高速铣削刀具磨损寿命实验及建模研究

为研究高速铣削中刀具磨损寿命与切削参数的关系,通过正交实验获得了不同切削用量下的刀具磨损寿命数据,并用正交直观法分析了各切削参数对刀具磨损寿命的影响程度,以及刀具磨损寿命随切削用量的变化趋势.在多元线性回归分析的基础上建立了刀具磨损寿命与切削参数的经验模型,并用显著性检验分析了模型的拟合程度以及各切削参数对刀具磨损寿命的影响程度.研究结果为切削参数优化提供了依据.     

(Ti,Al)N+TiN涂层硬质合金刀具加工铁基高温合金正交切削试验研究

采用正交试验方案,应用(Ti,Al)N+TiN涂层硬质合金刀具对GH2132铁基高温合金进行外圆干切削,测量了切削力、切削温度、表面粗糙度和刀具寿命。利用最小二乘法对试验数据进行了多元回归分析,分别建立其经验公式,并分析了切削用量三要素分别对切削力、切削温度、表面粗糙度和刀具寿命的影响规律及其原因。通过试验得出了切削用量三要素分别对其影响的主次顺序。切削力:ap>f>vc,切削温度:vc>ap>f,表面粗糙度:f>vc>ap,刀具寿命:vc>f>ap。     

基于回归正交设计的刀具磨损研究

通过回归正交试验法设计车削模拟方案,在Deform 3D软件中对车削进行了有限元仿真模拟.建立了车削中车削速度、进给量、背吃刀量与刀具磨损之间的回归方程,并进行了方差分析,验证了模型的可靠度.得出了金属切削过程中刀具磨损量随切削用量的变化规律.分析结果为车削工艺参数优化及建立车削数据库奠定了基础.     

奥氏体不锈钢的超声振动切削研究

通过正交试验研究了超声振动切削不锈钢材料 (1 Cr1 8Ni9Ti)时切削用量和刀具材料对刀具寿命的影响 ,并与普通切削进行了对比试验 ,阐明了不锈钢加工采用超声振动切削的优越性 ,给出了合理的切削用量和合适的刀具材料     

高速铣削切削参数的模糊正交优化方法

为研究高速铣削加工中既有较高材料去除率、又有较长刀具磨损寿命的切削参数优化方法,通过正交试验,获得了不同切削用量下的刀具磨损寿命数据,并用模糊数学方法建立了刀具磨损寿命和材料去除率的隶属函数,计算了模糊综合评价隶属度.通过基于模糊综合评价直观分析与基于模糊综合评价最大隶属度分析的切削参数优化对比,证明切削参数的模糊正交优化方法是可行的.     

奥氏体不锈钢的超声振动切削研究

通过正交试验研究了超声振动切削不锈钢材料（1Cr18Ni19Ti）时切削用量和刀具材料对刀具寿命的影响，并与普通切削进行了对比试验，阐明了不锈钢加工采用超声振动切削的优越性，给出了合理的切削用量和合适的刀具材料。     

基于响应曲面法的硬质合金加工切削参数优化

在机械加工中切削参数的选择对加工效率、加工质量和生产成本有着重要影响,特别是在硬质合金等难加工材料的加工过程中,由于材料具有较高的硬度和强度,加工性能较差,切削参数的合理优化是此类材料加工中必不可少的环节。针对采用PCBN刀具进行YG20硬质合金车削的加工过程,以单位材料去除体积下的刀具后刀面相对磨损量为优化目标,基于响应曲面法及中心组合试验设计(CCD)进行了系列切削试验,建立了刀具后刀面相对磨损量的预测模型,利用响应曲面法获得刀具后刀面相对磨损量的响应曲面及等高线图,直观地分析了切削参数对其影响规律,进一步选择了最优切削参数,并进行了实验验证。     

金属切削用量速选表

在金属切削加工中,正确选择刀具的几何参数和切削用量,是保证加工质量、提高切削效率、延长刀具寿命、降低生产成本的重要环节。为了给迅速查找合理的刀具几何参数和切削用量提供方便,北京市机械局技术开发研究所,组织有经验的刀具革新能手,设计了一种《金属切削用量速选表》。这种《速选表》结构合理,内容丰富,数据可靠,经济实用。不仅     

