Publications by authors named "Mohamed Baraya"
Article Synopsis
- The study evaluates the effectiveness of ultrasonic vibration-assisted milling (USVAM) on machining 7075 aluminium alloy and Ti-6Al-4V titanium alloy, highlighting their differing mechanical properties.
- It explores the design of a specific ultrasonic setup that operates at 28 kHz frequency and 8 µm amplitude, comparing the performance between conventional milling and USVAM methods through various experiments.
- Findings show that USVAM reduces cutting force by up to 30% and improves surface roughness approximately four times compared to conventional milling, with an artificial neural network model demonstrating high accuracy in predicting these outcomes.
This study aims to illustrate the design, fabrication, and optimisation of an ultrasonic welding (UW) machine to join copper wires with non-woven PVC textiles as smart textiles. The study explicitly evaluates UW parameters' impact on heat generation, joint strength, and electrical properties, with a comprehensive understanding of the process dynamics and developing a predictive model applicable to smart textiles. The methodological approach involved designing and manufacturing an ultrasonic piezoelectric transducer using ABAQUS finite element analyses (FEA) software and constructing a UW machine for the current purpose.
View Article and Find Full Text PDFLimitations of Reconstructing Pentacam Rabbit Corneal Tomography by Zernike Polynomials.
Bioengineering (Basel)
December 2022
The study aims to investigate the likelihood of Zernike polynomial being used for reconstructing rabbit corneal surfaces as scanned by the Pentacam segment tomographer, and hence evaluate the accuracy of corneal power maps calculated from such Zernike fitted surfaces. The study utilised a data set of both eyes of 21 rabbits using a reverse engineering approach for deductive reasoning. Pentacam raw elevation data were fitted to Zernike polynomials of orders 2 to 20.
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