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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-walledcomponent—squares, slots, and holes—into various categories based on their dimensional errors (i.e., “high precisionBased 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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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: In pursuit of energy-efficient, high-precision machining, more attention should be paid to the energyExperimental study indicates that TC is the main energy-consuming process of the precision milling machineIt can provide a foundation for energy-efficient, high-precision machining of machine tools.

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

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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.processing technology can improve the machinability of such metallic materials and achieve efficient precisionIn this review, the characteristics and limitations of high-speed dry milling of difficult-to-machine

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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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, giving researchers opportunity to deepen specific aspects and explore new area for achieving high precision

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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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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Do not let precision medicine be kidnapped

Zhiping Yang

Frontiers of Medicine 2015, Volume 9, Issue 4,   Pages 512-513 doi: 10.1007/s11684-015-0425-8

Abstract:

Obama’s precision medicine initiative made the medical community boil over after the initiativePrecision medicine has been advocated by the majority of scientists and doctors.This article does not oppose precision medicine.However, the incentive of vigorously promoting precision medicine at present is a concern.

Keywords： precision medicine     personalized medicine     genomics    

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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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Review on the progress of ultra-precision machining technologies

Julong YUAN, Binghai LYU, Wei HANG, Qianfa DENG

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 2,   Pages 158-180 doi: 10.1007/s11465-017-0455-9

Abstract:

Ultra-precision machining technologies are the essential methods, to obtain the highest form accuracyThe conception, applications and history of ultra-precision machining are introduced in this article,and the developments of ultra-precision machining technologies, especially ultra-precision grinding,ultra-precision cutting and polishing are also reviewed.

Keywords： ultra-precision grinding     ultra-precision cutting     ultra-precision polishing     research status in China     development    

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Self-generation of machining precision and its realization in lapping of super precision solid balls

ZHANG Bopeng

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 348-353 doi: 10.1007/s11465-008-0065-7

Abstract: This paper presents the principle of self-generation of machining precision by explaining its basic conceptThe self-generation of machining precision for solid balls with super precision is emphatically explainedNecessary conditions for achieving self-generation of machining precision are given.Establishment of the system for machining solid balls with super precision is discussed.Self-generation of machining precision for solid balls with super precision on the basis of the capability

Keywords： self-generation     necessary     self-regulation capability     viewpoint     Necessary    

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Human pangenome: far-reaching implications in precision medicine

Frontiers of Medicine doi: 10.1007/s11684-023-1039-1

Abstract: Human pangenome: far-reaching implications in precision medicine
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Highlights in precision agriculture

Chunjiang ZHAO, Minzan LI

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 391-392 doi: 10.15302/J-FASE-2018246

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Title Author Date Type Operation

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

Journal Article

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

Journal Article

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

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

Do not let precision medicine be kidnapped

Zhiping Yang

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

Review on the progress of ultra-precision machining technologies

Julong YUAN, Binghai LYU, Wei HANG, Qianfa DENG

Journal Article

Self-generation of machining precision and its realization in lapping of super precision solid balls

ZHANG Bopeng

Journal Article

Human pangenome: far-reaching implications in precision medicine

Journal Article

Highlights in precision agriculture

Chunjiang ZHAO, Minzan LI

Journal Article