ISBN: 9786209061097 - advanced materials engineering: aluminium matrix composites and electrochemical machining optimization (15 risultati)

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Advanced Materials Engineering | Aluminium Matrix Composites and Electrochemical Machining Optimization | Rakesh G (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786209061097 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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 60 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a complete pathway from materials engineering to optimized manufacturing for aluminium matrix composites. It details the stir casting fabrication of an Al6061-Al2O3-SiC composite, verifies property gains through tensile, shear, torsion, hardness, and SEM analyses, and then develops electrochemical machining (ECM) process maps linking voltage, feed, and electrolyte flow to material removal rate (MRR) and surface roughness (Ra). Using response surface models derived from 27 controlled trials, it applies NSGA II to generate Pareto optimal machining parameters, including a validated near optimum around U = 9.35 L/min, F = 0.104 mm/min, and V = 23.38 V that balances throughput and finish (MRR = 0.5486×10 kg/min, Ra = 3.404 mim). The result is a practical decision toolkit that unites microstructure aware composite design with data driven ECM optimization, enabling reproducible, burr free machining of abrasive AMCs. The text is intended for engineers, researchers, and advanced students seeking rigorous, implementable methods from lab to production. …

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Paperback. Condizione: new. Paperback. This book provides a complete pathway from materials engineering to optimized manufacturing for aluminium matrix composites. It details the stir-casting fabrication of an Al6061-Al2O3-SiC composite, verifies property gains through tensile, shear, torsion, hardness, and SEM analyses, and then develops electrochemical machining (ECM) process maps linking voltage, feed, and electrolyte flow to material removal rate (MRR) and surface roughness (Ra). Using response surface models derived from 27 controlled trials, it applies NSGA-II to generate Pareto-optimal machining parameters, including a validated near-optimum around U 9.35 L/min, F 0.104 mm/min, and V 23.38 V that balances throughput and finish (MRR 0.5486103 kg/min, Ra 3.404 mm). The result is a practical decision toolkit that unites microstructure-aware composite design with data-driven ECM optimization, enabling reproducible, burr-free machining of abrasive AMCs. The text is intended for engineers, researchers, and advanced students seeking rigorous, implementable methods from lab to production. 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 provides a complete pathway from materials engineering to optimized manufacturing for aluminium matrix composites. It details the stir¿casting fabrication of an Al6061-Al2O3-SiC composite, verifies property gains through tensile, shear, torsion, hardness, and SEM analyses, and then develops electrochemical machining (ECM) process maps linking voltage, feed, and electrolyte flow to material removal rate (MRR) and surface roughness (Ra). Using response surface models derived from 27 controlled trials, it applies NSGA¿II to generate Pareto¿optimal machining parameters, including a validated near¿optimum around U ¿ 9.35 L/min, F ¿ 0.104 mm/min, and V ¿ 23.38 V that balances throughput and finish (MRR ¿ 0.5486×10¿ kg/min, Ra ¿ 3.404 ¿m). The result is a practical decision toolkit that unites microstructure¿aware composite design with datädriven ECM optimization, enabling reproducible, burr¿free machining of abrasive AMCs. The text is intended for engineers, researchers, and advanced students seeking rigorous, implementable methods from lab to production.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. …