A method for predicting a chip removal force of deep hole machining

By analyzing the micro-element forces on the chips during deep hole machining, a force balance differential equation was established, which solved the problem of inaccurate chip removal force prediction in the existing technology and improved the efficiency and quality of deep hole machining.

CN122401152APending Publication Date: 2026-07-17NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NORTHWESTERN POLYTECHNICAL UNIV
Filing Date
2026-06-03
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot accurately predict chip removal force in deep hole machining, leading to easy drill bit breakage and low machining efficiency. In particular, when machining difficult materials, chips are prone to clogging, affecting surface quality and thermal deformation.

Method used

By establishing a physical hypothesis model of the chip removal process, the chips are divided into infinitesimal elements, and the forces acting on them are decomposed. The chip removal force and torque are predicted by integrating the force balance differential equations of the infinitesimal elements.

Benefits of technology

It enables accurate prediction of chip removal force during drilling, reducing the risk of tool breakage and improving machining efficiency and surface quality.

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Abstract

The application discloses a kind of deep hole machining's chip removal force prediction method, belong to the field of aero-engine shaft sleeve class part deep hole drilling machining;The method comprises: simplifying drilling process and proposing reasonable hypothesis;On the basis of hypothesis, the chip removal process is divided into microelement, and the stress of microelement is decomposed;Chip microelement stress is subjected to extrusion, and integration is carried out along the drilling depth direction, and the chip removal force and torque caused by extrusion are obtained.Changes in the model are introduced into processing parameters, and the influence of processing parameters on the size of chip removal force can be judged intuitively.The application improves the prediction accuracy of chip removal force by studying the drilling process, which helps to optimize the drilling parameters.
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