Assessment of some factors influencing tool wear on the machining of glass fibre-reinforced plastics by coated cemented carbide tools

Glass fibre-reinforced plastics (GFRP) composite materials are used in many different engineering fields. The need for machining of GFRP composites has not been eliminated fully. The tool wear reduction is an important aspect during machining. In the present work, an attempt has been made to assess the factors influencing tool wear on the machining of GFRP composites. Experimental design concept has been used for experimentation. The machining experiments are carried out on lathe using two levels of factors. The factors considered are cutting speed, fibre orientation angle, depth of cut and feed rate. A procedure has been developed to assess and optimize the chosen factors to attain minimum tool wear by incorporating (i) response table and effect graph; (ii) normal probability plot; (iii) interaction graphs; (iv) analysis of variance (ANOVA) technique. The results indicated that cutting speed is a factor, which has greater influence on tool flank wear, followed by feed rate. Also the determined optimal conditions really reduce the tool flank wear on the machining of GFRP composites within the ranges of parameters studied.     

Influence of cutting conditions on machinability aspects of PEEK,PEEK CF 30 and PEEK GF 30 composites using PCD tools

Polyetheretherketone (PEEK) composite belongs to a group of high-performance thermoplastic polymers, which has high specific properties as compared to conventional metallic materials. Due to its own properties and potential applications in various fields of structural components, it is necessary to investigate the machining of PEEK composites. The present study establishes the relationships between the cutting conditions (cutting speed and feed rate) on two aspects of machinability, namely, power and specific cutting pressure by developing second order mathematical models based on response surface methodology (RSM). The study also focuses on interaction effects between the controllable factors and responses during machining of unreinforced and reinforced PEEK composites using polycrystalline diamond (PCD) tools. The experiments have been planned as per full factorial design (FFD) of experiments. Three types of PEEK composites such as unreinforced polyetheretherketone, reinforced polyetheretherketone with 30% of carbon fibres (PEEK CF 30) and 30% of glass fibres (PEEK GF 30) were used for the machining tests. The analysis of variance (ANOVA) was performed to check the adequacy of the mathematical models. The parametric analysis reveals that, power increases with increase in feed rate while the specific cutting pressure decreases for all the materials tested. The analysis also shows the dependency of both power and specific cutting pressure on cutting conditions. The investigation illustrates that the addition of reinforcements to PEEK in order to improve the material properties affects the machinability.     

陶瓷基复合材料加工技术及其表面亚表面损伤机制研究进展

综述了陶瓷基复合材料的传统机械加工、超声辅助加工、激光加工、多能场复合加工等加工方式的研究进展,并简述了几种加工方式的优缺点.对陶瓷基复合材料的表面及亚表面损伤机制进行了总结和分析,包括材料表面亚表面损伤形式、材料表面亚表面理论及模型研究.提出了传统的陶瓷基复合材料加工技术需要进一步优化刀具材料、开发新的刀具结构、优化工艺参数等,以减少加工缺陷.研究了复合加工中材料去除率最大条件下的损伤容限条件、材料加工后的性能保持性等,同时探究了高效高质量的多能场复合加工新方法及其应用理论,以及研究探索了在复杂载荷及动载荷(如动态切削力、高温切削及超声动态冲击载荷)耦合作用下陶瓷基复合材料的内在损伤机理及演化问题.     

Machinability of bronze–alumina composite with tungsten carbide cutting tool insert

Bronze–alumina metal matrix composites have been attracting the interest of researchers in recent years, as they have many advantageous characteristics. The mechanical properties of the bronze–alumina composite are improved by the addition of alumina in the matrix. In this present work, bronze was reinforced with 10 wt% alumina particles. The bronze–alumina composite was prepared by stir-casting method. Preheated alumina particles were introduced into the vortex of the molten alloy created by a rotating impeller. Machining studies were conducted on bronze and bronze–alumina composite using tungsten carbide cutting tool insert. The flank wear of the carbide tools on machining bronze–alumina composite is higher than on machining bronze because of the abrasive characteristics of alumina. The cutting force during machining of bronze is lower when compared to that on machining bronze–alumina composite. The bronze exhibited slightly better surface finish than bronze–alumina composite.     

