CN-121977955-A - Method, device and equipment for predicting grinding surface hardness of powder high-speed steel tool

CN121977955ACN 121977955 ACN121977955 ACN 121977955ACN-121977955-A

Abstract

The application discloses a method, a device and equipment for predicting the grinding surface hardness of a powder high-speed steel tool, and relates to the field of high-performance tool manufacturing, wherein the method comprises the steps of obtaining a plurality of groups of grinding data and a plurality of average sizes of crystal grains corresponding to a first powder high-speed steel sample, wherein the grinding data comprise grinding process parameters and grinding process parameters corresponding to the grinding process parameters; the method comprises the steps of establishing a grain size prediction model to be fitted, carrying out data fitting on the grain size prediction model to be fitted according to a plurality of groups of grinding data and average sizes of a plurality of grains corresponding to a first powder high-speed steel sample, determining a target grain size prediction model, determining a target hardness prediction model according to the target grain size prediction model, inputting grinding data of a tool to be predicted into the target hardness prediction model, and obtaining a grinding surface hardness prediction result of the tool to be predicted. The method can accurately predict the hardness of the grinding surface of the cutter to be predicted, and improves the hardness determination efficiency and accuracy of the powder high-speed steel cutter.

Inventors

ZHU XINFA
CUI WEIYI
MENG YI
CHEN MING
AN QINGLONG
LU HONGMEI
ZHU JIEYIN
ZHANG BO
HOU TING
Shi lanyu

Assignees

上海工具厂有限公司
上海交通大学

Dates

Publication Date: 20260505
Application Date: 20260123

Claims (10)

1. The method for predicting the grinding surface hardness of the powder high-speed steel tool is characterized by comprising the following steps of: acquiring a plurality of groups of grinding data and a plurality of average sizes of crystal grains corresponding to a first powder high-speed steel sample, wherein the grinding data comprise grinding technological parameters and grinding process parameters corresponding to the grinding technological parameters; establishing a grain size prediction model to be fitted; According to a plurality of groups of grinding data and average sizes of a plurality of grains corresponding to the first powder high-speed steel sample, performing data fitting on the grain size prediction model to be fitted, and determining a target grain size prediction model; Determining a target hardness prediction model according to the target grain size prediction model; and inputting grinding data of the to-be-predicted tool into the target hardness prediction model to obtain a grinding surface hardness prediction result of the to-be-predicted tool.
2. The method for predicting the grinding surface hardness of a powder high-speed steel tool according to claim 1, wherein the grain size prediction model to be fitted is represented by the following formula: Wherein, the , , , , , In the above-mentioned method, the step of, Indicating that the predicted grain size is one that, The grain growth index is indicated as such, Indicating the initial grain size of the grains, Indicating the parameters of the crystal growth of the material, Representing a natural exponential function of the sign, Indicating the activation energy for the growth of the grains, The gas constant is represented by a value of, 、、 Are all the factors of influence, and the factors are all the factors of influence, Representing the grinding temperature; The grinding temperature rise rate is shown as follows, The peak temperature of the grinding steady state phase is indicated, Indicating the temperature of the environment and, Indicating the contact arc length of the grinding wheel and the workpiece, Indicating the feed rate of the workpiece, The grinding depth is indicated as being the grinding depth, Representing the diameter of the grinding wheel; the grinding strain rate is indicated as a function of the grinding strain rate, Indicating the coefficient of shear strain of the material, The linear velocity of the grinding wheel is indicated, Indicating the half angle of the tip cone of the abrasive particle, The shear angle is indicated as being the angle of shear, Represents an undeformed cutting thickness; 、、、、、、、、、 All are coefficients to be fitted.
3. The method for predicting the grinding surface hardness of a powder high-speed steel tool according to claim 2, wherein the target hardness prediction model is represented by the following formula: In the above-mentioned method, the step of, The predicted hardness is indicated as being indicative of the predicted hardness, Represents the hardness of the single crystal of the material, Representing the hall-petty coefficient.
4. The method for predicting the grinding surface hardness of the powder high-speed steel tool according to claim 2, wherein the grain size prediction model to be fitted is subjected to data fitting through a nonlinear least squares fitting algorithm.
5. The method for predicting the grinding surface hardness of a powder high-speed steel tool according to claim 1, wherein after determining the target grain size prediction model, the method for predicting the grinding surface hardness of a powder high-speed steel tool further comprises: obtaining multiple groups of grinding data and average sizes of multiple grains corresponding to the second powder high-speed steel sample; Determining a plurality of predicted grain sizes corresponding to the second powder high-speed steel sample based on the target grain size prediction model according to a plurality of groups of grinding data corresponding to the second powder high-speed steel sample; and determining that the target grain size prediction model meets error requirements according to the average grain sizes of the grains, the predicted grain sizes and the first preset error threshold corresponding to the second powder high-speed steel sample.
6. The method for predicting the grinding surface hardness of a powder high-speed steel tool according to claim 1, characterized in that the method for predicting the grinding surface hardness of a powder high-speed steel tool further comprises, after determining the target hardness prediction model: Acquiring a plurality of groups of grinding data and a plurality of detection hardness corresponding to a third powder high-speed steel sample; determining a plurality of predicted hardness corresponding to the third powder high-speed steel sample based on the target hardness prediction model according to a plurality of groups of grinding data corresponding to the third powder high-speed steel sample; And determining that the target hardness prediction model meets error requirements according to a plurality of detected hardness, a plurality of predicted hardness and a second preset error threshold corresponding to the third powder high-speed steel sample.
7. The device for predicting the grinding surface hardness of the powder high-speed steel cutter is characterized by comprising the following components: the acquisition module is used for acquiring a plurality of groups of grinding data and a plurality of average grain sizes corresponding to the first powder high-speed steel sample, wherein the grinding data comprise grinding process parameters and grinding process parameters corresponding to the grinding process parameters; The model construction module is used for establishing a grain size prediction model to be fitted, carrying out data fitting on the grain size prediction model to be fitted according to a plurality of groups of grinding data and a plurality of average grain sizes corresponding to the first powder high-speed steel sample, and determining a target grain size prediction model; And the prediction module is used for inputting the grinding data of the to-be-predicted tool into the target hardness prediction model to obtain a grinding surface hardness prediction result of the to-be-predicted tool.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor executes the computer program to carry out the steps of the method for predicting the grinding surface hardness of a powder high speed steel tool according to any one of claims 1-6.
9. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the powder high speed steel tool grinding surface hardness prediction method according to any one of claims 1-6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the steps of the method for predicting the grinding surface hardness of a powder high-speed steel tool according to any one of claims 1-6.

