CN-121979095-A - Mechanical die numerical control automatic processing technology for rapid recombination manufacturing

CN121979095ACN 121979095 ACN121979095 ACN 121979095ACN-121979095-A

Abstract

The invention discloses a numerical control automatic machining process for a mechanical die for rapid recombination manufacturing, and relates to the technical field of machining of mechanical dies. S1, disassembling a die into a standardized module based on the functional characteristics and the machining precision requirements of a mechanical die. According to the invention, through modularized disassembly of a die structure and parameterized modeling of processing tasks, a standardized module feature library and a parameter template library are constructed, and by combining with modularized recombination configuration of a numerical control system, rapid die changing of different specifications and different types of die processing is realized, so that the response speed of multiple varieties in a small-batch production scene is greatly improved, full-flow automation from die module clamping, tool replacement, processing execution to material transmission and quality detection is realized, manual intervention links are reduced, labor cost is reduced, errors caused by manual operation are avoided, and the stability of processing precision is improved.

Inventors

WANG JUN
LIAO CHUNHUI
WANG TAO

Assignees

东台昊天智能装备科技有限公司
南京林业大学

Dates

Publication Date: 20260505
Application Date: 20260116

Claims (10)

1. A mechanical die numerical control automatic processing technology for rapid recombination manufacturing is characterized by comprising the following steps: s1, disassembling a die into a standardized module based on the functional characteristics and the machining precision requirements of a mechanical die, and constructing a die module feature library comprising the module size, the material and the machining features; s2, matching basic processing parameters from a preset processing parameter template library according to the characteristic information of the to-be-processed die module, and carrying out parameter optimization by combining the specific size and precision requirements of the module to generate a standardized processing task parameter packet; S3, based on an open numerical control system architecture, calling a logic instruction in a processing task parameter packet, completing dynamic reorganization of a processing shaft linkage relation, a tool path planning rule and auxiliary equipment control logic, and realizing self-adaptive adaptation of a numerical control system and hardware interfaces of processing equipment, detection equipment and material transmission equipment; S4, the numerical control system drives the processing equipment to complete automatic tool replacement, automatic workpiece clamping and automatic execution of a processing path according to the reorganized configuration information, and controls the material conveying equipment to realize distribution of processed materials; s5, acquiring a surface image of the die module by using a machine vision device, acquiring cutting force data in the machining process by using a binding force sensing device, detecting machining dimensional accuracy, surface roughness and machining stability in real time, and triggering a numerical control system to carry out parameter self-adaptive adjustment when abnormality is detected.
2. The numerical control automatic machining process for the mechanical die for rapid remanufacturing according to claim 1, wherein the die module feature library further comprises machining priority, assembly relation and compatible machining equipment model information of each module, and the machining priority, assembly relation and compatible machining equipment model information are stored in a standardized format to support rapid retrieval and updating of module information.
3. The numerical control automatic machining process for mechanical dies for rapid recombination manufacturing according to claim 1, wherein the machining parameter template library covers standard machining parameters of different materials and different machining types, the parameter optimization process is realized by adopting a genetic algorithm and combining finite element simulation analysis, and the optimization variables are machining parameter vectors consisting of cutting speed, feeding amount and cutting depth Constructing a dual-objective fitness function with the goal of maximizing machining efficiency and minimizing machining errors Wherein As a function of the processing efficiency, the processing device, As a function of the processing precision, Is a weight coefficient and satisfies And (3) through selection, crossover and mutation iteration operation optimization parameters of a genetic algorithm, acquiring cutting force and cutting temperature data as constraint conditions by combining finite element simulation, and finally outputting an optimal machining parameter combination.
4. The numerical control automatic machining process for the mechanical die for rapid recombination manufacturing according to claim 1, wherein the S3 adopts a modularized programming idea, machining control logic is disassembled into a tool control sub-module, a shaft linkage control sub-module and an auxiliary equipment control sub-module, rapid recombination of the machining logic is realized through dynamic combination of the sub-modules, and a standardized communication protocol is adopted for hardware interface adaptation.
5. The numerical control automatic machining process for the mechanical die for rapid remanufacturing according to claim 1, wherein in the step S5, a machine vision device is used for collecting a surface image of a die module to obtain machining dimensional accuracy and surface roughness data, a binding force sensing device is used for collecting cutting force fluctuation data in a machining process, the two types of data are compared with a preset accuracy threshold and a preset force fluctuation threshold to realize abnormality judgment, and when abnormality is detected, parameter self-adaptive adjustment amplitude is set in a grading mode according to abnormality severity.
6. The numerical control automatic machining process for the mechanical die for rapid re-assembly manufacturing of claim 1, further comprising S6 of tracking and optimizing machining data, uniformly storing parameter configuration information, equipment operation data and quality detection data in the machining process, and continuously updating a machining parameter template library and a numerical control system re-assembly configuration strategy by analyzing the association rule of machining parameters and machining quality.
7. The numerical control automatic processing technology for the mechanical die for rapid recombination manufacturing according to claim 1, wherein the S1 adopts a functional structure mapping method, and combines the functional characteristics of forming, positioning and guiding of the die to establish a mapping relation between functions and structures.
8. The numerical control automatic processing technology of the mechanical die for rapid recombination manufacturing of claim 1, wherein the hardware interface self-adaptation in S3 is matched with a preset interface feature library through collecting communication protocol features and pin definition information of an equipment interface, and interface parameter configuration is automatically completed.
9. The numerical control automatic processing technology for mechanical dies for rapid remanufacturing according to claim 1, wherein the step S4 is performed automatically by adjusting the motion speed and the acceleration of the path nodes according to the processing characteristics and the motion characteristics of the device of the die module.
10. The numerical control automatic machining process for the mechanical die for rapid remanufacturing according to claim 1, wherein the abnormal grading process in S5 selects size deviation, surface defect degree and cutting force fluctuation amplitude as evaluation indexes, and grades are graded according to preset standards, and different grades correspond to different treatment strategies.

