Process Parameters Optimization of Wet Shot Peening for Paint Cleaning
Wet shot peening (WSP) cleaning technology has the advantages of being green, having a high efficiency, and producing almost no pollution to the environment. Under the development trend of green environmental protection, WSP is more and more desired by the public. However, in the study of WSP cleani...
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MDPI AG
2021
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oai:doaj.org-article:251c450c69ee43c584fc3c14c6c2ebdb2021-11-25T19:05:28ZProcess Parameters Optimization of Wet Shot Peening for Paint Cleaning10.3390/su1322129152071-1050https://doaj.org/article/251c450c69ee43c584fc3c14c6c2ebdb2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12915https://doaj.org/toc/2071-1050Wet shot peening (WSP) cleaning technology has the advantages of being green, having a high efficiency, and producing almost no pollution to the environment. Under the development trend of green environmental protection, WSP is more and more desired by the public. However, in the study of WSP cleaning paint, there is little research on process parameter optimization. Accordingly, this article uses an orthogonal experiment, taking the cleaning efficiency and the substrate removal mass as objectives, to optimize the parameters of pressure, stand-off distance, traverse rate, and cleaning times. The experimental results show that the cleaning efficiency is improved by increasing the pressure, stand-off distance, and traverse rate or decreasing the cleaning times within the scope of this experiment. The pressure and cleaning times are positively correlated with the substrate removal mass, whereas the traverse rate is negatively correlated. As the stand-off distance increases, the substrate removal mass initially increases and then decreases. The traverse rate has a significant influence on the cleaning efficiency and the substrate removal mass. The optimal process parameters based on the cleaning efficiency are 0.45 MPa pressure, 140 mm stand-off distance, 5 mm/s traverse rate, and one-time cleaning. Besides, the cleaning efficiency at such conditions is 64.23 %/min. Additionally, the substrate removal mass is optimized under 0.25 MPa pressure, 60 mm (or 140 mm) stand-off distance, 5 mm/s traverse rate, and one-time cleaning to give a substrate removal mass of approximately zero. The analysis of parameters provides a reference for selecting the parameters in the actual application of WSP cleaning.Shuangshuang WuXiujie JiaSheng XiongFangyi LiMingliang MaXing WangChenghao LiMDPI AGarticlewet shot peening cleaningparameter optimizationcleaning efficiencyratioEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12915, p 12915 (2021) |
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wet shot peening cleaning parameter optimization cleaning efficiency ratio Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
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wet shot peening cleaning parameter optimization cleaning efficiency ratio Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Shuangshuang Wu Xiujie Jia Sheng Xiong Fangyi Li Mingliang Ma Xing Wang Chenghao Li Process Parameters Optimization of Wet Shot Peening for Paint Cleaning |
description |
Wet shot peening (WSP) cleaning technology has the advantages of being green, having a high efficiency, and producing almost no pollution to the environment. Under the development trend of green environmental protection, WSP is more and more desired by the public. However, in the study of WSP cleaning paint, there is little research on process parameter optimization. Accordingly, this article uses an orthogonal experiment, taking the cleaning efficiency and the substrate removal mass as objectives, to optimize the parameters of pressure, stand-off distance, traverse rate, and cleaning times. The experimental results show that the cleaning efficiency is improved by increasing the pressure, stand-off distance, and traverse rate or decreasing the cleaning times within the scope of this experiment. The pressure and cleaning times are positively correlated with the substrate removal mass, whereas the traverse rate is negatively correlated. As the stand-off distance increases, the substrate removal mass initially increases and then decreases. The traverse rate has a significant influence on the cleaning efficiency and the substrate removal mass. The optimal process parameters based on the cleaning efficiency are 0.45 MPa pressure, 140 mm stand-off distance, 5 mm/s traverse rate, and one-time cleaning. Besides, the cleaning efficiency at such conditions is 64.23 %/min. Additionally, the substrate removal mass is optimized under 0.25 MPa pressure, 60 mm (or 140 mm) stand-off distance, 5 mm/s traverse rate, and one-time cleaning to give a substrate removal mass of approximately zero. The analysis of parameters provides a reference for selecting the parameters in the actual application of WSP cleaning. |
format |
article |
author |
Shuangshuang Wu Xiujie Jia Sheng Xiong Fangyi Li Mingliang Ma Xing Wang Chenghao Li |
author_facet |
Shuangshuang Wu Xiujie Jia Sheng Xiong Fangyi Li Mingliang Ma Xing Wang Chenghao Li |
author_sort |
Shuangshuang Wu |
title |
Process Parameters Optimization of Wet Shot Peening for Paint Cleaning |
title_short |
Process Parameters Optimization of Wet Shot Peening for Paint Cleaning |
title_full |
Process Parameters Optimization of Wet Shot Peening for Paint Cleaning |
title_fullStr |
Process Parameters Optimization of Wet Shot Peening for Paint Cleaning |
title_full_unstemmed |
Process Parameters Optimization of Wet Shot Peening for Paint Cleaning |
title_sort |
process parameters optimization of wet shot peening for paint cleaning |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/251c450c69ee43c584fc3c14c6c2ebdb |
work_keys_str_mv |
AT shuangshuangwu processparametersoptimizationofwetshotpeeningforpaintcleaning AT xiujiejia processparametersoptimizationofwetshotpeeningforpaintcleaning AT shengxiong processparametersoptimizationofwetshotpeeningforpaintcleaning AT fangyili processparametersoptimizationofwetshotpeeningforpaintcleaning AT mingliangma processparametersoptimizationofwetshotpeeningforpaintcleaning AT xingwang processparametersoptimizationofwetshotpeeningforpaintcleaning AT chenghaoli processparametersoptimizationofwetshotpeeningforpaintcleaning |
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1718410266807369728 |