9786209539756 - Fuzzy Logic Applications in Advanced Grinding Processes: An Intelligent Approach to Surface Roughness Prediction di Mishra, B. K; Jha, S. K; Burnwal, A. P (8 risultati)

Condizione: New.

Taschenbuch. Condizione: Neu. Fuzzy Logic Applications in Advanced Grinding Processes | An Intelligent Approach to Surface Roughness Prediction | B. K Mishra (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209539756 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an in-depth investigation into the application of fuzzy logic for analyzing surface roughness in components machined using the Electrical Discharge Diamond Grinding (EDDG) process. Surface roughness is a critical indicator of surface integrity and directly influences the functional performance, wear behavior, and service life of engineering components. Electrical Discharge Diamond Grinding, a hybrid machining process combining electrical discharge erosion and diamond grinding, offers significant advantages in machining hard and difficult-to-machine materials. However, the complex and nonlinear interaction of electrical and mechanical process parameters makes accurate prediction of surface quality challenging. To address this issue, this book employs fuzzy logic-based modeling techniques capable of handling uncertainty, imprecision, and variability inherent in advanced manufacturing processes. The book covers surface roughness fundamentals, EDDG process principles, experimental methodology, and the development and validation of fuzzy inference systems for surface roughness prediction. Emphasis is placed on interpretable rule-based modeling and decision support. 108 pp. Englisch.

Paperback. Condizione: new. Paperback. This book presents an in-depth investigation into the application of fuzzy logic for analyzing surface roughness in components machined using the Electrical Discharge Diamond Grinding (EDDG) process. Surface roughness is a critical indicator of surface integrity and directly influences the functional performance, wear behavior, and service life of engineering components. Electrical Discharge Diamond Grinding, a hybrid machining process combining electrical discharge erosion and diamond grinding, offers significant advantages in machining hard and difficult-to-machine materials. However, the complex and nonlinear interaction of electrical and mechanical process parameters makes accurate prediction of surface quality challenging. To address this issue, this book employs fuzzy logic-based modeling techniques capable of handling uncertainty, imprecision, and variability inherent in advanced manufacturing processes. The book covers surface roughness fundamentals, EDDG process principles, experimental methodology, and the development and validation of fuzzy inference systems for surface roughness prediction. Emphasis is placed on interpretable rule-based modeling and decision support. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents an in-depth investigation into the application of fuzzy logic for analyzing surface roughness in components machined using the Electrical Discharge Diamond Grinding (EDDG) process. Surface roughness is a critical indicator of surface integrity and directly influences the functional performance, wear behavior, and service life of engineering components. Electrical Discharge Diamond Grinding, a hybrid machining process combining electrical discharge erosion and diamond grinding, offers significant advantages in machining hard and difficult-to-machine materials. However, the complex and nonlinear interaction of electrical and mechanical process parameters makes accurate prediction of surface quality challenging. To address this issue, this book employs fuzzy logic-based modeling techniques capable of handling uncertainty, imprecision, and variability inherent in advanced manufacturing processes. The book covers surface roughness fundamentals, EDDG process principles, experimental methodology, and the development and validation of fuzzy inference systems for surface roughness prediction. Emphasis is placed on interpretable rule-based modeling and decision support.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents an in-depth investigation into the application of fuzzy logic for analyzing surface roughness in components machined using the Electrical Discharge Diamond Grinding (EDDG) process. Surface roughness is a critical indicator of surface integrity and directly influences the functional performance, wear behavior, and service life of engineering components. Electrical Discharge Diamond Grinding, a hybrid machining process combining electrical discharge erosion and diamond grinding, offers significant advantages in machining hard and difficult-to-machine materials. However, the complex and nonlinear interaction of electrical and mechanical process parameters makes accurate prediction of surface quality challenging. To address this issue, this book employs fuzzy logic-based modeling techniques capable of handling uncertainty, imprecision, and variability inherent in advanced manufacturing processes. The book covers surface roughness fundamentals, EDDG process principles, experimental methodology, and the development and validation of fuzzy inference systems for surface roughness prediction. Emphasis is placed on interpretable rule-based modeling and decision support.