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Recent advances in micro- and nano-machining technologies
Shang GAO, Han HUANG
《机械工程前沿（英文）》 2017年 第12卷 第1期 页码 18-32 doi: 10.1007/s11465-017-0410-9
Device miniaturization is an emerging advanced technology in the 21st century. The miniaturization of devices in different fields requires production of micro- and nano-scale components. The features of these components range from the sub-micron to a few hundred microns with high tolerance to many engineering materials. These fields mainly include optics, electronics, medicine, bio-technology, communications, and avionics. This paper reviewed the recent advances in micro- and nano-machining technologies, including micro-cutting, micro-electrical-discharge machining, laser micro-machining, and focused ion beam machining. The four machining technologies were also compared in terms of machining efficiency, workpiece materials being machined, minimum feature size, maximum aspect ratio, and surface finish.
关键词： micro machining cutting electro discharge machining (EDM) laser machining focused ion beam (FIB)
Mohammadreza SHABGARD, Hamed KAKOLVAND, Mirsadegh SEYEDZAVVAR, Ramin Mohammadpour SHOTORBANI
《机械工程前沿（英文）》 2011年 第6卷 第4期 页码 419-428 doi: 10.1007/s11465-011-0246-7
This paper presents the results of experimental studies carried out to conduct a comprehensive investigation on the influence of ultrasonic vibration of workpiece on the characteristics of Electrical Discharge Machining (EDM) process of FW4 Welding Metal in comparison with the conventional EDM process. The studied process characteristics included the material removal rate (MRR), tool wear ratio (TWR), and surface roughness (Ra and Rmax) of the workpiece after the EDM and ultrasonic assisted EDM (US-EDM) processes. The experiments performed under the designed full factorial procedure and the considered EDM input parameters included pulse on-time and pulse current. The experimental results show that in short pulse on-times, material removal rate in the US-EDM process is approximately quadruple than that of the EDM process. On the contrary, in the long pulse on-times, ultrasonic vibration of work??piece leads to the reduction in the MRR. On the other hand, in short pulse on-times, the TWR in the US-EDM process is lower than that of in the EDM process, and this condition reverses with increase in the pulse on-time. Furthermore, the surface roughness of the workpiece machined by EDM process is slightly lower than that of applied to the US-EDM process.
关键词： electrical discharge machining (EDM) material removal rate (MRR) tool wear ratio (TWR) surface roughness
Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH
《机械工程前沿（英文）》 2013年 第8卷 第3期 页码 319-332 doi: 10.1007/s11465-013-0269-3
The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization has always been a challenge to the researchers. The combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimization of the complex machining processes. In this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond Face Grinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-II. In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For observations of input-output relations, the experiments were conducted on a self developed face grinding setup, which is attached with the ram of EDM machine. During experimentation, the wheel speed, pulse current, pulse on-time and duty factor are taken as input parameters while output parameters are material removal rate (MRR) and average surface roughness (Ra). The results have shown that the developed ANN model is capable to predict the output responses within the acceptable limit for a given set of input parameters. It has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting appropriate value of outputs with multiple objectives.
关键词： hybrid machining processes (HMPs) electrical discharge diamond grinding (EDDG) artificial neural network (ANN) genetic algorithm modeling and optimization
艾兴
《中国工程科学》 2000年 第2卷 第11期 页码 40-51
在机械加工领域，切削加工是应用最广泛的一种加工方法，其发展方向主要是研究髙速切削，对超硬材料加工，主要是发展磨削、超声和放电等高效复合加工技术。文章介绍对髙效切削加工和高效复合加工技术的理论研究和技术开发与应用及所取得的重要成果，主要包括高速切削基础理论、陶瓷刀具材料研究新体系和超硬材料断续磨、超声和电火花的复合加工理论与技术的研究开发。生产实际应用结果表明，高效加工技术可以大幅度提髙加工效率，改善加工表面质量，降低加工成本。
Rupesh CHALISGAONKAR, Jatinder KUMAR
《机械工程前沿（英文）》 2013年 第8卷 第2期 页码 201-214 doi: 10.1007/s11465-013-0256-8
This paper describes the development of multi response optimization technique using utility method to predict and select the optimal setting of machining parameters in wire electro-discharge machining (WEDM) process. The experimental studies in WEDM process were conducted under varying experimental conditions of process parameters, such as pulse on time(Ton), pulse off time(Toff), peak current (IP), wire feed (WF), wire tension (WT) and servo voltage (SV) using pure titanium as work material. Experiments were planned using Taguchi’s L27 orthogonal array. Multi response optimization was performed for both cutting speed (CS) and surface roughness (SR) using utility concept to find out the optimal process parameter setting. The level of significance of the machining parameters for their effect on the CS and SR was determined by using analysis of variance (ANOVA). Finally, confirmation experiment was performed to validate the effectiveness of the proposed optimal condition.
