Hongyang Wang , Chuanzhen Huang , Zhenyu Shi , Zhen Wang , Longhua Xu , Shuiquan Huang , Yipeng Li , Meina Qu , Zhengkai Xu , Dijia Zhang , Baosu Guo , Tianye Jin , Hanlian Liu , Dun Liu , Peng Yao
{"title":"新型抛光不锈钢材料去除率及粗糙度模型","authors":"Hongyang Wang , Chuanzhen Huang , Zhenyu Shi , Zhen Wang , Longhua Xu , Shuiquan Huang , Yipeng Li , Meina Qu , Zhengkai Xu , Dijia Zhang , Baosu Guo , Tianye Jin , Hanlian Liu , Dun Liu , Peng Yao","doi":"10.1016/j.ijmecsci.2025.110844","DOIUrl":null,"url":null,"abstract":"<div><div>Pre-mixed abrasive water jet (PAWJ) technology has been widely applied in surface machining and polishing. However, the traditional material removal volume and roughness model for stainless steel in PAWJ is empirical or semi-empirical with a significant error, and there is a lack of a theoretical model that conforms to actual processing conditions. Therefore, this paper develops a novel model for material removal volume and roughness, considering the effects of the elastic loading, elastic unloading, and plastic loading stages on the impact mechanics. The impact behavior of a single particle is analyzed using kinetic theory and Hertzian contact mechanics, and the condition for effective abrasive particles is established. Computational Fluid Dynamics (CFD) simulation is employed to obtain detailed information on particle impact at different process parameters, which is used to identify effective abrasive particles and serve as initial input for the model. The proposed model is verified through a series of polishing experiments, and the influence of process parameters on surface microstructures is analyzed by integrating CFD simulation results. Theoretical surface roughness agrees well with experimental results, with a maximum relative error of 17.49%. The error stems from two sources: the assumption of standard spherical particles, which underestimates impact depth and roughness due to the smaller contact area of actual angular particles; and residual material accumulates around the machining marks following PAWJ, in contrast to the assumption of complete material removal in modeling, leading to larger experimental results than theoretical ones. This paper provides an in-depth understanding of micro-scale material removal in PAWJ and a theoretical foundation for process optimization.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110844"},"PeriodicalIF":9.4000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New material removal volume and roughness model of polished stainless-steel\",\"authors\":\"Hongyang Wang , Chuanzhen Huang , Zhenyu Shi , Zhen Wang , Longhua Xu , Shuiquan Huang , Yipeng Li , Meina Qu , Zhengkai Xu , Dijia Zhang , Baosu Guo , Tianye Jin , Hanlian Liu , Dun Liu , Peng Yao\",\"doi\":\"10.1016/j.ijmecsci.2025.110844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Pre-mixed abrasive water jet (PAWJ) technology has been widely applied in surface machining and polishing. However, the traditional material removal volume and roughness model for stainless steel in PAWJ is empirical or semi-empirical with a significant error, and there is a lack of a theoretical model that conforms to actual processing conditions. Therefore, this paper develops a novel model for material removal volume and roughness, considering the effects of the elastic loading, elastic unloading, and plastic loading stages on the impact mechanics. The impact behavior of a single particle is analyzed using kinetic theory and Hertzian contact mechanics, and the condition for effective abrasive particles is established. Computational Fluid Dynamics (CFD) simulation is employed to obtain detailed information on particle impact at different process parameters, which is used to identify effective abrasive particles and serve as initial input for the model. The proposed model is verified through a series of polishing experiments, and the influence of process parameters on surface microstructures is analyzed by integrating CFD simulation results. Theoretical surface roughness agrees well with experimental results, with a maximum relative error of 17.49%. The error stems from two sources: the assumption of standard spherical particles, which underestimates impact depth and roughness due to the smaller contact area of actual angular particles; and residual material accumulates around the machining marks following PAWJ, in contrast to the assumption of complete material removal in modeling, leading to larger experimental results than theoretical ones. This paper provides an in-depth understanding of micro-scale material removal in PAWJ and a theoretical foundation for process optimization.</div></div>\",\"PeriodicalId\":56287,\"journal\":{\"name\":\"International Journal of Mechanical Sciences\",\"volume\":\"306 \",\"pages\":\"Article 110844\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mechanical Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0020740325009269\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020740325009269","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
New material removal volume and roughness model of polished stainless-steel
Pre-mixed abrasive water jet (PAWJ) technology has been widely applied in surface machining and polishing. However, the traditional material removal volume and roughness model for stainless steel in PAWJ is empirical or semi-empirical with a significant error, and there is a lack of a theoretical model that conforms to actual processing conditions. Therefore, this paper develops a novel model for material removal volume and roughness, considering the effects of the elastic loading, elastic unloading, and plastic loading stages on the impact mechanics. The impact behavior of a single particle is analyzed using kinetic theory and Hertzian contact mechanics, and the condition for effective abrasive particles is established. Computational Fluid Dynamics (CFD) simulation is employed to obtain detailed information on particle impact at different process parameters, which is used to identify effective abrasive particles and serve as initial input for the model. The proposed model is verified through a series of polishing experiments, and the influence of process parameters on surface microstructures is analyzed by integrating CFD simulation results. Theoretical surface roughness agrees well with experimental results, with a maximum relative error of 17.49%. The error stems from two sources: the assumption of standard spherical particles, which underestimates impact depth and roughness due to the smaller contact area of actual angular particles; and residual material accumulates around the machining marks following PAWJ, in contrast to the assumption of complete material removal in modeling, leading to larger experimental results than theoretical ones. This paper provides an in-depth understanding of micro-scale material removal in PAWJ and a theoretical foundation for process optimization.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.