基于均匀设计法的钛合金切削参数优化试验研究

为了探索汽轮机低压锁扣叶片钛合金的清洁切削加工规律,优化其切削参数,保证表面质量,提高切削效率,采用均匀设计方法设计了钛合金切削试验参数.分别在常温干式切削和低温冷风降温切削条件下,对切削力和表面粗糙度进行了试验研究,对试验数据进行多元线性回归分析,建立了适用于钛合金清洁加工的表面粗糙度和切削力多元线性回归模型,在此基...     

金刚石刀具精车硅铝合金的正交试验研究

通过用金刚石刀具车削硅铝合金的切削试验，应用正交试验，比较了各个切削参数对切削力和表面粗糙度影响的显著程度及各个切削参数的变化对切削力和表面粗糙度的影响。证实用金刚石刀具车削硅铝合金可以获得优良的表面粗糙度和小的切削力。     

汽雾冷却下高速切削GH4169切削力和粗糙度试验分析

本文针对陶瓷车刀片在汽雾冷却下进行切削镍基高温合金GH4169单因素试验和正交试验进行分析研究。利用最小二乘法对所得试验数据进行线性回归分析,建立切削力和已加工表面粗糙度的经验模型,分析在汽雾冷却条件下使用陶瓷刀具的切削参数对切削力和已加工表面粗糙度的影响规律。通过正交试验结果分析出最优的切削参数,为进一步优化切削参数、研究刀片磨损机理提供参考依据。     

钛合金车削切削力及表面粗糙度优化分析

采用TC11钛合金车削正交试验研究了各车削参数对切削温度和切削力的影响规律,进一步分析车削参数和表面粗糙度的内在联系。结果表明：切削温度与切削力相互影响,当切削速度在50～100m/min时,切削速度越高,刀具对工件挤压越剧烈,且切削温度升高并使工件软化,导致切削力减小。通过极差分析发现,影响切削力的切削参数依次为切削深度>进给量>切削速度,影响切削温度的切削参数依次为切削速度>进给量>切削深度;对于表面粗糙度各切削用量影响程度大小依次为进给量>切削速度>切削深度。在本次试验参数内,得到了最优切削力的切削参数和最优表面粗糙度的切削参数。研究结果对于加工钛合金的切削参数优化提供一定指导。     

TC18钛合金车削加工的切削力和表面粗糙度

采用正交试验法对TC18钛合金进行了车削试验,使用直观分析法、经验模型分析法和极差分析法研究了主轴转速、进给深度和切削深度对切削力和表面粗糙度的影响。结果表明:和进给深度、主轴转速相比,切削深度对切削力的影响最大,随着切削深度的增加切削力不断增大;进给深度对表面粗糙度的影响最大,切削深度的影响次之,主轴转速的影响最小;在切削力和表面粗糙度的指数经验模型中,拟合程度较高的为主切削力(Fz)的参数模型,且显著程度相对较高。     

切削参数对各向同性热解石墨切削力的影响

为了研究切削参数对各向同性热解石墨车削过程中切削力的影响,采用单因素试验法及聚晶金刚石刀具进行了切削试验。试验结果表明,切削速度、进给量及切削深度均可显著影响各向同性热解石墨的切削力,且切削深度以及进给量对切削力的影响较为突出。以最小切削力为优化目标,对切削参数进行了优化选择。在选取最佳组合参数的基础上,对材料进行了切削试验,并得到了表面粗糙度Ra值为0.04μm的加工表面。     

纯铁材料精密切削过程切削力及表面粗糙度研究

采用正交试验法,开展纯铁材料精密切削过程切削用量对切削力和表面粗糙度影响规律的试验研究,建立了切削力和表面粗糙度经验公式。结果表明,试验结果与经验公式预测值间的误差小于20%,经验公式能够用于预测纯铁材料精加工过程中的切削力和表面粗糙度。切削深度对切削力的影响最大,其次是进给量,切削速度对切削力的影响最小;进给量是影响表面粗糙度的最主要因素,其次是切削深度,切削速度对粗糙度的影响最小。上述研究成果将为精密加工弱刚性纯铁工件工艺参数的优化奠定技术基础。     

基于分形理论的玻璃切削力和表面粗糙度研究

基于分形理论研究了玻璃切削时不同切削参数对切削力及其分形维数以及表面粗糙度的影响。试验结果表明:切削力分形维数与玻璃切削过程的四个阶段密切相关,如玻璃切削过程以某一阶段(如大块破碎)为主,则切削力分形维数越小,表面粗糙度越大;如切削过程包含多个阶段,则切削力分形维数越大,表面粗糙度越大。     