Optimization of machining parameters in turning GFRP composites using a carbide (K10) tool based on the taguchi method with fuzzy logics

Glass fiber reinforced polymer (GFRP) composite materials are finding increased applications in a variety of engineering fields. Subsequently, the need for accurate, machining of composites has increased enormously. This paper discusses the application of the Taguchi method with fuzzy logic to optimize the machining parameters for machining of GFRP composites with multiple characteristics. A multi-response performance index (MRPI) was used for optimization. The machining parameters viz., work piece (fiber orientation), cutting speed, feed rate, depth of cut and machining time were optimized with consideration of multiple performance characteristics viz., metal removal rate, tool wear, and surface roughness. The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process.     

Application of fuzzy logic for modeling surface roughness in turning CFRP composites using CBN tool

In recent days, carbon fiber reinforced polymer (CFRP) composites play a vital role in various engineering and technological applications. They are replacing conventional materials due to their excellent properties. Tubes made of these materials are made up of either hand layup process or filament winding processes and are widely used in aircraft, automobile, sports industries, etc., The objective of this study is to examine the influence of machining parameters combination so as to obtain a good surface finish in turning of CFRP composite by cubic boron nitride (CBN) cutting tool and to predict the surface roughness values using fuzzy modeling. The results indicate that the fuzzy logic modeling technique can be effectively used for the prediction of surface roughness in machining of CFRP composites.     

Modeling of chip–tool interface friction to predict cutting forces in machining of Al/SiCp composites

In Al/SiCp metal matrix composites, in addition to machine, tool and process-related parameters, a change in composition (size and volume fraction of reinforcement) has a influence on machining force components. In the analytical models in the literature, the effect of abrasive reinforcement particles, which affects the coefficient of friction and consequently the friction angle, has not been considered while predicting cutting forces in machining of MMCs. In this paper, chip–tool interface friction in machining of Al/SiCp composites has been considered to involve two-body abrasion and three-body rolling caused due to presence of reinforcements in composites. The model evaluates resulting coefficient of friction to predict the cutting forces during machining of Al/SiCp composites using theory of oblique cutting. Further, the model considers various frictional forces on the wiper geometry on the cutting edge that has been found to improve the integrity of machined surface on composites. The predicted cutting force values were found to agree well with the corresponding experimental values for finer reinforcements composites with the assumption that 40% of the reinforcement particles contribute to the abrasion at chip–tool interface. However, for the coarser reinforcement composites, assumption that the 60% of the particles contribute to the abrasion yields better results.     

Indirect cutting force measurement in multi-axis simultaneous NC milling processes

There have been many research works for the indirect cutting force measurement in machining process, which deal with the case of one-axis cutting process. In multi-axis cutting process, the main difficulties to estimate the cutting forces occur when the feed direction is reversed. This paper presents the indirect cutting force measurement method in contour NC milling processes by using current signals of servo motors. A Kalman filter disturbance observer and an artificial neural network (ANN) system are suggested. A Kalman filter disturbance observer is implemented by using the dynamic model of the feed drive servo system, and each of the external load torques to the x and y-axis servo motors of a horizontal machining center is estimated. An ANN system is also implemented with a training set of experimental cutting data to measure cutting force indirectly. The input variables of the ANN system are the motor currents and the feedrates of x and y-axis servo motors, and output variable is the cutting force of each axis. A series of experimental works on the circular interpolated contour milling process with the path of a complete circle has been performed. It is concluded that by comparing the Kalman filter disturbance observer and the ANN system with a dynamometer measuring cutting force directly, the ANN system has a better performance.     

Examination of wire electrical discharge machining of Al2O3p/6061Al composites

Alumina particle reinforced 6061 aluminum matrix composites (Al₂O₃p/6061Al) have excellent physical and chemical properties than those of a traditional metal; however, their poor machinability lead to worse surface quality and serious cutting tool wear. In this study, wire electrical discharge machining (WEDM) is adopted in machining Al₂O₃p/6061Al composite. In the experiments, machining parameters of pulse-on time were changed to explore their effects on machining performance, including the cutting speed, the width of slit and surface roughness. Moreover, the wire electrode is easily broken during the machining Al₂O₃p/6061Al composite, so this work comprehensively investigates into the locations of the broken wire and the reason of wire breaking.The experimental results indicate that the cutting speed (material removal rate), the surface roughness and the width of the slit of cutting test material significantly depend on volume fraction of reinforcement (Al₂O₃ particles). Furthermore, bands on the machined surface for cutting 20 vol.% Al₂O₃p/6061Al composite are easily formed, basically due to some embedded reinforcing Al₂O₃ particles on the surface of 6061 aluminum matrix, interrupt the machining process. Test results reveal that in machining Al₂O₃p/6061Al composites a very low wire tension, a high flushing rate and a high wire speed are required to prevent wire breakage; an appropriate servo voltage, a short pulse-on time, and a short pulse-off time, which are normally associated with a high cutting speed, have little effect on the surface roughness.     

