节点文献
难加工材料高速铣削的试验研究
Experimental Study on the Difficult-to-cut Material Machined by High-speed Milling
【作者】 李占杰;
【导师】 王凤岐;
【作者基本信息】 天津大学 , 机械制造及其自动化, 2007, 硕士
【摘要】 高速切削加工作为当今的一个先进制造工艺方法,己成为现代数控加工技术的重要发展方向,是继数控技术后,制造业的一次最大突破。高速切削加工技术因其突出的优点在国外得到了极为迅速的发展和广泛应用。结合生产实际,进行高速切削机理的深入研究,是摆在我们面前的紧迫课题之一,无论是基础研究还是应用研究都将对我国的金属加工业意义重大。本课题在分析国内外高速切削技术及现状的基础上,结合天津市高等学校科技发展基金项目(编号:20041108)“难加工材料高速切削关键技术研究”,从生产实际出发,对难加工材料的高速铣削进行试验研究,以期对实际生产起到一定的指导作用。主要研究内容如下:1)对难加工材料切削加工、高速切削加工国内外发展概况、研究方法和体系进行综合分析研究,并以此为出发点开展相关研究;2)进行试验设计和高速铣削不锈钢1Cr18Ni9的正交试验,采集切削力和粗糙度数据;3)对切削力和粗糙度数据进行定性分析(极差分析)和定量分析(多元线性回归和逐步回归分析、RBF神经网络分析),并对各种方法进行比较。确定了影响切削力和粗糙度的主要因素,并建立了具有较高精度的切削力和粗糙度预测模型;4)以切削力和粗糙度为目标优化切削参数,并得出优化的参数组合。可有效的指导生产。最后,对论文研究工作进行了总结,并提出了进一步研究的设想。
【Abstract】 As an advanced manufacturing technology, High Speed Machining (HSM) has become an important trend of modern NC machining technology and the greatest breakthrough in manufacturing after NC technology. Because of its advantages, HSM technology has been developed and used very quickly and widely in developed countries. A deep research on the HSM mechanism combined with machining practice is one of our urgent tasks, which is very important to both basic and application research for the manufacturing. Combined with the project of the Tianjin College Science and Technology Developing Found, Research on the Critical HSM Technology of Difficult-to-cut Material (No.20041108), experimental research on a typical difficult-to-cut material 1Cr18Ni9 is done from machining practice in this paper, which is expected to guide actual production.The main works are as follows:1) Machining of difficult-to-cut materials, the developing situation of HSM technology, research methods and architecture of HSM are summarized and related research is developed after that;2) Experimental design and the orthogonal experiment of HSM stainless steel 1Cr18Ni9 are done and experimental data is collected;3) Qualitative analysis (range analysis) and quantitative analysis (multiple linear regression, stepwise regression analysis and RBF neural network) about milling forces and roughness are carried out. Those analytic methods are compared. The main factors that affect milling forces and roughness are ascertained and the predictable models are established;4) Cutting parameters are optimized by taking milling forces and roughness as objectives respectively and the combination of cutting parameters that can guide actual production effectively is obtained;In the end, the whole work is summarized and the direction of further study is put forward.
【Key words】 Difficult-to-cut Material; High Speed Milling; Regression Analysis; Neural Network; Parameter Optimization;