Condition monitoring of marine diesel engines through ferrographic oil analysis

The effect of surface hardness on scuffing was investigated using a two-disc machine. The changes in the surface conditions, especially surface roughness, surface hardness and the formation of an oxide film, in the running-in process have a marked influence on the scuffing resistance. Therefore a hard disc does not always have a high resistance to scuffing. In this investigation, quenched discs of the highest surface hardness, in which the improvement in surface roughness and the formation of an oxide film are expected to be small, offered the poorest resistance to scuffing. By contrast, annealed discs of the lowest hardness, in which a diminished surface roughness and an increased surface hardness caused by the work hardening that necessarily accompanies the formation of an oxide film are expected, exhibited a considerably higher resistance to scuffing.     

球体滚压参数对表面质量的影响

论述了滚压参数对球体滚压后零件表面粗糙度及表面硬度的影响 ,提出了合理的滚压参数 ,并对滚压条件作了全面分析     

氮化硅陶瓷镶块低粗糙度磨削的研究

提出氧化铝砂轮磨削陶瓷表面的加工过程是砂轮磨粒与工件表面凸峰的碰撞－碰撞与摩擦共同作用－摩擦抛光。对砂轮速度，工件转速、砂轮横向进给量、光磨次数，陶瓷材料硬度以及切削液等因素对表明粗糙度的影响进行了分析，表明氧化铝砂轮通过挤压和磨削抛光作用使陶瓷工件表面的粗糙度得到显著改善，实现了在普通磨床上对陶瓷材料的高质量加工。     

Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel

An experimental investigation was conducted to analyze the effect of cutting parameters (cutting speed, feed rate and depth of cut) and workpiece hardness on surface roughness and cutting force components. The finish hard turning of AISI 52100 steel with coated Al₂O₃ + TiC mixed ceramic cutting tools was studied. The planning of experiment were based on Taguchi’s L₂₇ orthogonal array. The response table and analysis of variance (ANOVA) have allowed to check the validity of linear regression model and to determine the significant parameters affecting the surface roughness and cutting forces. The statistical analysis reveals that the feed rate, workpiece hardness and cutting speed have significant effects in reducing the surface roughness; whereas the depth of cut, workpiece hardness and feed rate are observed to have a statistically significant impact on the cutting force components than the cutting speed. Consequently, empirical models were developed to correlate the cutting parameters and workpiece hardness with surface roughness and cutting forces. The optimum machining conditions to produce the lowest surface roughness with minimal cutting force components under these experimental conditions were searched using desirability function approach for multiple response factors optimization. Finally, confirmation experiments were performed to verify the pertinence of the developed empirical models.     

Approach for Polishing Diamond Coated Complicated Cutting Tool: Abrasive Flow Machining(AFM)

Lower surface roughness and sharper cutting edge are beneficial for improving the machining quality of the cut?ting tool, while coatings often deteriorate them. Focusing on the diamond coated WC?Co milling cutter, the abrasive flow machining(AFM) is selected for reducing the surface roughness and sharpening the cutting edge. Comparative cutting tests are conducted on di erent types of coated cutters before and after AFM, as well as uncoated WC?Co one, demonstrating that the boron?doped microcrystalline and undoped fine?grained composite diamond coated cutter after the AFM(AFM?BDM?UFGCD) is a good choice for the finish milling of the 6063 Al alloy in the present case, because it shows favorable machining quality close to the uncoated one, but much prolonged tool lifetime. Besides, compared with the micro?sized diamond films, it is much more convenient and e cient to finish the BDM?UFGCD coated cutter covered by nano?sized diamond grains, and resharpen its cutting edge by the AFM, owing to the lower initial surface roughness and hardness. Moreover, the boron incorporation and micro?sized grains in the underly?ing layer can enhance the film?substrate adhesion, avoid the rapid film removal in the machining process, and thus maximize the tool life(1040 m, four times more than the uncoated one). In general, the AFM is firstly proposed and discussed for post?processing the diamond coated complicated cutting tools, which is proved to be feasible for improving the cutting performance     

Prediction of cutting force, tool wear and surface roughness of Al6061/SiC composite for end milling operations using RSM

