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Process Optimization and Experimental Research on High Efficiency Grinding of Automobile Shaft Parts

Author: ChenYong
Tutor: YangJianGuo
School: Donghua University
Course: Mechanical Manufacturing and Automation
Keywords: high-efficiency grinding experimental research technological parameters intelligent optimization quality index
CLC: U466
Type: Master's thesis
Year: 2014
Downloads: 36
Quote: 0
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Abstract


The Automobile industry has the characteristic of large-relation and scale benefit, it can improve the development of other industries, which has the important effectiveness for the entire industry system. Automobile industry is the pillar industry of national economy and the auto parts industry is the foundation of the automobile industry." If auto parts are strong, than auto industry is strong, and if auto parts are weak, than auto industry is weak" Because there exists a concept that values Finished Automobile over auto parts for a long time, production efficiency and quality has been becoming an important factor that restrict the level of automobile industry. The shaft parts play important role in power transmission system of automobile and they are the one of most important parts of engine. The accuracy, efficiency, flexibility and the degree of automation has a direct influence towards the operation quality of power transmission system. So enhance the level of technique and technology of the shaft parts is urgent that no time to delay.So in this paper, in order to satisfy the high efficiency grinding demand of typical parts in automotive industry, the high efficiency grinding technology experiment is carried out, by optimizing the grinding condition and grinding process parameters, systematic study on the impact of changing grinding process parameters and conditions to the grinding performance. In the basis of theory, experimental data and engineering test data, optimizing the grinding process. By comparison and analysis of the grinding performance, grinding cost between high-speed machine tool and general-purpose machine tool, developing the intelligent optimization system of grinding technological parameters, which supplies the theoretical foundation to scientifically and rationally choose the grinding parameters and achieve high efficiency and low damage grinding process. The main contributions of this dissertation are as follows:On the basis of high efficiency grinding mechanism, the dissertation analyzes and sums up the existing test methods. In order to research the influence mechanism of changing grinding parameters and conditions to the grinding performance, this paper studied the features of testing equipments from the aspect of the surface roughness, grinding force, residual hardness, surface (subsurface) residual stress and action depth of stress.Under the current grinding conditions, experimental program of high-efficiency grinding was drawn up based on the user goals. Do experiment on carburizing and quenching steel20CrMnTi by using CBN grinding wheel in high-speed machine tool. In the course of experiment, the surface roughness, grinding force, residual hardness, surface (subsurface) residual stress and action depth of stress is collected.Through the analysis of experimental data, get the rule of how the grinding wheel speed, work piece speed and grinding depth influence the surface quality indicators and reveal the material removal mechanism in the high-efficiency grinding with the CBN Grinding Wheel.In order to determine the best grinding technological parameters, do experiments on20CrMnTi by using traditional corundum grinding wheel in general-purpose machine tool and investigate that how the grinding parameters influence the surface quality. Compare and analyze the grinding performance, grinding cost between high-speed machine tool and general-purpose machine tool, supplies the theoretical foundation to achieve high efficiency and low damage grinding process. Then design orthogonal experiment and determine the best grinding technological parameters by the range analysis.Developed the intelligent optimization system of grinding technological parameters based on Visual studio2010system development platform and SQL Sever2008database, choose the BP neural network as the optimization model. Through experiment validated, the conclusion can be drawn that the correct rate was over80percent, which gives important references of the area of intelligent selection of grinding technological parameters.

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