Application of infrared thermal testing and mathematical models for studying the temperature distributions of the high-speed waterjet

Cui, Longlian; An, Liqian; Mao, Lingtao

doi:10.1016/j.jmatprotec.2008.11.010

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…Regarding the temperature measured during waterjetting (W t ), there have been some reports published. One of the latest reports from Cui et al (2009) shows that the temperature of free running waterjet (without grit) measured by an infrared thermal imager was found to be between 21.5 • C and 23.5 • C distributed along the jet axial direction for a distance of 1-100 mm. Ohadi et al (1992) found that the macro temperature on a material (e.g.…”

Section: Critical Comments On Thermal Effect Of Waterjet Versus Phasementioning

confidence: 99%

Challenges in using waterjet machining of NiTi shape memory alloys: An analysis of controlled-depth milling

Kong

Axinte

Voice

2011

Journal of Materials Processing Technology

106

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Section: Critical Comments On Thermal Effect Of Waterjet Versus Phasementioning

confidence: 99%

Challenges in using waterjet machining of NiTi shape memory alloys: An analysis of controlled-depth milling

Kong

Axinte

Voice

2011

Journal of Materials Processing Technology

106

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“…More progresses relating to the important influences caused by flow models on the AWJ characteristic determinations can be found from (Atashbar Orang, Razavi, & Pourmirzaagha, 2014;Cui, An, Mao, & Li, 2009;Kumar Pal & Choudhury, 2014;Lebar, Junkar, Poredoš, Cvjeticanin, 2010). After introducing the idea of fuzzy prediction, we can see that more researchers began paying their high attentions on this new method, since it returns an accurate and stable prediction result from miscellaneous data sets.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models

Liang

Shan

Liu

et al. 2017

Engineering Applications of Computational Fluid Mechanics

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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. ARTICLE HISTORY

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Locating method of fire source for spontaneous combustion of sulfide ores

Shi

2011

J. Cent. South Univ. Technol.

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In order to achieve a more efficient way to accurately detect the position of the fire source of spontaneous combustion underground mine, a simple fire source locating method, based on infrared scanning system which can determine the point where the highest temperature on the surface of igniting ores occurs, was proposed. First, the differential equations that describe heat flow in ore body were presented and the relationship between the surface temperature distribution and the depth and intensity of inner fire source was established with a relatively simple heat transfer model. With the solution of equation, the expression of the relationship between the surface temperature distribution and the inner fire source was deduced and the mathematical-physical model of heat transfer process was set up. Then, with the model, visualization of fire source on the basis of MATLAB simulation platform was realized. The results show that: 1) within 10 m, when the detecting depth is less than 2 m, the temperature perturbation on ores surface can change rapidly, and then slowly; after 4 m, in contrast, it changes very little, and is even close to zero at 10 m; 2) When it is close to self-ignition duration and the detective depths are 2, 5 and 10 m, respectively, the maximum temperature differences are correspondingly 0.5, 0.04 and 0.005 °C in the scope of 1 m×1 m; under the same condition, the maximum temperature differences are 1.391, 0.136 and 0.018 °C, respectively, in the scope of 2 m×2 m. Therefore, this system can be used to measure the temperature differences on the surface of ore body and determine the highest temperature point directly. Also, it is possible to determine the depth of fire source and its intensity by locating method of fire source indirectly.

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Application of infrared thermal testing and mathematical models for studying the temperature distributions of the high-speed waterjet

Cited by 5 publications

References 9 publications

Challenges in using waterjet machining of NiTi shape memory alloys: An analysis of controlled-depth milling

Challenges in using waterjet machining of NiTi shape memory alloys: An analysis of controlled-depth milling

Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models

Locating method of fire source for spontaneous combustion of sulfide ores

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