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<p>Large free-form surface workpieces are prone to deformation during production and transportation due to their weak stiffness. However, the existing imitation machining methods have a low degree of intelligence and can cause significant deviations in the thickness of the surface insulation layer, which poses a fatal safety hazard to the operation of the equipment. This article proposes a method for optimizing the quality of insulation layer processing based on digital twin technology to address the issues of insufficient quality and low levels of intelligence in the processing of insulation layers for large workpieces. Firstly, a machining quality diagnosis method based on a reference circle was proposed to detect defects in the initial precision machining trajectory fitted by B-splines. Secondly, the machining trajectory was corrected using an iterative optimization method with high-weight control points. Then, the thermal insulation layer of the storage tank was precision machined through actual machining. Finally, the feasibility and effectiveness of the method were verified through actual machining.</p>

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Research on optimization of machining quality of large complex surfaces based on digital twin technology

  • 期刊论文

  • 发表日期：

    2025年2月19日

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  • Tianfeng Qi,
  • Hairong Fang,
  • Yulin Liu,
  • Yufei Chen,
  • Zhengxian Jin,
  • Yubo Yang

摘要

Large free-form surface workpieces are prone to deformation during production and transportation due to their weak stiffness. However, the existing imitation machining methods have a low degree of intelligence and can cause significant deviations in the thickness of the surface insulation layer, which poses a fatal safety hazard to the operation of the equipment. This article proposes a method for optimizing the quality of insulation layer processing based on digital twin technology to address the issues of insufficient quality and low levels of intelligence in the processing of insulation layers for large workpieces. Firstly, a machining quality diagnosis method based on a reference circle was proposed to detect defects in the initial precision machining trajectory fitted by B-splines. Secondly, the machining trajectory was corrected using an iterative optimization method with high-weight control points. Then, the thermal insulation layer of the storage tank was precision machined through actual machining. Finally, the feasibility and effectiveness of the method were verified through actual machining.