Browsing International Journal of Nanoelectronics and Materials (IJNeaM) by Author "M. S., Yob"
Now showing items 1-4 of 4
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Investigation on the effects of machining performances for milling Al-30%/SiC-70% infiltrate metal matrix composites
R., Izamshah; A., Lamat; M., Rafiq; M. S., Kasim; M. S., A. Aziz; R., Zamri; M. S., Yob; R. S., A. Abdullah (Universiti Malaysia Perlis (UniMAP), 2022-03)The unique properties of Al-30%/SiC-70% Metal Matrix Composite (MMC) such as lightweight, high strength, and wear resistance has made it as an alternative material for precision machinery parts. Owing to the presence of ... -
Optimizing electroplating process parameter and Sn-Plating thickness uniformity using modified shielding
R., Izamshah; N., Suieb; M. S., Kasim; M. S., A. Aziz; M. S., Yob; S. A., Sundi; R., Zamri; R. S. A., Abdullah (Universiti Malaysia Perlis (UniMAP), 2022-03)Uneven plating thickness distribution across plated surface has become a major challenge in electroplating industry mainly due to the complexity of package design. In most cases, controlling the plating thickness uniformity ... -
Parameter optimization of fused deposition modeling process for 3D printed prosthetic socket using PCR-TOPSIS method
Lim, G. D.; M. J., Abd Latif; M. R., Alkahari; M. S., Yob; M., Musa; M. N., Abdul Rahman; P., Rajaandra; Nguyen, H. Q. (Universiti Malaysia Perlis (UniMAP), 2022-03)Prosthetic socket plays the most important role in lower limb prosthesis. The conventional fabrication process of prosthetic socket is labor intensive and time-consuming. The application of additive manufacturing technology ... -
Prediction of material removal rate in wire electrical discharge turning using artificial neural networks and adaptive neuro-fuzzy models
M., Akmal; R., Izamshah; M., Halim; M. S., Kasim; R., Zamri; M. S., Yob; M. S., A. Aziz; R. S. A., Abdullah (Universiti Malaysia Perlis (UniMAP), 2022-03)This work intended to assess the prediction and simulation effectiveness of the artificial neural network (ANN) with adaptive neuro-fuzzy inference system (ANFIS) approaches for modeling the material removal rate (MRR) ...