Electrode cap end face grinding sticky chip control method and system

By constructing a nonlinear coupling model of rotation speed and pressure and a method for quantifying the risk of chip adhesion, the instability problem of chip adhesion defects during electrode cap grinding was solved, achieving precise control and high quality and efficiency in the electrode cap grinding process.

CN121879154AActive Publication Date: 2026-04-17SHANDONG UNIV
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Patent Information

Application Number
CN202610328374.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-18
Publication Date
2026-04-17
Estimated Expiration
2046-03-18

AI Technical Summary

Technical Problem

The existing electrode cap grinding process has a probabilistic and fluctuating nature in terms of chip adhesion defects, resulting in unstable grinding quality. Furthermore, the lack of scientific assessment and control of chip adhesion risk makes it difficult to determine a continuous and stable processing window.

Method used

By constructing a nonlinear coupling model of rotation speed and pressure, and combining it with a multi-factor coupling optimization method, a chip adhesion risk quantification model is established. The Mahalanobis distance and comprehensive stability index are introduced to determine the stable processing window and select the parameters with the best efficiency.

Benefits of technology

It enables precise control of the electrode cap grinding process, reduces chip adhesion defects, improves grinding quality and stability, and ensures the continuity and stability of the production process.

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Abstract

The invention discloses an electrode cap end face grinding sticky chip control method and system, and relates to the technical field of resistance electric welding. End face defect characteristics of an electrode cap under each working condition are obtained; obtaining a mahalanobis distance under the current working condition by combining an end face defect feature reference mean value and a covariance matrix under a stable grinding state based on the end face defect features under the current working condition; on the basis of the Mahalanobis distance and the key end face defect features, a chip sticking risk index is constructed, and a chip sticking risk value is obtained after scale unification; based on the chip-sticking risk values, statistical analysis is carried out to obtain a chip-sticking risk value mean value and a chip-sticking risk value variance, a risk fluctuation coefficient and a consistency jump index are introduced, and a comprehensive stability index is constructed; a rotating speed-pressure nonlinear coupling model is established, a stable machining window is obtained by constraining data volatility in combination with a comprehensive stability index, and then an efficiency optimal parameter is selected in the stable machining window, so that the grinding process can be accurately controlled, the chip sticking defect is reduced, and the grinding quality is improved.
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