Kinematics and Wear of Tool Blades for Scrap Tire Shredding

Abstract

The wear of tool blades for cost-effective scrap tire shredding is investigated. Rotary disk cutters are widely used for cutting scrap tires into small pieces. The hard, wear-resistant tool blades mounted on the periphery of disk cutters maintain a narrow gap between blades and generate the cutting action. The kinematics of the relative motion of two adjacent disk cutters is derived to model the overlap region on blades during cutting. The model predictions match well with the actual shapes of the worn regions on used tool blades. The wear of tool blades made of AISI D2 and CRU-WEAR (CW) tool steels for scrap tire shredding is evaluated. A coordinate measurement machine was used to measure the tool wear. The wear on the blade surface is not uniform. Regions with high wear rate are explained using the kinematics analysis. The CW blades show a lower wear rate, about half of that of D2 blades, and a potential choice for cost savings.     

Modelling of CBN tool crater wear in finish hard turning

The wear of cubic boron nitride (CBN) cutters, commonly used now in the finish turning of hardened parts, is an important issue that needs to be addressed for hard turning to be a viable technology due to the high costs of CBN cutters and the down-time for tool change. Chipping and tool breakage, which lead to early tool failure, are both prone to take place under the effect of crater wear. The objective of this study is to develop a methodology to model the CBN tool crater wear rate to both guide the design of CBN tool geometry and optimise cutting parameters in finish hard turning. First, the wear volume losses due to the main wear mechanisms (abrasion, adhesion, and diffusion) are modelled as functions of cutting temperature, stress, and other process attributes respectively. Then, the crater wear rate is predicted in terms of tool/work material properties and cutting configuration. Finally, the proposed model is experimentally validated in finish turning of hardened 52100 bearing steel using a low CBN content insert. The comparison between the prediction and the measurement shows reasonable agreement and the results suggest that adhesion is the main wear mechanism over the investigated range of cutting conditions .     

高速干切削铁基粉末冶金零件时细晶粒硬质合金刀具的切削性能研究

用细晶粒硬质合金刀具进行了铁基粉末冶金零件的高速干切削试验。研究了切削参数与刀具耐用度以及加工表面粗糙度的关系,给出了刀具的主要磨损形态,通过能谱分析研究了刀具的磨损机理。结果表明:所选用细晶粒硬质合金刀具具有较高的刀具耐用度和较好的加工表面粗糙度,适合于铁基粉末冶金的加工;细晶粒硬质合金的主要磨损形态是前刀面的月牙洼磨损;主要磨损机理是扩散磨损、粘结磨损。     

磨损状况下聚晶金刚石钻头切削齿的切削参数求解

针对磨损状况下PDC钻头切削齿的切削参数预测方法尚未建立,无法很好地开展等磨损布齿设计的问题,建立了磨损齿的几何模型,并提出了求解切削参数的零点遍历法。基于MATLAB平台对零点遍历法进行编译,并对切削齿的切削弧长、切削面积和切削体积进行求解。结果表明,提出的零点遍历法能够用于磨损齿和未磨损齿的切削参数求解（误差在2%以下）;结合切削齿的受力与磨损模型,能够预测PDC钻头每颗齿的磨损趋势。     

凸曲前刀面插齿刀插削温度与刀具磨损关系数值模拟

基于DEFORM - 3D软件对凸曲前刀面插齿刀插削过程进行仿真,分析插削温度对刀具磨损影响情况.结果表明,在插削刃附近温度梯度很大,温度高,相应刀具磨损量大;刀具前后刀面距插削刃相等地方的温度趋于一致;后刀面温度梯度大,相应刀具磨损量较大,即后刀面磨损较为前刀面严重;在与切屑分离的地方,温度梯度最小,虽有温度变化,但...     