芳纶纤维复合材料切削加工研究进展

随着芳纶纤维复合材料的应用日益广泛,不仅需要进行成形加工,还需要二次加工以保证后续精确配合、连接和装配的需要,这就对加工精度、效率和成本提出了相应要求。二次加工多用切削加工,易出现翻边、分层、拉毛、抽丝、烧焦等加工缺陷,限制了该材料的进一步应用。为拓展其用途,迫切需要全面展开芳纶纤维复合材料的二次加工技术研究。阐述了芳纶纤维复合材料的组成、结构、性能特点和应用领域,并以此为依据论证了芳纶纤维复合材料的切削性能,分析了加工缺陷产生的原因。综述了国内外芳纶纤维复合材料的二次加工现状,阐述了其加工机理和实验研究进展,包括芳纶纤维复合材料的典型加工工艺(如切削加工、铣磨、激光、超声、水射流等),以及对于切削力、表面质量、刀具磨损、切削变形、加工缺陷等方面的研究。切削加工是实现芳纶纤维复合材料二次加工的成熟、高效方法,迫切需要开展一系列切削机理和试验研究。     

超声振动辅助切削SiCp/Al复合材料的加工机理及试验

切削加工过程中材料损伤形式对加工表面质量会产生较大影响,现有仿真分析难以模拟真实颗粒失效行为,通过建立二维微观多相有限元模型能够深入了解材料损伤与表面质量的关系。基于常规切削（Conventional cutting,CC）与超声振动辅助切削（Ultrasonic vibration-assisted cutting,UVAC）两种加工方式,通过有限元仿真软件 Abaqus 对 20%SiCp / Al 复合材料的切削过程进行仿真模拟,阐释加工过程中刀具与工件的相互作用机理,并在同一参数下验证有限元仿真的准确性。通过设计单因素试验,对比两种加工方式及不同加工参数对切削力和表面粗糙度的影响规律,得出最佳加工参数组合,并对最佳加工参数下表面形貌进行分析。模拟和试验结果表明,SiC 颗粒断裂、颗粒耕犁、颗粒拔出以及 Al 基体撕裂是影响 SiCp / Al 复合材料加工质量的主要原因,刀具与颗粒不同的相对作用位置会产生不同的损伤形式。与常规切削相比,施加超声振动后可以有效抑制颗粒失效和基体损伤,使加工中的平均切削力（主切削力）降低 33%,工件已加工表面粗糙度值最大减小量为 531 nm,显著提高了表面质量。所建立的二维微观多相有限元模型,能够有效模拟铝基复合材料的加工缺陷和裂纹损伤问题, 对提高难加工材料的高质量表面制备有重要借鉴意义。     

基于纤维增强复合材料的超声振动辅助加工技术综述

纤维增强复合材料是一类使用范围不断扩大的具有优良机械性能的工程复合材料,但由于其具有各向异性及增强体纤维稳定的理化性能,使得传统金属加工方法很难对纤维增强复合材料进行高质量的加工,特别是对于以芳纶纤维等断裂伸长率较高的纤维为增强体的复合材料,存在较为严重的撕裂、毛刺和分层等加工缺陷。超声振动辅助加工是一种将超声振动附加在机械加工过程中的加工方式。超声振动的加入可使刀具与工件周期性接触,减小切削阻力,降低切削温度,可在一定程度上提高纤维增强复合材料加工的表面质量,减少加工缺陷。在介绍超声振动辅助技术的分类、系统组成和加工机理,及纤维复合材料表面质量、材料去除、加工机理和加工缺陷的基础上,从套料制孔、螺旋铣孔和轮廓铣削三类常见加工工艺方面,论述了针对纤维复合材料的超声振动辅助切削技术的国内外研究进展。基于纤维复合材料超声振动辅助切削技术的发展状况,从基础理论研究、材料表面改性和新加工工艺探索、超声振动加工系统的开发完善等方面,总结了现有研究和应用中的成果及普遍存在的问题,同时对未来研究的发展趋势做出了展望。     