Description

Method, device and equipment for predicting grinding surface hardness of powder high-speed steel tool Technical Field The application relates to the field of high-performance cutter manufacturing, in particular to a method, a device and equipment for predicting the grinding surface hardness of a powder high-speed steel cutter. Background Powder metallurgy high-speed steel (i.e., powder high-speed steel) is widely used in the production and manufacture of various precision cutting tools due to its superior material properties. Because of the high precision requirements of tools and dies and the high hardness of powder high-speed steel, powder high-speed steel cutters are usually ground, and the hardness of the powder high-speed steel cutters is uncontrollably influenced due to grinding heat in the grinding process. Therefore, the hardness of the surface of the powder high-speed steel cutter in the grinding process needs to be effectively predicted, and the purposes of controlling grinding burn, improving the surface quality and improving the cutter performance are achieved. In actual grinding production of powder high-speed steel cutters, evaluation of machined surface hardness has long relied on in-situ experience and extensive experimental detection, and grinding surface hardness needs to be confirmed by repeated sampling and measurement. However, the method not only consumes a great deal of manpower and material resources, but also lacks theoretical support and effective technical guidance of the system, and meanwhile, the efficiency and precision requirements of field production are more and more difficult to meet only by test means. Disclosure of Invention The application aims to provide a method, a device and equipment for predicting the grinding surface hardness of a powder high-speed steel tool, which can accurately predict the grinding surface hardness of the tool to be predicted and improve the hardness determination efficiency and accuracy of the powder high-speed steel tool. In order to achieve the above object, the present application provides the following solutions: In a first aspect, the application provides a method for predicting the grinding surface hardness of a powder high-speed steel tool, which comprises the following steps: The method comprises the steps of obtaining multiple groups of grinding data and multiple average grain sizes corresponding to a first powder high-speed steel sample, wherein the grinding data comprise grinding technological parameters and grinding process parameters corresponding to the grinding technological parameters, establishing a grain size prediction model to be fitted, carrying out data fitting on the grain size prediction model to be fitted according to the multiple groups of grinding data and the multiple average grain sizes corresponding to the first powder high-speed steel sample, determining a target grain size prediction model, determining a target hardness prediction model according to the target grain size prediction model, inputting the grinding data of a tool to be predicted into the target hardness prediction model, and obtaining a grinding surface hardness prediction result of the tool to be predicted. Optionally, the grain size prediction model to be fitted is as follows: Wherein, the ,, ,,, In the above-mentioned method, the step of,Indicating that the predicted grain size is one that,The grain growth index is indicated as such,Indicating the initial grain size of the grains,Indicating the parameters of the crystal growth of the material,Representing a natural exponential function of the sign,Indicating the activation energy for the growth of the grains,The gas constant is represented by a value of,、、Are all the factors of influence, and the factors are all the factors of influence,Representing the grinding temperature; The grinding temperature rise rate is shown as follows, The peak temperature of the grinding steady state phase is indicated,Indicating the temperature of the environment and,Indicating the contact arc length of the grinding wheel and the workpiece,Indicating the feed rate of the workpiece,The grinding depth is indicated as being the grinding depth,Representing the diameter of the grinding wheel; the grinding strain rate is indicated as a function of the grinding strain rate, Indicating the coefficient of shear strain of the material,The linear velocity of the grinding wheel is indicated,Indicating the half angle of the tip cone of the abrasive particle,The shear angle is indicated as being the angle of shear,Represents an undeformed cutting thickness;、、、、、、、、、 All are coefficients to be fitted. Optionally, the target hardness prediction model is as follows: In the above-mentioned method, the step of, The predicted hardness is indicated as being indicative of the predicted hardness,Represents the hardness of the single crystal of the material,Representing the hall-petty coefficient. Optionally, data fitting is performed on th