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Characteristic Analysis and Cutting-In Prediction of Abrasive Water Jet Emergency Cutting Steel

  • S.I. : Computations & Experiments on Dynamics of Complex Fluid & Structure
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Abstract

According to the application requirements of abrasive water jet emergency cutting steel, the cutting characteristics of different steels are analyzed from the aspects of cutting erosion section, cutting-in and cutting parameters by experimental research method. What’s more, the effects of operating parameters such as jet pressure, target distance, nozzle diameter, cutting angle, transverse speed, abrasive concentration and repeated cutting times on cutting-in are emphatically analyzed; Combined with the experimental data, AMPSO (Adaptive Mutation Particle Swarm Optimization)—BP (Back Propagation) neural network and AMPSO-SVM (Support Vector Machine) algorithm are designed to predict the cutting-in. The results showed that the erosion sections of different steels had similar morphology, and the trailing and roughness characteristics of the sections were closely related to the cutting-in; Compared with pre-mixing high pressure cutting, post-mixing ultra-high pressure cutting had deeper and finer slits, but there was a larger uncut area at the tail; Pressure, target distance and transverse speed were the key operating parameters affecting cutting-in. Both AMPSO-BP and AMPSO-SVM algorithm can predict cutting-in with mean relative errors of 10.03% and 6.34% respectively.

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Funding

Fund project: Project of Quartermaster Materials and Oil Department of General Logistics Department (YX213C208); Chongqing Natural Science Foundation of China (cstc2019jcyj-msxmX0268); Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN202012906)

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Authors and Affiliations

  1. Army Logistics Academy, Chongqing, 401311, China

    Y. Jiang, J. Li & J. Guan

  2. Chongqing Vocational Institute of Engineering, Chongqing, 402260, China

    S. Deng

  3. Chinese People’s Liberation Army 91724 Troops, Hangzhou, 315800, Zhejiang, China

    X. Chen

  4. Chinese People’s Liberation Army 92983 Troops, Qingdao, 266042, China

    S. Yao

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  1. Y. Jiang
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  2. S. Deng
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  3. J. Li
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  4. X. Chen
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  5. J. Guan
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  6. S. Yao
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Correspondence to J. Li.

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Jiang, Y., Deng, S., Li, J. et al. Characteristic Analysis and Cutting-In Prediction of Abrasive Water Jet Emergency Cutting Steel. Exp Tech 47, 197–209 (2023). https://doi.org/10.1007/s40799-022-00585-2

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  • DOI: https://doi.org/10.1007/s40799-022-00585-2

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