Hybrid optimization of engine performance and emission using RSM-ANN-GA framework to explore valorization potential of waste cooking oil with green synthesized heterogenous ZnO nanocatalyst

作者: Ramasamy, Subbaiya ; Rajavel, Prakash ; Arthanarisamy, Murugesan

The escalating interest in utilizing non-competitive feedstocks for biodiesel production suggests waste cooking oil as a cost-effective resource being explored.The present work highlights the bioconversion of waste cooking oil catalyzed by heterogeneous ZnO nano-catalyst derived from Aloe vera.The performance of DI-CI engine was analyzed for the biodiesel blends of B20 & B20GS50 with externally cooled electronically controlled EGR.The green synthesized zinc oxide nano particle acts as a dual performer including transesterification catalyst and fuel additive.The results revealed that nano catalyzed biodiesel potential of waste cooking oil was 92 ± 0.24 %.The kinetic modeling demonstrated first order reaction kinetics with k = 0.015 min^-1 and thermodn. anal. evidenced endothermic nature of transesterification with ΔH = 39.74 kJ/mol.UV-Vis spectra confirm the presence of zinc oxide nanoparticles at 564 cm^-1.FTIR anal. exhibited peaks at 2928, 1442, 3428 and 1750 cm^-1 indicate alkane (CH₂), C=O, hydroxyl and amino functional moieties resp.The sharp peak indicates good crystallinity of the nanoparticles in XRD anal.Machine learning tools such as RSM and ANN demonstrated lesser RMSE and R² values of 0.1555, 0.2276, 20.33 and 83.54 for BTE and NO_x resp.The higher R² value of RSM such as 0.9891 and 0.9999 corresponding to BTE and NO_x indicates the reliability of the model towards performance optimization.RSM predicted optimized parameters are 100 % load, 81.564 % biodiesel and 20 % EGR resulted with 31.259 % BTE and 169.2 ppm NO_x.The predictive ability of RSM was higher than ANN.Therefore, the study recommended RSM for performance optimization of DI-CI engine.

2025-04-01·Journal of Molecular Structure

Bio electrochemical and in-vitro bioactivity evaluation of Araucaria columnaris interceded α-MoO3 nano rods fused chitosan-sodium alginate scaffold for tissue engineering applications

作者: Surendhiran, Srinivasan ; Sruthi, Narayanasamy ; Jagan, Krishnaveni Selva Ganeshan ; Karthik, Arumugam ; Savitha, Saravanan ; Balu, Kolathupalayam Shanmugam ; Naren Vidaarth, Tamilselvi Mohanasundaram

Araucaria columnaris leaf extract-mediated molybdenum trioxide (MoO₃) nanorods were synthesized using ammonium molybdate as a precursor.Biomimetic scaffolds were prepared by solvent casting using chitosan-sodium alginate and MoO₃ nanorods.Physico-chem. characteristics of MoO₃ nanorods and biomimetic scaffolds were scrutinized using appropriate characterization techniques.The XRD and FE-SEM anal. claimed that molybdenum has an orthorhombic structure with the morphol. of α-phase and the nanorods, resp.TGA anal. on MoO₃ nanorods retained 86.4 weight% of mass when its temperature extended to 935 °C.The antioxidant and antibacterial properties of MoO₃ nanorods and their biomimetic scaffolds have been examinedIn vitro, the bioactivity of MoO₃ nanorods and their biomimetic scaffolds was assessed using SBF for biomineralization and PBS for swelling and protein absorption.The MoO₃ nanorods and scaffolds show better in vitro cytotoxicity against adenocarcinoma- MCF-7 cell lines at 82 % and 75 %, resp.Bio-electrochem. behaviors of a model Ti alloy with nanocomposite scaffold against PBS solution were investigated, and its biomimetic scaffold with concertation of α-MoO₃ 500 mg offered a better tissue regeneration response.

2025-03-10·2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS)

Smart Air and Water Quality Monitoring for Industrial Emissions using IoT and Machine Learning

作者: Ramya, Ms. R. ; Asfiya Taj, Ms. S. ; Kaviyarasan, Mr. D. ; Amithesh Sharavan, Mr. S.

100 项与 K. S. Rangasamy College of Technology 相关的药物交易

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100 项与 K. S. Rangasamy College of Technology 相关的转化医学

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