Research On The Methods And Key Techniques Of Monitoring Thermal Characteristics Of A NC Machine Tool Spindle Based On Coupling Self-powered Wireless Sensoring

This paper, which focuses on the problems of the existing spindle thermal characteristics monitoring technology, presents the methods and key techniques of monitoring thermal characteristics of a NC machine tool spindle based on coupling self-powered wireless sensoring. This research aims at finding solutions of the spindle intelligent thermal monitoring application.Firstly, paper discusses the research status of thermal characteristics of machine tool spindle. The limitation of the normal methods of the spindle thermal characteristics monitoring in the researches is analyzed. According to the above, the new method of monitoring thermal characteristics of a NC machine tool spindle based on coupling self-powered wireless sensing is proposed, and the important parts of this research are wireless sensors of the optimal installation under the actual working conditions of NC machine tool and the key techniques of wireless temperature sensors’energy harvesting in the progress of monitoring thermal characteristics.When dealing with the problem of the communication reliability between wireless sensors, this paper proposes the research on the constraint-based wireless sensor placement on spindles for thermal performance monitoring. In the research. the mutual information in information theory are introduced to describe and calculate the temperature measuring point and the correlation of the spindle thermal deformation; At the same time, the connectivity diagram is used to analyze the wireless communication path between sensors, and the artificial fish algorithm is used to choose the optimal points.When dealing with the problem of the energy havesting of wireless temperature sensors, there three parts of researches are carried out in this paper:the first, in order to know thermoelectric coupling energy collection characteristics in the working time of the spindle, the thermal network theory is adopted to analyze the output power characteristics of the heat-electricity conversion. The model of the thermal power generation components and spindle is given, and the special designing of the corresponding experiment platform is used to verify the simulation result. The second, in order to further improve the efficiency of energy harvesting, the optimal structure of the thermal power generation components are studied. Finite element method is used to analyze the heat effect and structure of the heat sink. The meshless method is used to analyze the thermal structure of the heat-conducting plate. The design criterions of the heat sink and the heat-conducting plate is proposed, and the experiments verify the validity of this criterions. The third, the system based on coupling self-powered wireless sensing is studied, and the optimal circuit topology and the optimal control method is given. Finally, experiments are used to verify the correctness of the theoretical analysis and feasibility. A NC machine tool spindle thermal monitoring experiment system platform, which is based on coupling self-powered wireless sensoring is designed, and the spindle temperature is monitored and the thermal deformation is predicted in the experiment. The spindle thermal deformation model is established through the thermal deformation and the temperature of the spindle and it is proved the effectiveness and superiority of the methods and key techniques of monitoring thermal characteristics of a NC nachine tool spindle based on coupling self-powered wireless sensoring.