Active measurement technology is used widely in the modern precision-grinding process; currently, however, it is tedious and time consuming to adjust the process parameters of grinding process. This process usually depends on the experience of operators, which directly affects the processing efficiency and intelligent control level. Aiming to optimize these grinding-process parameters, we propose a grey target decision-making method based on the uniform effect measure to realize the intelligent optimization of process parameters. First, we obtain the experimental data of process parameters and evaluation parameters using the orthogonal experimental method, and then we calculate and analyze the degree of relation between process parameters and evaluation parameters based on grey system theory. Then we can obtain the process parameters that have the greatest influence on the workpiece surface roughness, workpiece roundness, and grinding process time. Second, through the proposed grey target decision-making method based on the uniform effect measure, and combined with grey relation analysis, we assign the weights of different evaluation parameters. By optimizing the calculation of multigroup evaluation parameters, we obtain the group of evaluation parameters with the best synthetic effect and identify the optimal combination of parameters to guide production. Through a large number of experimental verifications and analyses, we find that the proposed grinding process parameters optimization method can obtain the best combination of process parameters and can effectively improve processing quality and processing efficiency. The research results provide a theoretical basis for the optimization of grinding process parameters and enhance the intelligent degree of precision grinding.
Active measurement technology has been widely used in precision grinding. To solve the problem that gross error in measured value in the grinding active measurement, which has a great influence on the signal point preset value to the workpiece determination. Firstly, the sampling data is limited to the amplitude filter to get rid of gross errors. Since the above, a method based on roundness error is proposed to determine the dimension. The experiment proves that the error in the determination of the dimension of grinding active measuring instrument is mainly caused by the error of roundness; The correction method based on roundness make the absolute value of the deviation of size is not more than 0.5um and it has effectively reduced the influence of roundness error on the size determination. The experiment proves that the method is reasonable and feasible.
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