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Review on mechanism and process of surface polishing using lasers
Arun KRISHNAN, Fengzhou FANG
《机械工程前沿(英文)》 2019年 第14卷 第3期 页码 299-319 doi: 10.1007/s11465-019-0535-0
关键词: laser polishing surface roughness process parameters mechanism
Optimization of process parameters for preparation of powdered activated coke to achieve maximum SO
Binxuan ZHOU, Tao WANG, Tianming XU, Cheng LI, Yuan ZHAO, Jiapeng FU, Zhen ZHANG, Zhanlong SONG, Chunyuan MA
《能源前沿(英文)》 2021年 第15卷 第1期 页码 159-169 doi: 10.1007/s11708-020-0719-7
关键词: powdered activated coke (PAC) SO2 adsorption capacity parameters optimization response surface methodology
Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation
Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU
《环境科学与工程前沿(英文)》 2012年 第6卷 第6期 页码 892-900 doi: 10.1007/s11783-012-0440-9
关键词: magnesium ammonium phosphate precipitation mature landfill leachate optimization ammonium-nitrogen
Intelligent methods for the process parameter determination of plastic injection molding
Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI
《机械工程前沿(英文)》 2018年 第13卷 第1期 页码 85-95 doi: 10.1007/s11465-018-0491-0
Injection molding is one of the most widely used material processing methods in producing plastic products with complex geometries and high precision. The determination of process parameters is important in obtaining qualified products and maintaining product quality. This article reviews the recent studies and developments of the intelligent methods applied in the process parameter determination of injection molding. These intelligent methods are classified into three categories: Case-based reasoning methods, expert system-based methods, and data fitting and optimization methods. A framework of process parameter determination is proposed after comprehensive discussions. Finally, the conclusions and future research topics are discussed.
关键词: injection molding intelligent methods process parameters optimization
Effects of process parameters on surface roughness in abrasive waterjet cutting of aluminium
M. CHITHIRAI PON SELVAN, N. MOHANA SUNDARA RAJU, H. K. SACHIDANANDA
《机械工程前沿(英文)》 2012年 第7卷 第4期 页码 439-444 doi: 10.1007/s11465-012-0337-0
Abrasive waterjet cutting is a novel machining process capable of processing wide range of hard-to-cut materials. Surface roughness of machined parts is one of the major machining characteristics that play an important role in determining the quality of engineering components. This paper shows the influence of process parameters on surface roughness (Ra) which is an important cutting performance measure in abrasive waterjet cutting of aluminium. Taguchi’s design of experiments was carried out in order to collect surface roughness values. Experiments were conducted in varying water pressure, nozzle traverse speed, abrasive mass flow rate and standoff distance for cutting aluminium using abrasive waterjet cutting process. The effects of these parameters on surface roughness have been studied based on the experimental results.
关键词: abrasive waterjet aluminium garnet water pressure mass flow rate traverse speed standoff distance
Omotoyosi H. FAMODIMU, Mark STANFORD, Chike F. ODUOZA, Lijuan ZHANG
《机械工程前沿(英文)》 2018年 第13卷 第4期 页码 520-527 doi: 10.1007/s11465-018-0521-y
Laser melting of aluminium alloy—AlSi10Mg has increasingly been used to create specialised products in various industrial applications, however, research on utilising laser melting of aluminium matrix composites in replacing specialised parts have been slow on the uptake. This has been attributed to the complexity of the laser melting process, metal/ceramic feedstock for the process and the reaction of the feedstock material to the laser. Thus, an understanding of the process, material microstructure and mechanical properties is important for its adoption as a manufacturing route of aluminium metal matrix composites. The effects of several parameters of the laser melting process on the mechanical blended composite were thus investigated in this research. This included single track formations of the matrix alloy and the composite alloyed with 5% and 10% respectively for their reaction to laser melting and the fabrication of density blocks to investigate the relative density and porosity over different scan speeds. The results from these experiments were utilised in determining a process window in fabricating near-fully dense parts.
关键词: selective laser melting additive manufacturing mechanical alloying powder metallurgy aluminium metal matrix composite
Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH
《机械工程前沿(英文)》 2013年 第8卷 第3期 页码 319-332 doi: 10.1007/s11465-013-0269-3
The effective study of hybrid machining processes (HMPs), in terms of modeling and optimization has always been a challenge to the researchers. The combined approach of Artificial Neural Network (ANN) and Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) has attracted attention of researchers for modeling and optimization of the complex machining processes. In this paper, a hybrid machining process of Electrical Discharge Face Grinding (EDFG) and Diamond Face Grinding (DFG) named as Electrical Discharge Diamond face Grinding (EDDFG) have been studied using a hybrid methodology of ANN-NSGA-II. In this study, ANN has been used for modeling while NSGA-II is used to optimize the control parameters of the EDDFG process. For observations of input-output relations, the experiments were conducted on a self developed face grinding setup, which is attached with the ram of EDM machine. During experimentation, the wheel speed, pulse current, pulse on-time and duty factor are taken as input parameters while output parameters are material removal rate (MRR) and average surface roughness (Ra). The results have shown that the developed ANN model is capable to predict the output responses within the acceptable limit for a given set of input parameters. It has also been found that hybrid approach of ANN-NSGA-II gives a set of optimal solutions for getting appropriate value of outputs with multiple objectives.