SDP1Cu预硬塑料模具钢高速车削工艺参数优化

采用正交试验设计方案对新型预硬塑料模具钢SDP1Cu进行外圆高速干切削,旨在提高其车削的表面质量和加工效率。以切削力和表面粗糙度作为参评指标,利用极差和方差分析法分析切削力和粗糙度,利用多元线性回归分析法对加工的切削力和表面粗糙度进行建模分析,并利用多目标遗传算法对切削工艺参数进行优化。试验分析表明:切削深度对切削力变化影响最大,通过MATLAB软件分析得出最优参数组合为v=195.76m/min,f=0.157mm/r,a_p=1.025mm;优化结果为切削力F_z=459.9N,表面粗糙度Ra=1.557μm,材料去除率Qz=31589mm~3/min。     

等离子堆焊镍基合金切削性能的试验研究

通过PCBN刀具切削等离子堆焊镍基合金的试验,研究了切削用量和刀尖圆弧半径对切削力和表面粗糙度的影响规律,并采用综合平衡法优化了加工工艺参数。试验结果及分析表明:切削堆焊镍基合金时,切削力和表面粗糙度的部分变化规律与传统切削理论不符;试验获得的表面粗糙度均小于1.3μm,表面质量总体较好,可采用以车代磨的加工工艺。     

Study on cutting force and surface micro-topography of hard turning of GCr15 steel

This work investigates the cutting force and surface micro-topography in hard turning of GCr15 bearing steel. A series of experiments on hard turning of GCr15 steel with polycrystalline cubic boron nitride (PCBN) tools are performed on a CNC machining center. Experimental measurements of cutting force, 3D surface micro-topography, and surface roughness of the workpiece are performed. The 3D surface micro-topography of the workpiece is discussed, and the formation mechanism of the 3D surface is analyzed. The influence of cutting speed and feed rate on cutting force and surface roughness are discussed. The 2D and 3D surface roughness parameters are compared and discussed. It is found that feed rate has greater influence on cutting force and surface roughness than cutting speed and there exists the most appropriate cutting speed under which the minimum surface roughness can be generated while a relatively small cutting force can be found. Recommendations on selecting cutting parameters of hard turning of GCr15 steel are also proposed.     

Taguchi method based optimisation of drilling parameters in drilling of AISI 316 steel with PVD monolayer and multilayer coated HSS drills

This paper focuses on the optimisation of drilling parameters using the Taguchi technique to obtain minimum surface roughness (Ra) and thrust force (Ff). A number of drilling experiments were conducted using the L16 orthogonal array on a CNC vertical machining centre. The experiments were performed on AISI 316 stainless steel blocks using uncoated and coated M35 HSS twist drills under dry cutting conditions. Analysis of variance (ANOVA) was employed to determine the most significant control factors affecting the surface roughness and thrust force. The cutting tool, cutting speed and feed rate were selected as control factors. After the sixteen experimental trials, it was found that the cutting tool was the most significant factor on the surface roughness and that the feed rate was the most significant factor on the thrust force. The results of the confirmation experiments showed that the Taguchi method was notably successful in the optimisation of drilling parameters for better surface roughness and thrust force.     

Surface roughness and cutting force prediction in MQL and wet turning process of AISI 1045 using design of experiments

This paper presents an investigation into the MQL (minimum quantity lubrication) and wet turning processes of AISI 1045 work material with the objective of suggesting the experimental model in order to predict the cutting force and surface roughness, to select the optimal cutting parameters, and to analyze the effects of cutting parameters on machinability. Fractional factorial design and central composite design were used for the experiment plan. Cutting force and surface roughness according to cutting parameters were measured through the external cylindrical turning based on the experiment plan. The measured data were analyzed by regression analysis and verification experiments were conducted to confirm the results. From the experimental results and regression analysis, this research project suggested the experimental equations, proposed the optimal cutting parameters, and analyzed the effects of cutting parameters on surface roughness and cutting force in the MQL and wet turning processes.     

Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel

An experimental investigation was conducted to analyze the effect of cutting parameters (cutting speed, feed rate and depth of cut) and workpiece hardness on surface roughness and cutting force components. The finish hard turning of AISI 52100 steel with coated Al₂O₃ + TiC mixed ceramic cutting tools was studied. The planning of experiment were based on Taguchi’s L₂₇ orthogonal array. The response table and analysis of variance (ANOVA) have allowed to check the validity of linear regression model and to determine the significant parameters affecting the surface roughness and cutting forces. The statistical analysis reveals that the feed rate, workpiece hardness and cutting speed have significant effects in reducing the surface roughness; whereas the depth of cut, workpiece hardness and feed rate are observed to have a statistically significant impact on the cutting force components than the cutting speed. Consequently, empirical models were developed to correlate the cutting parameters and workpiece hardness with surface roughness and cutting forces. The optimum machining conditions to produce the lowest surface roughness with minimal cutting force components under these experimental conditions were searched using desirability function approach for multiple response factors optimization. Finally, confirmation experiments were performed to verify the pertinence of the developed empirical models.     

