王程伟,李秀红,李文辉,王娜,曹波.湿式主轴式滚磨光整加工中铝合金试件的材料去除行为研究[J].表面技术,2019,48(9):307-314.
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].Surface Technology,2019,48(9):307-314
湿式主轴式滚磨光整加工中铝合金试件的材料去除行为研究
Material Removal Behavior of Aluminum Alloy Workpiece in Wet Spindle Barrel Finishing Process
投稿时间:2018-11-17  修订日期:2019-09-20
DOI:10.16490/j.cnki.issn.1001-3660.2019.09.037
中文关键词:  滚磨光整加工  湿式  主轴式  铝合金  材料去除模型  数值模拟  响应曲面法
英文关键词:barrel finishing  wet type  spindle-type  aluminum alloy  material removal model  numerical simulation  response surface methodology
基金项目:国家自然科学基金(51875389);山西省自然科学基金(201701D121073,201801D111002)
作者单位
王程伟 1.太原理工大学 机械工程学院,太原 030024;2.精密加工山西省重点实验室,太原 030024 
李秀红 1.太原理工大学 机械工程学院,太原 030024;2.精密加工山西省重点实验室,太原 030024 
李文辉 1.太原理工大学 机械工程学院,太原 030024;2.精密加工山西省重点实验室,太原 030024 
王娜 1.太原理工大学 机械工程学院,太原 030024;2.精密加工山西省重点实验室,太原 030024 
曹波 1.太原理工大学 机械工程学院,太原 030024;2.精密加工山西省重点实验室,太原 030024 
AuthorInstitution
WANG Cheng-wei 1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan 030024, China 
LI Xiu-hong 1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan 030024, China 
LI Wen-hui 1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan 030024, China 
WANG Na 1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan 030024, China 
CAO Bo 1.School of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China; 2.Shanxi Key Laboratory of Precision Machining, Taiyuan 030024, China 
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中文摘要:
      目的 针对湿式主轴式滚磨光整加工工艺,提出适用于铝合金试件光整加工的材料去除模型。方法 通过FLUENT两相流模块模拟不同参数下p•v值,用响应曲面法拟合4个主要参数和p•v的多元回归模型,在此基础上,基于Preston方程建立修正的材料去除模型,进行加工实验,探究工件的MRR、加工后Ra和表面形貌之间的关系。结果 方差分析中,工件轴心距筒壁距离和滚筒转速项的P<0.05,两者对MRR影响显著,且前者与MRR负相关,后者与MRR正相关。对模型进行加工实验验证,工件MRRth和MRRex的平均相对误差仅为6.32%,证明模型的有效性。随工件MRR的递增,加工后Ra值先减后增,MRR值为21 mg/h时,Ra为0.816 µm,工件刀纹仍很明显;MRR值为59 mg/h时,Ra达到最低值0.472 µm,工件刀纹完全去除,表面纹理细致平整,加工效果最佳;当MRR达极值时,Ra为0.693 µm,表面纹理变得粗糙不平,由于滚抛磨块的加工能力过强,导致加工效果较差。结论 建立了以工艺参数为自变量的材料去除模型,为选择参数提供一定的理论依据,且实验研究得出,加工能力与加工效果之间不存在正向相关性。
英文摘要:
      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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