金刚石涂层铣刀铣削高硅铝合金CE11的刀具磨损分析

在国内外对高硅铝合金切削摩擦磨损特性的研究基础上,以正交试验法为基础,利用有限元仿真软件DEFORM-3D对金刚石涂层铣刀铣削高硅铝合金CE11过程进行虚拟仿真分析,并研究铣削用量的改变对刀具磨损的影响规律。基于仿真试验结果,对金刚石涂层刀具铣削高硅铝合金的铣刀磨损量试验数据进行极差分析,优选出最小磨损量的最佳切削用量方案,并通过试验验证了仿真结果的正确性。     

表淬腔式联轴器套制造工艺研究

分析了表淬腔式联轴器套的工艺特点,进行了系统的工艺性研究。通过淬火工艺性试验,获得了型腔表淬热处理的工艺余量参数及高频感应淬火工装的改进措施,并分析不同的工艺余量、感应淬火工装结构对淬火硬度有效范围、表面硬度值及零件变形的影响,从而确定了合理的淬火工艺参数。通过刀具切削试验,分析不同的刀具、切削用量对零件的表面质量、尺寸精度、形位公差及切削效率的影响,获得了型腔切削加工的刀具型号及合理的切削用量。     

A study of the Taguchi optimization method for surface roughness in finish milling of mold surfaces

The objective of this paper is to develop a Taguchi optimization method for low surface roughness in terms of process parameters when milling the mold surfaces of 7075-T6 aluminum material. Considering the process parameters of feed, cutting speed, axial-radial depth of cut, and machining tolerance, a series of milling experiments were performed to measure the roughness data. A regression analysis was applied to determine the fitness of data used in the Taguchi optimization method using milling experiments based on a full factorial design. Taguchi orthogonal arrays, signal-to-noise (S/N) ratio, and analysis of variance (ANOVA) are used to find the optimal levels and the effect of the process parameters on surface roughness. A confirmation experiment with the optimal levels of process parameters was carried out in order to demonstrate the effectiveness of the Taguchi method. It can be concluded that Taguchi method is very suitable in solving the surface quality problem of mold surfaces.     

Influence of slab milling process parameters on surface integrity of HSLA: a multi-performance characteristics optimization

An attempt has been made in this paper to determine the optimal setting of slab milling process parameters. Four process parameters, i.e. cutting fluid, cutting speed, feed and depth-of-cut each at three levels except the cutting fluid at two levels, were considered. The multi-performance characteristics of the process were measured in terms of surface integrity defined by surface roughness, surface strain and micro-hardness of the work-piece. Eighteen experiments, as per Taguchi’s?L₁₈ orthogonal array, were performed on high-strength low-alloy steel. Grey relational analysis, being a widely used technique for multi-performance optimization, was used to determine Grey relational grade. Subsequently, Taguchi response table method and ANOVA were used for data analysis. Confirmation experiment was conducted to determine the improvement in the surface integrity using this approach. Results revealed that machining done in the presence of cutting fluid, at a cutting speed of 1,800 r.p.m. with a feed of 150?mm/min and depth-of-cut of 0.23?mm, yielded the optimum multi-performance characteristics of the slab milling process. Further, the results of ANOVA indicated that all four machining parameters significantly affected the multi-performance with maximum contribution from depth-of-cut (33.76%) followed by feed (24.02%), cutting speed (16.29%) and cutting fluid (13.21%).     

钛合金铣削仿真分析及实验研究

由于良好的综合性能,钛合金被广泛应用,但钛合金加工性能差,刀具易磨损。为了提高钛合金铣削刀具寿命,设计正交实验,运用AdvantEdge FEM软件对TA15钛合金进行了三维铣削仿真,分析了切削温度与铣削参数之间的关系。基于铣削参数-温度图,并结合切屑云图,给出了优化后的铣削参数。铣削实验表明,仿真分析可以优化铣削参数...     

