硬车削淬硬轴承钢GCr15表面粗糙度的试验研究

采用陶瓷刀具进行淬硬轴承钢GCr15的硬车削加工试验,并通过正交试验分析和方差分析给出试验范围内的最优加工参数组合。基于所建立的表面粗糙度经验模型,分析切削速度、进给量和刀尖圆弧半径对表面粗糙度的影响规律。试验与仿真分析表明,增大刀尖圆弧半径可有效降低已加工表面的表面粗糙度,而提高切削速度可使表面粗糙度略有下降;当进给量增大时,表面粗糙度几乎线性增加。同时,进给量对表面粗糙度的影响最大,刀尖圆弧半径次之,而切削速度的影响微弱。     

硬态干式车削淬硬钢SKD11表面粗糙度试验研究

应用单因素法研究了PCBN 刀具硬态干式切削淬硬钢SKD11过程中,进给量、切削速度、背吃刀量、刀尖圆弧半径和倒棱宽度等参数对表面粗糙度的影响规律.     

淬硬钢高速硬车削表面粗糙度的试验研究

采用PCBN刀具进行高速硬车削AISI P20淬硬钢的切削试验,并通过正交试验分析给出试验范围内的最优加工参数组合。基于所建立的表面粗糙度经验模型,采用数值仿真的方法分析切削速度、进给量、切削深度和刀尖圆弧半径对表面粗糙度的影响规律。结果表明,增大切削速度和刀尖圆弧半径可有效降低表面粗糙度,而当进给量增大时,表面粗糙度显著增加;同时,进给量对表面粗糙度的影响最大,刀尖圆弧半径次之,切削速度也有较大影响,而切削深度的影响则非常微弱。     

PCBN刀具硬态切削淬硬轴承钢GCr15表面粗糙度试验与预测

对典型淬硬轴承钢GCr15进行了不同切削用量和不同PCBN刀具几何参数条件下的表面粗糙度切削试验。试验分析表明,进给量和刀尖圆弧半径是影响表面粗糙度的主要因素,背吃刀量对表面粗糙度影响较小,但背吃刀量和切削速度的交互作用对粗糙度有显著影响。运用反应曲面法（RSM）建立了硬态切削表面粗糙度预测模型,通过试验验证了预测模型的准确性。     

不锈钢车削表面残余应力的模拟与参数优化

采用有限元软件对304不锈钢干切削过程进行模拟,获得不同影响因素下的工件表面残余应力值。采用静态信噪比(S/N)和方差分析对仿真结果进行分析,得到切削速度、进给量、背吃刀量、刀尖圆弧半径和刀具前角对工件表面残余应力的影响情况,根据分析结果对各影响因素进行优化,并将优化后的参数进行实验对比验证。结果表明:切削速度、进给量、背吃刀量、刀尖圆弧半径、刀具前角对工件表面残余应力的贡献度分别为10.14%,15.19%,8.48%,62.42%,3.77%。     

车削参数对超高强度钢车削性能的影响

通过正交仿真试验分析300M钢在车削过程中切削速度V、背吃刀量a_p、进给量f以及刀尖圆弧半径r_ε对车削300M钢切削力的影响。采用方差分析法和极差分析法确定车削参数的最优组合,并检验4个因素对切削三向力的显著性。结果表明,4个因素中,背吃刀量a_p对切削力的影响最为显著,其次是进给量和刀尖圆弧半径,切削速度对切削力的影响程度最小。使用MATLAB软件对切削三向力与各个因素之间的关系进行多元线性回归分析,并建立切削三向力经验公式。通过对比分析经验公式与仿真分析得到的三向力,确定经验公式准确可靠。     

硬质合金刀具车削TC4粗糙度轮廓支承长度率试验研究

本文介绍了粗糙度轮廓支承长度率Rmr(c)评价指标的作用和概念,对涂层硬质合金刀具车削钛合金TC4时,切削用量对粗糙度轮廓的支承长度率的影响规律进行试验研究。试验结果表明:切削用量改变对粗糙度轮廓的支承长度率Rmr(c)影响不同,进给量f影响程度较大、切削速度v_c次之、背吃刀量a_p较小;刀尖圆弧半径r_ε对Rmr(c)的影响显著;R_a随进给量f的增大近似线性增大。     

