Search scope:
排序: Display mode:
Research on the Development of Machine Tool Industry in China
Wang Lei, Lu Bingheng
Strategic Study of CAE 2020, Volume 22, Issue 2, Pages 29-37 doi: 10.15302/J-SSCAE-2020.02.005
This study focuses on the development of the high-end manufacturing equipmentdrilling machines, boring machines, grinders, and gear making machines, but also additive manufacturing equipmentand additive-subtractive hybrid manufacturing equipment.development of common technologies of the advanced additive manufacturing and hybrid manufacturing equipmentstrengthening the common technology collaborative innovation system for the high-end manufacturing equipment
Keywords: machine tool industrial development key direction high-end manufacturing numerical control equipment
Structure optimization for magnetic equipment of permanent magnet retarder
Bingfeng JIAO, Desheng LI, Yunkang SUI, Lezhi YE
Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 442-445 doi: 10.1007/s11465-010-0112-z
Keywords: optimization ANSYS permanent magnet retarder numerical simulation
Inverse kinematics analysis and numerical control experiment for PRS-XY style hybrid machining tool
JIA Dongyong, ZHANG Jianmin, SUN Hongchang, NIU Zhigang
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2, Pages 235-238 doi: 10.1007/s11465-007-0041-7
Keywords: numerical accordance transform formula virtual slider-
Stable expression and control parameters in the numerical simulation of unsaturated flow
Zhiyuan ZHANG; Xu LI; Yongkang WU; Xiaokang LI
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12, Pages 1501-1514 doi: 10.1007/s11709-022-0893-2
Keywords: Richards’ equation sensitivity analysis unsaturated soil hydraulic diffusivity seepage simulation
New method for computer numerical control machine tool calibration: Relay method
LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3, Pages 301-304 doi: 10.1007/s11465-007-0053-3
Keywords: positional volumetric information process repeatability
A novel approach to minimizing material loss for computer numerical control flank-regrinding of worn
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0757-z
Keywords: flank-regrinding worn end mill wheel position and orientation material loss over-cut
Liansuo AN , Zhi WANG , Zhonghe HAN ,
Frontiers in Energy 2009, Volume 3, Issue 3, Pages 254-261 doi: 10.1007/s11708-009-0047-4
Keywords: wet steam two-phase flow spontaneous condensation numerical simulation flow separation profile loss
Noise control technology for generator sets in enclosures
ZHANG Nailong, YANG Wentong, FEI Renyuan
Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4, Pages 377-384 doi: 10.1007/s11465-008-0051-0
Keywords: equipment generator sound-attenuated enclosure convenient Enclosure development
WU Yi-jie, LENG Hong-bin
Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1, Pages 71-75 doi: 10.1007/s11465-005-0005-8
Keywords: manufacture multicoordinate characteristic polygonal noncircular mechanistic transmission
Research on the Fault Self-recovery Principle of Equipment System
Gao Jinji
Strategic Study of CAE 2005, Volume 7, Issue 5, Pages 43-48
Can mechanical faults be controlled and eliminated at machine's run-time? Can a machine heal itself, as a living person or animal? What can be done before shutting down and overhauling a machine? Under the guidance of the systemics theory,borrowing the idea of “self-recuperation” therapeutic methdology in modern medicinal science, e.g.,the knowledge about the mechanisms of immunity, protection, compensation, regeneration, adaptation, etc., with the fault prevention and self-healing as the goal, this paper focuses on the study of the fault self-recovery principle and its engineering application, i.e. Fault Self-recovery Engineering (FSE), which can provide theoretical basis in developing a new generation of self-healing machine.
