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Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0744-9

Abstract: High-speed dry milling has emerged as a typical green processing technology due to its high processingHowever, the lack of necessary cooling and lubrication in high-speed dry milling makes it difficult tomeet the continuous milling requirements for difficult-to-machine metal materials.In this review, the characteristics and limitations of high-speed dry milling of difficult-to-machineFinally, the shortcomings and technical challenges of energy-field-assisted milling are summarized in

Keywords: difficult-to-machine metal material     green machining     high-speed dry milling     laser energy field-assistedmilling     ultrasonic energy field-assisted milling     cryogenic minimum quantity lubrication energy field-assistedmilling    

Fiber-reinforced composites in milling and grinding: machining bottlenecks and advanced strategies

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0680-8

Abstract: Milling and grinding arise as the preferred choices because of their precision processing.summarizes an up-to-date progress of the damage formation mechanisms and suppression strategies in millingFirst, the formation mechanisms of milling damage, including delamination, burr, and tear, are analyzed

Keywords: milling     grinding     fiber-reinforced composites     damage formation mechanism     delamination     material removal    

Cutting Force Model for a Small-diameter Helical Milling Cutter

LI Xiwen, YANG Shuzi, YANG Mingjin, XIE Shouyong

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 272-277 doi: 10.1007/s11465-007-0047-1

Abstract: In the milling process, the major flank wear land area (two-dimensional measurement for the wear) ofa small-diameter milling cutter, as wear standard, can reflect actual changes of the wear land of theThe cutting force model for the helical milling cutter is validated by experiments.established in the research can provide a theoretical foundation for monitoring the condition of a millingprocess that uses a small-diameter helical milling cutter.

Keywords: computational     corresponding     helical milling     theoretical foundation     Characteristic    

Position-varying surface roughness prediction method considering compensated acceleration in milling

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 855-867 doi: 10.1007/s11465-021-0649-z

Abstract: Machined surface roughness will affect parts’ service performance. Thus, predicting it in the machining is important to avoid rejects. Surface roughness will be affected by system position dependent vibration even under constant parameter with certain toolpath processing in the finishing. Aiming at surface roughness prediction in the machining process, this paper proposes a position-varying surface roughness prediction method based on compensated acceleration by using regression analysis. To reduce the stochastic error of measuring the machined surface profile height, the surface area is repeatedly measured three times, and Pauta criterion is adopted to eliminate abnormal points. The actual vibration state at any processing position is obtained through the single-point monitoring acceleration compensation model. Seven acceleration features are extracted, and valley, which has the highest R-square proving the effectiveness of the filtering features, is selected as the input of the prediction model by mutual information coefficients. Finally, by comparing the measured and predicted surface roughness curves, they have the same trends, with the average error of 16.28% and the minimum error of 0.16%. Moreover, the prediction curve matches and agrees well with the actual surface state, which verifies the accuracy and reliability of the model.

Keywords: surface roughness prediction     compensated acceleration     milling     thin-walled workpiece    

Mechanical behavior and semiempirical force model of aerospace aluminum alloy milling using nano biological

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0720-4

Abstract: In this study, the milling force of the integral end milling cutter is deduced by force analysis of themilling cutter element and numerical simulation.The instantaneous milling force model of the integral end milling cutter is established under the conditionmilling force coefficient.Compared with the milling forces obtained by dry milling, those by NMQL decrease by 21.4%, 17.7%, and

Keywords: milling     force     nanofluid minimum quantity lubrication     aerospace aluminum alloy     nano biological lubricant    

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0

Abstract: In this study, we develop a predictive model of the dimensional accuracy for precision milling of thin-walledBased on the experimental data collected during the milling experiments, the proposed model proved to

Keywords: precision milling     dimensional accuracy     cutting force     convolutional neural networks     coherent noise    

Ball milling promoted direct liquefaction of lignocellulosic biomass in supercritical ethanol

Chunyan Yang, Xiaoliang Yuan, Xueting Wang, Kejing Wu, Yingying Liu, Changjun Liu, Houfang Lu, Bin Liang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 4,   Pages 605-613 doi: 10.1007/s11705-019-1841-0

Abstract: In the present work, ball milling was applied for the pretreatment of lignocellulose to obtain high conversionBall milling substantially decreased the crystallinity and particle size of lignocellulose, thereby improving

Keywords: ball milling     lignocellulose     supercritical ethanol     liquefaction     bio-oil    

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract:

This paper investigates optimization problem of the cutting parameters in high-speed milling on NAK80among spindle speed, feed per tooth and depth of cut to the three directions of cutting force in the milling

Keywords: high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

Coupling evaluation for material removal and thermal control on precision milling machine tools

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 12-12 doi: 10.1007/s11465-021-0668-9

Abstract: Experimental study indicates that TC is the main energy-consuming process of the precision milling machine

Keywords: machine tools     cutting energy efficiency     thermal stability     machining accuracy     coupling evaluation    

3D finite element prediction of chip flow, burr formation, and cutting forces in micro end-milling of

A. DAVOUDINEJAD, P. PARENTI, M. ANNONI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 2,   Pages 203-214 doi: 10.1007/s11465-017-0421-6

Abstract: This study proposed a 3D finite element modeling (3D FEM) approach for the micro end-milling of Al6061

Keywords: 3D finite element modeling     micro end-milling     cutting force     chip formation     burr formation    

Experimental study of surface integrity and fatigue life in the face milling of Inconel 718

Xiangyu WANG, Chuanzhen HUANG, Bin ZOU, Guoliang LIU, Hongtao ZHU, Jun WANG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 243-250 doi: 10.1007/s11465-018-0479-9

Abstract: In this work, the milling of Inconel 718 was conducted at different cutting speeds and feed rates.