硬车削滚动轴承套圈的试验研究

针对滚动轴承套圈硬车削加工过程中表面质量存在的问题,对硬车削过程中切削用量和刀具参数对表面粗糙度的影响进行了研究,采用CBN刀具进行了6205滚动轴承套圈的硬车削加工试验,将进给量、切削速度、切削深度和刀尖圆弧半径作为试验因子,通过正交试验分析了它们对零件加工后表面粗糙度的影响规律,并归纳出了该试验范围内的最佳切削用量和刀具参数组合。研究结果表明,进给量对表面粗糙度的影响最大,刀尖圆弧半径对表面粗糙度的影响次之,切削速度对表面粗糙度的有一定影响,切削深度对表面粗糙度的影响非常小。     

YG8硬质合金刀具干切削铝合金表面粗糙度及刀具磨损研究

采用YG8硬质合金刀具对铝合金进行干切削正交试验,采用共聚焦显微镜测量加工表面粗糙度,分析切削参数进给量、切削速度、背吃刀量对铝合金加工表面粗糙度的影响规律。结果表明:进给量对加工表面粗糙度影响较大,其次是切削速度,而背吃刀量的影响相对较小。采用扫描电子显微镜(SEM)观察刀具磨损表面形貌,采用能谱分析仪(EDS)对刀具磨损表面进行元素分析,分析研究了刀具磨损机理。     

精密硬态车削多元非线性回归模型与综合优化

采用均匀设计试验方法,分别建立了表面粗糙度、刀具切削行程、刀具径向振动的多元回归模型;以加工表面粗糙度最小、刀具寿命最大、刀具径向振动最小和切削效率最高为目标,对精密硬态车削过程进行了优化研究。结果表明:切削速度280 m/min,进给量0.03 mm/r,背吃刀量0.15 mm,刀尖圆弧半径0.8 mm为最佳参数组合,取得了良好的切削加工综合效果。研究成果可对精密硬态切削加工的参数选择提供借鉴和指导。     

Optimisation of machining parameters for turning operations based on response surface methodology

Design of experiments has been used to study the effect of the main turning parameters such as feed rate, tool nose radius, cutting speed and depth of cut on the surface roughness of AISI 410 steel. A mathematical prediction model of the surface roughness has been developed in terms of above parameters. The effect of these parameters on the surface roughness has been investigated by using Response Surface Methodology (RSM). Response surface contours were constructed for determining the optimum conditions for a required surface roughness. The developed prediction equation shows that the feed rate is the main factor followed by tool nose radius influences the surface roughness. The surface roughness was found to increase with the increase in the feed and it decreased with increase in the tool nose radius. The verification experiment is carried out to check the validity of the developed model that predicted surface roughness within 6% error.     

Experimental investigations of surface roughness in orthogonal turning of unidirectional glass-fiber reinforced plastic composites

Cutting parameters and the resulting cutting forces have a great effect on the machinability of materials during the turning process. The effects of cutting parameters on machinability have been examined by many researchers and studies on determination of suitable cutting conditions for various materials are still under investigation. In this study, surface roughness of unidirectional glass-fiber reinforced plastic composite was examined on the basis of cutting parameters such as depth of cut, feed rate, tool geometry, and cutting speed. The surface quality was found to relate closely to the feed rate, cutting speed, and cutting tool.     

[刀具及切削工艺]典型钛合金TC17车削过程鳞刺生成规律及其抑制措施

为研究钛合金车削过程中鳞刺生成规律及有效抑制措施,分析了影响鳞刺生成的主要因素,采用弯矩法解析了鳞刺折断规律,进而建立了切削参数、刀具几何参数与刀尖弯矩的数学描述模型;通过MATLAB对模型进行求解,获知切削速度对刀尖弯矩的影响最小,而切削深度、进给量、刀尖圆弧以及刀具主偏角4个因素决定了刀尖弯矩的大小。为验证描述模型的正确性,进行了典型钛合金TC17外圆周断续切削实验,采集在恒定切削速度、不同切削深度、不同进给量、不同主偏角及不同刀尖圆弧条件下的鳞刺样本数据,并获得鳞刺折断规律曲线。实验结果表明：在小于临界切削深度和大于临界进给量条件下,实验结果与数学描述模型整体趋势一致,证明了数学描述模型的正确性。研究结果可为钛合金的高品质加工提供工艺技术及刀具优选方面的数据支撑。     

