Publications by authors named "Vinoth Kumar Selvaraj"
This study investigates the production of graphene-enhanced polyethylene terephthalate glycol (G-PETG) components using fused deposition modeling (FDM) and evaluates their mechanical properties, contributing to the advancement of additive manufacturing. Trials demonstrated notable improvements in mechanical performance, with optimal printing parameters identified using the Spice Logic Analytical Hierarchy Process (AHP). The effectiveness of this methodology is further compared with the Fuzzy Analytic Hierarchy Process (FAHP) combined with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS).
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- 3D printing is being widely adopted across industries due to its advantages like precision and reduced fabrication time, but it faces errors like stringing and overheating.
- This study explores using machine learning to optimize 3D printing parameters, incorporating factors like material type and temperature, and uses four network architectures (CNN, ResNet152, MobileNet, Inception V3) for this purpose.
- The Inception V3 model achieved the highest accuracy at 97%, effectively predicting parameters and detecting errors, thus preventing material waste in manufacturing.
Article Synopsis
- Most polyols for polyurethane foam are currently made from petrochemicals, but this study explores using renewable castor oil to create an environmentally friendly alternative.
- The research aims to develop a bio-based, low-density material that protects against electromagnetic interference (EMI) for various applications in communication, aerospace, and electronics.
- The study combines flexible bio-based polyurethane foam with nanoparticles (graphite nanoplates, zirconium oxide, bamboo charcoal) and finds that specific weight percentages of these materials can achieve a maximum EMI shielding effectiveness of 28.03 dB in the 8-12 GHz frequency range.