Effects of Cutting Parameters on Tool Insert Wear in End Milling of Titanium Alloy Ti6A14V

Titanium alloy is a kind of typical hard-to-cut material due to its low thermal conductivity and high strength at elevated temperatures, this contributes to the fast tool wear in the milling of titanium alloys. The influence of cutting conditions on tool wear has been focused on the turning process, and their influence on tool wear in milling process as well as the influence of tool wear on cutting force coefficients has not been investigated comprehensively. To fully understand the tool wear behavior in milling process with inserts, the influence of cutting parameters on tool wear in the milling of titanium alloys Ti6Al4 V by using indexable cutters is investigated. The tool wear rate and trends under different feed per tooth, cutting speed, axial depth of cut and radial depth of cut are analyzed. The results show that the feed rate per tooth and the radial depth of cut have a large influence on tool wear in milling Ti6Al4 V with coated insert. To reduce tool wear, cutting parameters for coated inserts under experimental cutting conditions are set as: feed rate per tooth less than 0.07 mm, radial depth of cut less than 1.0 mm, and cutting speed sets between 60 and 150 m/min. Investigation on the relationship between tool wear and cutting force coefficients shows that tangential edge constant increases with tool wear and cutter edge chipping can lead to a great variety of tangential cutting force coefficient. The proposed research provides the basic data for evaluating the machinability of milling Ti6Al4 V alloy with coated inserts, and the recommend cutting parameters can be immediately applied in practical production.     

Effects of cutting parameters on tool insert wear in end milling of titanium alloy Ti6Al4V

Titanium alloy is a kind of typical hard-to-cut material due to its low thermal conductivity and high strength at elevated temperatures, this contributes to the fast tool wear in the milling of titanium alloys. The influence of cutting conditions on tool wear has been focused on the turning process, and their influence on tool wear in milling process as well as the influence of tool wear on cutting force coefficients has not been investigated comprehensively. To fully understand the tool wear behavior in milling process with inserts, the influence of cutting parameters on tool wear in the milling of titanium alloys Ti6Al4V by using indexable cutters is investigated. The tool wear rate and trends under different feed per tooth, cutting speed, axial depth of cut and radial depth of cut are analyzed. The results show that the feed rate per tooth and the radial depth of cut have a large influence on tool wear in milling Ti6Al4V with coated insert. To reduce tool wear, cutting parameters for coated inserts under experimental cutting conditions are set as: feed rate per tooth less than 0.07 mm, radial depth of cut less than 1.0 mm, and cutting speed sets between 60 and 150 m/min. Investigation on the relationship between tool wear and cutting force coefficients shows that tangential edge constant increases with tool wear and cutter edge chipping can lead to a great variety of tangential cutting force coefficient. The proposed research provides the basic data for evaluating the machinability of milling Ti6Al4V alloy with coated inserts, and the recommend cutting parameters can be immediately applied in practical production.     

分形维数在高速钢和硬质合金刀具磨损中的应用

为了更好地研究现代刀具,将分形理论引入刀具磨损研究。从理论、实践上验证了高速钢刀具和硬质合金刀具后刀面磨损存在着分形结构,并通过实验计算出了刀具磨损的分形维数。     

超细晶粒Ti(C,N)基金属陶瓷刀的磨损性能研究

研究了两种超细晶粒纳米改性Ti（C，N）基金属陶瓷刀具——44Ti（C，N）-5TiN（nm）-15WC-16M02C-20Ni（刀具A）和39Ti（C，N）-10TiN（nm）-15WC-16M02C-20Ni（刀具B）在加工正火态中碳钢时的切削性能和磨损机理。研究表明，两种刀具材料的显微组织都由金属相与陶瓷相组成，其中粗大的陶瓷相呈典型的芯／壳结构，陶瓷相晶粒尺寸为400～800nm。切削实验表明，刀具A的切削性能要优于刀具B，刀具A常以后刀面正常磨损的方式失效，刀具B则常以破损崩刃的方式失效。能谱（EDS）分析表明，高速切削时金属陶瓷刀具主要的磨损机制是扩散磨损和氧化磨损。     

