期刊文献+
共找到4篇文章
< 1 >
每页显示 20 50 100
Hot Deformation Behavior of 2124 Al Alloy 被引量:9
1
作者 S.Ramanathan R.Karthikeyan +1 位作者 V.Deepak Kumar g.ganesan 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2006年第5期611-615,共5页
The mechanical behavior of 2124 Al alloy produced by powder metallurgy was investigated with compression test at different temperatures and strain rates. The tests were performed in the temperature range of 300℃~500... The mechanical behavior of 2124 Al alloy produced by powder metallurgy was investigated with compression test at different temperatures and strain rates. The tests were performed in the temperature range of 300℃~500℃ and at strain rates from 0.001 s^-1 to 1.0 s^-1. The compression flow curves exhibited an initial sharp increase with strain, followed by monotonous hardening. The maximum stress decreased with decreasing strain rate and increasing temperature. The hot deformation characteristics of the material were studied using processing maps. The domain of safety and unsafe regime were identified and validated through microstructural examination. 展开更多
关键词 Flow stress Power dissipation efficiency Flow instability Flow localization Processing map
下载PDF
Heat treatment optimization for tensile properties of 8011 Al/15% SiCp metal matrix composite using response surface methodology 被引量:7
2
作者 V.VEMBU g.ganesan 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2015年第4期390-395,共6页
In this study,a mathematical model was developed to optimize the heat treatment process for maximum tensile strength and ductility of aluminum(8011) silicon carbide particulate composites.The process parameters are so... In this study,a mathematical model was developed to optimize the heat treatment process for maximum tensile strength and ductility of aluminum(8011) silicon carbide particulate composites.The process parameters are solutionizing time,aging temperature,and aging time.The experiments were performed on an universal testing machine according to centre rotatable design matrix.A mathematical model was developed with the main and interactive effects of the parameters considered.The analysis of variance technique was used to check the adequacy of the developed model.The optimum parameters were obtained for maximum tensile strength.Fractographic examination shows the cracks and dimples on the fractured surfaces of heat-treated specimen. 展开更多
关键词 热处理工艺优化 颗粒复合材料 响应曲面法 拉伸性能 金属基体 万能试验机 开发模型
下载PDF
Influence of variables in deep drawing of AA 6061 sheet 被引量:8
3
作者 S.RAJU g.ganesan R.KARTHIKEYAN 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2010年第10期1856-1862,共7页
Deep drawing is one of the most important processes for forming sheet metal parts.It is widely used for mass production of cup shapes in automobile,aerospace and packaging industries.Cup drawing,besides its importance... Deep drawing is one of the most important processes for forming sheet metal parts.It is widely used for mass production of cup shapes in automobile,aerospace and packaging industries.Cup drawing,besides its importance as forming process,also serves as a basic test for the sheet metal formability.The effect of equipment and tooling parameters results in complex deformation mechanism.Existence of thickness variation in the formed part may cause stress concentration and may lead to acceleration of damage.Using TAGUCHI's signal-to-noise ratio,it is determined that the die shoulder radius has major influence followed by blank holder force and punch nose radius on the thickness distribution of the deep drawn cup of AA 6061 sheet.The optimum levels of the above three factors,for the most even wall thickness distribution,are found to be punch nose radius of 3 mm,die shoulder radius of 8 mm and blank holder force of 4 kN. 展开更多
关键词 deep drawing aluminium alloy thickness distribution signal to noise ratio
下载PDF
Parametric optimization of electrochemical machining of Al/15% SiC_p composites using NSGA-Ⅱ 被引量:2
4
作者 C.SENTHILKUMAR g.ganesan R.KARTHIKEYAN 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2011年第10期2294-2300,共7页
Electrochemical machining(ECM) is one of the important non-traditional machining processes,which is used for machining of difficult-to-machine materials and intricate profiles.Being a complex process,it is very diff... Electrochemical machining(ECM) is one of the important non-traditional machining processes,which is used for machining of difficult-to-machine materials and intricate profiles.Being a complex process,it is very difficult to determine optimal parameters for improving cutting performance.Metal removal rate and surface roughness are the most important output parameters,which decide the cutting performance.There is no single optimal combination of cutting parameters,as their influences on the metal removal rate and the surface roughness are quite opposite.A multiple regression model was used to represent relationship between input and output variables and a multi-objective optimization method based on a non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) was used to optimize ECM process.A non-dominated solution set was obtained. 展开更多
关键词 electrochemical machining metal removal rate surface roughness non-dominated sorting genetic algorithm(NSGA-Ⅱ)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部