z-logo
open-access-imgOpen Access
Geometric simulation of power skiving of internal gear using solid model with triple-dexel representation
Author(s) -
Masatomo Inui,
Yu Huang,
Hideaki Onozuka,
Nobuyuki Umezu
Publication year - 2020
Publication title -
procedia manufacturing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.504
H-Index - 43
ISSN - 2351-9789
DOI - 10.1016/j.promfg.2020.05.078
Subject(s) - computation , machining , machine tool , representation (politics) , process (computing) , power (physics) , solid modeling , computer science , enhanced data rates for gsm evolution , graphics , mechanical engineering , engineering , engineering drawing , algorithm , computer graphics (images) , artificial intelligence , physics , quantum mechanics , politics , law , political science , operating system
Gear manufacturing is a fundamental technology for machine production. Power skiving has rapidly become an efficient method for the manufacturing of internal high-precision gears. To analyze the cutting force during power skiving, a geometric simulation of the power skiving process, particularly a visualization of the resulting machining shape and a prediction of the chip geometry generated during the cutting process, is important. In this study, we propose a novel method for precisely simulating the power skiving process using solid modeling. The resulting shape of power skiving is computed by repeatedly subtracting the swept volume of the cutting edge from a solid model of the workpiece. To realize a robust computation in a subtraction operation, a solid model with triple-dexel representation is used to represent the workpiece shape. To accelerate the operations, the parallel processing function of a graphics processing unit (GPU) is used. An experimental simulation system is implemented, and some computational experiments are conducted.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom