Method and device for measuring, predicting and optimizing tool marks in engine block top milling

Abstract

The invention discloses a method and device for measuring, predicting and optimizing tool marks based on engine cylinder top surface milling, including: preprocessing the cylinder top surface point cloud data obtained by high-definition measurement, eliminating abnormal and outlier points, and point The cloud data is filtered to extract the tool mark features in the high-pass signal, and the three-dimensional evaluation index of the tool mark is defined accordingly; according to the milling characteristics of the top surface of the engine block, the influence of the spindle tilt, tool wear and tool jump is comprehensively considered , carry out physical modeling on the tool mark forming process; predict the milling surface quality according to the tool mark physical model, calculate the three-dimensional evaluation index value of the tool mark under specific process parameters, and establish a multi-objective optimization model of process parameters, by solving Optimize the model to obtain the optimal process parameter scheme suitable for the milling of the top surface of the engine block. The invention effectively optimizes the milling process parameters of the top surface of the engine cylinder by defining and accurately predicting the characteristic index of the tool mark on the milling surface, thereby improving the milling quality of the top surface of the engine cylinder.

Description

technical field [0001] The invention relates to surface processing of an engine cylinder block, in particular to a method for measuring, predicting and optimizing tool marks based on engine cylinder top surface milling. Background technique [0002] The engine block is one of the core components of the engine. The machining accuracy of its key surfaces will directly affect the service performance of the automobile engine. Among them, the top surface of the engine block is the joint surface with the engine cylinder head, and its milling quality will directly affect Engine tightness. In the milling process of the top surface of the engine block, due to the influence of factors such as spindle tilt, tool wear and tool jump, there will often be tool mark morphology errors between the macroscopic flatness error and the microscopic roughness error. The surface features will directly affect the waviness error of the processing plane, and then determine the sealing performance of t...

AI Technical Summary

Problems solved by technology

This method provides a visual reference for controlling and reducing the waviness of the milling surface of the part. However, this method still ignores the mechanism of waviness error, and does not consider the actual factors such as spindle tilt, tool wear and tool jump from the perspective of physical nature. Therefore, this method has certain limitations for the prediction of waviness error and the optimization of milling process parameters.

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