Drilling parameter optimizing method based on hard alloy tool tipping failure predication

Abstract

The invention discloses a drilling parameter optimizing method based on hard alloy tool tipping failure predication and belongs to the technical field of tool service life prediction. The method comprises the steps of obtaining the workpiece thickness, the diameter of a hard alloy tool, the axial height of a cutting edge and the expected drilling hole number, setting the drilling parameters, calculating the number M of drilled holes when the tipping failure occurs to the hard alloy tool, resetting the drilling parameters if M is smaller than or equal to the expected drilling hole number, repeatedly conducting the calculation until M is greater than the expected drilling hole number, and carrying out workpiece drilling production according to the obtained optimized drilling parameters. By means of the drilling parameter optimizing method based on hard alloy tool tipping failure predication, the number of holes drilled before the tipping failure can be predicted, and unreasonable drilling parameters are optimized, so that the tool achieves the maximum drilling capacity, the situation that tools are wasted and consequently extra economic burdens are caused is avoided, and the problemthat tool failure occurs in advance due to setting errors of the drilling parameters and consequently the expected drilling hole number target cannot be achieved is avoided.

Description

technical field [0001] The invention belongs to the technical field of tool life prediction, and in particular relates to a drilling parameter optimization method for carbide tool chipping failure prediction. Background technique [0002] Cemented carbide has high strength, hardness and fracture toughness, and is a reliable tool material. Therefore, cemented carbide tools are widely used in the field of cutting composite materials, titanium alloys, high-temperature alloys and other materials. During the drilling process, the contact between the tool and the hole wall is continuous and the drilling area is approximately a closed space, resulting in poor chip removal during the drilling process; if the workpiece material is a difficult-to-machine material, such as titanium alloy material, its The thermal conductivity is: 7.5W / (m·℃), the thermal conductivity is poor, and most of the heat is transferred through the tool, causing the heat generated to be concentrated in the drill...

AI Technical Summary

Problems solved by technology

Therefore, it is difficult to predict the failure time of the tool chipping under abnormal wear conditions, and then it is impossible to flexibly set reasonable drilling parameters according to the number of holes made. generation, which reduces the use efficiency of the tool and cannot give full play to the maximum drilling capacity of the tool

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