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百叶轮抛磨叶片粗糙度预测建模与实验研究

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为提高叶片表面粗糙度,预先设置合理的工艺参数,本文采用机器人夹持叶片、百叶轮作为抛磨工具的加工方式,对百叶轮抛磨叶片进行正交实验分析,结合多因素线性回归分析方法研究了叶片表面粗糙度与抛磨力、百叶轮目数、叶片进给速度、百叶轮线速度4个工艺参数之间的关系,建立了叶片表面粗糙度预测模型;采用极差分析和方差分析研究了各工艺参数对叶片表面粗糙度的影响,得到较优工艺参数组合,最后对粗糙度预测模型的精度进行了实验验证.分析结果表明:影响叶片表面粗糙度工艺参数的先后顺序为:抛磨力>叶片进给速度>百叶轮线速度>百叶轮目数;在叶片表面粗糙度要求为Ra≤0.4μm的条件下,抛磨加工参数的最优水平组合为:百叶轮目数(320#),叶片进给速度(1.5mm/s),百叶轮线速度(12.147m/s),抛磨力(10N),最终叶片表面粗糙度在(0.2~0.3)范围内,符合加工要求.
Prediction Modeling and Experimental Research on Roughness of Polishing Blades of Abrasive Cloth Wheels
In order to improve the surface roughness of the blade and set reasonable process parameters in advance,this paper ad-opted the processing method that the robot grips the blade and the abrasive cloth wheel as a polishing tool,and orthogonal test analysis was carried out on the abrasive cloth wheel polishing blade,combined with the multi-factor linear regression analysis method,the relationship between the surface roughness and four process parameters of polishing pressure,the particles number of abrasive cloth wheels,the blade feed speed,and the abrasive cloth wheel linear speed are researched,then established the blade sur-face roughness prediction model.Range analysis and variance analysis were used to investigate the influence of process parameters on blade surface roughness,and the better combination of process parameters was got.Finally,experiments verified the accuracy of roughness prediction model.The results show that the order of process parameters affecting the blade surface roughness is:polish-ing pressure>blade feed speed>abrasive cloth wheel linear velocity>abrasive cloth wheel particles number.Under the condition that the surface roughness of the blade is Ra≤0.4μm,the optimal level combination of polishing processing parameters is:abrasive cloth wheels particles number(320#),abrasive cloth wheel linear speed(1.5mm/s),blade feed speed(12.147m/s),polishing pres-sure(10N).And the final blade surface roughness is in the range of 0.2 to 0.3,which meets the processing requirements.

BladeAbrasive Cloth WheelRobotRoughness Prediction ModelProcess Parameters

乔志杰、刘佳、杨胜强、李静铮

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太原理工大学机械与运载工程学院,山西太原 030024

精密加工山西省重点实验室,山西太原 030024

叶片 百叶轮 机器人 粗糙度预测模型 工艺参数

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.406(12)