微细铣削铝合金6061表面毛刺研究

目的揭示微细铣削铝合金6061过程中,铣削工艺参数(切削深度a_p、每齿进给量f_z、切削速度v)、顺逆铣方式、刀具磨损对毛刺大小及形态的影响规律,为控制铝合金6061毛刺,提高表面质量,优化切削工艺提供参考。方法基于单因素试验方法,采用涂层硬质合金微直径铣刀,对铝合金6061进行了铣削加工试验,分别对切削参数单因素试验的逆铣、顺铣顶端毛刺大小数据以及刀具磨损、毛刺形态信息进行采集和分析。结果直观绘制了a_p、v、f_z对逆顺铣两侧顶端毛刺大小的影响规律图。单因素切削速度试验中,顺铣侧毛刺最大为323μm,逆铣侧最大为268μm;单因素每齿进给量试验中,顺铣侧毛刺最大为332μm,逆铣侧最大为331μm;单因素切深试验中顺铣侧毛刺最大为314μm,逆铣侧最大为264μm。结论逆铣比顺铣的顶端毛刺小,随切削深度增加,毛刺依次呈现长条须状、撕裂状、波浪形锯齿状。刀具磨损是造成切削过程不稳定的重要因素,同时也会造成毛刺形态和大小不稳定。为尽量减少毛刺,应采用锋利刀具和逆铣方式,控制切削深度,选择合适的切削速度和进给量。     

Experimental observation and analysis of burr formation mechanisms in face milling of aluminum alloys

The purpose of this paper is to study the burr formation mechanisms in face milling process, and to investigate the influence of cutting conditions on burr formation in face milling of aluminum alloys. The fly milling cutter is used to carry out single-tooth face milling tests. Three aluminum alloys were tested: Al 1100 (cold drawn), Al 2024-T4 and Al 6061-T6. It is found that the burr geometry is strongly dependent upon the in-plane exit angle. Five types of burrs were observed in the experiments: knife-type, wave-type burr, curl-type, edge breakout and secondary burr. Formation mechanisms of each type of these burrs are discussed in details. The relationship between their existence and the machining condition is indicated. The machining guideline in face milling is given at the end of the paper to reduce burr size effectively through the formation of secondary burr.     

CuZn30微铣削表面完整性影响规律试验研究

采用直径φ1的硬质合金铣刀对CuZn30合金进行单因素槽铣试验,研究加工表面完整性、顶毛刺和切屑随铣削参数的变化规律。通过试验得到以下结论:切削参数对加工表面完整性影响比较显著,其中表面粗糙度随主轴转速的增大而减小,随每齿进给量增大而增大,切削深度对粗糙度影响不太显著。残余应力随着每齿进给量的增大有明显增大趋势,而主轴转速与切削深度对残余应力的影响不太显著。显微硬度随铣削参数变化没有显著的变化。顶毛刺主要受每齿进给量的影响,毛刺尺寸随着每齿进给量的增加先急速减小后趋于平稳,切屑形态主要受切削深度的影响,随着切削深度的增加,切屑由短小的碎屑逐渐变为平滑的连续卷曲切屑。     

Development of a chip flow model for turning operations

A model is presented which predicts the chip flow direction in turning operations with nose radius tools under oblique cutting conditions. Only the tool cutting edge geometry and the cutting conditions (feed and depth of cut) are required to implement the model. An experimental study has verified the chip flow model and shown that the model's predictions are in good agreement with the experimental results.     

Performance of single Si3N4 and mixed Si3N4+PCBN wiper cutting tools applied to high speed face milling of cast iron

In this work two face milling cutter systems were used in high speed cutting of gray cast iron under cutting condition encountered in the shop floor. The first system, called ‘A’, has 24 Si₃N₄ ceramic inserts all with square wiper edges. The second system, called ‘B’, is a mixed tool material system, having 24 wiper inserts, 20 of them are Si₃N₄ intercalated by four PCBN inserts. Cutting speed (v_c), depth of cut (doc) and feed rate per tooth (f_z) were kept constant. Surface roughness (R_a and R_t) and waviness (W_t), tool life (based on flank wear, VB_Bmax) and burr formation (length of the burr, h) were the parameters considered to compare the two systems. System ‘B’ presented better performance according to all parameters, although only end of life criterion based on R_t parameter has been reached.     

