#friction surfacing

[crimsonpublishers]

Metallic Coatings of Steels by Friction Surfacing Process_Crimson Publishers

Metallic Coatings of Steels by Friction Surfacing Process by Zakaria Boumerzoug* in Crimson Publishers: Peer Reviewed Material Science Journals 

The objective of this study is to investigate the coating of steels by using friction surfacing process. Two different steels were used in this study (A60 and XC steel). Optical microscopy and hardness measurements were used as techniques of characterization. The coating process was succeffully performed in milling machine. The obtained results indicated the difference between the substrate and the deposited material from the microsructural or mechanical properties. The hardness of the coating is higher than the substrate. 

For more Open access journals in Crimson Publishers please click on below link https://crimsonpublishersresearch.com/

For more article in Peer Reviewed Material Science Journals please click on below link https://crimsonpublishers.com/rdms/

[ijtsrd]

ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel

V. Pitchi Raju ""ANN Model Based Calculation of Tensile of Friction Surfaced Tool Steel""

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019,

URL: https://www.ijtsrd.com/papers/ijtsrd29169.pdf

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/29169/ann-model-based-calculation-of-tensile-of-friction-surfaced-tool-steel/v-pitchi-raju

ugc approved science journal, languages journal, research papers

Friction surface treatment is well established solid technology and is used for deposition, abrasion and corrosion protection coatings on rigid materials. This novel process has wide range of industrial applications, particularly in the field of reclamation and repair of damaged and worn engineering components. In this paper, present the prediction of tensile of friction surface treated tool steel using ANN for simulated results of friction surface treatment. This experiment was carried out to obtain tool steel coatings of low carbon steel parts by changing input process parameters such as friction pressure, rotational speed and welding speed. The simulation is performed by a 33 factor design that takes into account the maximum and minimum limits of the experimental work performed by the 23 factor design. Neural network structures, such as the Feed Forward Neural Network FFNN , were used to predict tensile tool steel sediments caused by friction.