导电加热切削最佳加热电流的确定

对导电加热切削的最佳温度及最佳加热电流进行了分析，在用 耐用度确定最佳加热电流方法基础上，提出一种基于最佳切削温度守恒定以确定最佳加热电流的新方法，该方法可迅速确定不同切削条件下的最佳加热电流，为导电加热切削过程提供了优化控制依据。     

导电加热切削地加工表面质量的影响

为在导电加热切削中获得最佳加工表面质量,对加热电流与切削用量的关系进行了试验研究,并对最佳加热电流的概念进行了分析讨论。     

导电加热切削最佳加热电流的实验研究

在导电加热切削过程中,如何保证以最佳的加热电流或温度进行切削是提高导电加热切削效果的关键问题。对 导电加热切削最佳加热电流进行了分析和实验研究,为导电加热切削技术的实际应用提供了有益的参考。     

导电加热切削最佳加热电流的确定及其控制

在导电加热切削过程中，如何保证以最佳的加热温度进行切削是提高导电加热切削效果的关键问题。本文从刀具耐用度，加工表面粗糙度等方面研究了导电加热切削的最佳加热电流，以高频ＩＧＢＴ逆变开关电源进行试验，设计了导电加热切削加热电流控制系统，并进行了温度控制试验。     

导电加热切削最佳电流数据库的建立

对导电加热切削中主要电参数进行了分析与检测，提出一种快速确定最佳加热电流的新方法，建立了相应的数据库，供导电加热切削过程中电参数的适应性控制使用。     

LED结温精密测量及相关因素分析

分析了LED结温精密测量中测量电流、加热电流、加热时间等三项测量因素的变化对所测结温的影响。实验采用小电流K系数法测试结温。实验结果表明:1W LED被测样品,当测量电流在0～30mA时结温逐渐升高,当测量电流超过30mA时结温趋于稳定;LED样品的结温数据与加热电流呈近似线性变化,表明能够通过加热电流对LED结温及相关光学性能实现线性调控。同时研究表明,结温精密测量还受到加热时间的影响,测得LED器件稳定的结温需要一定的加热时间。     

GCr15钢导电加热硬切削性能有限元仿真

为研究常见的耐磨和难加工材料GCr15钢的硬切削性能,利用Deform-3D对GCr15钢的导电加热切削过程进行有限元仿真;建立有限元模型,在切削参数一定的情况下,分析加热电流对刀具磨损深度、刀具主切削力,以及刀-屑接触区温度的影响。试验结果表明:刀具磨损深度随着加热电流的增加先逐渐增加然后逐渐减小,当加热电流达到一定值时刀具磨损深度锐减;随着加热电流的增加,刀具的主切削力逐渐减小,特别是当加热电流达到一定值时,主切削力开始明显减小,并呈现出线性下降趋势。     

导电加热切削有限元仿真及试验研究

正交回归试验建立的导电加热切削加热电阻经验公式表明,加热电流对加热电阻的影响最大。利用加热电阻经验公式进行了有限元分析,归纳出加热电阻焦耳热产生温升的经验公式。结合三维切削模型和Umbrello本构方程,对导电加热切削的切削力和温度场进行了三维有限元仿真及试验验证。加热电流I≥160A时可以得到较小的切削力;切削变形区的切屑处温度最高;最佳切削温度对应的最佳加热电流为168～190A。     

导电加热切削最佳加热电流的确定及其控制

在导电加热切削过程中，如何保证以最佳的加热温度进行切削是提高导电加热切削效果的关键问题．本文从刀具耐用度、加工表面粗糙度等方面研究了导电加热切削的最佳加热电流，以高频ＩＧＢＴ逆变开关电源进行试验，设计了导电加热切削加热电流控制系统，并进行了温度控制试验。     

综合集成网络在电镦机加热电流预报中的应用

选取镦粗缸活塞运动速度、砧子缸活塞运动速度、镦粗压力和加热时间作为输入参数,加热电流作为输出参数,并用数学模型、BP神经网络、加法网络、乘法网络以及神经网络与机理模型综合集成的五种方案来对加热电流进行预报。比较结果表明,综合集成模型将数学模型的知识集成到网络结构中,在“小样本”时,不仅能减少连接权值,而且能加快训练速度,提高泛化能力,在电镦机加热电流的预报中取得了良好效果。     

利用导电加热切削抑制积屑瘤和鳞刺的研究

通过导电加热的温度补偿，导电加热切削能有效抑制金属切削表面的积屑瘤和鳞刺。刀－工接触区的温升与加热电流密切相关，存在一个与最佳切削温度相适应的最佳加热电流值范围。     

基于状态参量检测的导电加热切削最佳电流控制

提出利用切削状态当量电阻作为导电加热切削中的电流控制参数，并对该参量和切削用量的变化关系进行了分析。试验证明，切削状态当量电阻能有效反映切削条件的变化，通过检测其变化可实现导电加热切削加热电流的最佳控制。     

Finite element simulation and experimental research on electric hot machining

Electric hot machining (EHM) can improve cutting performance through heating resistance, which softens the material in the deformation zone. In this study, an empirical formula for heating resistance is presented, and its variance with the orthogonal regression experiments is analyzed. The results show that heating resistance increases with cutting speed and heat current but decreases as feed rate and cutting depth increase. Feed rate has the greatest influence on heating resistance. Furthermore, an empirical formula with finite element simulation (FES) is constructed to describe the temperature increase triggered by Joule heating of the heating resistance. Both three-dimensional (3D) FES and experimental verification of the cutting force and the temperature field during the EHM process are conducted, combined with a 3D cutting model and an Umbrello constitutive relation. The results show that a lower cutting force can be achieved when the heating current is greater than or equal to 160 A. The chip in the deformation zone has the highest temperature, and the optimal heating current for optimal cutting temperature is 168 to 190 A.     

