共查询到20条相似文献,搜索用时 15 毫秒
1.
Amitava Mandal Amit Rai Dixit Alok Kumar Das Niladri Mandal 《Materials and Manufacturing Processes》2016,31(7):860-868
In recent years, wire-electrical discharge machining (WEDM) has gained popularity in the industry due to its capability to generate complicated shapes in exotic materials, irrespective of their hardness. Conventional machining of Nimonic C-263 superalloy is an extremely difficult and costly process due to its high hardness and tool wear rate. The present research work investigates the influence of the WEDM process parameters on different performance measures during machining of Nimonic C-263 superalloy. A mathematical model for all four important performance measures, namely, cutting rate, surface roughness, spark gap, and wire wear ratio, was developed and the responses were used for studying the interrelationship between performance measures and process parameters. The optimal settings of operating conditions were predicted using desirability function. The effectiveness of multicut strategy was also investigated in the article. 相似文献
2.
The wire electrical discharge machining (WEDM) allowed success in the manufacture of the hard, fragile, and materials difficult to cut, especially for electroconductive ceramic materials. In this study, the mathematical models of material removal rate (MRR) and surface roughness (SR) used for the machinability evaluation in the WEDM process of aluminum oxide-based ceramic material (Al2O3 + TiC) have been carried out. The experimental plan adopts the face centered central composite design (CCD). The mathematical models using the response surface methodology (RSM) are developed so as to investigate the influences of four machining parameters, including the peak current, pulse on time, duty factor, and wire speed, on the performance characteristics of MRR and SR. It has been proved that the proposed mathematical models in this study would fit and predict values of the performance characteristics, which would be close to the readings recorded in experiment with a 95% confidence level. The significant parameters that critically affect the performance characteristics are examined. 相似文献
3.
《Materials and Manufacturing Processes》2012,27(3):241-250
The wire electrical discharge machining (WEDM) allowed success in the manufacture of the hard, fragile, and materials difficult to cut, especially for electroconductive ceramic materials. In this study, the mathematical models of material removal rate (MRR) and surface roughness (SR) used for the machinability evaluation in the WEDM process of aluminum oxide-based ceramic material (Al2O3 + TiC) have been carried out. The experimental plan adopts the face centered central composite design (CCD). The mathematical models using the response surface methodology (RSM) are developed so as to investigate the influences of four machining parameters, including the peak current, pulse on time, duty factor, and wire speed, on the performance characteristics of MRR and SR. It has been proved that the proposed mathematical models in this study would fit and predict values of the performance characteristics, which would be close to the readings recorded in experiment with a 95% confidence level. The significant parameters that critically affect the performance characteristics are examined. 相似文献
4.
光学元件聚氨酯抛光特性研究 总被引:1,自引:1,他引:1
本文研究了应用于平面光学元件的快速抛光技术,从材料去除率、元件面形和表面粗糙度出发,对快速抛光技术应用于平面大口径元件的加工效果进行了探讨。研究了在快速抛光技术中压力和主轴转速对材料去除率的影响,验证了Preston公式在快速抛光中的适用性,快速抛光技术的去除效率可达10μm/h;其次,研究了聚氨酯抛光元件面形的精度,对于330mm×330mm元件可达~1.0λ(λ=632.8nm);最后,对快速抛光系统中抛光粉颗粒大小及形态随使用时间的变化进行了观测,并测量了使用300目和500目抛光粉时快速抛光元件表面粗糙度以及其随抛光粉使用时间的变化。 相似文献
5.
《Materials and Manufacturing Processes》2012,27(12):1340-1347
This article presents a systematic approach for modeling and analysis of machining characteristics of Micro-Wire Electric Discharge Machining (Micro-WEDM) process using the Response Surface Methodology (RSM). The effect of various input parameters, such as voltage, capacitance, and feed rate on machining, performance of material removal rate (MRR), kerf width (KW), and surface roughness (SR) was investigated. Experimental work was carried out on Aluminum Matrix Composite (A413-9% B4C) with zinc coated copper wire using RSM with central composite design (CCD). The second order mathematical modeling and analysis of variance (ANOVA) were performed to optimize the machining parameters. It has been found out that main and interaction effects are significant on the machining performance. The optimized values of MMR, KW, and SR parameters were found to be 0.259943 mm3/min, 87 µm, and 0.97 µm, respectively. 相似文献
6.
