CN-121980904-A - Milling process parameter optimization method and device and electronic equipment

CN121980904ACN 121980904 ACN121980904 ACN 121980904ACN-121980904-A

Abstract

The application is suitable for the technical field of mechanical processing, and provides a milling process parameter optimization method, a milling process parameter optimization device and electronic equipment, which comprise the steps of constructing a milling force model; the method comprises the steps of constructing a temperature model, constructing a material removal rate model according to technological parameters, determining constraint conditions of machining working conditions, constructing a multi-target parameter optimizing model according to the milling force model, the temperature model, the material removal rate model and the constraint conditions, and obtaining optimized technological parameters of milling machining by optimizing and solving the multi-target parameter optimizing model, wherein the inputs of the multi-target parameter optimizing model comprise technological parameters, and the values of the multi-target parameter optimizing model comprise milling force, cutting temperature and material removal rate. By the method, accuracy of the obtained process parameters is improved.

Inventors

GUO ZHAOSHENG
CHEN YINGJIE
LIU YU
Zhang Shangzhe
XIAO ZHUO

Assignees

中广核核电运营有限公司

Dates

Publication Date: 20260505
Application Date: 20251211

Claims (12)

1. The technological parameter optimization method for milling process is characterized by comprising the following steps: constructing a milling force model, wherein the milling force model reflects the relation between the milling force and the technological parameters; Constructing a temperature model, wherein the temperature model reflects the relation between milling temperature and the technological parameters; constructing a material removal rate model according to the process parameters; Determining constraint conditions of machining working conditions, wherein the constraint conditions comprise constraints on the milling force, the cutting temperature and the technological parameters; And constructing a multi-target parameter optimizing model according to the milling force model, the temperature model, the material removal rate model and the constraint condition, and obtaining optimized milling process parameters by optimizing and solving the multi-target parameter optimizing model, wherein the input of the multi-target parameter optimizing model comprises the process parameters, and the output comprises the milling force, the cutting temperature and the material removal rate.
2. The process parameter optimization method of milling according to claim 1, wherein said constructing a milling force model comprises: the cutting edge is layered and scattered along the axial direction of the cutter to obtain a plurality of blade microelements; For each of the blade hogels, constructing an expression of an undeformed chip thickness of the blade hogel and an expression of an undeformed chip width of the blade hogel; Calculating the cutting force coefficient of the blade primordial; Constructing a cutting force model of the blade hogels according to the cutting force coefficient of the blade hogels, the expression of the thickness of the undeformed chips and the expression of the width of the undeformed chips; and constructing the milling force model according to the cutting force model of each blade infinitesimal.
3. The process parameter optimization method of milling machining according to claim 2, wherein said constructing an expression of an undeformed chip thickness of the blade primordia and an expression of an undeformed chip width of the blade primordia comprises: determining the direction defined by the thickness of the undeformed chips of the blade primordial; And selecting a corresponding mode to construct an expression of the undeformed chip thickness of the blade element and an expression of the undeformed chip width of the blade element according to the defined direction of the undeformed chip thickness of the blade element.
4. The process parameter optimization method of milling process according to claim 3, wherein said selecting a corresponding manner to construct an expression of an undeformed chip thickness of said blade hogels and an expression of an undeformed chip width of said blade hogels according to a direction defined by undeformed chip thickness of said blade hogels comprises: when the thickness of the undeformed chip of the blade element is defined in the direction perpendicular to the vector of the cutter shaft, constructing an expression of the thickness of the undeformed chip of the blade element according to the expression of the radial position angle of the blade element and the expression of the feeding amount of each tooth; And constructing an expression of the undeformed chip width of the blade hogels according to the positions of the blade hogels.
5. The process parameter optimization method of milling process according to claim 3, wherein said selecting a corresponding manner to construct an expression of an undeformed chip thickness of said blade hogels and an expression of an undeformed chip width of said blade hogels according to a direction defined by undeformed chip thickness of said blade hogels comprises: When the undeformed chip thickness of the blade element is defined in the normal direction of the cutter envelope surface, constructing an expression of the undeformed chip thickness of the blade element according to the expression of the radial position angle, the axial position angle and the expression of the feeding amount per tooth of the blade element; and constructing an expression of the undeformed chip width of the blade hogels according to the positions of the blade hogels and the axial position angles.
6. The process parameter optimization method of milling according to claim 2, wherein said calculating the cutting force coefficient of said blade element comprises: constructing a cutting force coefficient expression of the blade primordial; Constructing a cutting force function of the blade element according to the cutting force coefficient expression of the blade element, the expression of the thickness of the undeformed chip and the expression of the width of the undeformed chip; Recording the cutting force of the new cutter under the condition that the contact angle between the new cutter and the part and the axial cutting depth are fixed; and according to the cutting force of the new cutter and the cutting force function of the blade micro element, reversely solving the cutting force coefficient of the blade micro element corresponding to the cutting force coefficient expression.
7. The method for optimizing process parameters of milling according to claim 6, wherein said inverting the cutting force coefficient of said blade element corresponding to said cutting force coefficient expression according to the cutting force of said new tool and the cutting force function of said blade element comprises: averaging the cutting forces of the new cutter in a plurality of periods to obtain the average cutting force of each rotation of the spindle; calculating the average cutting force of each tooth according to the average cutting force of each rotation of the spindle and the number of teeth of the cutter; and according to the average cutting force of each tooth and the cutting force function of the blade micro element, reversely solving the cutting force coefficient of the blade micro element corresponding to the cutting force coefficient expression.
8. The process parameter optimization method of milling according to any one of claims 1 to 7, wherein said optimizing the multi-objective parameter optimization model to obtain the optimized process parameters of the milling comprises: setting model parameters, wherein the model parameters comprise at least one of population number, maximum iteration times, cross probability and variation probability; Based on the model parameters, carrying out optimizing solution on the multi-objective parameter optimizing model by adopting an NSGA-III algorithm to obtain a preliminarily screened optimal solution set, wherein the preliminarily screened optimal solution set comprises a combination scheme of milling process parameters and values of the multi-objective parameter optimizing model corresponding to the combination scheme; And obtaining the constructed screening conditions, and screening the optimal solution set of the preliminary screening according to the screening conditions to obtain the optimized milling process parameters.
9. A process parameter optimizing apparatus for milling, comprising: The milling force model construction module is used for constructing a milling force model, and the milling force model reflects the relation between the milling force and the technological parameters; The temperature model construction module is used for constructing a temperature model, and the temperature model reflects the relation between milling temperature and the technological parameters; the material removal rate model construction module is used for constructing a material removal rate model according to the process parameters; the constraint condition determining module is used for determining constraint conditions of machining working conditions, wherein the constraint conditions comprise constraints on the milling force, the cutting temperature and the technological parameters; The multi-target parameter optimizing model construction module is used for constructing a multi-target parameter optimizing model according to the milling force model, the temperature model, the material removal rate model and the constraint condition, optimizing and solving the multi-target parameter optimizing model to obtain optimized milling process parameters, wherein the input of the multi-target parameter optimizing model comprises the process parameters, and the output of the multi-target parameter optimizing model comprises milling force, cutting temperature and material removal rate.
10. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method according to any one of claims 1 to 8.
12. A computer program product comprising a computer program which, when run, causes the method of any one of claims 1 to 8 to be performed.

