Automatic Equipment Design of Intelligent Manufacturing Flexible Production Line Based on Industrial Motorized Spindle

Based on the previous research on the production line automation, this paper carries out further research and further design and development on the basis of the original production line automation equipment. In this paper, the overall design of the automatic production line is carried out, and the various systems in the automatic production line are optimized, and the backward instruments are eliminated, and then some more advanced and convenient instruments are applied. Then, the hardware and software of the automatic production line are studied respectively, and the human-computer interaction module and real-time main control circuit module are re developed, and the electric shaft is applied to the automatic production line. Finally, the fuzzy PID controller of the stepping motor is designed. The experiment shows that the fuzzy PID control scheme is better than the traditional PID control scheme. After the rationalization of the system, the quality robustness of proactive planning is improved obviously. Then, the temperature of motorized spindle was tested.

Analysis on Design and Manufacturing Technology and Precision Machining Technology of Woodworking Machinery

High speed machining (HSM) has become a development trend of modern manufacturing industry. It can not only significantly improve the production efficiency of products, but also greatly improve the machining accuracy and surface quality of production parts and reduce the production cost. Wood processing involves many processing processes such as sawing, milling and drilling. The compact four head motorized spindle can basically meet the milling and drilling requirements of wood processing. This paper studies the design, manufacturing technology and precision machining technology of woodworking machinery. This paper mainly adopts the finite element analysis method and applies the finite element analysis software ANSYS Workbench to simulate and model the woodworking four head high-speed motorized spindle, then analyzes and calculates its dynamic and static characteristics, and comprehensively considers the main influencing factors on the dynamic and static characteristics of motorized spindle. The test results show that the method proposed in this paper is of great significance to improve the actual working performance of motorized spindle.

Research on Thermal Error Modeling of Motorized Spindle Based on BP Neural Network Optimized by Beetle Antennae Search Algorithm

High-speed motorized spindle heating will produce thermal error, which is an important factor affecting the machining accuracy of machine tools. The thermal error model of high-speed motorized spindles can compensate for thermal error and improve machining accuracy effectively. In order to confirm the high precision thermal error model, Beetle antennae search algorithm (BAS) is proposed to optimize the thermal error prediction model of motorized spindle based on BP neural network. Through the thermal characteristic experiment, the A02 motorized spindle is used as the research object to obtain the temperature and axial thermal drift data of the motorized spindle at different speeds. Using fuzzy clustering and grey relational analysis to screen temperature-sensitive points. Beetle antennae search algorithm (BAS) is used to optimize the weights and thresholds of the BP neural network. Finally, the BAS-BP thermal error prediction model is established. Compared with BP and GA-BP models, the results show that BAS-BP has higher prediction accuracy than BP and GA-BP models at different speeds. Therefore, the BAS-BP model is suitable for prediction and compensation of spindle thermal error.

Modeling and Analysis of Unbalanced Magnetic Pull in Synchronous Motorized Spindle Considering Magneto-thermal Coupling

The unbalanced magnetic pull (UMP) is one of the main vibration sources of the motorized spindle. A calculation model of UMP in a synchronous motorized spindle considering the magneto-thermal coupling is proposed in this paper. The finite element analysis models of the electromagnetic field and the temperature field of a motorized spindle are first established. Then a two-way coupling analysis method considering the effect of temperature variations on electromagnetic material properties of the motor is proposed. An experiment is conducted to verify the efficiency of this method. The thermal deformations of the spindle are calculated and used to analyze the air-gap variations between rotor and stator of the built-in motor. The 3D finite element electromagnetic model is adopted to calculate the UMP in the motorized spindle. The analysis results show that the eccentricity caused by thermal deformation can generate large UMP in the motorized spindle.

Research on Availability Function Deployment for Motorized Spindle based on User Requirement

Users are the basis for the survival and development of enterprises. Only by understanding user requirement can products have sufficient competitiveness. In this paper, the machining center motorized spindle is taken as the research object. Based on the user requirement, this paper takes the motorized spindle as the research object, and combines the failure performance characteristics to expand the availability function. This method can transform the requirement information into the availability improvement strategy of the motorized spindle weak links, which is an effective method to quickly improve the availability level of the machining center motorized spindle.

Thermoelectric-based cooling system for high-speed motorized spindle II: Optimization and validation strategy

With the development of motorized spindle, the cooling effect and the distribution of cooling capacity become the crucial problem of cooling system. An optimization method for ThermoElectric-based Cooling System (TECS) is proposed based on the conservation of energy to distribute the cooling capacity. The main strategy of the proposed optimization method is to make the cold and heat input at different regions of the spindle sleeve equal in real-time through optimizing the contact area between the Heat Conduction Sleeve (HCS) and spindle sleeve. The numerical simulation and thermal characteristics experiments are carried to verify the effect of the proposed optimization method and the TECS. The simulation and experimental results show that the maximum temperature rise and thermal elongation of the TECS-based motorized spindle are reduced 56.7% and 58.6% compared with water-cooled motorized spindle, and the temperature distribution of the spindle sleeve is more uniform. It is meaningful to improve the accuracy of motorized spindle.

Thermoelectric-based cooling system for high-speed motorized spindle I: Design and control mechanism

With the increase of spindle speed, heat generation becomes the crucial problem of high-speed motorized spindle. A new cooling system for motorized spindle is proposed based on the principles of thermoelectric refrigeration and fast heat conduction. The main strategy of the proposed ThermoElectric-based Cooling System (TECS) is using the ThermoElectric Cooler (TEC) to cool the spindle through a Heat Conduction Sleeve (HCS). The TEC is designed according to the heat generation of motorized spindle. The cooling capacity generated by the TEC is controlled by electric current passing through the TEC according to the temperature rise of HCS. The HCS is designed to distribute the cold quickly and is installed around the spindle sleeve working as cooling medium. The simulation results show that the cooling effect of the proposed TECS is better than water water-cooling system. It is meaningful to improve the accuracy of motorized spindle.

Research on Temperature Field Prediction Model of Electric Spindle Based on Improved BP Neural Network

The motorized spindle is the core component of CNC machine tools. In order to ensure its processing performance and processing safety, the temperature field of motorized spindle is studied. The three-dimensional model of the motorized spindle is established, and the convective heat transfer coefficient of the internal heat load and the simulation boundary condition are calculated by combining the heat transfer theory. The simulation is carried out by the finite element analysis software, and the internal temperature distribution of the motorized spindle under thermal steady state is calculated. Based on the numerical simulation analysis method and the thermal balance test method, the data basis for the prediction model of the motorized spindle temperature field is provided. The traditional BP neural network algorithm and PSO-BP neural network algorithm are used to predict the temperature of the motorized spindle measuring point under specific working conditions, and the temperature field prediction results are compared and analyzed. The results show that the PSO-BP neural network prediction model has good compatibility for variable data input, and the prediction results show little difference, which has high prediction accuracy and robustness.