Prediction Optimization Parameters Influencing by Muralidaran Manivel (8 results)
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Taschenbuch. Condition: Neu. Prediction and Optimization of Parameters Influencing Cold Cracks | Prediction and Optimization of Parameters influencing Cold crack using ANN and Grey Relational Analysis | V. Manivel Muralidaran (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203857252 | Verantwo…rtliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by LAP LAMBERT Academic Publishing Mai 2021, 2021
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook describes the content of optimizing and predicting the parameters that influence the cold crack formation in the High Strength Low Alloy Steel 950A. High strength low alloy steel (HSLA) has been in use in workshops sin…ce the 1980s. Cold cracking is a common problem associated with welding of HSLA steels. It is thus becoming mandatory to have a novel method of welding to minimize the effects of cold cracking in such steels. The objective of the thesis is to improve the cold cracking resistance of HSLA 950A using the process gas Metal Arc Welding (GMAW). The parameters influencing the cold cracking of HSLA steel are preheating temperature oxide particles content and heat input. These parameters are optimized to achieve high resistance to cold cracking technique using Taguchi and Response surface methodology. The response in this study is taken impact strength. For effectively predict the response using the given input parameters, Artificial Neural Networks (ANN) is used. A three-layer feed-forward back propagation algorithm is used in Ann. Gray Relation Analysis (GRA) technique has been used to perform multi objective optimization. 116 pp. Englisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This textbook describes the content of optimizing and predicting the parameters that influence the cold crack formation in the High Strength Low Alloy Steel 950A. High strength low alloy steel (HSLA) has been in use in workshops since th…e 1980s. Cold cracking is a common problem associated with welding of HSLA steels. It is thus becoming mandatory to have a novel method of welding to minimize the effects of cold cracking in such steels. The objective of the thesis is to improve the cold cracking resistance of HSLA 950A using the process gas Metal Arc Welding (GMAW). The parameters influencing the cold cracking of HSLA steel are preheating temperature oxide particles content and heat input. These parameters are optimized to achieve high resistance to cold cracking technique using Taguchi and Response surface methodology. The response in this study is taken impact strength. For effectively predict the response using the given input parameters, Artificial Neural Networks (ANN) is used. A three-layer feed-forward back propagation algorithm is used in Ann. Gray Relation Analysis (GRA) technique has been used to perform multi objective optimization.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Muralidaran V. ManivelDr. V. Manivelmuralidaran completed a Ph.D from Anna University, Chennai, Tamilnadu, India in the field of manufacturing under the guidance of Dr.K. Senthilkumar in February 2020.…He is working as an Assistant P.
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2021, 2021
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook describes the content of optimizing and predicting the parameters that influence the cold crack formation in the High Strength Low Alloy Steel 950A. High strength low alloy steel (HSLA) has been in use in workshops since t…he 1980s. Cold cracking is a common problem associated with welding of HSLA steels. It is thus becoming mandatory to have a novel method of welding to minimize the effects of cold cracking in such steels. The objective of the thesis is to improve the cold cracking resistance of HSLA 950A using the process gas Metal Arc Welding (GMAW). The parameters influencing the cold cracking of HSLA steel are preheating temperature oxide particles content and heat input. These parameters are optimized to achieve high resistance to cold cracking technique using Taguchi and Response surface methodology. The response in this study is taken impact strength. For effectively predict the response using the given input parameters, Artificial Neural Networks (ANN) is used. A three-layer feed-forward back propagation algorithm is used in Ann. Gray Relation Analysis (GRA) technique has been used to perform multi objective optimization.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.
