Articoli correlati a Sustainable Parametric Optimization in CNC Machining:...
Sustainable Parametric Optimization in CNC Machining: A Statistical, Theoretical and Pedagogical Framework - Brossura
Sinossi
The modern manufacturing sector operates under intense pressure to balance economic viability with environmental responsibility. This monograph provides a comprehensive framework to solve the persistent conflict between maximizing productivity and maintaining superior surface integrity in Computer Numerical Control (CNC) turning operations. Written for process engineers, researchers and students, the book moves beyond traditional single-variable studies. It presents a rigorous comparative analysis of two metallurgically opposed materials: the highly abrasive EN-31 alloy steel and the ductile, low-carbon Mild Steel. Readers will find a clear, step-by-step application of robust parameter design using the Taguchi method, Analysis of Variance (ANOVA), and Grey Relational Analysis (GRA) to calculate the exact machining parameters that satisfy conflicting operational goals. The text bridges the gap between conventional statistics and modern predictive manufacturing. It details the setup and training of Artificial Neural Networks (ANN) to predict material removal rates with exceptional accuracy. It also includes Finite Element Modeling (FEM) to simulate the thermo-mechanical stresses and heat gradients at the tool-workpiece interface before a physical cut is ever made. Finally, the book addresses the future of engineering education. It outlines a Project-Based Learning curriculum designed to help undergraduate students master complex multi-objective optimization through hands-on industrial application. This volume serves as a practical, data-driven guide for anyone committed to the advancement of smart, energy-efficient manufacturing systems.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Sustainable Parametric Optimization in CNC Machining:...
Foto dell'editore
Sustainable Parametric Optimization in CNC Machining: A Statistical, Theoretical and Pedagogical Framework
Da: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Codice articolo I-9789999350150
Compra nuovo
EUR 38,58
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Sustainable Parametric Optimization in CNC Machining
Print on DemandDa: PBShop.store US, Wood Dale, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9789999350150
Compra nuovo
EUR 51,86
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Sustainable Parametric Optimization in CNC Machining
Print on DemandDa: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
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. Codice articolo L0-9789999350150
Compra nuovo
EUR 49,90
Spedizione EUR 3,89
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Sustainable Parametric Optimization in CNC Machining: A Statistical, Theoretical and Pedagogical Framework
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 90 pages. 6.00x0.21x9.00 inches. In Stock. Codice articolo x-9999350151
Compra nuovo
EUR 47,53
Spedizione EUR 11,84
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 2 disponibili
Foto dell'editore
Sustainable Parametric Optimization in CNC Machining
Print on DemandDa: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch. Codice articolo 9789999350150
Compra nuovo
EUR 46,40
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Foto dell'editore
Sustainable Parametric Optimization in CNC Machining
Print on DemandDa: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The modern manufacturing sector operates under intense pressure to balance economic viability with environmental responsibility. This monograph provides a comprehensive framework to solve the persistent conflict between maximizing productivity and maintaining superior surface integrity in Computer Numerical Control (CNC) turning operations. Written for process engineers, researchers and students, the book moves beyond traditional single-variable studies. It presents a rigorous comparative analysis of two metallurgically opposed materials: the highly abrasive EN-31 alloy steel and the ductile, low-carbon Mild Steel. Readers will find a clear, step-by-step application of robust parameter design using the Taguchi method, Analysis of Variance (ANOVA), and Grey Relational Analysis (GRA) to calculate the exact machining parameters that satisfy conflicting operational goals. The text bridges the gap between conventional statistics and modern predictive manufacturing. It details the setup and training of Artificial Neural Networks (ANN) to predict material removal rates with exceptional accuracy. It also includes Finite Element Modeling (FEM) to simulate the thermo-mechanical stresses and heat gradients at the tool-workpiece interface before a physical cut is ever made. Finally, the book addresses the future of engineering education. It outlines a Project-Based Learning curriculum designed to help undergraduate students master complex multi-objective optimization through hands-on industrial application. This volume serves as a practical, data-driven guide for anyone committed to the advancement of smart, energy-efficient manufacturing systems. 92 pp. Englisch. Codice articolo 9789999350150
Compra nuovo
EUR 46,40
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Sustainable Parametric Optimization in CNC Machining | A Statistical, Theoretical and Pedagogical Framework
Print on DemandDa: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Sustainable Parametric Optimization in CNC Machining | A Statistical, Theoretical and Pedagogical Framework | Syed Eirfan Atthar | Taschenbuch | Englisch | 2026 | Eliva Press | EAN 9789999350150 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Codice articolo 136969191
Compra nuovo
EUR 45,75
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili
Foto dell'editore
Sustainable Parametric Optimization in CNC Machining : A Statistical, Theoretical and Pedagogical Framework
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The modern manufacturing sector operates under intense pressure to balance economic viability with environmental responsibility. This monograph provides a comprehensive framework to solve the persistent conflict between maximizing productivity and maintaining superior surface integrity in Computer Numerical Control (CNC) turning operations. Written for process engineers, researchers and students, the book moves beyond traditional single-variable studies. It presents a rigorous comparative analysis of two metallurgically opposed materials: the highly abrasive EN-31 alloy steel and the ductile, low-carbon Mild Steel. Readers will find a clear, step-by-step application of robust parameter design using the Taguchi method, Analysis of Variance (ANOVA), and Grey Relational Analysis (GRA) to calculate the exact machining parameters that satisfy conflicting operational goals. The text bridges the gap between conventional statistics and modern predictive manufacturing. It details the setup and training of Artificial Neural Networks (ANN) to predict material removal rates with exceptional accuracy. It also includes Finite Element Modeling (FEM) to simulate the thermo-mechanical stresses and heat gradients at the tool-workpiece interface before a physical cut is ever made. Finally, the book addresses the future of engineering education. It outlines a Project-Based Learning curriculum designed to help undergraduate students master complex multi-objective optimization through hands-on industrial application. This volume serves as a practical, data-driven guide for anyone committed to the advancement of smart, energy-efficient manufacturing systems. Codice articolo 9789999350150
Compra nuovo
EUR 88,45
Spedizione EUR 35,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili