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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
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
Tool path strategy and cutting process monitoring in intelligent machining
Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING
《机械工程前沿(英文)》 2018年 第13卷 第2期 页码 232-242 doi: 10.1007/s11465-018-0469-y
Intelligent machining is a current focus in advanced manufacturing technology, and is characterized by high accuracy and efficiency. A central technology of intelligent machining—the cutting process online monitoring and optimization—is urgently needed for mass production. In this research, the cutting process online monitoring and optimization in jet engine impeller machining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligent machining. Results show that intelligent tool path optimization and cutting process online monitoring are efficient techniques for improving the efficiency, quality, and reliability of machining.
关键词: intelligent machining tool path strategy process optimization online monitoring
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)
Energy efficient cutting parameter optimization
Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI
《机械工程前沿(英文)》 2021年 第16卷 第2期 页码 221-248 doi: 10.1007/s11465-020-0627-x
关键词: energy efficiency cutting parameter optimization machining process
Ion beam figuring of continuous phase plates based on the frequency filtering process
Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG
《机械工程前沿(英文)》 2017年 第12卷 第1期 页码 110-115 doi: 10.1007/s11465-017-0430-5
Ion beam figuring (IBF) technology is an effective technique for fabricating continuous phase plates (CPPs) with small feature structures. This study proposes a multi-pass IBF approach with different beam diameters based on the frequency filtering method to improve the machining accuracy and efficiency of CPPs during IBF. We present the selection principle of the frequency filtering method, which incorporates different removal functions that maximize material removal over the topographical frequencies being imprinted. Large removal functions are used early in the fabrication to figure the surface profile with low frequency. Small removal functions are used to perform final topographical correction with higher frequency and larger surface gradient. A high-precision surface can be obtained as long as the filtering frequency is suitably selected. This method maximizes the high removal efficiency of the large removal function and the high corrective capability of the small removal function. Consequently, the fast convergence of the machining accuracy and efficiency can be achieved.
关键词: ion beam figuring (IBF) continuous phase plates (CPPs) machining accuracy machining efficiency frequency filtering process
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
High frequency group pulse electrochemical machining
WU Gaoyang, ZHANG Zhijing, ZHANG Weimin, TANG Xinglun
《机械工程前沿(英文)》 2007年 第2卷 第3期 页码 293-296 doi: 10.1007/s11465-007-0051-5
关键词: HGPECM process machining quality passivation inter-electrode
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
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)
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)
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
A review of low-temperature plasma-assisted machining: from mechanism to application
《机械工程前沿(英文)》 2023年 第18卷 第1期 doi: 10.1007/s11465-022-0734-y
关键词: low-temperature plasma difficult-to-cut material machinability hydrophilization effect Rehbinder effect
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
Cryogenic minimum quantity lubrication machining: from mechanism to application
《机械工程前沿(英文)》 2021年 第16卷 第4期 页码 649-697 doi: 10.1007/s11465-021-0654-2
关键词: cryogenic minimum quantity lubrication (CMQL) cryogenic medium processing mode device application mechanism application effect
标题 作者 时间 类型 操作
Simulation of abrasive flow machining process for 2D and 3D mixture models
Rupalika DASH,Kalipada MAITY
期刊论文
Tool path strategy and cutting process monitoring in intelligent machining
Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING
期刊论文
adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing electro chemical machiningprocess
Reza TEIMOURI, Hamed SOHRABPOOR
期刊论文
Energy efficient cutting parameter optimization
Xingzheng CHEN, Congbo LI, Ying TANG, Li LI, Hongcheng LI
期刊论文
Ion beam figuring of continuous phase plates based on the frequency filtering process
Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG
期刊论文
Energy saving design of the machining unit of hobbing machine tool with integrated optimization
期刊论文
High frequency group pulse electrochemical machining
WU Gaoyang, ZHANG Zhijing, ZHANG Weimin, TANG Xinglun
期刊论文
Optimization of WEDM process of pure titanium with multiple performance characteristics using Taguchi
Rupesh CHALISGAONKAR, Jatinder KUMAR
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