Keywords: roughness     hardness     residual stress     microstructure     fatigue life    

Mesoscale fabrication of a complex surface for integral impeller blades

Xibin WANG,Tianfeng ZHOU,Lijing XIE,Li JIAO,Zhibing LIU,Zhiqiang LIANG,Pei YAN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 1,   Pages 116-131 doi: 10.1007/s11465-017-0426-1

Abstract: A mesoscale component is usually manufactured by milling.However, a conventional milling tool cannot meet the machining requirements because of its size and stiffness

Keywords: mesoscale fabrication     micro-milling tool     mesoscale milling     impeller blade    

Erratum to: One-step ball milling-prepared nano Fe

Xingguo Guo, Qiuying Wang, Ting Xu, Kajia Wei, Mengxi Yin, Peng Liang, Xia Huang, Xiaoyuan Zhang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 4, doi: 10.1007/s11783-020-1258-5

Development of meso-scale milling machine tool and its performance analysis

LI Hongtao, LAI Xinmin, LI Chengfeng, LIN Zhongqin, MIAO Jiancheng, NI Jun

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 59-65 doi: 10.1007/s11465-008-0005-6

Abstract: manufacturing such as MEMS and ultra precision machining, this paper focuses on the investigations on the meso millingprocess mechanism studies are investigated based on the analysis of the characteristics of the meso millingThen, a meso-scale milling machine tool system is developed.Through test analysis, the meso milling process with a miniaturized machine tool is proved to be feasible

Keywords: applicable     machining mechanical     overview     positioning subsystem     miniaturized    

Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-axis milling

Aqeel AHMED, Muhammad WASIF, Anis FATIMA, Liming WANG, Syed Amir IQBAL

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 298-314 doi: 10.1007/s11465-020-0621-3

Abstract: The machining industry must maximize the machine tool utilization for its efficient and effective usage. Determining a feasible workpiece location is one of the significant tasks performed in an iterative way via machining simulations. The maximum utilization of five-axis machine tools depends upon the cutting system’s geometry, the configuration of the machine tool, and the workpiece’s location. In this research, a mathematical model has been developed to determine the workpiece’s feasible location in the five-axis machine tool for avoiding the number of iterations, which are usually performed to eliminate the global collision and axis limit errors. In this research, a generic arrangement of the five-axis machine tool has been selected. The mathematical model of post-processor has been developed by using kinematic modeling methods. The machine tool envelopes have been determined using the post-processor and axial limit. The tooltip reachable workspace is determined by incorporating the post-processor, optimal cutting system length, and machining envelope, thereby further developing an algorithm to determine the feasible workpiece setup parameters accurately. The algorithm’s application has been demonstrated using an example. Finally, the algorithm is validated for feasible workpiece setup parameters in a virtual environment. This research is highly applicable in the industry to eliminate the number of iterations performed for the suitable workpiece setup parameters.

Keywords: workpiece setup parameter     five-axis     space utilization     setup parameters     machine tool    

Title Author Date Type Operation

Energy field-assisted high-speed dry milling green machining technology for difficult-to-machine metal

Journal Article

Fiber-reinforced composites in milling and grinding: machining bottlenecks and advanced strategies

Journal Article

Cutting Force Model for a Small-diameter Helical Milling Cutter

LI Xiwen, YANG Shuzi, YANG Mingjin, XIE Shouyong

Journal Article

Position-varying surface roughness prediction method considering compensated acceleration in milling

Journal Article

Mechanical behavior and semiempirical force model of aerospace aluminum alloy milling using nano biological

Journal Article

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of

Journal Article

Ball milling promoted direct liquefaction of lignocellulosic biomass in supercritical ethanol

Chunyan Yang, Xiaoliang Yuan, Xueting Wang, Kejing Wu, Yingying Liu, Changjun Liu, Houfang Lu, Bin Liang

Journal Article

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Coupling evaluation for material removal and thermal control on precision milling machine tools

Journal Article

3D finite element prediction of chip flow, burr formation, and cutting forces in micro end-milling of

A. DAVOUDINEJAD, P. PARENTI, M. ANNONI

Journal Article

Experimental study of surface integrity and fatigue life in the face milling of Inconel 718

Xiangyu WANG, Chuanzhen HUANG, Bin ZOU, Guoliang LIU, Hongtao ZHU, Jun WANG

Journal Article

Mesoscale fabrication of a complex surface for integral impeller blades

Xibin WANG,Tianfeng ZHOU,Lijing XIE,Li JIAO,Zhibing LIU,Zhiqiang LIANG,Pei YAN

Journal Article

Erratum to: One-step ball milling-prepared nano Fe

Xingguo Guo, Qiuying Wang, Ting Xu, Kajia Wei, Mengxi Yin, Peng Liang, Xia Huang, Xiaoyuan Zhang

Journal Article

Development of meso-scale milling machine tool and its performance analysis

LI Hongtao, LAI Xinmin, LI Chengfeng, LIN Zhongqin, MIAO Jiancheng, NI Jun

Journal Article

Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-axis milling

Aqeel AHMED, Muhammad WASIF, Anis FATIMA, Liming WANG, Syed Amir IQBAL

Journal Article