Muralidaran v manivel (8 risultati)

- Brossura
Da: Books Puddle, New York, NY, U.S.A.Books Puddle
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 69,95
EUR 3,44 spedizioneSpedito in U.S.A.Quantità: 4 disponibili
Condizione: New.

- Brossura
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 47,95
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: 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 | Verantw…ortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 69,43
EUR 7,56 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 4 disponibili
Condizione: New. Print on Demand.

- Brossura
- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,90
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: 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 si…nce 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.

- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 71,79
EUR 9,95 spedizioneSpedito da Germania a U.S.A.Quantità: 4 disponibili
Condizione: New. PRINT ON DEMAND.

- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 56,58
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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 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.

- Brossura
- Print on Demand
Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 45,45
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: 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.

- Brossura
- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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…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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.