The results of mathematical modeling and the experimental investigation on the machinability of aluminium (Al6061) silicon carbide particulate (SiCp) metal matrix composite (MMC) during end milling process is analyzed. The machining was difficult to cut the material because of its hardness and wear resistance due to its abrasive nature of reinforcement element. The influence of machining parameters such as spindle speed, feed rate, depth of cut and nose radius on the cutting force has been investigated. The influence of the length of machining on the tool wear and the machining parameters on the surface finish criteria have been determined through the response surface methodology (RSM) prediction model. The prediction model is also used to determine the combined effect of machining parameters on the cutting force, tool wear and surface roughness. The results of the model were compared with the experimental results and found to be good agreement with them. The results of prediction model help in the selection of process parameters to reduce the cutting force, tool wear and surface roughness, which ensures quality of milling processes.     

Structural, optical and mechanical properties of nanostructure diamond synthesized by chemical vapor deposition

Nanostructure diamond (NSD) films on Si substrate are prepared by microwave plasma enhanced chemical vapor deposition (MPECVD) using methane and hydrogen as the reactants with two-step negative substrate bias (SB). The dependencies of the NSD film morphology, grains, surface roughness, crystal and bonding structures and hardness on the negative SB at the bias-enhanced growth (BEG) step and substrate temperature during growth have been investigated by conducting atomic force microscopy (CAFM), X-ray diffraction (XRD), Raman spectroscopy and nanoindentation. The hardness of the NSD film is found to be as high as 80 GPa with CAFM average and root mean square roughness of 7 and 9 nm, respectively, under optimal negative SB at the BEG step. From the studies of substrate temperature effect, the hardness of the NSD film is as high as 70 GPa, with average and root mean square CAFM roughness of 9 and 11 nm, respectively, which were obtained at a substrate temperature of 500 °C. In both cases, the film hardness was found to be affected by the size of clusters, which are composed of many small NSD particles, the amount of NSD in an amorphous matrix as well as surface roughness. We also synthesized transparent NSD films by MPECVD under optimized single-step growth conditions on quartz substrates, which are scratched with several micrometers diamond powder. A hardness as high as 60 GPa and a maximum transmittance of 60% in the visible light region are achieved for an NSD coating of 1.0 μm thickness with small surface roughness.     

Investigation of the burnishing process with PCD tool on non-ferrous metals

It is well known that the no-chip machining process, burnishing, can easily improve surface roughness, waviness and hardness. To get the practical useful parameters, the effects of various burnishing parameters (spindle speed, depth, feed, burnishing radius and lathe) on surface roughness and waviness of the non-ferrous components were studied experimentally with a theoretical analysis. The experiments were conducted with a simply designed cylindrical surfaced polycrystalline diamond tool developed by us. It was found that smaller parameters do not mean lower surface roughness or waviness and different optimum burnishing parameters can be got under different burnishing conditions.     

Investigating the Tribological Characteristics of Burnished Polyoxymethylene—ANFIS and FE Modeling

ABSTRACT

Polymers are utilized in numerous tribological applications because of their excellent characteristics; for example, accommodating shock loading and shaft misalignment. A high surface finish is required to ensure consistently good performance and extended service life of manufactured polymeric components. Burnishing is the best choice as a finishing process for this study due to its ability to increase hardness, fatigue strength, and wear resistance and also introduce compressive residual stress on the burnished workpiece. Due to the complexity and uncertainty of the machining processes, soft computing techniques are preferred for anticipating the performance of the machining processes. In this study, ANFIS as an adaptive neuro-fuzzy inference system was applied to anticipate the workpiece hardness and surface roughness after the roller burnishing process. Five burnishing variables, including burnishing depth, feed rate, speed, roller width, and lubrication mode, were analyzed. A Gauss membership function was used for the training process in this study. The predicted surface roughness and hardness data were compared with experimental results and indicated that the Gauss membership function in ANFIS has satisfying accuracy as high as 97% for surface roughness and 96% for hardness. Furthermore, the generated compressive residual stress on the burnished surface was studied by a 2D finite element model (FEM). The simulated results of residual stress were validated with the experimental results obtained from X-ray diffraction (XRD) tests.     

