首页|基于数字孪生的铣削加工智能监控平台

基于数字孪生的铣削加工智能监控平台

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数字孪生与制造领域的结合日益密切,数字孪生可以帮助机床在智能制造环境下实现自主监控、评估和推理,显著提升智能化水平.本文开发面向机床铣削加工过程的数字孪生智能监控平台,可实现物理制造过程和虚拟数据模型之间的实时交互.为了实现不同模块之间、物理机器与虚拟模型之间的双向连接,基于硬件抽象层开发思想,构建了数据采集模块与数字孪生监控平台,并与开放式数控系统集成.该数字孪生监控平台拥有松耦合、模块化和易于扩展的特性,其中集成了由动力学分析模型和人工智能算法等构建的数据分析孪生模型,可以实现铣削颤振辨识与抑制、表面形貌预测等功能.经过加工试验验证,该监控平台在实际制造环境中的性能良好.
Intelligent Monitoring Platform for Milling Machining Based on Digital Twin
Combination of digital twin and manufacturing field is increasingly close.Digital twin can help machine tools achieve autonomous monitoring,evaluation and reasoning in an intelligent manufacturing environment and significantly improve intelligence.In this paper,we develop a digital twin intelligent monitoring platform for the milling process of machine tools,which can realize real-time interaction between the physical manufacturing process and its virtual data model.In order to realize the bidirectional connection between different modules and between the physical machine and the virtual model,the data acquisition module and the digital twin monitoring platform are built based on the idea of hardware abstraction layer development and integrated with the open CNC system.The digital twin monitoring platform has the features of loose coupling,modularity and easy expansion,which integrates the data analysis twin model built by dynamics analysis model and artificial intelligence algorithm.It can realize the functions of milling chatter identification and suppression,surface topography prediction,etc.The machining experiments have been verified to demonstrate the good performance of the monitoring platform in the actual manufacturing environment.

Intelligent manufacturingDigital twinIntelligent human-machine interfaceMilling machiningChatter monitoring

童寿维、黄树海、舒倩、宋剑鑫、金鸿宇、卓越

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西南技术工程研究所,重庆 400039

哈尔滨工业大学机器人系统与技术国家重点实验室,哈尔滨 150001

智能制造 数字孪生 智能人机界面 铣削加工 颤振监测

国家自然科学基金

51805116

2024

航空制造技术
北京航空制造工程研究所

航空制造技术

CSTPCD北大核心
影响因子:0.403
ISSN:1671-833X
年,卷(期):2024.67(11)