干式车削渗碳淬硬钢20CrMnTi的试验研究

通过切削试验 ,得出了硬质合金刀具和陶瓷刀具干式车削渗碳淬硬钢 2 0CrMnTi时的刀具耐用度和陶瓷刀具的T v曲线 ,建立了T v经验公式 ,并研究了陶瓷刀具的磨损形貌和磨损机理。     

Selection of an optimal parametric combination for achieving a better surface finish in dry milling using genetic algorithms

In machining, coolants improve machinability, increase productivity by reducing tool wear and extend tool life. However, due to ecological and human health problems, manufacturing industries are now being forced to implement strategies to reduce the amount of cutting fluids used in their production lines. A trend that has emerged to solve these problems is machining without fluid – a method called dry machining – which has been made possible due to technological innovations. This paper presents an experimental investigation of the influence of tool geometry (radial rake angle and nose radius) and cutting conditions (cutting speed and feed rate) on machining performance in dry milling with four fluted solid TiAlN-coated carbide end mill cutters based on Taguchi’s experimental design method. The mathematical model, in terms of machining parameters, was developed for surface roughness prediction using response surface methodology. The optimization is then carried out with genetic algorithms using the surface roughness model developed and validated in this work. This methodology helps to determine the best possible tool geometry and cutting conditions for dry milling.     

纳米TiN改性金属陶瓷刀具的磨损性能研究

研究了纳米TiN改性TiC金属陶瓷刀具（纳米改性金属陶瓷刀具，下同）与普通Ti（C，N）基金属陶瓷刀具及硬质合金刀具在切割正火态45钢时的磨损曲线及磨损机理。结果表明：纲米TiN改性TiC基金属陶瓷刀具的效果明显；与硬质合金刀具相比，纳米改性金属陶瓷刀具优良的综合性能使其具有更同的耐磨性。刀具的失效形式主要是磨损及崩刃。     

Tribological compatibility and improvement of machining productivity and surface integrity

Machining process productivity and machined part quality improvement is a considerable challenge for modern manufacturing. One way to accomplish this is through the application of PVD coatings on cutting tools. In this study the wear rate and wear behavior of end milling cutters with mono-layered TiAlCrN and nano-multilayered self-adaptive TiAlCrN/WN PVD coatings have been studied under high performance dry ball-nose end-milling conditions. The material being machined in this case is hardened H13 tool steel. The morphology of the worn surface of the cutting tool has been studied using SEM/EDX. The microstructure of the cross-section of the chips formed during cutting was analyzed as well. The surface integrity of the workpiece material was also evaluated. Surface roughness and microhardness distribution near the surface of the workpiece material was also investigated. The data presented shows that achieving a high degree of tribological compatibility within the cutting tool/workpiece system can have a big impact on tool life and surface integrity improvement during end milling of hardened tool steel.     

石墨材料高速切削加工的研究现状

介绍了各向同性石墨材料的制备工艺、性能特点及应用场合,综合评述了高速切削加工石墨材料的切削机理、刀具磨损、工艺参数和冷却方式的研究现状,对高速加工石墨的常用刀具进行了性能分析与比较。     

陶瓷刀具干式车削淬硬钢试验研究

通过切削试验。得到了陶瓷刀具CC650干式车削渗碳淬硬钢20CrMnTi的磨损曲线。并利用扫描电子显微镜。观察了刀具的磨破损形貌，对刀具磨损区进行了元素含量的能谱分析。得出了刀具的磨损机理。     

Wear behavior of wood-cutting edges

The performance of cutting edges has been extensively researched for many types of wood-cutting tools, usually with respect to tool geometry. The wear behavior of saw chain cutters, however, has received little attention and forms the subject of this investigation.In a series of field experiments, the relative “life to resharpening” of new steel and chromium-plated steel cutters was determined. A subsequent laboratory investigation was undertaken to ascertain the wear rates of the cutters. Chromium-plated cutters proved to be superior but the difference in wear rates was much greater than the difference in life to resharpening.From optical and scanning electron microscopy observations of the worn cutters, it is concluded that abrasive wear is the dominant deterioration process.     