高速铣削超高强度钢的切削力及表面粗糙度研究

选用涂层硬质合金刀具对300M超高强度钢进行高速铣削试验,通过单因素试验和多因素正交试验法,得出铣削参数(主轴转速、每齿进给量、铣削深度)对切削力及表面粗糙度的影响规律及主次关系。对正交试验结果做最小二乘法分析,建立切削力及表面粗糙度与铣削参数之间的经验模型;对经验模型的回归方程及系数做显著性检验,并对其进行参数优化,得出铣削参数的最优组合。结果表明:主轴转速和铣削深度对切削力的作用较大,而每齿进给量对其影响相对较弱;每齿进给量对表面粗糙度作用最强,铣削深度次之,主轴转速对其作用最弱。     

Study of cutting force and surface roughness in the turning of polytetrafluoroethylene composites with a polycrystalline diamond tool

Despite the importance of the polytetrafluoroethylene (PTFE) composites in many industrial applications, especially for space industry, very little is known about the machinability of these composites. This paper presents an investigation into the turning of PTFE composites using a polycrystalline diamond tool in order to analyze the effect of the cutting parameters and insert radius on the cutting force and surface roughness. A strain gauge based dynamometer for the main cutting force measurement in turning was constructed. The force signals were captured and processed using a strain data acquisition system based on the Sider8 and CATMAN software. Cutting force and surface roughness were measured through longitudinal turning, according to the experimental plan developed based on the Taguchi methodology. The signal-to-noise ratio and the analysis of variance were applied to the experimental data in order to determine the effect of the process variables on the surface roughness and cutting force, and predictive models have been derived.     

An optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool for best surface finish

High-speed machining (HSM) has emerged as a key technology in rapid tooling and manufacturing applications. Compared with traditional machining, the cutting speed, feed rate has been great progress, and the cutting mechanism is not the same. HSM with coated carbide cutting tools used in high-speed, high temperature situations and cutting more efficient and provided a lower surface roughness. However, the demand for high quality focuses extensive attention to the analysis and prediction of surface roughness and cutting force as the level of surface roughness and the cutting force partially determine the quality of the cutting process. This paper presents an optimization method of the machining parameters in high-speed machining of stainless steel using coated carbide tool to achieve minimum cutting forces and better surface roughness. Taguchi optimization method is the most effective method to optimize the machining parameters, in which a response variable can be identified. The standard orthogonal array of L₉ (3⁴) was employed in this research work and the results were analyzed for the optimization process using signal to noise (S/N) ratio response analysis and Pareto analysis of variance (ANOVA) to identify the most significant parameters affecting the cutting forces and surface roughness. For such application, several machining parameters are considered to be significantly affecting cutting forces and surface roughness. These parameters include the lubrication modes, feed rate, cutting speed, and depth of cut. Finally, conformation tests were carried out to investigate the improvement of the optimization. The result showed a reduction of 25.5% in the cutting forces and 41.3% improvement on the surface roughness performance.     

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.     

Performance of coated and uncoated mixed ceramic tools in hard turning process

The present contribution deals with the study of the effects of cutting speed, feed rate and depth of cut on the performance of machining which traditionally named “machinability”. The focus is made on the effect of the pre-cited cutting parameters on the evolution of surface roughness and cutting force components during hard turning of AISI D3 cold work tool steel with CC6050 and CC650 ceramic inserts. Also, for both ceramics a comparison of their wear evolution with time and its impact on the surface equality was proposed. The planning of experiments was based on Taguchi’s L₁₆ orthogonal array. The analysis of variance (ANOVA), the signal-to-noise ratio and response surface methodology (RSM) were adopted. Consequently, the validity of proposed linear regression model was checked and the most important parameter affecting the surface roughness and cutting force components were determined. Furthermore, in order to determine the levels of the cutting regime that lead to minimum surface roughness and minimum machining force the relationship between cutting factors was analyzed. The results revealed that the surface quality obtained with the coated CC6050 ceramic insert is 1.6 times better than the one obtained with uncoated CC650 ceramic insert. However, the uncoated ceramic insert was useful in reducing the machining force.