Burr Formation in milling with minimum quantity lubrication

In milling, burrs are formed on entry and exit edges of the workpiece to be machined like in all material removal processes. In the subsequent production these burrs have to be removed. Understanding the influencing factors and burr formation mechanisms can help to avoid or reduce burrs. Another possibility for saving costs is to reduce the process materials, for example, cutting fluids. This can be realised by using minimum quantity lubrication or dry machining. The investigations show which influence both methods have on burr formation.     

An analytical model to predict interlayer burr size following drilling of CFRP-metallic stack assemblies

A novel analytical model to describe entrance burr formation when drilling ductile metals as a function of tool geometry (point/helix angles, diameter), operating parameters (cutting speed, feed rate) and workpiece material properties, was initially formulated. The model was further developed to account for interlayer burr dimensions when drilling CFRP-metallic stack arrangements. Data from validation trials performed on Ti–6Al–4V, AA7010 and AA2024 workpieces together with their associated CFRP stack assemblies over 4 different combinations of cutting speed and feed rate showed that the predicted sizes of entrance and interlayer burrs were all accurate to within 20% of the experimentally measured results.     

Minimization of exit burr in face milling of medium carbon steel by exit edge beveling

Elimination, or reduction, of burrs formed during machining is drawing focus of manufacturers and researchers since long or suppressing a burr regarding its formation or removal of it through a suitable deburring process. Deburring is an extra process often required to undertake, and it involves additional time and cost. Presence of burr may cause several problems, such as difficulty in assembly, dimensional inaccuracy, injury to the operator, etc. Like other industries, avoidance of burr on milled component surfaces in railways is of concern. In the present investigation, formation of burr in face milling is tried to reduce by beveling the exit edge of blocks of medium carbon steel (45C8) which is widely used in railways for manufacture of different components. Cutting conditions are also varied to observe the effect on burr formation. It is observed that at an exit edge bevel angle of 15°, negligible burr is formed at most of the cutting conditions undertaken, and hence, recommended.     

碳纤维增强热塑性复合材料螺旋铣磨制孔损伤研究

目的 研究碳纤维增强热塑性复合材料(CFRTP)螺旋铣磨制孔的切削温度和切削力的变化趋势,以及典型制孔损伤的特点,并分析切削温度的下降对制孔损伤的影响。方法 采用螺旋铣磨的方法开展CFRTP的制孔试验研究,通过改变工艺参数研究切削温度、切削力的变化趋势,分析各类典型制孔损伤的特点、形成原因及随工艺参数的变化情况,并研究添加冷却辅助降低切削温度对抑制制孔损伤的效果。结果 随着刀具自转转速、公转转速和螺距的升高,切削温度分别升高了约46.43%、12.06%和95.97%;切削力随着自转转速的升高而降低,随着公转转速和螺距的升高而增大。当螺距达到0.45mm时,轴向力会有所下降。入口损伤和出口损伤主要以毛刺为主,损伤会随着各工艺参数的升高而加剧,孔壁损伤主要表现为涂覆、变形、裂纹等3种形式。添加冷却辅助后,制孔质量得到显著提高,高温下的刀具涂覆问题基本解决。结论 切削温度是影响CFRTP制孔质量的主要因素,切削温度的升高导致树脂基体软化,使得切屑形貌从粉末状转变为连续薄片状,进而对切削力产生影响,树脂软化对制孔损伤有着明显的影响。冷却辅助能够明显地降低切削温度,从而起到抑制损伤的作用。     

Prediction of Parameters for the Burr Dimensions in Short-Hole Drilling

The following paper presents a method for the determination of the burr dimensions to be expected in short-hole drilling, simultaneously taking the parameters into consideration which influence the burr formation. These parameters are yield stress, forces and the geometry of the inserts. The method is based on empirical cutting examinations and takes account into the correlation between different burr parameters and the machining conditions such as cutting speed, feed and tool geometry. Using Schaefer's burr value g, it is possible to make a quantitative evaluation of the burr dimensions. The method was verified for the materials 16 MnCr 5 and Ck 45 in case of dry machining.     

