刀具几何参数对钛合金铣削力和表面完整性的影响

针对TC18钛合金铣削过程,采用正交试验研究了硬质合金刀具几何参数对铣削力和表面完整性的影响,建立了铣削力经验模型,并分析了铣削力对刀具前角、后角和螺旋角的绝对灵敏度和相对灵敏度;采用田口法分析了刀具几何参数对表面粗糙度和表面残余应力的影响。结果表明：大前角、小后角、大螺旋角的条件下铣削力较小,铣削力对刀具螺旋角的变化最敏感,对后角次之,对前角最不敏感;铣削表面均为残余压应力,刀具螺旋角对表面粗糙度的影响显著,刀具后角对表面残余应力的影响显著。     

TC4钛合金铣削刀具C形刃几何参数优化实验研究

通过对TC4钛合金进行侧铣加工,采用正交设计方法研究了硬质合金立铣刀侧刃几何参数对切削力和表面粗糙度的影响,用极差法分析了刀具几何参数对铣削力的影响;并以最小表面粗糙度为目标,采用田口法对刀具几何参数进行了优选。结果表明:螺旋角对铣削力的影响最大,对F_x、F_z,C形刃宽度影响次之,C形刃角度的影响最小;对于F_y,C形刃角度次之,C形刃宽度的影响最小;当螺旋角为25°、C形刃宽度为0.2mm、角度为-25°时可获得最小表面粗糙度。     

高速铣削淬硬钢表面粗糙度的试验研究

通过切削试验研究了高速铣削淬硬钢时刀具变量中的几何参数(铣刀的前角、后角、螺旋角)、工件变量(工件硬度)和切削参数变量(铣削速度、每齿进给量)对加工表面粗糙度的影响。根据对试验结果的分析得出高速铣削淬硬钢工件表面粗糙度的变化规律。     

奥-贝球墨铸铁加工表面质量的试验研究

用试验的方法研究了奥－贝球墨铸铁的加工表面形态、已加工表面粗糙度，分析了切削用量和刀具几何角度对加工表面粗糙度的影响．结果表明，已加工表面质量与刀具切削刃不平整及材料组织有关。为提高加工表面质置，必须优选切削参数，重视刀具磨损、后刀面粗糙度及工件材料组织的缺陷。     

不同铣削参数对镁合金（AZ31B）表面质量的影响规律研究

进行了端面铣削加工对镁合金AZ21B表面特征的性能实验。在干式加工环境下,以刀具前角、线速度、最大切削厚度、切削深度为影响因子,以表面粗糙度作为分析表面完整性的指标,采用硬质合金刀具进行实验,实验结果表明：镁合金铣削加工中,随着切削深度、线速度、最大切削厚度的增加,工件的表面粗糙度也随之增加,其中切削深度小于6 mm、线速度小于1800 mm/s、最大切削厚度小于0.07 mm时,表面粗糙度值均为Ra1.0μm以下,可实现镁合金的高精度加工;同时刀具前角对镁合金加工至关重要,表面粗糙度随着刀具前角的增加呈现先增加、后降低的规律;当刀具前角在8°～16°区间内,表面粗糙度逐渐增加;当刀具前角为20°时,工件的表面质量相对较高,表面粗糙度为Ra0.5μm左右;结合整体试验的加工情况,特殊情况下刀具前角可以优先选择负角度加工。     

PCD 刀具刃磨质量及几何参数对加工表面粗糙度的影响

针对薄壁细长硅铝合金管的精加工,研究聚晶金刚石(PCD)刀具的刃磨质量及主要几何参数对加工表面粗糙度的影响.     

