Open Access Paper
12 November 2024 High-speed dry hobbing geometry parameterization and hobbing simulation
Shufeng Jiang, Hezeng Tang
Author Affiliations +
Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133952T (2024) https://doi.org/10.1117/12.3049803
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
In order to explore the cutting force, cutting temperature and cutting parameters and other key factors in the high-speed dry hobbing process between the influence of the relationship and change rule. In this paper, based on the principle of hobbing combined with cutting mechanics and heat transfer theory, the cutting force and cutting temperature during highspeed dry hobbing are modeled, and the relationship between the average cutting force and the feed, cutting speed and back-eating amount is derived from the results of finite-element simulation, and the parametric equations of the tangential force and the radial force empirically are derived from the coordinate transformation and input empirical values, and the empirical parametric regression equations of the axial force are derived, respectively. The method of calculating cutting force and cutting temperature under high-speed dry hobbing conditions is derived, respectively. This research provides a theoretical basis and experimental basis for further exploring the intrinsic mechanism of high-speed dry hobbing, including cutting force, cutting temperature and machining dynamics, etc., so that the traditional hobbing cutting method can be developed in the direction of more energy-saving, high-efficiency and precision.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shufeng Jiang and Hezeng Tang "High-speed dry hobbing geometry parameterization and hobbing simulation", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133952T (12 November 2024); https://doi.org/10.1117/12.3049803
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KEYWORDS
Manufacturing

Teeth

Clouds

Computer simulations

Industry

Motion models

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