送丝滚轮电火花修棱加工技术研究

研究开发的送丝滚轮电火花修棱加工系统,主要由单片机控制装置、CNC电火花加工装置、送丝滚轮自动分度装置等部分组成,应用该系统对送丝滚轮电火花修棱加工进行了工艺试验研究.     

Modeling of abrasive flow rotary machining process by artificial neural network

Abrasive flow machining (AFM) is one of the non-traditional machining processes applicable to finishing, deburring, rounding of edges, and removing defective layers from workpiece surface. Abrasive material, used as a mixture of a polymer with abrasive material powder, has reciprocal motion on workpiece surface under pressure during the process. In the following study, a new method of AFM process called henceforth abrasive flow rotary machining (AFRM) will be proposed, in which by elimination of reciprocal motion of abrasive material and the mere use of its stirring and rotation of workpiece, the amount of used material would be optimized. Furthermore, AFRM is executable by simpler tools and machines. In order to investigate performance of the method, experimental tests were designed by the Taguchi method. Then, the tests were carried out and the influence of candidate effective parameters was determined and modeled by artificial neural network (ANN) method. To evaluate the ANN results, they were compared with reported results of AFM. An agreement between our ANN results on predictions of AFRM material removal value and surface roughness was observed with AFM data. The results showed through AFRM, in addition to saving of abrasive material, surface finish is achievable same as AFM’s.     

利用摩擦学系统理论对磨粒流加工过程的分析

简介当前磨粒流加工技术的现状,得到了磨粒流和工件表面的摩擦以及导致的材料去除是该加工过程的核心问题.利用摩擦学系统理论,构建了针对磨粒流-工件表面的摩擦学系统框架,得到了系统的主要结构元素、元素的特性和相互之间的关系.归纳了磨粒流加工过程中材料去除的摩擦学机理,并讨论摩擦学机理与该摩擦学系统的关系,对从摩擦学角度认识磨...     

Numerical simulation of orthogonal machining process using multilayer and single-layer coated tools

The tool edge radius significantly affects material deformation and flow, tool?Cchip friction, and a variety of machining performance measures (such as the cutting forces and tool wear) in mechanical micro/meso-scale machining. The tool edge-related research, either theoretically or experimentally, has been only focused in machining cases in which no built-up edge (BUE) is generated. To close this research gap, a comparative study of sharp and round-edge tools in orthogonal machining with BUE formation is conducted, including both experimental investigations and theoretical modeling. The experimental results show that the variations of the cutting forces are more stable in machining with a sharp tool than those in machining with a round-edge tool. A round-edge tool produces higher vibration magnitudes than does a sharp tool. The cutting vibrations do not necessarily have the same varying pattern as that of the cutting forces in machining with either a sharp tool or a round-edge tool. A neural network-based theoretical model is developed to predict three distinct regions of BUE formation (namely BUE Initiation Region, Steady BUE Region, and Unsteady BUE Region) in machining with a round-edge tool. The developed neural network model has been proven valid using a separate set of cutting experiments under different cutting conditions from those used for network training and testing.     

MOCVD反应器内部气体流动模拟分析

以金属有机化学气相沉积（MOCVD）反应器沉积GaN为对象,建立了反应器内部数学模型.通过应用GAMBIT软件划分复杂模型的基础上,对新颖的反应器的输运过程进行了二维数值模拟的研究,计算了反应器中流场的分布.根据对模拟结果的分析可知,在低于常压和反应器进口距加热器距离较小的工况下,反应器内的输运过程比较稳定,满足制备薄膜所需的层流特征.     

Application of a variable flow stress machining theory to helical end milling

A methodology of modeling chip geometry of flat helical end milling based on a variable flow stress machining theory is presented in this article. The proposed model is concerned with the variation of the width of cut thickness. The nonuniform chip thickness geometry is discretized into several segments based on the radial depth of cut. The chip geometry for each segment is considered to be constant by taking the average value of the maximum and minimum chip thickness. The maximum chip thickness for each chip segment is computed based on the current width of cut, feed per tooth and the cutter diameter. The subsequent radial depth of cut is subtracted from the discretized size of the width of cut to obtain the minimum chip thicknesses. The forces for each segment are summed to obtain the total forces acting on the system of the workpiece and the tool. The cutting forces can be predicted from input data of work material properties, cutter configuration and the cutting conditions used. The validation of the proposed model is achieved by correlating experimental results with the predicted results obtained.     