Description

Milling process parameter optimization method and device and electronic equipment Technical Field The application belongs to the technical field of machining, and particularly relates to a process parameter optimization method and device for milling, electronic equipment, a computer readable storage medium and a computer program product. Background Milling is a machining method in which a workpiece is cut by a rotating milling cutter. The cutter rotates around the axis of the cutter at a high speed to perform main movement, and the workpiece or the cutter performs linear or curved feeding movement, so that redundant materials are cut off, and parts with required shapes, sizes and surface quality are obtained. When milling a part, it is necessary to optimize the process parameters (such as spindle speed, cutting depth, cutting width, etc.) to process the part according to the optimized process parameters. However, the process parameters obtained by the existing process parameter optimization method are often insufficient in adaptability under actual dynamic processing conditions, so that the final processing effect is difficult to reach the requirements of users. Therefore, a new method is needed to solve the above technical problems. Disclosure of Invention The embodiment of the application provides a milling process parameter optimization method, a milling process parameter optimization device and electronic equipment, which can solve the problem of low accuracy of process parameters determined by the existing method. In a first aspect, an embodiment of the present application provides a method for optimizing a process parameter of milling, including: constructing a milling force model, wherein the milling force model reflects the relation between the milling force and the technological parameters; Constructing a temperature model, wherein the temperature model reflects the relation between milling temperature and the technological parameters; constructing a material removal rate model according to the process parameters; Determining constraint conditions of machining working conditions, wherein the constraint conditions comprise constraints on the milling force, the cutting temperature and the technological parameters; And constructing a multi-target parameter optimizing model according to the milling force model, the temperature model, the material removal rate model and the constraint condition, and obtaining optimized milling process parameters by optimizing and solving the multi-target parameter optimizing model, wherein the input of the multi-target parameter optimizing model comprises the process parameters, and the output comprises the milling force, the cutting temperature and the material removal rate. Compared with the prior art, the embodiment of the application has the beneficial effects that: In the embodiment of the application, as the milling force model reflects the relation between the milling force and the technological parameters, the temperature model reflects the relation between the milling temperature and the technological parameters, and the material removal rate model is constructed according to the technological parameters, the multi-target parameter optimizing model constructed according to the milling force model, the temperature model, the material removal rate model and the constraint conditions can reflect the complex coupling effect between the milling force, the milling temperature and the material removal rate, so that the optimized technological parameters of milling processing obtained by optimizing and solving the multi-target parameter optimizing model can be more suitable for actual dynamic processing conditions. That is, the optimized process parameters determined by the method are more accurate, so that the probability that the final processing effect reaches the user requirement is improved. In a second aspect, an embodiment of the present application provides a process parameter optimization apparatus for milling, including: The milling force model construction module is used for constructing a milling force model, and the milling force model reflects the relation between the milling force and the technological parameters; The temperature model construction module is used for constructing a temperature model, and the temperature model reflects the relation between milling temperature and the technological parameters; the material removal rate model construction module is used for constructing a material removal rate model according to the process parameters; the constraint condition determining module is used for determining constraint conditions of machining working conditions, wherein the constraint conditions comprise constraints on the milling force, the cutting temperature and the technological parameters; The multi-target parameter optimizing model construction module is used for constructing a multi-target parameter optimizing model according to the millin