基于数字孪生的弧齿型导引头伺服机构动态装调技术研究

To realize the monitoring of friction torque during the assembly of arc-tooth type servo mechanism, and thus guide the assembly process of multiple eccentric shafts and improve the efficiency of servo mechanism assembly. The difficulties and problems of the servo mechanism assembly and tuning process are analyzed and summarized; a digital twin framework for the fine manual assembly process is built to monitor the real-time assembly status of parts and guide the assembly process of workers in augmented reality form, forming a closed loop of "data monitoring – augmented reality guidance - worker assembly"; a new material strain-based friction torque measurement method is proposed to realize the friction torque monitoring of each support roller of the servo mechanism, which changes the assembly mode in which the arc-tooth servo mechanism is assembled without guidance and constantly relies on workers' experience for "trial and error" adjustment; the relevant hardware and software systems were designed and developed, on the basis of which two specific application techniques were proposed, namely, the visualization of errors of curved frame orbital surfaces and the real-time guidance of multi-eccentric axis assembly. In order to verify the feasibility of the proposed method and technology, relevant experiments are designed and conducted. The results show that with the assistance of the dynamic assembly digital twin system, the assembly workers can complete the assembly process faster and achieve the product assembly targets, which is of great significance to improve the assembly efficiency and product quality consistency of the seeker.