Investigation into the machining of carbon-fibre-reinforced plastics with cemented carbides

In this study, face-turning trials were performed on carbon-fibre-reinforces plastics (CFRP) using sintered carbides (P30 and K20). The cutting forces were measured using a piezo-electric type dynamometer. The worn-out tool edges, the machined CFRP surfaces and the chips were examined under the scanning electron microscope. The force measurements have revealed the existence of a critical velocity for each tool during machining. The machined CFRP surface has a more uniform surface texture with insignificant fibre pull-out. The present study was carried out to generate data and to create a basis for understanding the process of the machining composites.     

Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool

The present work concerns an experimental study of hard turning with CBN tool of AISI 52100 bearing steel, hardened at 64 HRC. The main objectives are firstly focused on delimiting the hard turning domain and investigating tool wear and forces behaviour evolution versus variations of workpiece hardness and cutting speed. Secondly, the relationship between cutting parameters (cutting speed, feed rate and depth of cut) and machining output variables (surface roughness, cutting forces) through the response surface methodology (RSM) are analysed and modeled. The combined effects of the cutting parameters on machining output variables are investigated while employing the analysis of variance (ANOVA). The quadratic model of RSM associated with response optimization technique and composite desirability was used to find optimum values of machining parameters with respect to objectives (surface roughness and cutting force values). Results show how much surface roughness is mainly influenced by feed rate and cutting speed. Also, it is underlined that the thrust force is the highest of cutting force components, and it is highly sensitive to workpiece hardness, negative rake angle and tool wear evolution. Finally, the depth of cut exhibits maximum influence on cutting forces as compared to the feed rate and cutting speed.     

Machinability analysis in turning tungsten–copper composite for application in EDM electrodes

Electro-discharge machining (EDM) is widely used in tooling industry, where it is applied on materials, which are too hard to be machined with conventional techniques. The tungsten–copper is broadly used as an EDM electrode for machining of die steel and tungsten carbide workpieces. As, tungsten–copper electrode is more costly than conventional electrodes, there is a need to understand the machinability aspects in turning of this material. Hence, an attempt has been made in this paper to study the effects of cutting conditions on machinability characteristics such as cutting force, feed force, depth force, machining force, power, specific cutting force, arithmetic average surface roughness and maximum peak to valley height during tungsten–copper turning with K10 carbide cutting tool. The response surface methodology (RSM) based second order mathematical models of machinability aspects are developed using the data obtained through full factorial design (FFD). The adequacy of the machinability models is tested through the analysis of variance (ANOVA). The response surface analysis reveals that a combination of higher cutting speed with low-to-medium feed rate is advantageous in reducing the forces, power and surface roughness, which in turn increases the specific cutting force.     

Tool flank wear prediction in CNC turning of 7075 AL alloy SiC composite

Flank wear occurs on the relief face of the tool and the life of a tool used in a machining process depends upon the amount of flank wear; so predicting of flank wear is an important requirement for higher productivity and product quality. In the present work, the effects of feed, depth of cut and cutting speed on flank wear of tungsten carbide and polycrystalline diamond (PCD) inserts in CNC turning of 7075 AL alloy with 10 wt% SiC composite are studied; also artificial neural network (ANN) and co-active neuro fuzzy inference system (CANFIS) are used to predict the flank wear of tungsten carbide and PCD inserts. The feed, depth of cut and cutting speed are selected as the input variables and artificial neural network and co-active neuro fuzzy inference system model are designed with two output variables. The comparison between the results of the presented models shows that the artificial neural network with the average relative prediction error of 1.03% for flank wear values of tungsten carbide inserts and 1.7% for flank wear values of PCD inserts is more accurate and can be utilized effectively for the prediction of flank wear in CNC turning of 7075 AL alloy SiC composite. It is also found that the tungsten carbide insert flank wear can be predicted with less error than PCD flank wear insert using ANN. With Regard to the effect of the cutting parameters on the flank wear, it is found that the increase of the feed, depth of cut and cutting speed increases the flank wear. Also the feed and depth of cut are the most effective parameters on the flank wear and the cutting speed has lesser effect.     

