切削参数对高强铝合金干切削加工表面形貌的影响

为在高强铝合金干切削加工工艺制定时提供参考,设计了正交试验,并选用YBG102纳米涂层细颗粒合金刀具干式切削高强度铝合金7075-T6,分析了不同切削参数条件对已加工表面形貌的影响规律。结果表明:进给量是影响表面粗糙度的主要因素,其次是切削深度,最后是切削速度;在保障切削效率条件下,获得较好表面粗糙度的最佳工艺参数组合为较高切削速度、中等切削深度、较小进给量;三维表面轮廓高度较难通过切削三要素调控,但表面峰值占最大高度百分比受进给量和切削深度的影响较为明显。     

细长轴的加工

针对细长轴的加工，设计了加工工艺、切削刀具和切削参数，试验结果表明，优化切削工艺、切削参数，可以减少细长轴加工中的变形，提高细长轴加工质量。     

切削参数智能化管理研究

提高数控加工效率的基础和关键是提高切削效率,而提高切削效率的基础和关键在于进行切削参数优化,切削参数的管理是数控加工中重要的一环。本文在切削工艺知识库的基础上,建立了统一于工艺知识驱动的切削参数管理的存储、优化、分析和使用的应用模式,并阐述了各部分的核心设计,使切削参数数据库具有数据优化、分析、筛选和使用智能化的功能。开展相关切削过程物理仿真和切削参数优化等研究为工艺知识驱动的切削参数管理奠定了理论基础。结合加工对象和条件集成切削参数管理的研究,为现有加工条件下数控高效加工提供了有效途径。     

薄壁零件的车削

针对薄壁零件的车削，设计了加工工艺、切削刀具和切削参数，选择合适的切削液，进行了试验研究。试验结果表明：优化切削工艺、切削参数，可以减少薄壁零件车削中的变形，加工出合格的薄壁零件。     

优化型切削参数数据库的数据结构

根据切削参数是在一定工艺条件下得到的一种优化问题的可行解或最优解,提出了直接记录该优化问题的约束条件和目标函数的切削参数数据新结构.其重要特征在于将得到切削参数时的客观评价指标和得到参数后的主观评价指标,作为切削参数数据记录的重要组成部分,以确保切削参数、切削条件和目标函数一起被保存起来,为切削参数数据的不断优化或切削参数数据库的自进化提供一种机制.     

刀具切削楔形状的优化

刀具切削楔形状的优化刀具切削部分几何形状的优化计算，是选择最佳切削加工条件这一问题的一个组成部分。刀具的最佳几何形状是在长期而艰巨的实验基础上确定的，这种实验不可能在刀具设计工作的方案设计阶段实现。因此，为了建立切削刀具切削部分的自动设计系统，必须从...     

基于灰关联法的GH4698铣削加工参数优化

以高温合金GH4698为研究对象,通过田口方法设计实验方案,应用灰关联分析法,考虑切削力、切削温度和材料去除率为目标,对切削速度、切削深度和每齿进给量等铣削加工参数进行多目标优化,计算并分析灰关联系数和灰关联度,得到最佳切削参数组合。对优选的最佳参数组合进行实验验证,结果表明切削参数优化组合获得的切削力、切削温度和材料去除率等指标综合处于最佳状态,对比灰关联度预测值和实测值,误差小于5%。该方法能用于铣削过程的预测和控制,为铣削镍基高温合金工艺参数优化提供可靠依据。     

TC4钛合金干切削镗孔工艺参数优化研究

镗孔加工是影响飞机制造精度、效率和质量的关键工艺方法。而关键部位的干切削加工要求给TC4钛合金孔的镗削加工提出了新的技术挑战。本研究通过设计TC4钛合金高速干切镗孔正交实验，在镗孔尺寸精度满足要求的基础上，分析了工艺参数对刀具磨损、表面粗糙度、切屑形貌等关键结果和过程要素的影响规律，建立了对应的数值关系方程，开展了以切削效率为目标的工艺参数优化，优化后的工艺参数组合较原有工艺切削效率提升28.05%。开展优化后工艺参数镗孔验证实验，结果表明，刀具磨损量、表面粗糙度和切屑形貌等均达到加工要求。     