关键词： wire electro-discharge machining (WEDM) Taguchi method analysis of variance (ANOVA) utility concept cutting speed (CS) surface roughness (SR)
Reza TEIMOURI, Hamed SOHRABPOOR
《机械工程前沿（英文）》 2013年 第8卷 第4期 页码 429-442 doi: 10.1007/s11465-013-0277-3
Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantages which can be exploited during machining operation. The process offers several special privileges such as higher machining rate, better accuracy and control, and wider range of materials that can be machined. Contribution of too many predominate parameters in the process, makes its prediction and selection of optimal values really complex, especially while the process is programmized for machining of hard materials. In the present work in order to investigate effects of electrolyte concentration, electrolyte flow rate, applied voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference systems (ANFIS) have been used for creation predictive models based on experimental observations. Then the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR. Finally, the cuckoo optimization algorithm (COA) was used for selection solutions in which the process reaches maximum material removal rate and minimum surface roughness simultaneously. Results indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction accuracy. Also, results obtained while applying of COA have been compared with those derived from confirmatory experiments which validate the applicability and suitability of the proposed techniques in enhancing the performance of ECM process.
关键词： electrochemical machining process (ECM) modeling adaptive neuro-fuzzy inference system (ANFIS) optimization cuckoo optimization algorithm (COA)
Kamal JANGRA, Sandeep GROVER, Aman AGGARWAL
《机械工程前沿（英文）》 2012年 第7卷 第3期 页码 288-299 doi: 10.1007/s11465-012-0333-4
Wire electrical discharge machining (WEDM) is a well known process for generating intricate and complex geometries in hard metal alloys and metal matrix composites with high precision. In present work, intricate machining of WC-5.3%Co composite on WEDM has been reported. Taguchi’s design of experiment has been utilised to investigate the process parameters for four machining characteristics namely material removal rate, surface roughness, angular error and radial overcut. In order to optimize the four machining characteristics simultaneously, grey relational analysis (GRA) coupled with entropy measurement method has been employed. Through GRA, grey relational grade has been computed as a performance index for predicting the optimal parameters setting for multi machining characteristics. Using Analysis of Variance (ANOVA) on grey relational grade, significant parameters affecting the multi-machining characteristics has been determined. Confirmatory results prove the potential of present approach.
关键词： tungsten carbide composite wire electrical discharge machining (WEDM) Taguchi method grey relational analysis (GRA) entropy measurement method
Multiobjective trajectory optimization of intelligent electro-hydraulic shovel
《机械工程前沿（英文）》 2022年 第17卷 第4期 doi: 10.1007/s11465-022-0706-2
关键词： trajectory planning electro-hydraulic shovel cubic polynomial S-curve multiobjective optimization entropy weight technique
Equipment–process–strategy integration for sustainable machining: a review
《机械工程前沿（英文）》 2023年 第18卷 第3期 doi: 10.1007/s11465-023-0752-4
关键词： sustainable machining equipment process strategy manufacturing
Energy saving design of the machining unit of hobbing machine tool with integrated optimization
《机械工程前沿（英文）》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0694-2
关键词： energy saving design energy consumption machining unit integrated optimization machine tool
Fixturing technology and system for thin-walled parts machining: a review
《机械工程前沿（英文）》 2022年 第17卷 第4期 doi: 10.1007/s11465-022-0711-5
关键词： thin-walled part (TWP) fixture machining fixture categories fixture function
《环境科学与工程前沿（英文）》 2021年 第15卷 第5期 doi: 10.1007/s11783-021-1394-6
• Effect of converting ozonation to E-peroxone was studied on pharmaceutical removal.
关键词： Ozone Electro-peroxone Wastewater Quantitative structure activity relationship Advanced oxidation processes
Nanoparticle-enhanced coolants in machining: mechanism, application, and prospects
《机械工程前沿（英文）》 2023年 第18卷 第4期 doi: 10.1007/s11465-023-0769-8
关键词： nanoparticle-enhanced coolant minimum quantity lubrication biolubricant thermophysical properties turning milling grinding
Simulation of abrasive flow machining process for 2D and 3D mixture models
Rupalika DASH,Kalipada MAITY
《机械工程前沿（英文）》 2015年 第10卷 第4期 页码 424-432 doi: 10.1007/s11465-015-0366-6
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.
关键词： abrasive flow machining (AFM) computational fluid dynamics (CFD) modeling mixture model
Liang ZHAO, Linhua LIU,
《能源前沿（英文）》 2009年 第3卷 第4期 页码 381-388 doi: 10.1007/s11708-009-0057-2
关键词： closed-end micro-channel electrical double layer electro-osmotic flow induced pressure gradient Joule heating
标题 作者 时间 类型 操作
Ultrasonic assisted EDM: Effect of the workpiece vibration in the machining characteristics of FW4 Welded
Mohammadreza SHABGARD, Hamed KAKOLVAND, Mirsadegh SEYEDZAVVAR, Ramin Mohammadpour SHOTORBANI
期刊论文
Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on
Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH
期刊论文
Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi’s DOE approach and utility concept
Rupesh CHALISGAONKAR, Jatinder KUMAR
期刊论文
Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing electrochemical machining process
Reza TEIMOURI, Hamed SOHRABPOOR
期刊论文
Optimization of multi machining characteristics in WEDM of WC-5.3%Co composite using integrated approach
Kamal JANGRA, Sandeep GROVER, Aman AGGARWAL
期刊论文
Energy saving design of the machining unit of hobbing machine tool with integrated optimization
期刊论文
Identification of resistant pharmaceuticals in ozonation using QSAR modeling and their fate in electro-peroxone
期刊论文
Simulation of abrasive flow machining process for 2D and 3D mixture models
Rupalika DASH,Kalipada MAITY
期刊论文
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