Year 2023

• Mathematical modeling and prediction of pit to crack transition under cyclic thermal load using artificial neural network

  Publication

  • D. Yona

  - Year 2023

  The formation of pitting is a major problem in most metals, which is caused by extremely localized corrosion that creates small holes in metal and subsequently, it changes into cracks under mechanical load, thermo-mechanical stress, and corrosion process factors. This research aims to study pit to crack transition phenomenon of steel boiler heat tubes under cyclic thermal load, and mathematical modeling...

• Prediction of metal deformation due to line heating; an alternative method of mechanical bending, based on artificial neural network approach

  Publication

  • D. Yona

  - Year 2023

  Line heating is one of the alternative methods of forming metals and this kind of forming uses the heating torch as a source of heat input. During the process, many parameters are considered like the size of the substrate, thickness, cooling method, source power intensity, the travel speed of the power source, the sequence of heating, and so on. It is important to analyze the factors affecting the...

Year 2022

• Experimental investigation and process parameter optimization of sheet metal bending by line heating method

  Publication

  • D. Yona

  - Year 2022

   The present study is concerned with the experimental investigation of sheet metal deforming by line heating method that incorporates the combined effect of traverse speed of the torch, thickness of the sheet metal, and the number of passes of the torch. For the numerical analysis of metal bending by line heating, the