材料特性对亲水性固结磨料研磨垫加工性能的影响 总被引:1,自引:0,他引:1
为研究材料特性对亲水性固结磨料研磨垫的加工性能影响,本文研究了K9玻璃和硅片两种材料在不同加工顺序下研磨过程中的声发射信号和摩擦系数特征,采用扫描电镜分析磨屑的尺寸与形态.结果表明:不同加工顺序下工件的材料去除速率差别很大.与直接研磨硅片相比,先研磨K9玻璃再研磨硅片,硅片的材料去除速率大幅下降;相反,先研磨硅片再研磨K9玻璃,与直接研磨K9玻璃相比,K9玻璃的材料去除速率变化不大.无论采用哪种加工顺序,后研磨的工件表面粗糙度均比直接研磨的同种工件要大.扫描电镜的分析表明,硅片的磨屑尺寸集中在600 nm~1.5μm,磨屑大部分都棱角完整;而K9玻璃的磨屑尺寸集中在300 nm~500 nm左右,无明显棱角.硅片磨屑较大的尺寸与完整的棱角促进了研磨垫的自修正过程,所以硅片这类脆性较大的材料有利于研磨垫的自修正过程. 相似文献
7.
Investigation on the machining of Aluminium Matrix Composites (AMCs) through non-conventional approach are the current attention over the conventional machining approach of those may produces additional complexity in industrial manufacturing. The current research focused on investigating the machinability characteristics of the newly prepared compocasted AA6061/ cenosphere AMCs implementing a non-traditional material removal process via spark erosion called Electro Discharge Machining (Wire-EDM). The performance measure of the system for the different combinations of independent process variables were considered as cutting rate (CR), Kerf Width (KW) and Surface Roughness (SR). Experimental design were carried out based on Response Surface Methodology (RSM) employed face centered Central Composite Design (CCD) required for the analysis. A hybrid approach comprises of grey relation theory in conjunction with RSM Grey- Response Surface Methodology (GRSM) were executed for the prediction of optimal settings of machining condition which yield the optimum performance characteristics of the system. The model fit summary revealing an adequate fitness of the developed model to the actual system, as the R-square value was found to be 0.9607,close to unity and a larger (<4.0) adequate precision value of 20.87. Noticeable improvement were attained on cutting speed (3.234%), kerf width (2.7415%) and surface roughness (7.053%) implementing the optimal setting of machining parameters based on the proposed hybrid GRSM approach. Generous improvement was also noticed on the 3D optical Wire Electro Discharge (WED) machined surface texture demonstrating the quality of surface roughness and texture using hybrid GRSM predicted processing conditions. 相似文献
8.
Experimental Analysis of Cutting Forces in Microdrilling of Austenitic Stainless Steel (X5CrNi18-10)
Karali Patra Ravi Shankar Anand Markus Steiner Dirk Biermann 《Materials and Manufacturing Processes》2015,30(2):248-255
This article presents an experimental investigation on microdrilling of austenitic stainless steel which is a difficult material for machining because of its properties like high strain-hardening rate, low thermal conductivity, and high fracture toughness. Microholes are produced on X5CrNi18-10 austenitic stainless steel workpiece using 0.5 mm diameter solid carbide microdrills. Two factors (cutting speed and feed) and three levels (low–center–high) full-factorial design of experiment are performed. Response surface methodology is used to developed mathematical models (quadratic and bilinear regression models) for cutting forces in microdrilling. The experimental analysis shows that feed affects the cutting force components (radial and thrust) significantly. Additionally, it also shows that there are only minor effects from cutting speed, square of cutting speed, square of feed and product of speed, and feed on the cutting forces. Finally, the optimized cutting conditions are proposed for minimum cutting forces. 相似文献
9.
采用紫外可见分光技术研究了磁性瓜环(MQ[n])对水体污染物腐殖酸(HA)的去除性能、稳定性及磁性能。考察了MQ[n]的投加量、HA的初始浓度、溶液温度、作用时间及pH值等因素对去除HA的影响。结果表明,MQ[n]对HA具有很好的去除作用,其中,MQ[n]投加量与pH值对HA的去除效果影响较大。其较优条件为MQ[n]投加量20mg、HA初始质量浓度10 mg/L、吸附温度315 K、平衡时间360 min、pH值7.0,在此条件下,MQ[n]对HA的去除率达到98.73%。MQ[n]稳定性好,且易于磁性分离。 相似文献
10.
《Materials and Manufacturing Processes》2012,27(10):1124-1132
This study analyzed the workpiece surface quality (Ra) and the material removal rate (MRR) on process parameters during machining SKD11 by medium-speed wire electrical discharge machining (MS-WEDM). An experimental plan for composite design (CCD) has been conducted according to methods response surface methodology (RSM) and subsequently to seek the optimal parameters. The experimental data were utilized to model MRR and Ra under optimal parameter condition by a backpropagation neural network combined with genetic algorithm (BPNN-GA) method. Eventually, the comparisons between the results from BPNN-GA and those from the RSM demonstrate that BPNN-GA method is a more effective way for optimizing MS-WEDM process parameters. 相似文献
11.