曲轴加工与成形刀具

以曲轴加工为例，分析了成形刀具在切削过程中误差的形成机理，给出了如何调整刀具形状和切削参数，以及获取最佳工艺效果的方案。     

汽轮机转子涂层刀具切削试验与仿真研究

为了解决新型转子材料难加工的问题,研究涂层对刀具切削性能的影响,并确定涂层刀具在切削过程中的最佳工艺参数.利用Deform-3D有限元软件进行26NiCrMoV145材料切削过程的数值分析,并在相同切削条件下,研究了未涂层刀具与经过不同镀层厚度处理的TiN-TiCN交替复合涂层刀具在切削过程中切削力与切削温度的变化情况...     

木材削片机主轴的优化设计

以寻求木材削片机主轴的优化参数为例,展现优化设计原理及实现过程。并根据主轴的实际情况,选择合适的寻优方法,进而确定最优解。     

高速干式滚刀优化及参数化设计

运用现代工艺优化理论,以高速干式滚齿的滚刀为研究对象,以最高生产率为目标函数,建立机床、刀具、加工工艺等多种因素的限制为约束条件的滚刀结构参数及切削用量优化的数学模型。利用该模型进行优化计算,可确定最佳滚刀结构参数及切削用量。采用计算机辅助程序设计软件实现滚刀的参数化设计,能够精确绘制出滚刀零件图。     

切削数据库的研究现状与发展

根据加工工件来优化选择刀具，包括刀具材料、刀具几何参数、刀具结构、切削参数和机床等切削数据，将关系到生产效率、生产成本及加工质量。建立切削数据库，向机械制造业提供合理或优化的切削用量，是增强企业竞争力最有效的措施之一。本文结合国内外切削数据库研究开发现状，探讨建立切削数据库的核心技术，分析切削数据库研究及应用过程中存在的问题，着重探讨切削数据库的发展趋势，指出切削数据库未来的研究方向将是集成化、智能化、实用化、网络化和标准化。     

Empirical models and optimal cutting parameters for cutting forces and surface roughness in hard milling of AISI H13 steel

In the present research, an attempt has been made to experimentally investigate the effects of cutting parameters on cutting forces and surface roughness in hard milling of AISI H13 steel with coated carbide tools. Based on Taguchi’s method, four-factor (cutting speed, feed, radial depth of cut, and axial depth of cut) four-level orthogonal experiments were employed. Three cutting force components and roughness of machined surface were measured, and then range analysis and analysis of variance (ANOVA) are performed. It is found that the axial depth of cut and the feed are the two dominant factors affecting the cutting forces. The optimal cutting parameters for minimal cutting forces and surface roughness in the range of this experiment under these experimental conditions are searched. Two empirical models for cutting forces and surface roughness are established, and ANOVA indicates that a linear model best fits the variation of cutting forces while a quadratic model best describes the variation of surface roughness. Surface roughness under some cutting parameters is less than 0.25 μm, which shows that finish hard milling is an alternative to grinding process in die and mold industry.     

基于切削温度的切削用量优化的实践与研究

面向一切削加工系统,通过切削试验,以切削面积刀具的相对磨损值为量值,提出了基于最佳切削温度下切削用量的确定方法。首先,从铣削加工试验中获取切削速度与切削表面积相对磨损值和切削温度的关系,研究了最优切削用量与切削温度的关系;然后,通过刀具磨损现象,探讨了最佳切削温度时刀具磨损的机理;最后,建立了切削用量的优化方程。从而为切削用量的优化探索了新的途径,为金属切削数据库的建立提供了依据。     

Modeling and optimization of burr height in drilling of Al-7075 using Taguchi method and response surface methodology