CVD金刚石薄膜涂层刀具精密切削表面质量的研究

CVD金刚石薄膜刀具的表面粗糙度及加工过程中的切削用量是影响加工工件表面质量的关键因素。为改进CVD沉积工艺 ,减小金刚石薄膜表面粗糙度 ,提出了合理控制沉积气压的新工艺方法 ,并通过切削试验研究了不同沉积工艺下制备的CVD薄膜涂层刀具和加工过程中不同切削用量对精密切削表面质量的影响。     

Experimental Investigation on the Compatibility of Nanoparticles with Vegetable Oils for Nanofluid Minimum Quantity Lubrication Machining

Several health and environmental related issues caused by the application of traditional cutting fluids in machining can be solved by implementing eco-friendly technologies such as minimum quantity lubrication (MQL). Moreover, nanofluid MQL has been proposed to enhance the cooling/lubricating properties of pure MQL and displays significantly good results for machinability. However, the mechanism on compatibility of nanoparticles with cutting fluids has not been explored. In this study, nanoparticles with different hardness and vegetable oils with different viscosity were selected for nanofluids preparation. The end milling experiments were carried out on 7050 material by applying MQL with particularly prepared nanofluids. The cutting force and surface roughness were measured corresponding to the machining performance. The compatibility of hardness of nanoparticles with viscosity of base fluids has been evaluated, and the mechanism has been analyzed by new-designed tribology tests. Results show that canola oil-based diamond nanofluids MQL exhibit the lowest cutting force and natural77 oil-based diamond nanofluids perform the lowest surface roughness with reduction of 10.71 and 14.92%, respectively, compared to dry machining condition. The research is novel and contributes to the machining of such materials at the industry level.     

扭杆弧形槽精密微细电火花加工工艺研究

针对扭杆弧形槽的加工要求,分析了机械误差对加工精度的影响,设计了合理的装夹方案,降低了机械误差对制造精度的影响;通过正交试验法分析了电加工参数对弧形槽表面粗糙度的影响,采用最优加工参数,可得到Ra=0.1μm的弧形槽表面;研制了扭杆电火花加工刚度在位测量装置,该装置能解决扭杆加工中既要满足面形精度又要满足加工刚度的要求。     

电化学磁粒光整加工实验

从电化学磁粒光整加工对材料去除量和表面粗糙度影响规律的实验结果表明,由于磁粒加工过程中不断地去除钝化膜,使表面露出的新基体,从而进一步加速了电化学过程,实现表面整平,磁粒光整加工和电化学过程的复合,使光整加工效率和表面质量得到提高。     

机械加工影响表面粗糙度的因素及改善措施

机械加工工件时加工精度与机床的精度及包括刀具、夹具、工件在内的整个系统有直接的关系,影响机械加工精度的因素很多,如机床制造零件的误差和安装误差以及加工过程中的有关操作,需要掌握机械加工中各种工艺对加工零件表面质量影响的规律,以便运用这些规律来控制零件加工的表面粗糙度,最终改善零件的表面质量、提高产品使用性能、减少机械设备的损坏、降低生产成本、提高经济效益。本文探讨了机械加工影响零件表面粗糙度的因素及改善措施。     

磨料流微去除力学分析与可控因素影响

研究了磨料流抛光中磨粒微去除力学建模方法以及可控因素影响抛光效果的问题。以力为纽带,提出磨粒去除工件表面微凸材料的动力来源于三个方面--介质作用力、磨粒挤压载荷和磨粒冲击载荷。利用建立的力学模型,分析了磨料流加工的内在因素,其中可控因素包括：加工温度、加工压力、活塞的移动速度、磨料黏度、磨粒物理性质（如尺寸、硬度）等;研究了各可控影响因素与工件表面抛光质量及效率的关系;量化了可控因素的大小对磨粒作用在工件表面的力的影响程度;将磨粒作用在工件表面的力合成并分解为与活塞运动方向相同的轴向力和垂直于工件壁面的切向力,指出微去除效果随轴向力与径向力的比值改变而发生变化,设计出简易的测量轴向力和径向力的方案。用试验验证了所建模型和可控因素对抛光效果影响,以及工件表面的加工纹理方向直接影响工件表面粗糙度的减小率和材料去除率的正确性。     

CVD金刚石薄膜涂层刀具精密切削表面质量的研究

CVD金刚石薄膜刀具的表面粗糙度和加工过程中的切削用量是影响加工工件表面质量的关键因素.为改进CVD沉积工艺,减小金刚石薄膜表面粗糙度,提出了合理控制沉积气压的新工艺方法,并通过切削试验研究了不同沉积工艺下制备的CVD薄膜涂层刀具和加工过程中不同切削用量对精密切削表面质量的影响.     