Keywords: equipment system principle of fault self-recovery fault self-recovery regulation diagnosis active control
An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment Article
Tianyou Chai, Mingyu Li, Zheng Zhou, Siyu Cheng, Yao Jia, Zhiwei Wu
Engineering 2023, Volume 27, Issue 8, Pages 84-95 doi: 10.1016/j.eng.2023.05.018
Based on an analysis of the operational control behavior of operation experts on energy-intensiveequipment, this paper proposes an intelligent control method for low-carbon operation by combining mechanismwith control.This method, which consists of setpoint control, self-optimized tuning, and tracking control, ensuresAn intelligent control system for low-carbon operation is developed by adopting the end–edge&ndash
Keywords: Energy-intensive equipment Low-carbon operation Intelligent control End&ndash edge&ndash cloud collaboration
Huang Can, Bu Yizhi, Zhang Qinghua
Strategic Study of CAE 2009, Volume 11, Issue 1, Pages 87-91
Keywords: cable-stayed bridge geometry control geometrical nonlinear numerical verification
Fuzzy iterative learning control and numerical simulation of tall building seismic response control
Wang Quan,Wang Jianguo,Zhang Mingxiang
Strategic Study of CAE 2011, Volume 13, Issue 4, Pages 81-86
With research into the fundamental ideas of self tuning control, fuzzylogic and iterative learning control (ILC), this paper provides a new type of fuzzy iterative learningcontrol strategy to reduce the seismic response of tall building.It improves the robustness of the iterative learning control.The result of simulation shows that fuzzy iterative learning control strategy can control the seismic
Keywords: tall building seismic response iterative learning control fuzzy control
Intelligent Products and Equipment Led by New-Generation Artificial Intelligence
Tan Jianrong, Liu Zhenyu, Xu Jinghua
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 35-43 doi: 10.15302/J-SSCAE-2018.04.007
Intelligent products and equipment is the value carrier, technologicalThe intelligent products and equipment refers to two dialectical aspects: on the one hand, commercialization, cloud computing, edge computing, machine learning, deep learning, security monitoring, automation controlsensing technology, and GPS positioning technology; On the other hand, the intelligent products and equipmentfields of intelligent products and equipment are formulated.
Keywords: intelligent products and equipment knowledge engineering intelligent state sensing intelligent variationadaptation intelligent knowledge learning intelligent control decision
Web-based construction equipment fleet management system: cost-effective global and local allocation
Hakob AVETISYAN, Miroslaw SKIBNIEWSKI
Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 76-83 doi: 10.15302/J-FEM-2017012
Keywords: Construction equipment Equipment assignment optimization Web-based asset management
Title Author Date Type Operation
Structure optimization for magnetic equipment of permanent magnet retarder
Bingfeng JIAO, Desheng LI, Yunkang SUI, Lezhi YE
Journal Article
Inverse kinematics analysis and numerical control experiment for PRS-XY style hybrid machining tool
JIA Dongyong, ZHANG Jianmin, SUN Hongchang, NIU Zhigang
Journal Article
Stable expression and control parameters in the numerical simulation of unsaturated flow
Zhiyuan ZHANG; Xu LI; Yongkang WU; Xiaokang LI
Journal Article
New method for computer numerical control machine tool calibration: Relay method
LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen
Journal Article
A novel approach to minimizing material loss for computer numerical control flank-regrinding of worn
Journal Article
Numerical study and control method of interaction of nucleation and boundary layer separation in condensing
Liansuo AN , Zhi WANG , Zhonghe HAN ,
Journal Article
Noise control technology for generator sets in enclosures
ZHANG Nailong, YANG Wentong, FEI Renyuan
Journal Article
Design Method and Numerical Control Machining Principle for an Arbitrary n-polygon Noncircular Section
WU Yi-jie, LENG Hong-bin
Journal Article
An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment
Tianyou Chai, Mingyu Li, Zheng Zhou, Siyu Cheng, Yao Jia, Zhiwei Wu
Journal Article
Numerical verification of geometry control theory of the construction for super-span cable-stayed bridge
Huang Can, Bu Yizhi, Zhang Qinghua
Journal Article
Fuzzy iterative learning control and numerical simulation of tall building seismic response control
Wang Quan,Wang Jianguo,Zhang Mingxiang
Journal Article
Intelligent Products and Equipment Led by New-Generation Artificial Intelligence
Tan Jianrong, Liu Zhenyu, Xu Jinghua
Journal Article