Faculty Publications
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Item Experimental Modal Analysis Using Impact Hammer Testing with Random Forest-Based Prediction of Magnetorheological Elastomer Dynamics(Institute of Physics, 2025) Shenoy, P.; Kamath, N.; Pawar, K.; Singh, N.; Soundarya; Afnan, S.; Mayya D, S.This study presents a novel integration of impact hammer-based experimental modal analysis with Random Forest Regression (RFR) to rapidly characterise the frequency-domain dynamic behaviour of Carbonyl Iron Particle (CIP)-based Magnetorheological Elastomers (MREs) under varying magnetic fields. Using only applied current and excitation frequency as input features, the RFR model predicts FRF amplitude, phase, and coherence with R2 values exceeding 0.96 across both low-frequency (0-70 Hz) and high-frequency (> 70 Hz) regimes. This hybrid experimental-computational framework significantly reduces the number of repeated tests required, enabling faster parametric studies and paving the way for real-time, AI-enhanced tuning of smart vibration isolation systems. © Published under licence by IOP Publishing Ltd.Item Experimentation and Prediction Analysis on the Mechanical Performance of Fish Scale and Coconut Shell Powder-Based Composites(Taylor and Francis Ltd., 2022) Lokesh, L.; Shanmugam, B.K.; Mayya D, S.; B.p, P.; Naveen Kumar, N.; Hanumanthappa, H.In India, the utilization of natural fibers for developing new composites with desirable properties has been increasing from the last decade. Bio-waste such as fish scale and coconut shell (CS) powder was utilized to develop natural fiber-based composites in the present work. Three composite specimens, i.e., 30 wt% fish scale (FS), 30 wt% CS powder (CS), and 5 wt% fish scale (FS)+ 5 wt% CS powder specimen, were developed. The tensile, flexural, and impact strength testing was carried out on each specimen. A comparative study was drawn between the test results of the specimen. The experimental results showed that the CS powder-based composites yield improved mechanical properties compared to the fish scale-based composites. Furthermore, a quadratic and cubic mathematical model was developed on the experimental results of tensile and flexural testing for each specimen. The regression results show that the cubic regression model yields better prediction results than the quadratic regression model for all the composite specimens. The experimental results showed that the largely available fish scale and CS powder could be used to produce biowaste-based value-added material that provides a sustainable and eco-friendly approach. © 2021 Taylor & Francis.