不锈钢加工对刀具材质和几何参数的要求

不锈钢加工对刀具的基本要求(1)对刀具几何参数的要求加工不锈钢时,刀具切削部分的几何形状,一般应从前角、后角方面的选择来考虑。在选择前角时,要考虑卷屑槽型、有无倒棱和刃倾角的正负角度大小等因素。不论何种刀具,加工不锈钢时都必须采用较大的前角。增大刀具的前角可减小切屑切离和清出过程中所遇到的阻力。对后角选择要求不十分严格,但不宜过小,后角过小容易和工件表面产生严重摩擦,使加工表面粗糙度恶化,加速刀具磨损。并且由于强烈摩擦,增强了不锈钢表面加工硬化的效应;刀具后角也不宜过大,后角过大,使刀具的楔角减小,降低了切削刃…     

刀具几何参数对表面粗糙度的影响及试验

切削刀具几何参数是影响加工表面粗糙度的重要因素,为提高零件切削加工表面粗糙度质量,分别对刀具前角、后角、主偏角、偏副角和刀尖圆弧半径进行试验,以获得最佳的切削刀具几何参数。     

硬质合金立铣刀螺旋角对切削性能的影响

利用单因素试验法,在高温合金(GH4169)的铣削加工中,分析了硬质合金立铣刀螺旋角对切削力、已加工表面粗糙度、刀具寿命和失效形式的影响。掌握了立铣刀螺旋角对切削性能的影响,优选出在高温合金精铣加工中较为合理的刀具螺旋角。     

切削参数对不锈钢加工表面粗糙度的影响

通过切削试验研究了进给量、切削速度、刀具圆弧半径以及切屑形态等四个因素对不锈钢加工表面粗糙度的影响规律,确定了降低表面粗糙度的切削参数优化组合。     

Finite element simulation of diamond tool geometries affecting the 3D surface topography in fly cutting of KDP crystals

Diamond tool has significant influences on the finished surface quality in fly cutting of potassium dihydrogen phosphate (KDP) crystals. In this work, the nanoindentation and dimensional analysis are employed to establish the material constitutive equation of KDP crystals, i.e., the variation curve of flow stress vs. plastic strain. As expected, a novel 3D finite element (FE) model is developed for diamond fly cutting of KDP crystals, and the generation of 3D surface topography is simulated by multi-run cutting calculations, in which the movements of diamond tool are configured to be identical to the actual feed rate and cutting velocity. Subsequently, the coordinates of the nodes on the topmost surface as freshly machined are collected to evaluate the surface roughness, which enables the detailed analyses of the effect of diamond tool geometries on the achieved surface roughness of KDP crystals. The results suggest an optimal selection of tool geometries, i.e. ?25° rake angle and 8° clearance angle. With the increment of tool nose radius, surface roughness decreases correspondingly. Moreover, the larger defect or sharpness of tool cutting edge produces the worse surface roughness. Diamond fly cutting experiments are carried out with different rake angles, in which the cutting parameters are the same as the values used in FE simulations. The measured surface roughness has a satisfied consistency with the simulated data, which demonstrates that the developed 3D FE cutting model and the related simulations are reliable.     

Construction of a surface roughness prediction model for high speed machining

In manufacturing environment prediction of surface roughness is very important for product quality and production time. For this purpose, the finite element method and neural network is coupled to construct a surface roughness prediction model for high-speed machining. A finite element method based code is utilized to simulate the high-speed machining in which the cutting tool is incrementally advanced forward step by step during the cutting processes under various conditions of tool geometries (rake angle, edge radius) and cutting parameters (yielding strength, cutting speed, feed rate). The influences of the above cutting conditions on surface roughness variations are thus investigated. Moreover, the abductive neural networks are applied to synthesize the data sets obtained from the numerical calculations. Consequently, a quantitative prediction model is established for the relationship between the cutting variables and surface roughness in the process of high-speed machining. The surface roughness obtained from the calculations is compared with the experimental results conducted in the laboratory and with other research studies. Their agreements are quite well and the accuracy of the developed methodology may be verified accordingly. The simulation results also show that feed rate is the most important cutting variable dominating the surface roughness state.     

Investigation of cutting parameters effect for minimization of sur face roughness in internal turning

Minimizing the surface roughness is one of the primary objectives in most of the machining operations in general and in internal turning in particular. Poor control on the cutting parameters due to long boring bar generates non conforming parts which results in increase in cost and loss of productivity due to rework or scrap. In this study, the Taguchi method is used to minimize the surface roughness by investigating the rake angle effect on surface roughness in boring performed on a CNC lathe. The control parameters included besides tool rake angle were insert nose radius, cutting speed, depth of cut, and feedrate. Slight tool wear was included as a noise factor. Based on Taguchi Orthogonal Array L18, a series of experiments were designed and performed on AISI 1018 steel. Analysis of variance, ANOVA, was employed to identify the significant factors affecting the surface roughness and S/N ratio was used to find the optimal cutting combination of the parameters. It was concluded that tool with a high positive rake angle and smaller insert nose radius produced lower surface roughness value in an internal turning operation. It was also concluded that high feedrate and low cutting speed has produced the lowest surface roughness.     

