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Thermal Characteristics of the Main Spindle With Cooling System on the XK717 CNC Milling Machine

Wang Jinsheng,Hu Rufu,Wu Xiuhai

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 84-88

Abstract:

The main spindle system is a key part on the machine tools.The quality of thermal behavior influences the machining accuracy of machine tools directly.In this paper, thermal characteristics of spindle system on the XK717 CNC milling machine are analyzedThis research provides the theoretical fundamentals for optimization design of CNC milling machine.

Keywords： thermal characteristics     finite element     optimization design     CNC milling machine    

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NC flame pipe cutting machine tool based on open architecture CNC system

Xiaogen NIE, Yanbing LIU

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 147-152 doi: 10.1007/s11465-009-0025-x

Abstract: Based on the analysis of the principle and flame movement of a pipe cutting machine tool, a retrofitNC flame pipe cutting machine tool (NFPCM) that can meet the demands of cutting various pipes is proposedThe paper deals with the design and implementation of an open architecture CNC system for the NFPCM,many of whose aspects are similar to milling machines; however, different from their machining processes

Keywords： flame pipe cutting     flame incision tracks     CNC     open architecture CNC system    

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Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNCmachine tools

Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 442-451 doi: 10.1007/s11465-019-0543-0

Abstract: ) machine tools.machine tools.Compared with small- and medium-sized CNC machine tools, heavy-duty CNC machine tools require the useHowever, the presence of many TMPs counteracts the movement of CNC machine tools due to sensor cablesmachine tool.

Keywords： thermal error     heavy-duty CNC machine tools     FBG     key TMPs     prediction model    

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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: field-assisted machining technology has the potential to overcome the limitations of machining difficult-to-machinemeet 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-machine, the superiority of energy-field-assisted milling of difficult-to-machine metal materials is demonstratedproviding feasible ideas for realizing multi-energy field collaborative green machining 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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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: Machine tools are one of the most representative machining systems in manufacturing.The energy consumption of machine tools has been a research hotspot and frontier for green low-carbonExperimental 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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Rapid evaluation technology for CNC machine tool slide level based on built-in sensors

Yuqing ZHOU, Xuesong MEI, Gedong JIANG, Nuogang SUN,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1,   Pages 79-86 doi: 10.1007/s11465-009-0070-5

Abstract: Slide level impacts the CNC machine tool performance.deterioration of slide level will result in the torsional vibration of a feed-axis control system and lower the CNCmachine tool control precision.It is necessary to investigate the rapid evaluation technology for the slide level of a CNC machine toolIn this paper, a new type of rapid evaluation method for machine tool slide level is proposed, which

Keywords： slide level     built-in sensors     Stribeck effect     model identification    

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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 with a miniaturized machine tool.process 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    

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CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach Article

Jihong Chen, Jianzhong Yang, Huicheng Zhou, Hua Xiang, Zhihong Zhu, Yesong Li, Chen-Han Lee, Guangda Xu

Engineering 2015, Volume 1, Issue 2,   Pages 247-260 doi: 10.15302/J-ENG-2015054

Abstract:

Building cyber-physical system (CPS) models of machine tools is a key technology for intelligent manufacturingThe massive electronic data from a computer numerical control (CNC) system during the work processesof a CNC machine tool is the main source of the big data on which a CPS model is established.machine tool.machine tools.

Keywords： cyber-physical system (CPS)     big data     computer numerical control (CNC) machine tool     electronic data of    

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

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 usageof the machine tool, and the workpiece’s location.mathematical model has been developed to determine the workpiece’s feasible location in the five-axis machineIn this research, a generic arrangement of the five-axis machine tool has been selected.The machine tool envelopes have been determined using the post-processor and axial limit.

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

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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.their laminated, anisotropic, and heterogeneous nature, these materials are considered difficult-to-machinesummarizes 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-walledThe classification accuracy of the popular machine learning methods has been evaluated in comparisonBased on the experimental data collected during the milling experiments, the proposed model proved toclassification accuracy obtained using the proposed deep learning model was 9.55% higher than the best machine

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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Title Author Date Type Operation

Thermal Characteristics of the Main Spindle With Cooling System on the XK717 CNC Milling Machine

Wang Jinsheng,Hu Rufu,Wu Xiuhai

Journal Article

NC flame pipe cutting machine tool based on open architecture CNC system

Xiaogen NIE, Yanbing LIU

Journal Article

Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNCmachine tools

Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI

Journal Article

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

Journal Article

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

Journal Article

Rapid evaluation technology for CNC machine tool slide level based on built-in sensors

Yuqing ZHOU, Xuesong MEI, Gedong JIANG, Nuogang SUN,

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

CPS Modeling of CNC Machine Tool Work Processes Using an Instruction-Domain Based Approach

Jihong Chen, Jianzhong Yang, Huicheng Zhou, Hua Xiang, Zhihong Zhu, Yesong Li, Chen-Han Lee, Guangda Xu

Journal Article

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

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

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