Estimation of the Magnetic Abrasive Finishing System Using ANN Model
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| Preise | 2014 | 2015 | 2019 |
|---|---|---|---|
| Schnitt | Fr. 54.66 (€ 55.90)¹ | Fr. 54.66 (€ 55.90)¹ | Fr. 51.95 (€ 53.12)¹ |
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Symbolbild
Estimation of the Magnetic Abrasive Finishing System Using ANN Model (2014)
DE PB NW RPISBN: 9783659606496 bzw. 3659606499, in Deutsch, LAP Lambert Academic Publishing Okt 2014, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - Magnetic Abrasive Finishing (MAF) is one of the advanced finishing processes, which produces a high level of surface quality and is primarily controlled by a magnetic field. In this book, an attempt has been made to estimate and simulate the influence of the magnetic abrasive finishing (MAF) parameters on the Material Removal Rate (MRR) and surface roughness (Ra) of a solid shaft duraluminum (2024) workpiece with 6mm diameter using Artificial Neural Network (ANN) model. The relationship between the input parameters with MRR and Ra has been achieved by using the regression model. This work includes the classification of MAF system, manufacturing of MAF machine and the magnetic poles, and preparing of a ferromagnetic abrasive powder by mixing the iron oxide with industrial diamond powder. A series of experimental tests have been done to generate Input/output data sets that have been used in ANN. 136 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Titel. Neuware - Magnetic Abrasive Finishing (MAF) is one of the advanced finishing processes, which produces a high level of surface quality and is primarily controlled by a magnetic field. In this book, an attempt has been made to estimate and simulate the influence of the magnetic abrasive finishing (MAF) parameters on the Material Removal Rate (MRR) and surface roughness (Ra) of a solid shaft duraluminum (2024) workpiece with 6mm diameter using Artificial Neural Network (ANN) model. The relationship between the input parameters with MRR and Ra has been achieved by using the regression model. This work includes the classification of MAF system, manufacturing of MAF machine and the magnetic poles, and preparing of a ferromagnetic abrasive powder by mixing the iron oxide with industrial diamond powder. A series of experimental tests have been done to generate Input/output data sets that have been used in ANN. 136 pp. Englisch.
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Estimation of the Magnetic Abrasive Finishing System Using ANN Model
DE NWISBN: 9783659606496 bzw. 3659606499, in Deutsch, neu.
Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Lieferzeit: 11 Tage, zzgl. Versandkosten.
Magnetic Abrasive Finishing (MAF) is one of the advanced finishing processes, which produces a high level of surface quality and is primarily controlled by a magnetic field. In this book, an attempt has been made to estimate and simulate the influence of the magnetic abrasive finishing (MAF) parameters on the Material Removal Rate (MRR) and surface roughness (Ra) of a solid shaft duraluminum (2024) workpiece with 6mm diameter using Artificial Neural Network (ANN) model. The relationship between the input parameters with MRR and Ra has been achieved by using the regression model. This work includes the classification of MAF system, manufacturing of MAF machine and the magnetic poles, and preparing of a ferromagnetic abrasive powder by mixing the iron oxide with industrial diamond powder. A series of experimental tests have been done to generate Input/output data sets that have been used in ANN.
Magnetic Abrasive Finishing (MAF) is one of the advanced finishing processes, which produces a high level of surface quality and is primarily controlled by a magnetic field. In this book, an attempt has been made to estimate and simulate the influence of the magnetic abrasive finishing (MAF) parameters on the Material Removal Rate (MRR) and surface roughness (Ra) of a solid shaft duraluminum (2024) workpiece with 6mm diameter using Artificial Neural Network (ANN) model. The relationship between the input parameters with MRR and Ra has been achieved by using the regression model. This work includes the classification of MAF system, manufacturing of MAF machine and the magnetic poles, and preparing of a ferromagnetic abrasive powder by mixing the iron oxide with industrial diamond powder. A series of experimental tests have been done to generate Input/output data sets that have been used in ANN.
3
Estimation of the Magnetic Abrasive Finishing System Using ANN Model
DE PB NWISBN: 9783659606496 bzw. 3659606499, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Estimation of the Magnetic Abrasive Finishing System Using ANN Model: Magnetic Abrasive Finishing (MAF) is one of the advanced finishing processes, which produces a high level of surface quality and is primarily controlled by a magnetic field. In this book, an attempt has been made to estimate and simulate the influence of the magnetic abrasive finishing (MAF) parameters on the Material Removal Rate (MRR) and surface roughness (Ra) of a solid shaft duraluminum (2024) workpiece with 6mm diameter using Artificial Neural Network (ANN) model. The relationship between the input parameters with MRR and Ra has been achieved by using the regression model. This work includes the classification of MAF system, manufacturing of MAF machine and the magnetic poles, and preparing of a ferromagnetic abrasive powder by mixing the iron oxide with industrial diamond powder. A series of experimental tests have been done to generate Input/output data sets that have been used in ANN. Englisch, Taschenbuch.
Estimation of the Magnetic Abrasive Finishing System Using ANN Model: Magnetic Abrasive Finishing (MAF) is one of the advanced finishing processes, which produces a high level of surface quality and is primarily controlled by a magnetic field. In this book, an attempt has been made to estimate and simulate the influence of the magnetic abrasive finishing (MAF) parameters on the Material Removal Rate (MRR) and surface roughness (Ra) of a solid shaft duraluminum (2024) workpiece with 6mm diameter using Artificial Neural Network (ANN) model. The relationship between the input parameters with MRR and Ra has been achieved by using the regression model. This work includes the classification of MAF system, manufacturing of MAF machine and the magnetic poles, and preparing of a ferromagnetic abrasive powder by mixing the iron oxide with industrial diamond powder. A series of experimental tests have been done to generate Input/output data sets that have been used in ANN. Englisch, Taschenbuch.
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Symbolbild
Estimation of the Magnetic Abrasive Finishing System Using ANN Model (2014)
DE PB NW RPISBN: 9783659606496 bzw. 3659606499, in Deutsch, LAP LAMBERT Academic Publishing, Taschenbuch, neu, Nachdruck.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
Von Händler/Antiquariat, English-Book-Service Mannheim [1048135], Mannheim, Germany.
This item is printed on demand for shipment within 3 working days.
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Estimation of the Magnetic Abrasive Finishing (2014)
~EN PB NWISBN: 9783659606496 bzw. 3659606499, vermutlich in Englisch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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Estimation of the Magnetic Ab (2014)
DE PB NWISBN: 9783659606496 bzw. 3659606499, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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