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Machining, Joining and Modifications of Advanced Materials [Hardcover]

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  • Category: Books (Technology &Amp; Engineering)
  • ISBN-10:  9811010811
  • ISBN-10:  9811010811
  • ISBN-13:  9789811010811
  • ISBN-13:  9789811010811
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2016
  • Pub Date:  01-Apr-2016
  • SKU:  9811010811-11-SPRI
  • SKU:  9811010811-11-SPRI
  • Item ID: 100976608
  • List Price: $109.99
  • Seller: ShopSpell
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  • Delivery by: Dec 01 to Dec 03
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This book presents the latest advances in mechanical and materials engineering applied to the machining, joining and modification of modern engineering materials. The contributions cover the classical fields of casting, forming and injection moulding as representative manufacturing methods, whereas additive manufacturing methods (rapid prototyping and laser sintering) are treated as more innovative and recent technologies that are paving the way for the manufacturing of shapes and features that traditional methods are unable to deliver. The book also explores water jet cutting as an innovative cutting technology that avoids the heat build-up typical of classical mechanical cutting. It introduces readers to laser cutting as an alternative technology for the separation of materials, and to classical bonding and friction stir welding approaches in the context of joining technologies. In many cases, forming and machining technologies require additional post-treatment to achieve the required level of surface quality or to furnish a protective layer. Accordingly, sections on laser treatment, shot peening and the production of protective layers round out the books coverage.

1 Experimental and Numerical Analysis of the Effect of Ribs and Beds in Sheet Metal Parts With 90? Bend.- 2 Effect of Boron Nitride Coating on Wear Behavior of Carbide Cutting Tools in Milling of Inconel 718.- 3 Fused Deposition Modeling of PCL/HA/MMT Biocompatible Polymer Nano-composites.- 4 Forming Temperature Investigation of Aluminum and Aluminum/Silicon Carbide Using Image Texture Features.- 5 Application of Artificial Neural Network to Predict the Effects of Severe Shot Peening on Properties of Low Carbon Steel.

Andreas ?chsner is a Full Professor at the School of Engineering, Griffith University, Australia and Leader of the Mechanical Engineering Program (Head of Discipline and ProgrlĂ$

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