{"title":"A parameterized deposition rate model of electrostatic spraying rotating bell atomizer","authors":"Peilun Zhang, Weiguo Gao, Chen Zhao, Xuhao Wang, Xiangzhi Meng","doi":"10.1007/s11998-022-00721-y","DOIUrl":null,"url":null,"abstract":"<div><p>Compared with spray gun painting, electrostatic spraying rotating bell (ESRB) painting can provide better film-forming quality and higher adhesion rate, which is more suitable for automobile base coating. However, the complexity of the spray pattern of the ESRB and the automobile surface geometric makes the spray process planning a more challenging problem. This paper aims to provide a new parameterized model of the ESRB to facilitate the thickness calculation and trajectory planning in the off-line painting programming. Firstly, according to the distribution characteristics of paint particles and the force analysis of adhesion process, a new static deposition rate model—offset asymmetric Gaussian model is proposed on the plane. The parameters in the new model have intuitive practical significance and can fully reflect the characteristics of ESRB coating deposition rate. Then based on the analysis of the relationship between the static model and uniform linear spraying deposition, the static model is established by measuring the layer data of corresponding uniform linear spraying. In order to further simulate the paint thickness on curved surfaces, the projection model with variable spraying distance and deposition point normal deflection is also deduced. Finally, a parameterized static model and sampling points library are established which provide efficient and accurate prediction of static deposition result, and is more suitable for off-line programming. Three different groups of simulation proved that the proposed static deposition rate model has high calculation accuracy for different working conditions and fast simulation speed for different spraying parameters.</p></div>","PeriodicalId":48804,"journal":{"name":"Journal of Coatings Technology and Research","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11998-022-00721-y.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Coatings Technology and Research","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s11998-022-00721-y","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Chemistry","Score":null,"Total":0}
引用次数: 1
Abstract
Compared with spray gun painting, electrostatic spraying rotating bell (ESRB) painting can provide better film-forming quality and higher adhesion rate, which is more suitable for automobile base coating. However, the complexity of the spray pattern of the ESRB and the automobile surface geometric makes the spray process planning a more challenging problem. This paper aims to provide a new parameterized model of the ESRB to facilitate the thickness calculation and trajectory planning in the off-line painting programming. Firstly, according to the distribution characteristics of paint particles and the force analysis of adhesion process, a new static deposition rate model—offset asymmetric Gaussian model is proposed on the plane. The parameters in the new model have intuitive practical significance and can fully reflect the characteristics of ESRB coating deposition rate. Then based on the analysis of the relationship between the static model and uniform linear spraying deposition, the static model is established by measuring the layer data of corresponding uniform linear spraying. In order to further simulate the paint thickness on curved surfaces, the projection model with variable spraying distance and deposition point normal deflection is also deduced. Finally, a parameterized static model and sampling points library are established which provide efficient and accurate prediction of static deposition result, and is more suitable for off-line programming. Three different groups of simulation proved that the proposed static deposition rate model has high calculation accuracy for different working conditions and fast simulation speed for different spraying parameters.
期刊介绍:
Journal of Coatings Technology and Research (JCTR) is a forum for the exchange of research, experience, knowledge and ideas among those with a professional interest in the science, technology and manufacture of functional, protective and decorative coatings including paints, inks and related coatings and their raw materials, and similar topics.