【作者】 于文波；

【导师】 徐文骥；

【作者基本信息】 大连理工大学 ， 机械制造及其自动化， 2006， 硕士

【摘要】 随着现代科技的不断发展，单纯地靠机械加工技术往往难以满足产品性能的要求，所以集机械、物理、化学等作用于一体的复合加工技术得到了迅速发展。电化学砂带磨削技术是电化学—机械复合加工技术中的一种，通过合理地选择使用与电化学作用相匹配的砂带磨削加工方式以及合理的优化选择工艺参数，使两者的作用能够很好的匹配，使工件表面加工得以不断交替进行，达到加工质量的要求。 电解砂带磨削复合加工技术过程是一种复杂的非线性过程，影响加工工艺过程的因素较多而且各因素之间相互关系非常复杂，要获得好的加工质量效果，必须注意多种作用的匹配问题，合理选择和优化工艺参数。即根据不同的工件情况(形状、材料、加工技术要求等)选择最佳的工艺参数来控制加工过程，从而实现对加工质量的控制。 本文在电化学砂带磨削技术加工的相关理论的基础上，以轴承滚道凸度加工为对象，以降低表面粗糙度和加工合理表面凸度形状为目标，对加工质量的控制做了以下研究： 1．研究了电化学砂带磨削加工的基本原理与特点，根据加工对象和目标，建立了适用的实验装置，分析了加工过程的特点和提高加工效率的途径； 2．通过实验，初步研究了电流密度、加工时间、砂带粒度、极间间隙、相对加工线速度等工艺参数对表面质量的影响规律，为工艺参数的优化提供了依据； 3．采用BP神经网络原理建立加工质量与影响参数之间的近似数学模型，在分析各主要因素和实验数据的基础上，确定了BP神经网络模型的结构，该数学模型能比较准确地根据加工表面质量的要求反映出合理匹配的工艺参量；利用该网络模型可以预测加工的表面质量，也可以根据所要求的表面质量来反求加工过程中的工艺参量。网络模型的建立为电化学砂带磨削加工合理匹配工艺参量、优化加工过程提供了新的方法。 上述工作对推动电化学砂带磨削加工技术的实际应用具有积极意义。更多还原

【Abstract】 With the development of modern science and technology, it becomes more and more difficult to simply rely on mechanical technology to meet the performance requirements. So the composite processing technology which sets mechanical, physical, chemical technology role in the integration has been developing rapidly. Electrochemical abrasive belt grinding (ECABG) technology is one of the Electrochemical-Mechanical composite processing technology. It makes a good match to choose reasonable abrasive belt grinding manner and technologic parameters, and processes the workpiece surface alternately, then meets the quality requirements.ECABG is a nonlinear process which many factors affect the manufacturing process. It is necessary to choose and optimize the reasonable technologic parameters so as to obtain good quality, that According to the different parts (shape, material, processing technology, etc.) to determine the best technologic parameters to control the machining process and the required processing quality.On the basis of relevant ECABG theory, taking bearing raceway crown processing as an object to study the Quality control of processing is put forward as following:1. The basic principles and characteristics of ECABG theory have been deeply studied. The appropriate experiment equipment was set up, and the manufacturing process and the ways to improve processing efficiency were analyzed.2. The influence of technologic parameters, such as electric current density, processing time, granularity of abrasive belt, gap between cathode and anode, processing lineal speed, has been researched primarily by orthogonal experiments, which provide the foundation for optimization of technologic parameters.3. A similar mathematical model between the machining precision and influencing factors is set up with the BP neural network theory, thus avoids the complex interrelationship between technologic parameters and processing quality. On the basis of BP neural network, the technologic parameters and the dimension of the middle and the hidden layer are determined. Taking predicting and controlling the surface roughness as an example, the model trained by the experimental datum turns into the final BP neural network model. The experimental results indicate that this BP neural network model forecast has a high quality accuracy. In addition, The BP neural network model can be used to optimize technologic parameters.更多还原