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Parameter Optimization and Effect Analysis of Low-Pressure Abrasive Water Jet (LPAWJ) for Paint Removal of Remanufacturing Cleaning

Author

Listed:
  • Sheng Xiong

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
    National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China)

  • Xiujie Jia

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
    National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China)

  • Shuangshuang Wu

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
    National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China)

  • Fangyi Li

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
    National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China)

  • Mingliang Ma

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
    National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China)

  • Xing Wang

    (Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan 250061, China
    National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan 250061, China)

Abstract

As an environmentally friendly method, water jet (WJ) technology plays a significant role in the field of remanufacturing cleaning. The cleaning capacity of a WJ is severely restricted by the water pressure, while the impact force will be too large and may damage the cleaned substrate as well as cause energy waste if the pressure is too high. However, by adding abrasives, the cleaning capacity of a low-pressure water jet (LPWJ) will be considerably improved. Although abrasive water jet (AWJ) technology has been used in mechanical machining for decades, very limited research work can be found in the literature for remanufacturing cleaning. In this paper, the role of abrasives in low-pressure abrasive water jet (LPAWJ) cleaning was described. Cleaning performance with different parameters (abrasive feed rate condition, water pressure and standoff distance) in paint removal was experimentally investigated by using the Taguchi design of experiment. The experimental results indicated that the water pressure was the most dominant factor and the optimal parameter combination was the second feed rate condition, 9 MPa water pressure and 300 mm standoff distance. The influence law between the cleaning performance and various factors was explored, which can provide remanufacturers with directions in selection of the optimal parameters in the LPAWJ cleaning process. By designing contrast experiments, the results showed that the cleaning capacity of an LPAWJ is better than that of a pure LPWJ and the residual effect in terms of changes in surface roughness, residual stress and morphology is a little larger.

Suggested Citation

  • Sheng Xiong & Xiujie Jia & Shuangshuang Wu & Fangyi Li & Mingliang Ma & Xing Wang, 2021. "Parameter Optimization and Effect Analysis of Low-Pressure Abrasive Water Jet (LPAWJ) for Paint Removal of Remanufacturing Cleaning," Sustainability, MDPI, vol. 13(5), pages 1-13, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2900-:d:512554
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    References listed on IDEAS

    as
    1. Wei Meng & Xiufen Zhang, 2020. "Optimization of Remanufacturing Disassembly Line Balance Considering Multiple Failures and Material Hazards," Sustainability, MDPI, vol. 12(18), pages 1-16, September.
    2. Fiona Charnley & Divya Tiwari & Windo Hutabarat & Mariale Moreno & Okechukwu Okorie & Ashutosh Tiwari, 2019. "Simulation to Enable a Data-Driven Circular Economy," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
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