This investigation presents the use of Taguchi and response surface methodologies for minimizing the burr height and the surface roughness in drilling Al-7075. The Taguchi method, a powerful tool to design optimization for quality, is used to find optimal cutting parameters. Response surface methodology is useful for modeling and analyzing engineering problems. The purpose of this paper was to investigate the influence of cutting parameters, such as cutting speed and feed rate, and point angle on burr height and surface roughness produced when drilling Al-7075. A plan of experiments, based on L₂₇ Taguchi design method, was performed drilling with cutting parameters in Al-7075. All tests were run without coolant at cutting speeds of 4, 12, and 20 m/min and feed rates of 0.1, 0.2, and 0.3 mm/rev and point angle of 90^°, 118°, and 135°. The orthogonal array, signal-to-noise ratio, and analysis of variance (ANOVA) were employed to investigate the optimal drilling parameters of Al-7075. From the analysis of means and ANOVA, the optimal combination levels and the significant drilling parameters on burr height and surface roughness were obtained. The optimization results showed that the combination of low cutting speed, low feed rate, and high point angle is necessary to minimize burr height. The best results of the surface roughness were obtained at lower cutting speed and feed rates while at higher point angle. The predicted values and measured values are quite close to each other; therefore, this result indicates that the developed models can be effectively used to predict the burr height and the surface roughness on drilling of Al-7075.     

基于ANSYS的镗刀几何参数优化算法

采用ANSYS的约束优化方法,建立了镗刀几何参数优化计算的数学模型,使用该模型可得到在给定切削条件下满足设计要求并使镗刀主偏角为最小的镗刀几何参数;给出了优化计算实例。     

Experimental investigations of cutting parameters influence on cutting forces in turning of Fe-based amorphous overlay for remanufacture

Fe-based amorphous alloy is a new-type material dedicated to the remanufacture due to its unique property. Fe-based amorphous alloy is deposited on the abrased, fatigued, and fractured surface for resuming and upgrading its performance. In the present research, properties of amorphous alloy overlay, such as the microstructure, the phase content, thermal behavior, and mechanical property were evaluated and its machinability with respect to machining forces was experimentally investigated. Based on the response surface methodology and Box–Behnken design, four-factor (cutting speed, feed, depth of cut, and rake angle) three-level experiments were applied and analysis of variance (ANOVA) was performed. It is found that depth of cut is the dominant cutting parameter that affects the machining force components. Rake angle and interaction of feed rate and depth of cut can provide secondary significance to machining forces. Cutting speed, alone, has insignificant influence on machining force components. Predicting model for machining forces is established. ANOVA indicates that a linear model best fits the radial force and while a quadratic model best describes the axial force and cutting force. The optimal cutting parameters under these experimental conditions are searched.     

刀具几何参数对钛合金TB6切削力的影响研究

切削力是金属切削过程的重要物理参数之一,直接影响到工件质量、刀具寿命、机床功率消耗,是分析设计机床、刀具、夹具的重要因素。本文使用田口方法,以切削力为指标,对刀具几何参数中的前角、后角、螺旋角进行了分析优化。采用L9(34)正交试验表,设计了不同几何参数的刀具,对每组参数组合进行了切削试验,得到了在相同切削条件下的切削力。利用信号与干扰比分析、方差分析研究了不同几何参数对切削力的影响,获得了切削力最小情况下的刀具的最优几何参数组合。最后,使用优化后的几何参数实际验证了该方法的有效性。     

Multicriteria optimization of cutting parameters in turning of UD-GFRP materials considering sensitivity

In this paper, a new multicriteria optimization approach is proposed for the selection of the optimal values of cutting conditions in machining. This approach aims to handle the possible manufacturing errors in design stage. These errors are taken into consideration as change in design parameters and the design most robust to change is selected as the optimum design. Machining of a glass fiber composite material is chosen in case studies. Experiments on the unidirectional glass fiber reinforced composite material are performed to investigate the effect of cutting speed, feed, and cutting depth on the cutting forces. Also, material removal rate values are obtained. Minimizing cutting forces and maximizing the material removal are considered as objectives. It is believed that the used method provides a robust way of looking at the optimum parameter selection problems.