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Computational fluid analysis of abrasive waterjet cutting head

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Abstract

Waterjet cutting is an appealing technology for cutting thick materials with zones that must not be affected by heat. This paper presents computational fluid dynamics (CFD) and theoretical analyses to optimize the mixing of components by the multi-phase approach. Water, air, and abrasives are mixed in a mixing chamber. This modeling is used to predict the influence of air and abrasives on the mixing at different distances within the mixing tube. At the same time, particle tracking was conducted to monitor the erosion rate density at the nozzle wall. Results show that nozzle length has an effect on the mixing of water, air, and the abrasives, and that the velocity of the waterjet influences the erosion rate at the nozzle wall. The k-ɛ turbulence model was used for simulation of the abrasive coupled with air. This investigation reveals that the erosion in the nozzle body is higher at the initial zone and that as the length of the nozzle length increases, the volume fraction of air increases accordingly. The entrance of the orifice is affected by a highly pressurized water stream (with minimal particulate matter), which causes chipping at the leading edge. To reduce the turbulence inside the mixing chamber, the use of a vacuum assist could be helpful, but precautions should be taken in order that the abrasives do not escape from the mixing chamber.

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Correspondence to Md. G. Mostofa.

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Md. Golam Mostofa received his Bachelor degree in Mechanical Engineering from Bangladesh University of Engineering and Technology (BUET) in 2007. At present, he is pursuing his MS at Pusan National University (PNU). His research interests include industrial automation, system monitoring, computer-aided design and analysis, and optimizing mechanical system for best performance.

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Mostofa, M.G., Kil, K.Y. & Hwan, A.J. Computational fluid analysis of abrasive waterjet cutting head. J Mech Sci Technol 24, 249–252 (2010). https://doi.org/10.1007/s12206-009-1142-5

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  • DOI: https://doi.org/10.1007/s12206-009-1142-5

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