DocumentCode :
2325522
Title :
Research on the precision processing method for softness abrasive two-phase flow based on LSM
Author :
Ji, Shiming ; Weng, Xiaoxing ; Tan, Dapeng
Author_Institution :
Key Lab. of Mech. Manuf. & Autom., Zhejiang Univ. of Technol., Hangzhou, China
fYear :
2010
fDate :
10-12 April 2010
Firstpage :
53
Lastpage :
57
Abstract :
According to the precision machining problem of the structural surface mould manufacturing process, a method for soft grits two-phase flow precision processing on the level set method (LSM) is proposed. Based on the topological structure transformation of LSM, the mechanics model of liquid-liquid two phase flow in mould structuring surface precision machining was established. And the interface parameters of the abrasive two-phase flow were captured. Combining the Navier-Stokes equation, Volume of fluid Method (VOF) and SIMPLEC algorithm, the basic motion rule and related physical parameters of abrasive two-phase flow are solved. Because the simulation results of speed and pressure changes of the softness abrasive two-phase flow through 90° square bent tube are in accordance with test results of Taylor etc, which validated the effectiveness of proposed method. It contributes to the further research on softness abrasive flow precision machining.
Keywords :
Navier-Stokes equations; abrasives; machining; moulding; precision engineering; two-phase flow; LSM; Navier-Stokes equation; SIMPLEC algorithm; level set method; precision machining; precision processing method; soft abrasive flow; soft grits two-phase flow; surface mould manufacturing process; volume-of-fluid method; Abrasives; Fluid flow; Level set; Machining; Manufacturing processes; Navier-Stokes equations; Optical arrays; Optical sensors; Surface finishing; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2010 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-6450-0
Type :
conf
DOI :
10.1109/ICNSC.2010.5461548
Filename :
5461548
Link To Document :
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