Investigations on surface integrity of AISI 1045 using LPB tool

Low plasticity burnishing (LPB) is relatively a new method of surface enhancement, which raises the burnishing to the next level of sophistication. LPB can provide deep stable surface compression for improved surface integrity characteristics. The present study focuses on the surface roughness, microhardness, surface integrity and fatigue life aspects of AISI 1045 work material, using full factorial design of experiments. The assessment of the surface integrity aspects on work material was done, in terms of evaluating the interaction effects of parameters, identifying the predominant factor amongst the selected parameters, their order of significance and setting the levels of the factors for minimizing surface roughness and/or maximizing surface hardness and fatigue life. Mathematical expressions were developed for surface characteristics of importance as response variables. Subsurface microhardness studies were also done to assess the depth of compression, altered material zone and correlate fatigue life with surface roughness and surface hardness. The process can be applied to critical components effectively, as the LPB process today has significant process cycle time advantages, and lower capital cost. Additional cost reduction will be realized by introducing proven high speed machining concepts into the LPB process.     

枪钻与麻花钻加工质量的对比研究

利用台式钻床和深孔加工机床分别对常用Q235钢、45钢和铝材进行孔加工试验。通过对孔表面质量的观测和粗糙度的检测,对比研究上述两种加工方法的表面质量。结果表明:麻花钻加工材料越软孔口毛刺越明显,枪钻加工软硬材料的孔口部都呈平整无毛刺。一般条件下,枪钻加工铝合金有色金属材料的孔表面粗糙度值Ra为0.9μm左右,麻花钻为1.6μm左右;枪钻加工碳钢材料孔的表面粗糙度值Ra为1.8μm左右,麻花钻孔的表面粗糙度值Ra9.6-5.6μm;对于不同硬度的碳钢,麻花钻加工孔质量变化明显,一般硬度高的质量较好,枪钻则变化不显著;相比有色金属,麻花钻及枪钻加工孔的质量都优于碳钢。     

Mirror surface machining of high-alloy steels by elliptical vibration cutting with single-crystalline diamond tools: Influence of alloy elements on diamond tool damage

Elliptical vibration cutting with single-crystalline diamond tools is applied to mirror surface machining of high-alloy steels such as cold work die steels and high-speed tool steels with a hardness of more than 60 HRC. Although practical mirror surface machining of hardened die steels such as Stavax (modified AISI 420) with a hardness of 53 HRC has been realized with the elliptical vibration cutting, lives of single-crystalline diamond tools are not sufficiently long in machining of some high-alloy steels, that may be caused by a large amount of alloy elements. In order to clarify the influence of the alloy elements on the diamond tool damage, the elliptical vibration cutting experiments are conducted on six kinds of high-alloy steels and four kinds of pure metals which are the same as the alloy elements. Mechanical properties of the alloy steels, i.e. difference in hardness between carbides and matrices, and the number of small carbides, are measured, and their influence on the micro-chippings are investigated. The chemical states of the alloy elements in high-alloy steels are analyzed using an X-ray diffraction (XRD) and an electron probe micro analyzer (EPMA), and their influence on the tool wear is discussed. Based on the investigation, a mirror surface machining of DC53, which has a high hardness of 62.2 HRC and the best machinability in the tested high-alloy steels, is demonstrated, and a mirror surface with a roughness of Rt 0.05 μm is obtained successfully.     

基于RSM的SiC单晶片表面粗糙度预测及参数优化

通过响应面分析法(RSM)对超声振动辅助金刚石线锯切割SiC单晶体的工艺参数进行分析和优化。采用中心组合设计实验,考察线锯速度、工件进给速度、工件转速和超声波振幅这4个因素对SiC单晶片表面粗糙度值的影响,建立了SiC单晶片表面粗糙度的响应模型,进行响应面分析,采用满意度函数(DFM)确定了切割SiC单晶体的最佳工艺参数,验证试验表明该模型能实现相应的硬脆材料切割过程的表面粗糙度预测。