38CrMoAl切削加工性及刀具快速优选研究

发布时间：2018-04-23 16:57

本文选题：切削加工性 + 磨损　；参考：《浙江海洋学院》2015年硕士论文

【摘要】：38Cr Mo Al钢广泛用于船舶及汽车发动机、塑机零件等的生产制造,多数采用切削的方式对其进行加工。切削刀具材料性能的优劣会对加工质量、效率及成本等有重要影响。目前市场上的刀具种类、数量繁多,由于没有专门针对大量刀具材料的优选技术和评价方法,企业在选择刀具上花费的时间与实验成本较多。本文以38Cr Mo Al为实验材料,针对钢材切削加工性中的首要指标——磨损值,探究了刀具的筛选方式及加工参数的优化。主要包括以下几个方面:在掌握了刀具形态检测方法原理的理论知识基础上,选用基于计算机视觉的检测方法,设计了多种简便的刀具磨损测量装置方案,并根据各部件的性能特点不断改进,最终确定了一种较为可靠的方案,使其能方便地获取刀面磨损图像,并在利用软件对图像进行简单标定后即可得出磨损值;在一定的实验条件下,以不同材料的同型号车刀对38Cr Mo Al进行切削实验,通过初期磨损速度和刀具耐用度之间存在的关联性,筛选出磨损程度较低,即耐用度较高的刀具;使用筛选出的刀具,针对切削速度、进给量和切削深度等三个切削参数进行切削实验,再对实验所得数据运用多元线性回归方法进行分析,应用到泰勒经验公式的数学模型,并验证了其相关性。
[Abstract]:38Cr Mo-Al steel is widely used in the manufacture of ship and automobile engine, plastic parts and so on, most of which are machined by cutting. The quality of cutting tool material will have an important effect on machining quality, efficiency and cost. At present, there are many kinds of cutting tools in the market. Due to the lack of special selection techniques and evaluation methods for a large number of cutting tools, enterprises spend more time and experimental costs on tool selection. In this paper, using 38Cr Mo-Al as the experimental material, aiming at the most important index of steel machinability, the wear value, the selection method of cutting tools and the optimization of machining parameters are studied. It mainly includes the following aspects: on the basis of mastering the theoretical knowledge of tool shape detection method and selecting the detection method based on computer vision, a variety of simple tool wear measuring device schemes are designed. Finally, a more reliable scheme is determined according to the performance characteristics of each component, which makes it easy to obtain the tool surface wear image, and the wear value can be obtained after the image is simply calibrated by the software. Under certain experimental conditions, the cutting experiments of 38Cr Mo-Al were carried out with the same type of turning tools of different materials. Through the correlation between the initial wear speed and the tool life, the tool with lower wear degree, that is, the tool with higher durability, was selected. The cutting experiments are carried out with the selected cutting tool aiming at the cutting speed, feed rate and cutting depth. The experimental data are analyzed by multivariate linear regression method, and applied to the mathematical model of Taylor's empirical formula. The correlation is verified.
【学位授予单位】：浙江海洋学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG71;TG506

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