Intelligent monitoring and prediction of tool wear in CNC turning by utilizing wavelet transform

In order to realize an intelligent CNC machine, this research proposed the in-process tool wear monitoring system regardless of the chip formation in CNC turning by utilizing the wavelet transform. The in-process prediction model of tool wear is developed during the CNC turning process. The relations of the cutting speed, the feed rate, the depth of cut, the decomposed cutting forces, and the tool wear are investigated. The Daubechies wavelet transform is used to differentiate the tool wear signals from the noise and broken chip signals. The decomposed cutting force ratio is utilized to eliminate the effects of cutting conditions by taking ratio of the average variances of the decomposed feed force to that of decomposed main force on the fifth level of wavelet transform. The tool wear prediction model consists of the decomposed cutting force ratio, the cutting speed, the depth of cut, and the feed rate, which is developed based on the exponential function. The new cutting tests are performed to ensure the reliability of the tool wear prediction model. The experimental results showed that as the cutting speed, the feed rate, and the depth of cut increase, the main cutting force also increases which affects in the escalating amount of tool wear. It has been proved that the proposed system can be used to separate the chip formation signals and predict the tool wear by utilizing wavelet transform even though the cutting conditions are changed.     

PCBN刀具的磨损机理和干切削GCr15时的磨损与寿命

研究了PCBN刀具的磨损机理和磨损形式。通过对干切削GCr15轴承钢时刀具的磨损形式及寿命进行试验研究 ,得出了工件硬度、切削速度对PCBN刀具磨损的影响规律以及工件硬度在临界硬度附近时刀具磨损速度最快的结论。加工两种硬度工件时的刀具寿命方程表明 ,切削速度对PCBN刀具寿命的影响小于对硬质合金及陶瓷刀具寿命的影响。     

Cutting tests for end-milling radius cutters of high-speed steel with and without diffusion coating

Results of laboratory cutting tests of an end-milling radius cutter of R6M5 high-speed steel with a diffusion complex coating (C-B-N) and without coating are given. The relationship between the wear kinetics and tool life is determined. Under the accepted test conditions, the tool life with coating is shown to be 1.6 times higher than the tool life of similar milling cutters without coating. The higher tribological stability of the coating in the course of wear is verified by the results of electron-microscope analysis of the worn surfaces of milling cutters.     

Surface generation modeling of micro milling process with stochastic tool wear

Micro milling is widely used to manufacture miniature parts and features at high quality with low set-up cost. To achieve a higher quality of existing micro products and improve the milling performance, a reliable analytical model of surface generation is the prerequisite as it offers the foundation for surface topography and surface roughness optimization. In the micro milling process, the stochastic tool wear is inevitable, but the deep influence of tool wear hasn't been considered in the micro milling process operation and modeling. Therefore, an improved analytical surface generation model with stochastic tool wear is presented for the micro milling process. A probabilistic approach based on the particle filter algorithm is used to predict the stochastic tool wear progression, linking online measurement data of cutting forces and tool vibrations with the state of tool wear. Meanwhile, the influence of tool run-out is also considered since the uncut chip thickness can be comparable to feed per tooth compared with that in conventional milling. Based on the process kinematics, tool run-out and stochastic tool wear, the cutting edge trajectory for micro milling can be determined by a theoretical and empirical coupled method. At last, the analytical surface generation model is employed to predict the surface topography and surface roughness, along with the concept of the minimum chip thickness and elastic recovery. The micro milling experiment results validate the effectiveness of the presented analytical surface generation model under different machining conditions. The model can be a significant supplement for predicting machined surface prior to the costly micro milling operations, and provide a basis for machining parameters optimization.