Cutting temperature of ceramic tools in high speed machining of difficult-to-cut materials

This paper deals with an experimental and analytical investigation into the different factors which influence the temperature distribution on Al₂O₃---TiC ceramic tool rake face during machining of difficult-to-cut materials, such as case hardened AISI 1552 steel (60–65 Rc) and nickel-based superalloys (e.g. Inconel 718). The temperature distribution was predicted first using the finite element analysis. Temperature measurements on the tool rake face using a thermocouple based technique were performed and the results were verified using the finite element analysis. Experiments were then performed to study the effect of cutting parameters, different tool geometries, tool conditions, and workpiece materials on the cutting edge temperatures. Results presented in this paper indicate that for turning case hardened steel, increasing the cutting speed, feted, and depth of cut will increase the cutting edge temperature. On the other hand, increasing the tool nose radius, and angle of approach reduces the cutting edge temperature, while increasing the width of the tool chamfer will slightly increase the cutting ege temperature. As for the negative rake angle, it was found that there is an optimum value of rake angle where the cutting edge temperature was minimum. For the Inconel 718 material, it was found that the cutting edge temperature reached a minimum at a speed of 510 m/min, and feed of 1.25 mm/rev. However, the effect of the depth of cut and tool nose radius was almost the same as that determined in the turning of case hardened steel. It was also observed in turning Inconel 718 with ceramic tools that, cutting forces and different types of tool wear were reduced with increasing the feed.     

Burr formation in intersecting holes

Regarding intersecting holes, the edges of cut are often difficult to access, as they are located inside the components. Hence it requires a lot of time and money to deburr them. In addition, burrs which come off in the later operation can lead to resultant damages. Examinations of intersecting holes showed that the effective exit surface angle, the angle between drill wall and exit surface, is crucial for burr formation. Based on the burr calculation for exit surfaces perpendicular to the drill axis, a method of calculation was developed out of the experimental results. By means of this calculation method the burr value g can be predicted for the short hole drilling of intersecting holes.     

A new thermomechanical model of cutting applied to turning operations. Part II. Parametric study

In Part I of this work, Molinari and Moufki [Int. J. Mach. Tools Manufact., this issue], an analytical model of three-dimensional cutting is developed for turning processes. To analyse the influences of cutting edge geometry on the chip formation process, global effects such as the chip flow direction and the cutting forces, and local effects such as the temperature distribution and the surface contact at the rake face have been investigated. In order to accede to local parameters, the engaged part in cutting of the rounded nose is decomposed into a set of cutting edge elements. Thus each elementary chip, produced by a straight cutting edge element, is obtained from an oblique cutting process defined by the corresponding undeformed chip section and the local cutting angles. The present approach takes into account the fact that for each cutting edge element the local chip flow is imposed by the global chip movement. The material characteristics such as strain rate sensitivity, strain hardening and thermal softening, the thermomechanical coupling and the inertia effects are considered in the modelling. A detailed parametric study is provided in this paper in order to analyse the effects of cutting speed, depth of cut, feed, nose radius and cutting angles on cutting forces, global chip flow direction and temperature distribution at the rake face. The influence of friction at the tool–chip interface is also discussed.     

Predictive machinability models for a selected hard material in turning operations

In this paper, empirical models for tool life, surface roughness and cutting force are developed for turning operations. Process parameters (cutting speed, feed rate, depth of cut and tool nose radius) are used as inputs to the developed machinability models. Two important data mining techniques are used; they are response surface methodology and neural networks. Data of 28 experiments when turning austenitic AISI 302 have been used to generate, compare and evaluate the proposed models of tool life, cutting force and surface roughness for the considered material.     

Experimental analysis of deburring process on inclined exit surface by new deburring tool

The removal of macro-burrs formed after drilling has always been a difficult engineering problem, especially on inclined exit surfaces with intersecting holes. A new deburring tool is developed to remove burrs on inclined exit surfaces. The performance of the proposed deburring tool is analyzed according to changes in parameters including tool geometry, the deburring direction, and cutting conditions. Based on our analysis, proper tool geometry is suggested, and an efficient deburring method and deburring conditions are determined which satisfy the chamfered geometry and surface roughness of holes.     

