旋空压机 + 选择装配　； 参考：《南昌大学》2013年硕士论文

【摘要】：计算机辅助选择装配是指利用计算机,并采用有效的优化算法,对装配尺寸链中的各组成环的尺寸进行合理的搭配选择。采用计算机辅助选择装配方法,可以使按正常生产条件下加工出来的零件,装配后得到较高的装配精度,减小封闭环的偏差变动范围,提高产品质量,降低生产成本。 对于多条尺寸链的选配问题,现有的研究往往采用加权方法将多尺寸链转化为单尺寸链,这样虽然是计算过程简单,但当尺寸链之间出现交叉时,目标函数之间就会出现相互支配的关系,那么加权方法就无法解决了,只能选用多目标优化算法来解决。涡旋空压机装配质量的好坏,最终由动、定盘的装配间隙来体现。因此,装配目标在于同时保证轴向和径向的啮合间隙满足设计要求,并使得剩余零件最小化,这属于一个多目标优化问题。 本文以某型号无油涡旋空压机的装配为研究对象,围绕多参数、批量化的多目标零件选配问题,开展优化选配方法的研究。首先,分析无油涡旋空压机结构、工作原理、性能要求等因素,在无油涡旋空压机装配的特点基础上,确定主机装配工艺流程,分析影响装配精度的因素,提取和分析装配尺寸链；其次,根据主机的装配目标,确定选配目标函数,建立多目标零件选配的数学模型；再次,确定优化算法,采用改进的遗传算法——NSGA-Ⅱ来求解选配模型,并对选配算法进行了详细的设计；最后,在ASP.NET平台上实现了选配,并以04A型无油涡旋空压机的动、定盘选配为例,验证了基于带精英策略的快速非支配遗传算法的优化选配的实用性和优越性。
[Abstract]:Computer-aided assembly refers to the reasonable selection of the size of each component ring in the assembly dimension chain by using the computer and using an effective optimization algorithm.By adopting the method of computer aided selection of assembly, the parts processed under normal production conditions can obtain higher assembly precision after assembly, reduce the deviation range of closed ring, improve product quality and reduce production cost.For the problem of multi-dimensional chain selection, the existing research often uses the weighted method to transform the multi-dimensional chain into a single-dimensional chain. This is a simple calculation process, but when there is a cross between the dimension chains,The relationship between the objective functions will be dominated by each other, so the weighting method can not be solved, so the multi-objective optimization algorithm can only be used to solve the problem.The assembly quality of scroll air compressor is finally reflected by the assembly clearance of moving and fixed disc.Therefore, the assembly goal is to ensure that both axial and radial meshing clearance meet the design requirements and minimize the remaining parts, which is a multi-objective optimization problem.In this paper, the assembly of a certain type of oil-free scroll air compressor is taken as the research object, and the optimization method is studied around the problem of multi-parameter and batch multi-objective parts selection.First of all, the structure, working principle, performance requirements and other factors of oil-free scroll air compressor are analyzed. Based on the characteristics of assembly of oil-free scroll air compressor, the main engine assembly process is determined, and the factors affecting assembly accuracy are analyzed.Extraction and analysis of assembly dimension chain; secondly, according to the assembly objectives of the host, determine the selection objective function, establish the mathematical model of multi-objective parts selection; thirdly, determine the optimization algorithm,An improved genetic algorithm (NSGA- 鈪，

本文编号：1735498