摘要
通过分析传统机电工艺中非线性动态关系、多参数耦合等技术问题,提出基于数字孪生的机电工艺流程优化方法。研究涉及切削加工参数动态优化、装配过程路径规划与公差控制、质量检测闭环反馈三大关键技术方法,并以高精度齿轮箱加工案例验证其有效性。实践表明,数字孪生赋能能够显著提高加工效率与产品质量,减少人工干预,为机电制造领域的智能化转型提供理论基础与实施路径。
The article proposes a digital twin based optimization method for electromechanical process flow by analyzing technical issues such as nonlinear dynamic relationships and multi parameter coupling in traditional electromechanical technology.The research involves three key technical methods:dynamic optimization of cutting parameters,assembly process path planning and tolerance control,and quality inspection closed-loop feedback.Its effectiveness is verified through high-precision gearbox machining cases.Practice has shown that digital twin empowerment can significantly improve processing efficiency and product quality,reduce manual intervention,and provide a theoretical basis and implementation path for the intelligent transformation of the electromechanical manufacturing field.
作者
董庆来
DONG Qinglai(Jiangsu Taodu Vocational School,Wuxi 214211)
出处
《现代制造技术与装备》
2026年第1期166-168,共3页
Modern Manufacturing Technology and Equipment
关键词
数字孪生
机电工艺
虚实映射
digital twin
electromechanical process
virtual-real mapping