Experimental study and parameter design of electro-discharge diamond grinding

Electrical discharge diamond grinding (EDDG), which integrates diamond grinding and electro-discharge machining (EDM), is a new hybrid machining process for shaping electrically conductive very hard materials. The process employs synergetic interactive effect of electro-discharge action and abrasion action to increase machining performance. This paper presents an investigation on the experimental study and machining parameter design of electro-discharge diamond grinding (EDDG). The EDDG setup was designed and fabricated, and experiments were conducted on high speed steel (HSS) workpiece under varying current, pulse-ontime, duty factor and wheel speed. The settings of machining parameters were determined by using the Taguchi experimental design method. The level of the machining parameters on the MRR is determined by using analysis of variance (ANOVA). The optimum machining parameter combination was obtained by using the evaluated S/N ratio.     

Some studies into wire electro-discharge machining of alumina particulate-reinforced aluminum matrix composites

Non-traditional process like wire electro-discharge machining is found to show a promise for machining metal matrix composites. However, the machining information for the difficult-to-machine particle-reinforced material is inadequate. This paper is focused on experimental investigation to examine the effect of electrical as well as non-electrical machining parameters on performance in wire electro-discharge machining of metal matrix composites (Al/Al₂O₃p). Taguchi orthogonal array was used to study the effect of combination of reinforcement, current, pulse on-time, off-time, servo reference voltage, maximum feed speed, wire speed, flushing pressure and wire tension on cutting speed, surface finish, and kerf width. Reinforcement percentage, current, and on-time was found to have significant effect on cutting rate, surface finish, and kerf width. The optimum machining parameter combinations were obtained for surface finish, cutting speed, and kerf width separately. Wire breakages were found to pose limitations on the cutting speed in machining of these materials. Wire shifting was found to deteriorate the machined surfaces.     

Smart lubrication via pump response interval (PRI) variation in the machining process

The development of new lubrication methods in CNC machine carriages is a current requirement in the machining industry. Previously, lubrication systems of CNC machines were only improved via injection automation approaches. This paper focuses on the lubrication mode on the linear guideways of CNC machines. Additionally, the research investigates the effects of oil injection time and the amount of the required lubricant for accurate and precise machining. This study was also concerned with variations in environmental temperature and carriage movement conditions. Oil injection amount was determined by pump response interval (PRI), which was varied for optimization. Smart optimum quantity lubrication (SOQL) was applied to overcome unexpected changes in practical parameters during machining. The optimum oil consumption of SOQL was achieved when PRI was 15 s, resulting in a reduction of oil consumption of up to 25 %. The SOQL technique is an emerging method in lubrication technology and plays an important role in alleviating the current issues that CNC lubrication systems are faced with.     

加热辅助切削研究

伴随着高性能材料的越来越多的应用和加工周期的不断缩短,为降低制造成本,高效加工方法成为当前研究的热点。作为从根本上改善材料切削性的加热辅助切削技术是一种大有潜力的技术。这里对加热辅助切削的研究从多方面进行了阐述。包括加热方法、加热材料类型、切削性变化规律等。最后,对不同加热方法的优缺点进行了对比分析,指出加热辅助切削技术在未来的加工业中将发挥越来越大的作用,特别是在淬硬材料的高效切削加工中。     

ELECTRICAL DISCHARGE DIAMOND GRINDING OF HIGH SPEED STEEL

A combination of two machining processes (i.e., a hybrid process) has a potential to improve process performance. This paper reports on experimental investigation of the electrical discharge diamond grinding process that combines mechanical grinding with electrical discharge machining. In this process, the workpiece is simultaneously subjected to heating, by electrical sparks bridging the gap between the metallic wheel bonding material and the work, and abrasion by diamond grains. The effect of current, voltage, pulse-on-time and duty factor on the grinding forces and the material removal rate while machining high speed steel workpiece, are investigated. The spark discharges facilitate grinding by thermally softening the work material in the grinding zone, and consequently decreasing the nromal force. It is observed that the material removal rate increases with an increase in current and pulse on-time, while it decreases with an increase in voltage and duty factor. These independent parameters are also found to significantly influence the grinding forces.     

Wavelength optimization for machining metals with the harmonic generations of a short pulsed Nd:YAG laser

The wavelength conversion for a short pulsed Nd:YAG laser has been implemented from infrared to visible and to ultraviolet spectra by using nonlinear optical crystals. The analytical method of wavelength optimization for machining metals with various harmonic generations of a Nd:YAG laser is presented in this paper. Combining the absorptivity of metal and the conversion efficiency of laser apparatus, the absorption efficiency is proposed to select an optimum machining wavelength. Various metals have different optimum machining wavelengths. The optimum machining wavelengths for gold, silver, and copper are in the third-, fourth- and second-harmonic generations of a Nd:YAG laser, respectively. For other metals, such as nickel, their optimum machining wavelengths are all in the fundamental wavelength of a Nd:YAG laser.