Surface integrity and material removal mechanisms associated with the EDM of Al2O3 ceramic composite

Electric discharge machining (EDM) has been proven as an alternate process for machining complex and intricate shapes from the conductive ceramic composites. The performance and reliability of electrical discharge machined ceramic composite components are influenced by strength degradation due to EDM-induced damage. The success of electric discharge machined components in real applications relies on the understanding of material removal mechanisms and the relationship between the EDM parameters and formation of surface and subsurface damages. This paper presents a detailed investigation of machining characteristics, surface integrity and material removal mechanisms of advanced ceramic composite Al₂O₃–SiC_w–TiC with EDM. The surface and subsurface damages have also been assessed and characterized using scanning electron microscopy (SEM). The results provide valuable insight into the dependence of damage and the mechanisms of material removal on EDM conditions.     

Effect of tilt angle on cutting regime transition in glass micromilling

Recent development in mechanical micromachining technology has increased the realization of micromachining as a feasible manufacturing process of micro-scale components including glass-based devices. It has been found that glass can be machined in a ductile regime under certain controlled cutting configurations. However, favorable ductile regime machining instead of brittle regime machining in micromilling of brittle glass is still not fully understood as a function of cutting configuration. In this study, the effect of tilt angle along the feed direction on cutting regime transition has been studied in micromilling crown glass with a micro-ball end mill. Straight glass grooves were machined in water bath by varying the tool tilt angle and the feed rate, and the resulting surface was characterized using the scanning electron microscope and the profilometer to investigate the glass cutting regime transition. In characterizing the cutting regimes in glass micromilling, rubbing, ductile machining, and brittle machining regimes are hypothesized according to the undeformed chip thickness. It is found that a crack-free glass surface can be better machined in the ductile mode using a 45° tilt angle and feed rates up to 0.32 mm/min. During each milling pass, surface roughness was found to decrease from the entry zone to the groove bottom and then increase to the exit zone regardless of the cutting regime.     

Feasibility study of electrical discharge machining for W/Cu composite

This study investigates the feasibility and optimization of electrical discharge machining for inspecting the machinability of W/Cu composites using the Taguchi method. W/Cu composites are a type of cooling material highly resistant to heat corrosion produced through powder metallurgy. As W/Cu composites are highly brittle, they are not suited to be machined of traditional machine manufacturing. This paper utilizes electrical discharge machining, which is thermal processing workpieces and not affected by mechanical properties of materials. This experiment utilizes the Taguchi method and L₁₈ orthogonal table to obtain the polarity, peak current, pulse duration, duty factor, rotary electrode rotational speed, and gap-load voltage in order to explore the material removal rate, electrode wear rate, and surface roughness. The influence of each variable and optimal processing parameter will be obtained through ANOVA analysis and verified through experimentation to improve the process. The final step is to study the surface integrities of W/Cu composite, such as surface profile and heat-affected zone, the energy distribution transferring phenomenon of W/Cu composite, and the discharge phenomenon of tungsten and copper elements with electrical discharge machining.     

基于二维切削的SiCp/Al复合材料表面损伤形成机制研究

目的 研究SiCp/Al复合材料切削过程中的表面损伤形成机制。方法 以SiCp/Al复合材料为研究对象,展开基于二维切削的仿真和实验研究,建立了包含铝合金2A14、SiC增强颗粒以及界面特性的SiCp/Al切削仿真模型,对作用于不同Si C颗粒部位的材料表面缺陷进行分析;接着利用高速直线电机搭建能映射二维切削条件的实验平台,在不同材料去除条件下,利用扫描电子显微镜和白光干涉仪对切削表面形貌进行测试,分析和验证切削表面损伤形成条件。结果 SiCp/Al复合材料切削表面损伤机理取决于SiC颗粒相对刀具切削路径的位置：当刀尖作用在Si C颗粒的顶部时,表面损伤主要为基体撕裂、颗粒破碎;当刀尖作用在Si C颗粒的中部时,表面损伤为颗粒破碎导致的裂纹和凹坑;当刀尖作用在Si C颗粒的底部时,表面损伤为颗粒拔出导致的凹坑。随着切削深度的增大,凹坑逐渐增多,表面粗糙度随之增大。结论 利用二维切削模型仿真方法和高速直线电机实验,可以有效研究复合材料切削损伤形成机制。Si C颗粒相对刀具切削路径的位置不同会导致切削损伤不同;SiCp/Al复合材料表面质量会随着切削速度的提升而有所提高。