Papers by Keyword: Gear Hobbing Machine

Abstract: Static rigidity of workpeice spindle component is a very important index of the rigidity of derict-drive gear hobbing spindle unit. In this study, the static rigidity of workpiece spindle system were analyzed through a finite element method (EFM) by building geometric models and studying the deformation when radial cutting force was imposed. Experiments on workpiece were carried out with and without the assistance of tailstock center separately to measure the changes of the static rigidity of spindle. The results prove a less change of the static rigidity of spindle when with the assistance of tailstock center, which helps to ensure the accuracy and surface roughness of a workpiece.

Abstract: Thermal error modeling. Neural network. Gear hobbing machine. Error compensation. Abstract. Four key thermal sources of YK3610 hobbing machine were selected in this paper, and a thermal error model based on the four temperature variables was proposed by using back propagation neural network. A thermal error compensation system was developed based on the proposed model, and which has been applied to the YK3610 hobbing machine in daily production. The result shows that the prediction accuracy of thermal deformation in the YK3610 hobbing machine has been improved.

Abstract: Research on the effect of main spindle deformation which is caused by hobbing force of gear hobbing machine is an important way to diminish or control the machining tolerance of gear. This paper bases on the structure and technique parameter of some typical large-scale NC gear hobbing machine, and the theory of bend and deformation of beam, a novel equation was proposed in this paper to calculate the hobbing force and deformation by practical hobbing parameter. By calculating and analyzing gear hobbing force and deformation data, we can conclude a change rule between hobbing force and deformation with spindle rotative velocity and hobbing depth. And we can reach a conclusion that we should increase hob rotative velocity and feed in a small hobbing depth in several times, it will diminish cutting force, deformation of hob and workpiece spindle, which will improve the machining precision, efficiency and diminish product scrap ratio. It also prove this research approach has reference value for optimizing gear hobbingmachine structure design, choice of processing technique parameter and machining error prediction and compensation.

Abstract: While cutting big modulus hard gear with gear hobbing machine YB3180H, the vibration is big and the efficiency is low. To improve this situation, the pulse excitation method is used in analyzing the six steps modal of the gear hobbing machine. Through comparing with the body test modal analysis result, correcting and establishing 3 D ANSYS modal of the body, and the weakness of the machine tool vibration is confirmed by finite element analysis of 3D modal. the theoretical basis can be provided to the machining, the machinery design, improvement and optimization of the machine body.

Abstract: The thermal distortion of YK3610 hobbing machine is analyzed. The concept of clustering analysis is proposed and implemented on the gear hobbing machine. The model was used in the experimental of thermal error compensation. The results show that the thermal error compensation control system can reduce thermal errors significantly and the prediction accuracy of the thermal error model is high enough.

Abstract: This paper proposes a new thermal error modeling methodology called Clustering Regression Thermal Error Modeling which not only improves the accuracy and robustness but also saves the time and cost of gear hobbing machine thermal error model. The major heat sources causing poor machining accuracy of gear hobbing machine are investigated. Clustering analysis method is applied to reduce the number of temperature sensors. Least squares regression modeling approach is used to build thermal error model for thermal error on-line prediction of gear hobbing machine. Model performance evaluation through thermal error compensation experiments shows that the new methodology has the advantage of higher accuracy and robustness.

Abstract: Based on the synthetic analysis of thermal error sources, ICA (Independent component analysis) method is proposed to reduce the number of temperature sensor, and the selected temperature variables is used for thermal error modeling of gear hobbing machine. Finally, the hardware system of thermal error compensation is presented based on SCM (Single chip microcomputer) technique, and which is tested on Y3150K hobbing machine then. The results show that cumulative pitch error is reduced from 80μmto 20μm, and the machining accuracy is improved more than 2 grades.