基于正交试验法的W-Fe-Ni合金车削表面粗糙度研究

运用正交试验法对W-Fe-Ni合金半球试件车削加工表面粗糙度进行了试验,并采用极差分析法分析了试验结果。结果表明,球形零件的加工表面粗糙度随进给量、切削深度的增大而增大,随切削速度的增大而减小,其中进给量是最主要的影响因素,其次为切削深度,切削速度的影响很小。     

Statistical model to determine surface roughness when milling hastelloy C-22HS

The aim of this study is to develop the surface roughness prediction models, with the aid of statistical methods, for hastelloy C-22HS when machined by PVD and CVD coated carbide cutting tools under various cutting conditions. These prediction models were then compared with the results obtained experimentally. By using response surface method (RSM), first order models were developed with 95 % confidence level. The surface roughness models were developed in terms of cutting speed, feed rate and axial depth using RSM as a tool of design of experiment. In general, the results obtained from the mathematical models were in good agreement with those obtained from the machining experiments. It was found that the feed rate, cutting speed and axial depth played a major role in determining the surface roughness. On the other hand, the surface roughness increases with a reduction in cutting speed. PVD coated cutting tool performs better than CVD when machining hastelloy C-22HS. It was observed that most of the chips from the PVD cutting tool were in the form of discontinuous chip while CVD cutting tool produced continuous chips.     

The use of D-optimal design for modeling and analyzing the vibration and surface roughness in the precision turning with a diamond cutting tool

Using a diamond cutting tool in the precision turning process, the vibration of tool-tip has an undesirable effect on the machined surface??s quality. The objective of this paper is to present the mathematical models for modeling and analyzing the vibration and surface roughness in the precision turning with a diamond cutting tool. Machining parameters including the spindle speed, feed rate and cutting depth were chosen as numerical factor, and the status of lubrication was regarded as the categorical factor. An experimental plan of a four-factor??s (three numerical plus one categorical) D-optimal design based on the response surface methodology was employed to carry out the experimental study. A micro-cutting test is conducted to visualize the effect of vibration of tool-tip on the performance of surface roughness. With the experimental values up to a 95% confidence interval, it is fairly well for the experimental results to present the mathematical models of the vibration and surface roughness. Results show that the spindle speed and the feed rate have the greatest influence on the longitudinal vibration amplitude, and the feed rate and the cutting depth play major roles for the transverse vibration amplitude. As the spindle speed increases, the overall vibration of tool-tip tends to more stable condition which leads to the results of the best machined surface. The effects of the feed rate and cutting depth provide the reinforcement on the overall vibration to cause the unstability of cutting process and exhibit the result of the worst machined surface.     

基于响应曲面法的表面粗糙度预测模型的建立与切削参数的优选

文中通过试验设计的方法研究了高速精加工中切削参数的选择对表面粗糙度的影响.采用响应曲面法建立表面粗糙度的响应模型,分析了切削速度、进给量、背吃刀量对表面粗糙度的影响以及切削参数的优选.结果显示背吃刀量对表面粗糙度的影响最为显著,进给量次之,切削速度影响最小.在表面粗糙度选定的情况下,优先选择背吃刀量可以提高加工效率.     

高速车削镍基高温合金GH4169的切削力仿真研究

基于Deform 3D仿真软件建立了GH4169高温合金高速车削的有限元模型,采用四因素三水平正交试验方法研究了切削用量和刀具几何参数对切削力的影响规律,并建立了切削力经验公式。研究结果表明:在高速车削GH4169的过程中,对切削力影响最大的参数是切削深度,其次是进给量和前角,最后是刀尖圆弧半径;切削力随切削深度和进给量的增大而增大,随前角的增大呈现先降低又升高的趋势,而刀尖圆弧半径增大时切削力变化不大;最佳参数组合为:进给量0.2mm/r,切削深度0.4mm,前角10°,刀尖圆弧半径0.2mm。