为了提高微晶玻璃化学机械抛光(CMP)的材料去除速率(MRR),降低其表面粗糙度,利用自制的抛光液对微晶玻璃进行化学机械抛光,研究了4种含不同磨料(Si O2、Al2O3、Fe2O3、Ce O2)的抛光液对微晶玻璃化学机械抛光MRR和表面粗糙度的影响.利用纳米粒度仪检测抛光液中磨料的粒径分布和Zeta电位,利用原子力显微镜观察微晶玻璃抛光前后的表面形貌.实验结果表明,在相同条件下,采用Ce O2作为磨料进行化学机械抛光时可以获得最好的表面质量,抛光后材料的表面粗糙度Ra=0.4 nm,MRR=100.4 nm/min.进一步研究了抛光液中不同质量分数的Ce O2磨料对微晶玻璃化学机械抛光的影响,结果表明,当抛光液中Ce O2质量分数为7%时,最高MRR达到185 nm/min,表面粗糙度Ra=1.9 nm;而当抛光液中Ce O2质量分数为5%时,MRR=100.4 nm/min,表面粗糙度最低Ra=0.4 nm.Ce O2磨料抛光后的微晶玻璃能获得较低表面粗糙度和较高MRR. 相似文献
12.
《Materials and Manufacturing Processes》2012,27(11-12):1381-1386
Obtaining good surface finish in tool steels by conventional machining is a difficult task. Nontraditional material removal processes, for example, wire electro discharge machining (WEDM), are very useful for precision manufacturing. In WEDM, it is very difficult to choose the correct combination of machining parameters and materials. Traditionally, heat treatment process is used for improving the hardness of tool steels, whereas cryogenic treatment is used as a secondary treatment to enhance the hardness as well as the wear properties. In this work, the effect of WEDM parameters on surface finish of cryo-treated AISI D2 tool steel is investigated. Taguchi DOE methodology is used for designing and conducting the experiments. The surface roughness was considered a response for improving surface quality. ANOVA is used to optimize the machining process for better surface quality. A mathematical model is developed for predicting the response quality using regression analysis. Further experiments were conducted with optimized parameters to authenticate the usefulness of the proposed model. The confirmation experimental result shows that the model suggested by the Taguchi's method is suitable for improving the surface quality by reducing the surface roughness. 相似文献
13.
Kashif Ishfaq Nadeem Ahmad Mufti Naveed Ahmed Salman Pervaiz 《Materials and Manufacturing Processes》2019,34(5):544-553
Gas/plasma cutting of cladded materials provides inferior cut quality that demands subsequent finishing processes. Abrasive waterjet cutting could be a proficient alternate in terms of cut quality. However, the inherent problem of kerf taper and low material removal rate in comparison to the said thermal cutting processes limit its application. Therefore, potential of aforesaid machining process for cutting of stainless-clad steel is investigated with a prior focus on maximizing the material removal rate with minimum kerf taper. Abrasive mass flow, traverse speed, water pressure, and stand-off distance have been selected as input parameters. ANOVA analysis revealed that traverse rate as well as abrasive mass flow are the major contributing factors for both the responses. Optimal settings of parameters developed by S/N ratio analysis results in an improvement of 18.6% in material removal rate and 39% in the kerf taper. Moreover, regression models are developed and validated through various statistical tests. 相似文献
14.
《Particulate Science and Technology》2012,30(8):981-992
AbstractPowder mixed electric discharge machining (PMEDM) is a further advancement of conventional EDM process in which electrically conductive powder is suspended in the dielectric fluid to enhance the material removal rate (MRR) along with the surface quality. Cryotreatment is introduced in this process for improving the cutting tool properties as well as tool life. In this investigation, EDM is performed for the machining of AISI 304 stainless steel using cryotreated double tempered tungsten carbide electrode when SiC powder is suspended in the kerosene dielectric. The influence of process parameters viz. pulse on time, peak current, duty cycle, gap voltage and powder concentration on tool wear rate (TWR), surface roughness (Ra), and MRR has been studied. Metallographic analysis was carried out for the machined surfaces. By the addition of powder concentration and cryotreated double tempered electrode, significant improvement in the machining efficiency has been found out. When cryotreated electrode used MRR, TWR and Ra decreased by 12%, 24% and 13.3%, respectively and when SiC powder used MRR increased by 23.2%, TWR and Ra decreased by about 25% and 14.2%, respectively. 相似文献
15.
