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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    

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Effect of Joule heating on electro-osmotic flow in a closed-end micro-channel with isothermal and convective

Liang ZHAO, Linhua LIU,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 381-388 doi: 10.1007/s11708-009-0057-2

Abstract: The effect of Joule heating on the steady state electro-osmotic flow in a closed-end micro-channel ispresence of Joule heating causes an increase in temperature and a decrease in viscosity in the whole micro-channelinduced pressure gradient is also studied, which is very important for the application of the closed-endmicro-channel as a micro-actuator.significantly smaller than that without considering Joule heating when the wall temperature of the micro-channel

Keywords： closed-end micro-channel     electrical double layer     electro-osmotic flow     induced pressure gradient     Joule    

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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 stiffnessFor the fabrication of a complex integral impeller, a micro-ball-end mill is designed in accordance with

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

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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    

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Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 211-227 doi: 10.1007/s11708-022-0847-3

Abstract: studies that realize topology identification and decision-making optimization in sequence, the proposed end-to-endIn particular, the generator in SCAN is trained by the core modules in sequence so as to form an end-to-end

Keywords： end-to-end learning     microgrids     voltage profile improvement     generative adversarial network    

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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    

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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    

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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    

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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    

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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    

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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    

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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    

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Efficient decoding self-attention for end-to-end speech synthesis Research Article

Wei ZHAO, Li XU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1127-1138 doi: 10.1631/FITEE.2100501

Abstract: has been innovatively applied to text-to-speech (TTS) because of its parallel structure and superior strength in modeling sequential data. However, when used in with an autoregressive decoding scheme, its inference speed becomes relatively low due to the quadratic complexity in sequence length. This problem becomes particularly severe on devices without graphics processing units (GPUs). To alleviate the dilemma, we propose an (EDSA) module as an alternative. Combined with a dynamic programming decoding procedure, TTS model inference can be effectively accelerated to have a linear computation complexity. We conduct studies on Mandarin and English datasets and find that our proposed model with EDSA can achieve 720% and 50% higher inference speed on the central processing unit (CPU) and GPU respectively, with almost the same performance. Thus, this method may make the deployment of such models easier when there are limited GPU resources. In addition, our model may perform better than the baseline Transformer TTS on out-of-domain utterances.

Keywords： Efficient decoding     End-to-end     Self-attention     Speech synthesis    

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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    

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Comparison on End-of-Life strategies of WEEE in China based on LCA

Bin Lu, Xiaolong Song, Jianxin Yang, Dong Yang

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 5, doi: 10.1007/s11783-017-0994-7

Abstract: It becomes an urgent issue to develop and adopt an effective End-of-Life (EoL) strategy for EEE in order

Keywords： End-of-Life     Waste electrical and electronic equipment     Life cycle assessment     Reuse    

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Title Author Date Type Operation

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

Effect of Joule heating on electro-osmotic flow in a closed-end micro-channel with isothermal and convective

Liang ZHAO, Linhua LIU,

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

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

Journal Article

Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated

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

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

Tao FU, Jibin ZHAO, Weijun LIU

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

Efficient decoding self-attention for end-to-end speech synthesis

Wei ZHAO, Li XU

Journal Article

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

Journal Article

Comparison on End-of-Life strategies of WEEE in China based on LCA

Bin Lu, Xiaolong Song, Jianxin Yang, Dong Yang

Journal Article