| WANG Cheng-wei,LI Xiu-hong,LI Wen-hui,WANG Na,CAO Bo.Material Removal Behavior of Aluminum Alloy Workpiece in Wet Spindle Barrel Finishing Process[J],48(9):307-314 |
| Material Removal Behavior of Aluminum Alloy Workpiece in Wet Spindle Barrel Finishing Process |
| Received:November 17, 2018 Revised:September 20, 2019 |
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| DOI：10.16490/j.cnki.issn.1001-3660.2019.09.037 |
| KeyWord:barrel finishing wet type spindle-type aluminum alloy material removal model numerical simulation response surface methodology |
| Author | Institution |
| WANG Cheng-wei |
1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan , China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan , China |
| LI Xiu-hong |
1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan , China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan , China |
| LI Wen-hui |
1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan , China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan , China |
| WANG Na |
1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan , China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan , China |
| CAO Bo |
1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan , China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan , China |
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| Abstract: |
| The work aims to propose a material removal model suitable for finishing of aluminum alloy workpiece during the wet spindle-type barrel finishing. The FLUENT two-phase flow module was used to simulate the p•v value under different parameters, and the response surface method was used to fit the multiple regression model of four main parameters and p•v. Based on this, a modified material removal model was established based on the Preston equation to perform processing experiments and investigate the relationship between MRR, Ra after processing and surface topography of the workpiece. P value of the workpiece axial distance from the wall and the drum speed term was <0.05 in the analysis of variance and had significant influence on MRR (the former was negatively correlated with MRR and the latter was positively correlated with MRR). The model was verified by experiment. The average relative error of workpiece’s MRRth and MRRex was only 6.32%, thus proving the validity of the model. With the increase of MRR, Ra after processing firstly decreased and then increased. MRR was 21 mg/h, Ra was 0.816 µm and the knife was still very obvious. When MRR value was 59 mg/h, the lowest value of Ra was 0.472 µm, the knife was completely removed, the surface texture was smooth and the processing effect was the best. When MRR reached the extreme value, Ra was 0.693 µm, the surface texture became rough and uneven, and the processing effect was poor due to excessive processing ability of the abrasive block. A material removal model with process parameters as independent variables is established to provide theoretical basis for selecting parameters; and experimental research shows that there is no positive correlation between processing capacity and effect. |
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