纳米TiN改性TiC基金属陶瓷刀具切削性能的研究

制备了纳米TiN改性的TiC基金属陶瓷刀片 ,并用该刀片与普通TiC基金属陶瓷刀片进行了对比切削试验。结果表明 ,添加TiN纳米粒子可有效改善TiC基金属陶瓷刀具的机械性能和切削性能 ,改性金属陶瓷刀片可以较高切削速度加工碳钢和合金钢 ,此时其主要失效形式为粘结磨损     

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。     

纳米TiN改性TiC基金属陶瓷可转位刀片研究

阐述了用纳米TiN改性对TiC基金属陶瓷力学性能的影响，用自行研制的纳米TiN改性的TiC基金属陶瓷可转位刀片与YT15、YT8及未改性的TiC基金属陶瓷刀片进行了对比性的切削试验。结果表明纳米TiN改性的TiC基金属陶瓷刀片具有优良的综合切削性能，生产应用具有广阔的前景。     

纳米TiN提高金属陶瓷刀具耐磨损性能的机理研究

研究纳米TiN显著提高TiC基金属陶瓷刀具耐磨损性能的机理。结果表明 ,纳米TiN在晶界上的分布阻碍了TiC晶粒的长大 ,细化了金属陶瓷组织 ,提高了强度、硬度等力学性能 ,使金属陶瓷刀具的耐磨损性能提高。     

金属陶瓷刀具高速切削钛合金试验研究

采用自主研发的Ti(C,N)基金属陶瓷刀具对TC4钛合金(Ti6Al4V)进行了高速车削试验。从切削力、工件已加工表面质量和刀具寿命等方面分析了Ti(C,N)基金属陶瓷刀具加工TC4钛合金的切削性能。通过扫描电子显微镜(SEM)观察和能量分散光谱(EDS)扫描分析,研究了不同几何形状的Ti(C,N)基金属陶瓷刀片高速车削TC4钛合金的失效形态及失效机理。     

性能优异的切削刀具材料——金属陶瓷

分析比较了金属陶瓷材料的性能特点 ,介绍了超细微粒金属陶瓷、涂层金属陶瓷、超韧金属陶瓷等新型金属陶瓷刀具材料的切削性能及适用范围。     

超细TiC0.7N0.3基金属陶瓷的切削性能研究

采用超细TiC0 7N0 3 粉制备了超细金属陶瓷刀片。该刀片加工 9CrSi调质钢时 ,寿命比普通金属陶瓷刀片提高 2～ 3倍 ,切削力小 ,切削轻快 ,被加工表面质量显著提高。讨论了该刀片切削性能改善的机理。     

TiN涂层精密复杂刀具切削特性的研究

本文研究了精密复杂高速钢刀具经TiN涂层后的切削特性、重磨后的特性和高速切削特性。实验证明,经TiN涂层处理的齿轮滚刀可提高切削寿命6倍以上,插齿刀可提高5倍以上,拉刀可拉削HRC25～36的难加工材料,光洁度可提高1级,TiN涂层后的滚刀、插齿刀经重磨开刃后,其切削寿命仍然比未涂层的新刀提高6倍以上,对于齿轮刀具、拉削刀具等刃磨前刃面的刀具,TiN涂层仍然保持刀具的高寿命。     

TiC(N)基金属陶瓷刀具材料的制备与切削性能研究

制备了一种新型TiC(N)基金属陶瓷刀具材料 ,并通过加工冷硬铸铁、4 5钢的对比切削试验 ,分析研究了它的切削性能     

Ti(C,N)基金属陶瓷刀具与纳米改性

介绍了Ti(C,N)基金属陶瓷刀具材料的特点及适用范围，分析了如何用纳米技术对Ti(C,N)基金属陶瓷刀具材料进行改性，以提高其强韧性，同时简述了其制备的工艺过程，进行了切削试验，并指出其合适的加工材料。     

纳米金属陶瓷刀具在绿色制造中的应用

以纳米TiN(3 0～ 5 0nm)改性金属陶瓷刀具为研究对象 ,通过实验测得该刀具物理性能及其在较高切削速度 (Vc =2 0 0m/min以上 )下干切削 45钢时的切削性能     

An automatic system based on vibratory analysis for cutting tool wear monitoring

The aim of this work is to develop a new, simple to use and reliable automatic method for detection and monitoring wear on the cutting tool. To achieve this purpose, the vibratory signatures produced during a turning process were measured by using a three-axis accelerometer. Then, the mean power analysis was proposed to extract an indicator parameter from the vibratory responses, to be able to describe the state of the cutting tool over its lifespan. Finally, an automatic detector was proposed to evaluate and monitor tool wear in real time. This detector is efficient, simple to operate in an industrial environment and does not require any protracted computing time.     

Development of a cutting tool condition monitoring system for high speed turning operation by vibration and strain analysis

Cutting tool wear is a critical phenomenon which influences the quality of the machined part. In this paper, an attempt has been made to create artificial flank wear using the electrical discharge machining (EDM) process to emulate the actual or real flank wear. The tests were conducted using coated carbide inserts, with and without wear on EN-8 steel, and the acquired data were used to develop artificial neural networks model. Empirical models have been developed using analysis of variance (ANOVA). In order to analyze the response of the system, experiments were carried out for various cutting speeds, depths of cut and feed rates. To increase the confidence limit and reliability of the experimental data, full factorial experimental design (135 experiments) has been carried out. Vibration and strain data during the cutting process are recorded using two accelerometers and one strain gauge bridge. Power spectral analysis was carried out to test the level of significance through regression analysis. Experimental results were analyzed with respect to various depths of cut, feed rates and cutting speeds.