A novel machining parameter driven modeling method for 3D rough surface on vibrating finishing

• Published in: International journal of advanced manufacturing technology Vol. 135; no. 11; pp. 5695 - 5714
• Main Authors: Zhang, Hao, Shao, Wen, Tang, Jinyuan, Li, Xin, Chen, Jiling
• Format: Journal Article
• Language: English
• Published: London Springer London 01.12.2024; Springer Nature B.V
• Subjects: Abrasive finishing; Abrasive machining; CAE) and Design; Computer-Aided Engineering (CAD; Deformation effects; Elastic deformation; Elastic limit; Engineering; Error analysis; Industrial and Production Engineering; Mechanical Engineering; Media Management; Modelling; Morphology; Original Article; Particle size; Plastic deformation; Prediction models; Predictions; Process parameters; Surface hardness; Three dimensional analysis; Topography; Vibration analysis; Workpieces; Predictive modeling; Elastic–plastic deformation; Surface topography; Roller; Vibration finishing
• ISSN: 0268-3768; 1433-3015
• DOI: 10.1007/s00170-024-14835-7

Accurate modeling of submicron-scale rough surfaces based on machining parameters represents the forefront of precision manufacturing. Currently, there is limited research on precisely modeling the three-dimensional topography resulting from vibration finishing processes. This study explores a novel method for modeling rough surfaces in vibration finishing, focusing on a roller as the subject of investigation. The approach considers the elastic and plastic deformation principles of discrete random abrasive particles impacting the workpiece surface. By knowing the normal and tangential velocities of the abrasive particles relative to the workpiece, along with material parameters of both the abrasive particle and workpiece, quantitative formulas are derived. These formulas estimate the depth of permanent deformation caused by individual abrasive particle impacts and calculate the number of particles involved within a specified machining time. The cumulative effect of all particle impacts yields the final three-dimensional surface morphology. Experimental validation is conducted using a roller post-shot peening, comparing its surface morphology before and after processing. The study finds a mere 8.65% average error between the predictive model and experimental results, affirming the model’s efficacy. Furthermore, the influence of abrasive particle diameter and workpiece surface hardness on roughness is analyzed. The three-dimensional topography prediction model proposed in this paper can effectively improve the control ability of vibration finishing process, which has positive guiding significance for production practice.