A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy (stellite 6)

The aim of this work is to develop a study of Taguchi optimization method for low surface roughness value in terms of cutting parameters when face milling of the cobalt-based alloy (stellite 6) material. The milling parameters evaluated are feed rate, cutting speed and depth of cut, a series of milling experiments are performed to measure the surface roughness data. The settings of face milling parameters were determined by using Taguchi experimental design method. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are employed to find the optimal levels and to analyze the effect of the milling parameters on surface roughness. Confirmation tests with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of Taguchi optimization method. It is thus shown that the Taguchi method is very suitable to solve the surface quality problem occurring the face milling of stellite 6 material.     

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis coupled with principal component analysis

This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80 mold steel. An experiment based on the technology of Taguchi is performed. The objective is to establish a correlation among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling process. In this study, the optimum cutting parameters are obtained by the grey relational analysis. Moreover, the principal component analysis is applied to evaluate the weights so that their relative significance can be described properly and objectively. The results of experiments show that grey relational analysis coupled with principal component analysis can effectively acquire the optimal combination of cutting parameters and the proposed approach can be a useful tool to reduce the cutting force.     

基于主轴电流的铣削力间接监测方法

实时准确地监测铣削状态对于提高加工质量与加工效率具有重要意义,切削力作为重要的加工状态监测对象,因其监测设备昂贵且安装不便而受到限制,为此提出一种考虑刀具磨损的基于主轴电流的铣削力监测方法.首先基于切削微元理论建立了考虑后刀面磨损的铣削力模型,并通过铣削实验进行铣削力模型系数标定;然后对主轴电流与铣削力的关系进行理论建...     

A study on the cutting force and chip shrinkage coefficient in high-speed milling of A6061 aluminum alloy

In this paper, finite element (FE) simulation for high-speed milling of aluminum alloy was performed using a ductile fracture model with Mohr–Coulomb criterion proposed by Bai and Wierzbicki (BW). To verify the model, predicted cutting forces were compared to experimental results in the same cutting conditions. Then, further simulations were performed to estimate the cutting forces and chip shrinkage coefficients subjected to different cutting parameters such as cutting speeds, cutting depths, and clearance angles of a cutting tool. The obtained results were also used to determine optimal cutting parameters using the Taguchi method. The analysis of variance (ANOVA) was employed to investigate the influence percentage of each cutting parameter on cutting force and chip shrinkage coefficient. The simulation results showed that inclusion of strain rate in numerical model significantly improved the accuracy of estimated cutting force in comparison to experiment. The optimum values obtained for high-milling process were cutting speed 1000 m/min, cutting depth 1 mm, clearance angle 15°, and rake angle 4°.     

基于毛刺的切削参数优化试验研究

金属切削中的毛刺是切削加工中产生的常见现象,它严重地影响产品的精度和使用性,有必要对毛刺的预测进行深入的研究。本文针对铣槽时产生的出口毛刺高度进行试验与检测,并通过田口直交表进行统计分析,对检测到的试验数据运用相关公式进一步进行计算优化,然后根据传统的经验值与优化计算的数据进行比较,获取了以毛刺高度为控制对象的切削用量优化值,以此为依据提出在加工过程中夹具、机床等相关的数据优化,为进一步对毛刺控制的非线性数学模型的建立提供试验数据。     

GH4169插铣参数对刀具寿命影响规律及磨损形貌研究

为了研究GH4169插铣加工中切削参数对刀具寿命的影响规律,采用正交试验法,使用整体硬质合金刀具进行GH4169的插铣试验。运用多元线性回归分析的方法建立刀具寿命的经验公式,分析了切削参数对刀具寿命的影响规律;并采用电子扫描显微镜(SEM)对刀具在不同阶段的磨损形貌进行观测。结果表明:在插铣加工高温合金GH4169过程中,铣削速度对刀具寿命的影响最大,其次是每齿进给量和径向切深。     

PCBN刀具铣削灰铸铁时铣削用量优化的研究

采用单因素分数优选法进行PCBN刀具铣削灰铸铁的耐用度试验,根据最大刀具耐用度的原则给出了最佳铣削速度.应用正交试验法,研究PCBN刀具的铣削用量对刀具耐用度的影响,建立了PCBN刀具耐用度和铣削用量的经验公式,根据试验结果,给出了PCBN刀具铣削灰铸铁的合理铣削用量范围.