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| 干式硬态车削淬硬工具钢Cr12MoV表面粗糙度试验与预测模型 | |
| 引用本文： | 唐林虎,黄建龙,高成秀,罗文翠,程仲文,张军平.干式硬态车削淬硬工具钢Cr12MoV表面粗糙度试验与预测模型[J].兰州理工大学学报,2012,38(2):34-36. |
| 作者姓名： | 唐林虎 黄建龙 高成秀 罗文翠 程仲文 张军平 |
| 作者单位： | 1. 兰州理工大学 机电工程学院,甘肃兰州730050;兰州工业高等专科学校机械工程系,甘肃兰州730050 2. 兰州理工大学 机电工程学院,甘肃兰州,730050 3. 兰州工业高等专科学校机械工程系,甘肃兰州,730050 |
| 摘 要： | 使用PCBN刀具对不同淬硬状态工具钢Cr12MoV进行精密干式硬态车削试验,运用正交实验法分析切削速度、试件硬度、刀具前角、切削深度4个因素间的交互作用,得到最优车削条件.利用多元回归法,借助应用数学软件SPSS技术,建立表面粗糙度的线性模型与指数模型,并对这2种模型进行比较.试验表明:影响表面粗糙度最显著的因素是切削速度与淬火硬度,切削深度影响最小,指数模型比线性模型预测精度高. |
| 关 键 词： | 精密干式硬态车削 淬硬工具钢 正交实验法 多元回归分析 表面粗糙度 预测模型 |
Surface roughness experiment and prediction model of hardened tool steel Cr12MoV after dry hard turning |
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| TANG Lin-hu , HUANG Jian-long , GAO Cheng-xiu , LUO Wen-cui , CHENG Zhong-wen , ZHANG Jun-ping.Surface roughness experiment and prediction model of hardened tool steel Cr12MoV after dry hard turning[J].Journal of Lanzhou University of Technology,2012,38(2):34-36. | |
| Authors: | TANG Lin-hu HUANG Jian-long GAO Cheng-xiu LUO Wen-cui CHENG Zhong-wen ZHANG Jun-ping |
| Institution: | 1.College of Mechno-Electronic Engineering,Lanzhou Univ.of Tech.,Lanzhou 730050,China;2.Dept.of Mechanical Engineering,Lanzhou Polytechnical College,Lanzhou 730050,China) |
| Abstract: | An experiment on accurate finish dry hard turning of tool steel Cr12MoV with various hardening was conducted with PCBN cutting tool.The interaction effects of cutting speed,hardness of workpiece,rake angle of the tool and depth of cut were analyzed by using orthogonal experimental method and the optimum cutting parameters were obtained.A linear prediction model and an exponential prediction model for surface roughness were developed by utilizing multiple regression analysis(MRA) and mathematical analysis software SPSS.Then the two models were compared.The experimental results indicated that the cutting speed and quenching hardness had clearly a significant influence on the surface roughness.The effect of the depth of cut on the surface roughness was the smallest.Prediction accuracy of exponential prediction model for surface roughness was higher than that of the linear prediction model. |
| Keywords: | accurate dry hard turning(ADHT) hardened tool steel orthogonal experiment method multiple regression analysis(MRA) surface roughness prediction model |
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