关键词: hybrid machining processes (HMPs) electrical discharge diamond grinding (EDDG) artificial neural network (ANN) genetic algorithm modeling and optimization
城市富水砂卵石地层大断面泥水盾构工艺参数变化对施工成本的影响
王颖
《中国工程科学》 2010年 第12卷 第12期 页码 108-112
以北京铁路地下直径线盾构隧道施工为例,介绍了不同工程地质及施工边界条件变化时的工艺参数选择原则,并通过对工艺参数调整时的施工效率、机具材料消耗统计,分析了成本的差异及变化。
Inverse identification of the mechanical parameters of a pipeline hoop and analysis of the effect of
Ye GAO, Wei SUN
《机械工程前沿(英文)》 2019年 第14卷 第3期 页码 358-368 doi: 10.1007/s11465-019-0539-9
关键词: inverse identification pipeline hoop frequency response function mechanical parameters preload
Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using
《环境科学与工程前沿(英文)》 2022年 第16卷 第4期 doi: 10.1007/s11783-021-1478-3
The Large scale Urban Consumption of energ Y model was updated and coupled with WRF.
关键词: Anthropogenic heat emissions LUCY High-resolution Meteorological parameters Air quality
Effect of thermodynamic parameters on the performance of refrigerator-ejector
Lihong CAO, Yicai LIU, Chao WAN, Tianlong XIN, Qian HUANG, Mingyan ZHANG
《能源前沿(英文)》 2010年 第4卷 第4期 页码 517-521 doi: 10.1007/s11708-010-0004-2
关键词: refrigerator-ejector FLUENT thermodynamic parameters entrainment ratio performance
Effects of critical geometric parameters on the optical performance of a conical cavity receiver
Hu XIAO, Yanping ZHANG, Cong YOU, Chongzhe ZOU, Quentin FALCOZ
《能源前沿(英文)》 2019年 第13卷 第4期 页码 673-683 doi: 10.1007/s11708-019-0630-2
关键词: parabolic collector conical cavity receiver critical geometric parameters optical performance
Effect of preparation parameters on catalytic properties of Pt/graphite
LIU Zhengqian, MA Jun, ZHAO Lei
《环境科学与工程前沿(英文)》 2007年 第1卷 第4期 页码 482-487 doi: 10.1007/s11783-007-0077-2
An energy consumption prediction approach of die casting machines driven by product parameters
《机械工程前沿(英文)》 2021年 第16卷 第4期 页码 868-886 doi: 10.1007/s11465-021-0656-0
关键词: die casting machine energy consumption prediction product parameters
The influence of manufacturing parameters and adding support layer on the properties of Zirfon
Li XU,Yue YU,Wei LI,Yan YOU,Wei XU,Shaoxing ZHANG
《化学科学与工程前沿(英文)》 2014年 第8卷 第3期 页码 295-305 doi: 10.1007/s11705-014-1433-y
关键词: separator alkaline water electrolysis manufacturing parameters support layer
标题 作者 时间 类型 操作
Optimization of process parameters for preparation of powdered activated coke to achieve maximum SO
Binxuan ZHOU, Tao WANG, Tianming XU, Cheng LI, Yuan ZHAO, Jiapeng FU, Zhen ZHANG, Zhanlong SONG, Chunyuan MA
期刊论文
Optimization of process parameters for mature landfill leachate pretreatment using MAP precipitation
Wei LI, Xiaowen DING, Min LIU, Yuewen GUO, Lei LIU
期刊论文
Intelligent methods for the process parameter determination of plastic injection molding
Huang GAO, Yun ZHANG, Xundao ZHOU, Dequn LI
期刊论文
Effects of process parameters on surface roughness in abrasive waterjet cutting of aluminium
M. CHITHIRAI PON SELVAN, N. MOHANA SUNDARA RAJU, H. K. SACHIDANANDA
期刊论文
Effect of process parameters on the density and porosity of laser melted AlSi10Mg/SiC metal matrix composite
Omotoyosi H. FAMODIMU, Mark STANFORD, Chike F. ODUOZA, Lijuan ZHANG
期刊论文
Multi-objective optimization of process parameters in Electro-Discharge Diamond Face Grinding based on
Ravindra Nath YADAV, Vinod YADAVA, G.K. SINGH
期刊论文
Inverse identification of the mechanical parameters of a pipeline hoop and analysis of the effect of
Ye GAO, Wei SUN
期刊论文
Impact of anthropogenic heat emissions on meteorological parameters and air quality in Beijing using
期刊论文
Effect of thermodynamic parameters on the performance of refrigerator-ejector
Lihong CAO, Yicai LIU, Chao WAN, Tianlong XIN, Qian HUANG, Mingyan ZHANG
期刊论文
Effects of critical geometric parameters on the optical performance of a conical cavity receiver
Hu XIAO, Yanping ZHANG, Cong YOU, Chongzhe ZOU, Quentin FALCOZ
期刊论文
Effect of preparation parameters on catalytic properties of Pt/graphite
LIU Zhengqian, MA Jun, ZHAO Lei
期刊论文