精密干式硬态车削淬硬工具钢时表面粗糙度的参数优化

使用PCBN刀具对不同淬硬状态工具钢Cr12MoV进行了精密干式硬态车削试验,运用正交实验法分析了切削速度、试件硬度、刀具前角、切削深度4个因素间的交互作用,并得到了最优车削参数.试验表明:影响表面粗糙度最显著的因素是切削速度与淬火硬度,切削深度影响最小.     

微细干车削硬铝合金LY12的表面粗糙度研究

采用YG类细晶粒硬质合金刀具和PCD刀具对硬铝合金LY12进行了微细干切削试验,通过单因素切削试验研究了不同刀具材料、刀具前角、刀尖圆弧半径对表面粗糙度的影响。结果表明,在微细干切削条件（v=12．6m／min,aP=0．02mm,f=0．004-0．01mm／r）下,采用PCD刀具可获得Ra0．112～0．30μm的光洁表面;采用大前角、大刀尖圆弧半径的PCD刀具,可获得最好的加工表面粗糙度。     

特种材料深孔精加工工艺研究

为解决特种材料在深孔加工过程中出现振动较大且排屑不畅、而导致表面精糙度值达不列要求的问题,着重对影响表面粗糙度值的刀具前角、后角、走刀量、切削速度四个因素进行分析并通过实验进行验证,得到了刀具几何角参数和切削用量范围.结果表明,刀具的前角20°～35°、后角6°～12°、走刀量为0.07 ～ 0.12 mm且切削速度小于225 r/min时,可以保证特种材料深孔精加工的表面精糙度值.     

SIMULATED ANNEALING TO ESTIMATE THE OPTIMAL CUTTING CONDITIONS FOR MINIMIZING SURFACE ROUGHNESS IN END MILLING Ti-6Al-4V

This study presents the estimation of the optimal effect of the radial rake angle of the tool, combined with cutting speed and feed in influencing the surface roughness result. Studies on optimization of cutting conditions for surface roughness in end milling involving radial rake angle are still lacking. Therefore, considering the radial rake angle, this study applied simulated annealing in determining the solution of the cutting conditions to obtain the minimum surface roughness when end milling Ti-6Al-4V. Considering a set of experimental machining data, the regression model is developed. The best regression model was considered to formulate the fitness function of the simulated annealing. It was recommended that the cutting conditions should be set at highest cutting speed, lowest feed and highest radial rake angle in order to achieve the minimum surface roughness of 0.1385 µm. Subsequently, it was found that by using simulated annealing, the minimum surface roughness was much lower than the experimental sample data, regression modelling and response surface methodology technique by about 27%, 26% and 50%, respectively.     

超精密切削时刀具切削刃的作用机理分析

分析了金刚石刀具切削刃的切削作用、脆性材料超精密切削时切屑形成机理；对金刚石刀具切削刃钝圆半径、切削厚度、切削角三者之间的关系进行了描述。结果表明：脆性材料可以实现塑性域超精密切削加工；控制切削参数可以加工出满足要求的表面粗糙度和表面波纹度，为生产实际提供可靠的工艺条件及技术参数。     

加工TC4钛合金发动机叶片球型刀的试验研究

针对发动机TC4钛合金叶片的切削加工,通过生产部门大量的切削试验,确定了合理的刀具材料、几何角度、切削用量以及粗、精加工条件下刀具的相对磨钝标准。并用试验验证了粗、精加工条件下几何角度和切削用量对球型刀耐用度的影响以及表面粗糙度值随切削时间的变化规律。试验结论对硬质合金球型刀切削TC4钛合金叶片具有实际的指导意义与参考价值。