期刊
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
卷 11, 期 1, 页码 225-257出版社
HONG KONG POLYTECHNIC UNIV, DEPT CIVIL & STRUCTURAL ENG
DOI: 10.1080/19942060.2016.1277556
关键词
Fuzzy prediction; AWJ; turbulence characteristics; multi phase; flow model
资金
- National Natural Science Foundation of China [51575116, U1601204]
- China National Spark Program [2015GA780065]
- Innovative Academic Team Project of Guangzhou Education System [1201610013]
- Science and Technology Planning Project of Guangdong Province [2016A010102022]
- Science and Technology Planning Project of Guangzhou Municipal Government [2016J4100025]
- Water Resource Science and Technology Program of Guangdong Province of China [2012-11]
- Postgraduate Education Innovation Program of Guangdong Province [2016SQXX14]
- Foundation for Fostering the Scientific and Technical Innovation of Guangzhou University [GZHU[2016]-92]
- Key Integration Project of Industry, Education and Research of Guangzhou University
For the purpose of improving the working performance of AWJ (Abrasive waterjet) grinding in actual machining, and revealing the unknown influence mechanism of waterjet machining prediction, this research conducted a theoretical and experimental investigation concerning with the influences caused by multi-phase flow models, on the fuzzy prediction of turbulence characteristics. First, typical flow models describing the abrasive waterjet were presented and enunciated; Second, a series of turbulence characteristics were defined to quantitatively demonstrate the waterjet flow, which are responsible for the actual performances of AWJ grinding in the contact zone; Then a new fuzzy prediction system equipped with logic protocols was established and introduced to predict turbulence characteristics based upon the machining parameters by employing different flow models, therefore a set of quantified prediction results generated from the CFD (Computational Fluid Dynamics) simulation, orthogonal experiments and actual measurements can be obtained and distinguished systematically. Through a detailed performance analysis with benchmark indexes and prediction comparisons, the theoretical superiorities and specific applications of these flow models were fully discussed and then an integrated conclusion assessing their inherent influence mechanism was acquired. Based on these innovative achievements, the instantaneous machining inspection or parameter optimization in AWJ grinding process can be facilitated, simultaneously the new research ideas aimed at waterjet monitoring or grinding improvements can be presented as well.
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