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检索条件"作者=P.Sathiya"
24 条 记 录,以下是1-10 订阅
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A Comparative Study of Artificial Neural Network and Response Surface Methodology for Optimization of Friction Welding of Incoloy 800 H
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Acta Metallurgica Sinica(English Letters) 2015年 第7期28卷 892-902页
作者: K.Anand Rishabh Shrivastava K.Tamilmannan p.sathiya School of Engineering and Technology Indira Gandhi National Open University Department of production Engineering National Institute of Technology
This article deals with the optimization of process parameters for friction welding of Incoloy 800 H rod and compares the results obtained by response surface methodology(RSM) and artificial neural network(ANN).Th... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Transient out-of-plane distortion of multi-pass fillet welded tube to pipe T-joints
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Defence Technology(防务技术) 2017年 第2期13卷 77-85页
作者: R.Vetriselvan K.Devakumaran p.sathiya G.Ravichandran Welding Research Institute Tiruchirappalli 620014 India National Institute of Technology Tiruchirappalli 620015 India
The out-of-plane distortion induced in a multi-pass circumferential fillet welding of tube to pipe under different weld sequences and directions was studied using Finite Element Method(FEM) based Sysweld software and ... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Multi-objective Optimization of Continuous Drive Friction Welding process parameters Using Response Surface Methodology with Intelligent Optimization Algorithm
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Journal of Iron and Steel Research International 2015年 第10期22卷 954-960页
作者: p.M.AJITH T.M.AFSAL HUSAIN p.sathiya S.ARAVINDAN Department of production Engineering National Institute of Technology Department of Mechanical Engineering Indian Institute of Technology Delhi
The optimum friction welding (FW) parameters of duplex stainless steel (DSS) UNS $32205 joint was determined. The experiment was carried out as the central composite array of 30 experiments. The selected input par... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Comparative study on transverse shrinkage, mechanical and metallurgical properties of AA2219 aluminium weld joints prepared by gas tungsten arc and gas metal arc welding processes
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Defence Technology(防务技术) 2015年 第3期11卷 262-268页
作者: S.ARUNKUMAR p.RANGARAJAN K.DEVAKUMARAN p.sathiya Department of production Engineering National Institute of Technology Welding Research Institute BHEL
Aluminium alloy AA2219 is a high strength alloy belonging to 2000 series. It has been widely used for aerospace applications, especially for construction of cryogenic fuel tank. However, arc welding of AA2219 material... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Multiobjective optimization of friction welding of UNS S32205 duplex stainless steel
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Defence Technology(防务技术) 2015年 第2期11卷 157-165页
作者: p.M.AJITH Birendra Kumar BARIK p.sathiya S.ARAVINDAN Department of production Engineering National Institute of Technology Department of Mechanical Engineering Indian Institute of Technology Delhi
The present study is to optimize the process parameters for friction welding of duplex stainless steel(DSS UNS S32205).Experiments were conducted according to central composite *** variables,as inputs of the neural ne... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
An Efficient Modelling of Oversampling with Optimal Deep Learning Enabled Anomaly Detection in Streaming Data
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China Communications 2024年 第5期21卷 249-260页
作者: R.Rajakumar S.sathiya Devi Srinivasa Ramanujan Centre SASTRA Deemed UniversityKumbakonamTamil Nadu 612001India University College of Engineering BIT CampusAnna UniversityTiruchirappalli 620024India
Recently,anomaly detection(AD)in streaming data gained significant attention among research communities due to its applicability in finance,business,healthcare,education,*** recent developments of deep learning(DL)mod... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Experimental Investigation on Friction Welding of UNS S32205 Duplex Stainless Steel
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Acta Metallurgica Sinica(English Letters) 2014年 第6期27卷 995-1007页
作者: p. M. Ajith p. sathiya S. Aravindan Department of production Engineering National Institute of Technology Department of Mechanical Engineering Indian Institute of Technology Delhi
UNS S 32205 duplex stainless steel specimens were joined by continuous drive friction welding process. The experiments were conducted as per the Taguchi(L16 orthogonal array) method. The friction welding process par... 详细信息
来源: 维普期刊数据库 维普期刊数据库 同方期刊数据库 同方期刊数据库 评论
Optimization of process parameters of friction welding of UNS S31803 duplex stainless steels joints
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Advances in Manufacturing 2016年 第1期4卷 55-65页
作者: M. Mohammed Asif Kuikarni Anup Shrikrishna p. sathiya Department of production Engineering National Institute ofTechnology Tiruchirappalli 620015 Tamil Nadu India
This article presents an approach based on Taguchi method and Grey relational analysis to optimize process parameters of friction welding of UNS31803 duplex stainless steel. The main objective is to maximize mechanica... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Convolution-Based Heterogeneous Activation Facility for Effective Machine Learning of ECG Signals
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Computers, Materials & Continua 2023年 第10期77卷 25-45页
作者: premanand.S sathiya Narayanan School of Electronics Engineering Vellore Institute of TechnologyChennai600127Indi
Machine Learning(ML)and Deep Learning(DL)technologies are revolutionizing the medical domain,especially with Electrocardiogram(ECG),by providing new tools and techniques for diagnosing,treating,and preventing ***,DL a... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论
Characterization of microstructure, toughness, and chemical composition of friction-welded joints of UNS S32205 duplex stainless steel
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Friction 2014年 第1期2卷 82-91页
作者: puthuparambil Madhavan AJITH paulraj sathiya Sivanandam ARAVINDAN Department of production Engineering National Institute of Technology Tiruchirappalli-620015TamilnaduIndia Department of Mechanical Engineering Indian Institute of Technology Delhi New Delhi-110016India
Friction welding is a solid-state joining process which is applied extensively because of its advantages such as low heat input,efficient application,ease in manufacturing,and environmental *** present study investiga... 详细信息
来源: 维普期刊数据库 维普期刊数据库 评论