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Articles by Saad Hameed Al-Shafaie
Total Records ( 2 ) for Saad Hameed Al-Shafaie
  Saad Hameed Al-Shafaie
  This study represents work suggestion an ideological technique to solve optimization problem with multi-response enclosing Magnetic Abrasive Finishing (MAF) of stainless steel 316 (AISI 316 SS) using Artificial Neural Network (ANN) and Radial Basics Function Neural Network (RBFNN) methods based on Box Behnken design. The prediction of MAF is done by choosing input process parameters such as number of cycles of pole geometry, cutting velocity, amplitude of pole geometry, current, working gap and finishing time, whereas the output responses were Metal Removal Rate (MRR) and Surface Roughness (SR). Each node achieves an easy process in calculating its response from its independent variable that is conveyed through links joined to another. It is concluded that the error obtained in RBFNN Model is bigger than that ANN Model. In the end, it was proved that the create network’s model was built using ANN tool that gives the predicted result when compared to the RBFNN Model.
  Saad Hameed Al-Shafaie
  Demand for low weight to strength ratio for specific application in aerospace components and automobile created a field for advance studies on Metal Matrix Composites (MMCs). The main response selected to evaluate the processes are White Layer Thickness (WLT) and Surface Crack Density (SCD) whereas the corresponding machining conditions are discharge current (Ip), Voltage (V), pulse on Time (Ton) and pulse off Time (Toff). Wire Electrical Discharge Machining (WEDM) process is principally with multi response, thus, Grey Relational Analysis (GRA) is especially adopted to decide the optimum combination of machining parameters of Al6061 reinforced with volume fraction of 10% WCp. Design of experiments was carried out based on a standard L27 orthogonal array of Taguchi method. Minitab16 Software was performed to analyze the results obtained from experimental runs at confidence level 95%. For the present experimental study, it is observed that WLT and SCD are mainly affected by all process parameters except Toff has little effect on the SCD. The values corresponding to the response parameters were calculated using mathematical formulas and confirmed by the verification experiment. The values of confirmation tests, all being found to be quite satisfactory (10.92% in the worst case), prove the efficacy and reliability of the suggested approach.
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