基于磨损行为的单晶硅片化学机械抛光材料的去除特性 总被引:1,自引:0,他引:1
为了掌握化学机械抛光(CMP)过程中硅片表面材料的去除行为,根据CMP过程中硅片表面材料的磨损行为,建立了硅片CMP时的材料去除率构成成分模型,设计了不同成分的抛光液并进行了材料去除率实验,得出了机械、化学及其交互作用所引起的材料去除率.结果显示,机械与化学的交互作用率为85.7%~99.1%.磨粒的机械作用率为69.5%~94.0%,磨粒的机械与化学交互作用率为55.1%~93.1%.由此可见,磨粒的机械作用是化学机械抛光中的主要机械作用,磨粒与抛光液的机械化学交互作用引起的材料去除率是主要的材料去除率.研究结果可为进一步研究硅片CMP时的材料去除机理提供理论参考依据. 相似文献
16.
本文主要研究硬脆晶体材料化学机械抛光中基片内材料去除非均匀性的形成机理.首先分析了化学机械抛光时抛光机的运动参数对硅片表面上相对速度分布非均匀性、摩擦力分布非均匀性、接触压力分布非均匀性及磨粒运动轨迹密度分布非均匀性的影响规律.然后通过基片内材料去除非均匀性实验,得出了抛光机运动参数对基片表面材料去除非均匀性的影响.通过比较理论分析与实验结果,基片表面上相对速度分布非均匀性、摩擦力分布非均匀性及接触压力分布非均匀性随转速的变化趋势与基片表面材料去除非均匀性的实验结果相差较大,只有磨粒在基片表面上的运动轨迹分布非均匀性与基片表面材料去除非均匀性的实验结果趋势相同.研究结果表明,基片表面材料去除非均匀性是由磨粒在基片表面上的运动轨迹分布非均匀性造成的,充分说明了基片表面材料去除的机械作用主要是磨粒的机械作用. 相似文献
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18.
Vinod Kumar Neeraj Sharma Kamal Kumar Rajesh Khanna 《Particulate Science and Technology》2018,36(7):878-886
This paper presents the surface modification of WC-Co alloy with the use of aluminum and silicon powder in wire electric discharge machining (WEDM) process. A separate attachment with the stirrer is used to mix the metal powder in the dielectric, which is further supplied by a pump at the workplace continuously. The effects of different process parameters like peak current, pulse on-time, pulse off-time and servo-voltage are investigated on the material transfer, crack formation and white-layer formation with the help of Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDS) analysis. It was observed that silicon powder enhances the surface quality (4?µm white layer) compared with aluminum (6?µm white layer) powder. The white-layer thickness without the use of metal powder was around 14?µm. The cracks density after the addition powders reduces significantly. 相似文献
19.
为了提高材料去除率和加工通用性,本文提出了工具施加二维超声波振动辅助的化学机械磨削(CMG)复合加工方式,开发具有伸缩和弯曲两种模态的二维超声波振动子及实验装置.以单晶硅片为加工对象,进行单点切削加工轨迹特性分析,并比较不同加工模式以及加工参数对表面粗糙度和材料去除率的影响.实验结果表明,二维超声辅助下的单点切削轨迹存在更多延性加工趋势.在同样普通机床精度条件下,随着时间的增加,二维超声辅助CMG表面粗糙度明显改善,达到纳米级.较无超声情况下二维超声波辅助CMG复合加工材料去除率提高约1倍,可获得最优表面粗糙度5 nm,一维径向超声辅助加工结果次之. 相似文献
20.
The six sigma approach has been increasingly adopted worldwide in the manufacturing sector in order to enhance the productivity and quality performance and to make the process robust to quality variations. This paper deals with one such application of six sigma methodology to improve the yield of deep drawing operations. The deep drawing operation has found extensive application in producing automotive components and many household items. The main issue of concern of the deep drawn products involves different critical process parameters and governing responses, which influences the yield of the operation. The effects of these parameters are analysed by the DMAIC (Define, Measurement, Analyse, Improve, Control)-based six sigma approach. A multiple response optimization model is formulated using the fuzzy-rule-based system. The functional relationship between the process variables and the responses is established, and thereafter their optimum setting is explored with the aid of response surface methodology (RSM). Rigorous experimentations have been carried out, and it is observed that the process capability of processes is enhanced significantly, after the successful deployment of the six sigma methodology. 相似文献