金刚石工具头超声波复合加工的实验研究

研究了金刚石工具头超声波复合加工方法的可行性及加工参数与材料去除率的关系。在研究超声加工，超声复合加工和金刚石工具的基础上，借助SEM分析其典型塑性材料和脆性材料的加工形貌，初步讨论了该方法去除材料的机理。     

Determining dynamically active abrasive particles in the media used in centrifugal force assisted abrasive flow machining process

Abrasive flow machining (AFM) is a relatively new non-traditional process in which a semisolid media consisting of abrasive particles and a flexible polymer carrier is extruded through or across the component to be machine finished. This process is capable of providing excellent surface finishes on a wide range of simple as well as intricated shaped components. Low material removal rate happens to be one major limitation of this process, because during machining not all the abrasive particles participate in removing material from the work piece. Limited efforts have hitherto been directed towards improving the efficiency of the process so as to achieve higher material removal rates. An effort has been made towards the performance improvement of this process by applying centrifugal force on the abrasive media with the use of a rotating centrifugal force generating (CFG) rod introduced in the work piece passage. The modified process is termed as centrifugal force assisted abrasive flow machining (CFAAFM). This paper presents a mathematical model developed to calculate the number of dynamics active abrasive particles participating in the finishing operation in the AFM and CFAAFM process. The analysis of results show that there is great enhancement of number of dynamic active abrasive particles in CFAAFM as compared to the AFM process, which seems to be the contributing factor for the increase in material removal and % improvement in surface roughness for a given number of cycles in CFAAFM. The results of experiments conducted to validate the model show a close agreement between the analytical and experimental results.     

Development of an online machining process monitoring system: a case study of the broaching process

This paper presents a new online machining process monitoring system based on the PXI hardware platform and the LabVIEW software platform. The whole system is composed of the following interconnected packages: sensing, triggering, data acquisition, characterisation, condition monitoring and feature extraction packages. Several signal processing methods, namely, cross-correlation, resample, short-time Fourier transform (STFT) and statistical process control, are developed to extract the features of tool malfunctions and construct the thresholds of malfunction-free zones. Experimental results show that the developed online process monitoring system is efficient for acquiring, analysing and presenting sensory signals simultaneously, while the developed signal processing techniques are effective for detecting tool wear and constructing thresholds for tool-malfunction-free zones. Additionally, a sensitivity analysis of the signals acquired from alternative sensors versus those collected from a dedicated platform dynamometer has been carried out. This enables the evaluation of the possibility to employ alternative sensing techniques in an industrial environment.     

Material flow stress and failure in multiscale machining titanium alloy Ti-6Al-4V

Titanium Ti-6Al-4V alloy is a typical difficult-to-machine material due to its unique physical and mechanical properties. The material properties of Ti-6Al-4V play an important role in process design and optimization. However, the dynamic mechanical behavior is poorly understood and accurate predictive models have yet to be developed. This work focuses on the dynamic mechanical behavior of machining Ti-6Al-4V beyond the range of strains, strain rates, and temperatures in conventional materials testing. The flow stress characteristics of strain hardening and thermal softening can be predicted by the Johnson–Cook model coupled with the adiabatic condition. The predicted flow stresses at small strains agree very well with those from the split Hopkinson pressure bar (SHPB) tests, while the predicted flow stresses at large strains also agree with the calculated flow stresses based on the cutting tests with a suitable depth of cut. Heat fraction and temperature parameter control the range of thermal softening and the decrease rate of flow stress. The material may exhibit super plasticity at a small depth of cut with a large radius of the cutting edge in micromachining. Strain rate is one important factor for material fracture close to the cutting edge. The failure strain increases linearly with the increase of homologous temperature, while it only increases slightly with the strain rate.     

A study on the characteristics of a wafer-polishing process according to machining conditions

The polishing process for silicon wafers plays a key role in the fabrication of semiconductors, since a globally planar, mirrorlike wafer surface is achieved in the process. The surface roughness of the wafer depends on the surface properties of the carrier head unit, together with other machining conditions, such as working speed, type of polishing pad, temperature, and down force. In this paper, the results of several experiments are used to study silicon wafer surfaces. The experiments were designed to observe the down force and temperature when a wafer carrier head unit with wafer was pressed down onto a polishing pad. A load cell was employed to detect the applied pressure against the polishing pad, and the working temperature was measured with an infrared sensor. Wafer surface roughness was investigated according to several parameters and experimental data.     

An analysis of cutting-edge curves and machining performance in the Inconel 718 machining process

When considering the machining of materials used for aircraft components, the principal areas of interest usually include the manufacturing characteristics of the materials when they are machined with different cutting-edge curves, and the development of manufacturing processes that improve the machining precision, thereby reducing the time required to carry out secondary machining operations or error correction of the final component. A further area of concern is to develop manufacturing techniques that are capable of generating highly reliable aircraft components which ensure that flight safety is not compromised through component failure. This paper employs a Taguchi L9 experimental layout to investigate the optimal cutting parameters when machining Inconel 718 with the planar-type conical ball-end cutter, the S-type cutter, and the traditional conical ball-end milling cutter. The current results provide a valuable technical database for aircraft component manufacturers who are seeking to enhance their automatic manufacturing capabilities.     

