Artificial Intelligence Monitoring of Hardening Methods and Cutting Conditions and Their Effects on Surface Roughness, Performance, and Finish Turning Costs of Solid-State Recycled Aluminum Alloy 6061 Chips

Faculty Engineering Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed Adel Taha Mohamed Abass
Journal: Metals mdpi Volume:
Keywords : Artificial Intelligence Monitoring , Hardening Methods , Cutting Conditions    
Abstract:
Aluminum Alloy 6061 components are frequently manufactured for various industries—aeronautics, yachting, and optical instruments—due to their excellent physical and mechanical properties, including corrosion resistance. There is little re
    
     
 
       

Author Related Publications

  • Mohamed Adel Taha Mohamed Abass , "ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs", mdpi, 2018 More
  • Mohamed Adel Taha Mohamed Abass , "Effect of Equal Channel Angular Pressing on the Surface Roughness of Solid State Recycled Aluminum Alloy 6061 Chips", Hindawi, 2017 More
  • Mohamed Adel Taha Mohamed Abass , "Effect of extrusion temperature on the surface roughness of solid state recycled aluminum alloy 6061 chips during turning operation", SAGE, 2017 More
  • Mohamed Adel Taha Mohamed Abass , "Minimization of turning time for high-strength steel with a given surface roughness using the Edgeworth–Pareto optimization method", Springer, 2017 More
  • Mohamed Adel Taha Mohamed Abass , "ANN Surface Roughness Optimization of AZ61 Magnesium Alloy Finish Turning: Minimum Machining Times at Prime Machining Costs", mdpi, 2018 More

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  • Ahmed Abou ElWafa Megahed Abou ElWafa Elbasyouni, "On the Prediction of Surface Roughness in Turning Operation using Artificial Neural Networks", Cairo University, 2000 More
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