International Journal of Engineering Research

Binayaka Nahak ¹, Tarun Bhardwaj ², Pushpendra Singh Chauhan ²

Affiliations
1 Department of Mechanical Engineering, IIT (BHU) Varanasi-221005, IN
2 Department of Mechanical Engineering, MNNIT Allahabad-211004, IN

Abstract

Hydro forming process is one of the new technologies in the manufacturing process in which hollow pieces and sheet works are formed under fluid pressure. This paper deals with the development of a sheet hydro forming (SHF) set up and model to predict the deformation caused by the hydro forming using Artificial Neural Networks(ANN). During the sheet hydro forming (SHF) process, the hydraulic pressures were measured and simultaneously the required hemispherical products were obtained with dome height and specific thickness. To validate result of this set up work, a hemispherical part was formed in a fabricated hydro forming set up using single sheet. The data used to train the Artificial Neural Network (ANN) model was collected from sheet hydro forming (SHF) set up that was designed and built in our laboratory. Single- and two-hidden-layer feed forward neural network models were used to capture the nonlinear correlations between the input(hydraulic pressure, thickness and diameter of work piece) and output (dome height of deformed product). Neural network model was able to predict the deformed dome height, thickness of circular sheet with good accuracy.

Keywords

Sheet Hydro-Forming, ANN, Hydraulic Pressure, Dome Height.

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Vivek Roy ¹, Binayaka Nahak ¹, Mohd Zaheer Khan Yusufzai ¹, Meghanshu Vashista ¹

Affiliations
1 Department of Mechanical Engineering, I.I.T., B.H.U., Varanasi-221005, IN

Abstract

X-ray diffraction (XRD) scan profiles of medium carbon steel ground samples were analyzed to assess the grinding induced plastic deformation. Broadening of XRD scan profiles with higher downfeed indicated the possible plastic deformation. XRD scan profiles were studied to measure full width at half maximum (FWHM) of profiles for assessment of plastic deformation at various level of downfeed. FWHM analysis revealed that FWHM increases with downfeed owing to plastic deformation. Grain size of deformed layers was also estimated using Scherrer equation to verify the results obtained through FWHM analysis. Grain size was observed to decrease with downfeed due to associated plastic deformation. Assessment of grinding induced plastic deformation using XRD profiles demonstrated the applicability of this new approach for qualitative measurement of surface integrity characteristics like microhardness and surface roughness. Microhardness measurement and surface roughness analysis of ground samples have been undertaken to confirm the results obtained by FWHM study.

Keywords

Plastic Deformation, X-Ray Diffraction, Grinding, Grain Size, FWHM, Scherer's Equation, Surface Integrity.

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