Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models. Issue 1 (1st January 2017)
- Record Type:
- Journal Article
- Title:
- Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models. Issue 1 (1st January 2017)
- Main Title:
- Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models
- Authors:
- Liang, Zhongwei
Shan, Shiyin
Liu, Xiaochu
Wen, Yiheng - Abstract:
- ABSTRACT: 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 grindingABSTRACT: 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. … (more)
- Is Part Of:
- Engineering applications of computational fluid mechanics. Volume 11:Issue 1(2017)
- Journal:
- Engineering applications of computational fluid mechanics
- Issue:
- Volume 11:Issue 1(2017)
- Issue Display:
- Volume 11, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 11
- Issue:
- 1
- Issue Sort Value:
- 2017-0011-0001-0000
- Page Start:
- 225
- Page End:
- 257
- Publication Date:
- 2017-01-01
- Subjects:
- Fuzzy prediction -- AWJ -- turbulence characteristics -- multi phase -- flow model
Computational fluid dynamics -- Periodicals
620.10640285 - Journal URLs:
- http://www.tandfonline.com/toc/tcfm20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/19942060.2016.1277556 ↗
- Languages:
- English
- ISSNs:
- 1994-2060
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11769.xml