Experimental study of burrs formed in feed direction when turning aluminum alloy Al6061-T6

The paper represents an experimental study of the burr formation mechanism in feed direction. The influence of tool angles and workpiece angles, as well as and other cutting conditions on burr dimensions is considered. The work contains experimental graphs of burr cross-sections obtained using a laser measurement system at various stages of burr formation. The analysis of the experimental work shows that, depending on the cutting conditions, a few mechanisms of burr formation can be discerned: sideward burr formation, bending of the uncut part of allowance, and the shearing of residuary material at the final stage. This study could be useful in the search for optimal tool geometry for burr minimization and for the modeling of a burr formation mechanism.     

模糊田口法在重切削制程中切削参数最佳化设计

为了快速有效获得重切削时良好的切削性能参数,以田口法与模糊逻辑相结合,对侧面铣削SUS304不锈钢重切削制程时的切削参数进行最佳化设计。由于评估重切削制程的刀具寿命与金属移除率两项主要切削性能,受到主轴转速、每刃进给、轴向切深与径向切深的影响,由此将4个切削参数设置为可控制因子。经过田口法将各品质特性转化为S/N比,通过模糊逻辑运算,采用多重品质特性指标(MPCI)求得切削参数最佳水准组合。试验结果表明:以模糊田口法获得的切削参数最佳水准组合,能够有效改善侧面重切削制程时的切削性能,为刀具制造厂或刀具使用者寻求最佳切削条件提供参考。     

Prediction of surface roughness profiles for milled surfaces using an artificial neural network and fractal geometry approach

Artificial neural networks (ANNs) models were developed for the analysis and prediction of the relationship between the cutting conditions and the corresponding fractal parameters of machined surfaces in face milling operation. These models can help manufacturers to determine the appropriate cutting conditions, in order to achieve specific surface roughness profile geometry, and hence achieve the desired tribological performance (e.g. friction and wear) between the contacting surfaces. The input parameters of the “ANNs” models are the cutting parameters: rotational speed, feed, depth of cut, pre-tool flank wear and vibration level. The output parameters of the model are the corresponding calculated fractal parameters: fractal dimension “D” and vertical scaling parameter “G”. The model consists of three-layered feed-forward back-propagation neural network. ANNs models were utilized successfully for modeling and predicting the fractal parameters “D” and “G” in face milling operations. Moreover, W–M fractal function was integrated with the developed ANNs models in order to generate an artificially fractal predicted profiles at different cutting conditions. The predicted profiles were found statistically similar to the actual measured profiles of test specimens.     

Optimization and control of drilling burr formation of AISI 304L and AISI 4118 based on drilling burr control charts

Control charts for drilling burr formation for stainless, AISI 304L, and low alloy steel, AISI 4118, were developed. Split point twist drills are used for the experiments of this work. A Drilling Burr Control Chart, based on experimental data, is a tool for prediction and control of drilling burrs. Burr classification was carried out based on the geometric characteristics, burr formation mechanisms and sizes of the burrs. New parameters consisting of cutting condition variables and drill diameter were developed, and used to show unique distributions of the burr types. Burr types and the resultant burr size showed great dependence on the new parameters regardless of the drill diameters. Through the chart, burr type can be predicted with given cutting conditions. Also cutting conditions that are believed to create preferred burr types can be selected.     

The optimal cutting-parameter selection of production cost in HSM for SKD61 tool steels

The main purpose of this study was to construct an investigation of optimal cutting parameters for minimizing production cost on the rough machining of high speed milling operation. A machining model is constructed based on a polynomial network. The polynomial network can learn the relationships between cutting parameters (cutting speed, feed per tooth, and axial depth of cut) and tool life through a self-organizing technique. Once the material removal volume for machined parts and various time and cost components of the high speed milling operations are given, an optimization algorithm using a simulated annealing method is then applied to the polynomial network for determining optimal cutting parameters. The optimal cutting parameters are subjected to an objective function of minimum production cost with the feasible range of cutting parameters.