Description

Mechanical die numerical control automatic processing technology for rapid recombination manufacturing Technical Field The invention belongs to the technical field of machining of mechanical dies, and particularly relates to a numerical control automatic machining process of a mechanical die for rapid recombination manufacturing. Background Along with the deep transformation of the manufacturing industry to multiple varieties, small batches and customized directions, the requirement of the market on the iteration speed of the product is continuously improved. The machining requirement of the mechanical die presents remarkable characteristics of high-frequency transformation and quick response, the traditional batch type and immobilized die machining mode is difficult to match with the flexible production requirement of the current manufacturing industry, and development of a machining process support industry with quick recombination capability is needed. At present, the machining process of the mechanical die commonly adopted in the industry is characterized in that in the specific implementation process, machining flow planning is required to be carried out independently aiming at dies of different specifications and different types, special tool fixtures and machining equipment are matched, and key links such as debugging of the machining equipment, tool replacement, setting of machining parameters, clamping and positioning of the die and the like are manually completed, so that a traditional mode of one set of machining scheme of the die is formed. When the mold is required to be changed, the process planning and equipment debugging of the whole process are required to be carried out again, so that the mold changing period is overlong, the recombination adaptability is extremely poor, a large number of key links depend on manual operation, the labor cost is increased, the stability of the machining precision is easily influenced due to manual operation errors, the degree of automation is low, meanwhile, a real-time sensing and self-adaptive adjusting mechanism for abnormal conditions such as cutter abrasion, material deviation and equipment failure is lacking in the machining process, batch waste products are easily caused once problems occur, and the production cost is further increased. Therefore, we provide a mechanical die numerical control automatic processing technology for rapid recombination manufacture to solve the above problems. Disclosure of Invention The invention aims to provide a numerical control automatic machining process for a mechanical die for rapid recombination manufacture, which solves the problems of poor recombination adaptability, low transformation efficiency and insufficient degree of automation of the traditional mechanical die machining process in the prior art. In order to solve the technical problems, the invention is realized by the following technical scheme. The invention relates to a mechanical die numerical control automatic processing technology for rapid recombination manufacturing, which comprises the following steps: s1, disassembling a die into a standardized module based on the functional characteristics and the machining precision requirements of a mechanical die, and constructing a die module feature library comprising the module size, the material and the machining features; s2, matching basic processing parameters from a preset processing parameter template library according to the characteristic information of the to-be-processed die module, and carrying out parameter optimization by combining the specific size and precision requirements of the module to generate a standardized processing task parameter packet; S3, based on an open numerical control system architecture, calling a logic instruction in a processing task parameter packet, completing dynamic reorganization of a processing shaft linkage relation, a tool path planning rule and auxiliary equipment control logic, and realizing self-adaptive adaptation of a numerical control system and hardware interfaces of processing equipment, detection equipment and material transmission equipment; S4, the numerical control system drives the processing equipment to complete automatic tool replacement, automatic workpiece clamping and automatic execution of a processing path according to the reorganized configuration information, and controls the material conveying equipment to realize distribution of processed materials; s5, acquiring a surface image of the die module by using a machine vision device, acquiring cutting force data in the machining process by using a binding force sensing device, detecting machining dimensional accuracy, surface roughness and machining stability in real time, and triggering a numerical control system to carry out parameter self-adaptive adjustment when abnormality is detected. The invention further provides that the die module feature library also comprises processing priority,