Experimental study on elastic deformation machining process for aspheric surface glass

Elastic deformation machining is a fabrication method that exploits the elastic deformation properties of materials under stress. Coupled with plane lapping machining process, this new fabrication method is suitable for machining complex aspheric surfaces. Upon completion of the machining process, the workpiece under process will be shaped into a desired surface form. The elastic deformation machining has several advantages over traditional fabrication methods, i.e., high machining compatibility and high fidelity of material property during machining process. The subject of this study is to determine the surface shape of the finished glass workpiece after the lapping process of the elastic deformation machining. The experimental results were compared with theoretical calculations. In the case when the vacuum pressure is 50 kPa, the maximum deviation value between the deformation curves from the theoretical calculation and the experiment results is within 62 μm. In order to improve the precision of form surface, the vacuum pressure is modified from 50 to 42 kPa. This reduction corresponds to a change of workpiece thickness when it is lapped. The results of the change of vacuum pressure show that the form accuracy produced is improved significantly and agrees very well with theoretical calculations. The maximum deviation in this case is 1.6 μm. The study indicates that the experimental plane lapping setup that exploits the material elasticity property can be utilized to fabricate aspheric lenses with axisymmetric surface and low complexity.     

在加工中心上进行珩孔工序

Makino公司在加工中心上开发一种获得专利的超硬磨料珩孔工艺,与在加工中心上的精镗工序相配合,对气缸孔进行镗与珩的精加工,取得了明显的经济与技术效果。     

Simulation of abrasive flow machining process for 2D and 3D mixture models

Improvement of surface finish and material removal has been quite a challenge in a finishing operation such as abrasive flow machining (AFM). Factors that affect the surface finish and material removal are media viscosity, extrusion pressure, piston velocity, and particle size in abrasive flow machining process. Performing experiments for all the parameters and accurately obtaining an optimized parameter in a short time are difficult to accomplish because the operation requires a precise finish. Computational fluid dynamics (CFD) simulation was employed to accurately determine optimum parameters. In the current work, a 2D model was designed, and the flow analysis, force calculation, and material removal prediction were performed and compared with the available experimental data. Another 3D model for a swaging die finishing using AFM was simulated at different viscosities of the media to study the effects on the controlling parameters. A CFD simulation was performed by using commercially available ANSYS FLUENT. Two phases were considered for the flow analysis, and multiphase mixture model was taken into account. The fluid was considered to be a Newtonian fluid and the flow laminar with no wall slip.     

现代机械加工车间工艺平面设计

通过对PDM的介绍,提出同车间工艺流程设计的相关性;从系统科学法出发,概括现代机械加工车间工艺平面设计及车间内某些大型机械加工设备基础设计的一些注意事项.     

Position-oriented process monitoring in freeform abrasive machining

Process monitoring is necessary for the identification and avoidance of process disturbances that could cause poor surface integrity at selected machining parameters. In this paper, a position-oriented process monitoring strategy is introduced which enables determination of process characteristics for freeform abrasive machining. Through correlation of internal machine data of position and power during machining with laser displacement measurement, position-orientated maps of power and specific energy can be generated to enable an evaluation of the machining efficiency of the abrasive machining process. Measurement chains are described, and experimental results reveal that the measurement system provides a significant insight into the process by identifying regions of high power, depth of cut, engagement and specific energy on freeform parts.     

Non-linear mechanism in electrical discharge machining process

Electrical discharge machining (EDM) is an advanced non-traditional manufacturing technology that has many advantages over other machining methods. Many papers have discussed the machining mechanism and modeling of the EDM process. However, previous mechanism models have mainly been linear, which contradicts their precondition that EDM is a stochastic process. In this paper, a non-linear mechanism model is proposed for the EDM process. A threshold condition that leads to chaos is calculated using the Melnikov theory. The theoretical results indicate that the EDM system can generate varied chaos in the evolution of electrical discharge. To verify this conclusion, validation experiments are implemented. Several sets of complete EDM processes’ real-time series are analyzed by multiple chaotic numerical criteria, including power spectrum analysis, principle component analysis (PCA), correlation dimension analysis, and Lyapunov exponent analysis. The experimental results provide further qualitative and quantitative evidence that a complete EDM process has dynamical chaotic characteristics.     

Numerical study of the solidification process in biological tissue with blood flow and metabolism effects by the dual phase lag model

The bioheat transfer with phase change in biological tissues during the freezing process is simulated by the dual phase lag conduction heat transfer model. A numerical algorithm based on the enthalpy method is established to solve the solidification of biological tissues. The linearly temperature-dependent enthalpy (non-isothermal phase change) is considered here. The results of the parabolic heat conduction model for a slice of cucumber are compared with the experimental data. A comparison between dual phase lag and hyperbolic solutions with small values of relaxation times is applied in order to verify the corresponding parabolic solutions accuracy of the dual phase lag and hyperbolic solutions. The heating source effect owing to blood perfusion and metabolic heat on the heat transfer in a biological tissue subject to freezing process is studied. The relaxation time has an important influence on the transient temperature and temperature gradient. A major discrepancy among bioheat transfer models is found for zones closer to the cooling boundary. The heat source term, owing to blood flow and metabolism in a phase change problem in the biological tissue, has a significant influence on thermal effects of the subject tissue.