Mechanical Engineering, Renewable Energy, Sustainability and the Environment, Materials Science
220
Scopus Publications
4409
Scholar Citations
37
Scholar h-index
108
Scholar i10-index
Scopus Publications
Automated slope stability assessment using modified Morgenstern-Price method and machine learning integration Majid Showkat, Sufyan Ghani, Prabhu Paramasivam, Mohamed Yusuf Scientific Reports, 2026 This paper proposes a new hybrid automated framework that combines the Morgenstern-Price Limit Equilibrium Method (MP-LEM) with machine learning to predict the Factor of Safety (FSlope) for finite slopes under static and seismic loading conditions. The first synthetic data generation involved approximately 100,000 slope conditions that were varied through key geotechnical and seismic parameters: unit weight (γ), slope height (H), cohesion (c′), friction angle (ϕ′), slope angle (β), horizontal and vertical seismic coefficients (kh and kv), pore pressure ratio (µ), and the interslice force-scaling factor (λ). For model development, a stratified random sample of 20,000 cases was collated to maintain computational feasibility while preserving distributional characteristics. Corresponding FSlope values were computed using a simplified force-equilibrium form of the MP-LEM. The novelty of this study lies in the development of a comprehensive automated MP-LEM–ML framework specifically designed for finite slope stability analysis, which integrates a simplified Morgenstern–Price formulation with machine-learning models while explicitly accounting for pore pressure effects, bi-directional seismic loading, and interslice force scaling. The framework also automates the hyperparameter tuning, model evaluation, and optimal model selection within a reproducible Python environment, which enables a practical and deployable system for rapid finite slope stability assessment. Sensitivity analysis found that slope angle (β), slope height (H), and cohesion (c′) were the dominant controls on FSlope. Of nine tested ML algorithms (ANN, RF, DT, KNN, XT, GBoost, AdaBoost, XGBoost, and CatBoost), the CatBoost model had the highest predictive accuracy: R2 = 0.999, RMSE = 0.014 on the test set. The MP-LEM implementation was verified further by comparisons to published benchmark results. It returned R2 = 0.94, confirming its appropriateness as a reliable deterministic reference. Although the automated framework represents significant computational advantage, it is conditioned by the synthetic dataset based on the 2D and homogeneous soil assumptions, and by the underrepresentation of high-FSlope cases. Future work should focus on considering real case histories, probabilistic extensions, and 3D effects for further enhancement of practical applicability. In summary, the hybrid framework proposed herein represents a promising fast, accurate, and scalable decision-support framework for geotechnical slope stability assessment.
Advanced materials and surface engineering strategies for mitigating fouling and corrosion in geothermal heat exchangers Md Atiqur Rahman, S. M. Mozammil Hasnain, Prabhu Paramasivam, Abinet Gosaye Ayanie Discover Mechanical Engineering, 2026 Geothermal heat exchangers (GHXs) are essential in binary Organic Rankine Cycle (ORC) plants and ground-source systems but suffer significant performance degradation due to scaling, fouling, and corrosion caused by aggressive geothermal brines. Silica and carbonate scaling can reduce heat transfer capacity by 30–50%, while carbon steel components exhibit corrosion rates of 0.1–0.4 mm/y in chloride-rich environments. Fouling behaviour follows an asymptotic, linear, or falling-rate trend, depending on whether crystallisation is diffusion- or reaction-controlled, thereby significantly affecting thermal resistance and pressure drop. This review evaluates degradation mechanisms and mitigation strategies, including chemical and mechanical descaling, corrosion-resistant alloys (PREN > 40), and advanced coatings. Thermal spray coatings (e.g., WC-CoCr, TiO 2 ) enhance erosion–corrosion resistance and improve heat transfer performance, while PECVD and liquid-phase deposited oxide coatings provide conformal antifouling protection and extended service intervals. A hybrid approach combining corrosion-resistant alloys with engineered surface coatings is identified as the most promising pathway to reduce oversizing, extend service life, and improve the economic viability of geothermal plants.
Multi-response optimization of wire electrical discharge machining parameters for enhanced machinability of Ti-6Al-4 V alloy Anu Anand, Ghulam Anwer, S. M. Mozammil Hasnain, Prabhu Paramasivam, Leliso Hobicho Dabelo Discover Mechanical Engineering, 2026 Wire Electrical Discharge Machining (WEDM) is widely used for machining titanium alloys such as Ti-6Al-4 V. However, comprehensive multi-response optimisation incorporating a larger set of input and output variables remains limited. This study presents a systematic and extensive optimization of the WEDM process by simultaneously considering six control parameters and four critical performance responses: cutting velocity (CV), material removal rate (MRR), surface roughness (SR), and kerf width (KW). Response Surface Methodology (RSM) was employed to develop second-order predictive models, and their statistical significance and adequacy were validated using analysis of variance (ANOVA). The results reveal that pulse width (PW) and short-pulse time (SPT) exert a dominant influence on all machining responses, whereas wire feed rate (WFR) and wire mechanical tension (WMT) exert minimal influence. Multi-response optimization using the desirability function approach identified optimal machining conditions that significantly enhance productivity while maintaining superior surface integrity. Field emission scanning electron microscopy (FE-SEM) analysis of the optimized surfaces confirmed smooth morphology with minimal defects. The novelty of this work lies in the integrated optimization framework involving an expanded parameter–response space, offering robust guidelines for high-precision WEDM of Ti-6Al-4 V for biomedical and aerospace applications.
AI based optimization of injection pressure for hydrogen and spirogyra biodiesel dual fuel engine to enhance combustion performance and emission characteristics S. Aravind, Debabrata Barik, Prabhu Paramasivam, Dhinesh Balasubramanian, Utku Kale, Artūras Kilikevičius Scientific Reports, 2026 The principal objective of this research is to employ modern machine learning techniques to optimize high-pressure biofuel injection strategies for sustainable energy applications. An engine powered with biofuel and hydrogen (H₂) under dual-fuel (DF) mode was tested under a varied fuel injection pressure range from 180 to 240 bar for optimization and modeling. The results demonstrate that an injection pressure of 220 bar produces enhanced engine performance. At this pressure, enhancements were noted in combustion characteristics, efficiency, and emission levels. The ignition delay (ID) at 220 bar injection pressure was 9.4% longer than at 240 bar injection pressure. The 220 bar IP mix demonstrated reduced peak cylinder pressure (PCP) and heat release rate (HRR) compared to the 240 bar. A 12.4% rise in brake-specific fuel consumption (BSFC) was observed at 220 bar inlet pressure. Nevertheless, although brake thermal efficiency (BTE) increased with increasing injection pressure (IP), the increase at 220 bar was somewhat less than that at 240 bar. Despite elevated nitrogen oxide (NOx) emissions with the 220 bars compared to pure diesel, carbon monoxide (CO) and hydrocarbon (HC) emissions were markedly decreased. Smoke emissions were reduced with the 220 bars in comparison to diesel and other fuel combinations. Three machine learning models were employed to establish a predictive control framework. The decision tree (DT) model had the greatest accuracy, with R² values of 0.9792 for PCP and 0.9710 for HC, alongside near-zero MAPE for BTE and HC This study underscores the potential of AI-driven biofuel optimization for fostering sustainable transportation and renewable fuel strategies, paving the way for large-scale adoption of low-carbon, high-efficiency energy solutions.
Unraveling the impact of pilot fuel injection pressure on hydrogen-diesel engine performance through PCA and RSM analysis Avadhoot A Mohite, Nitin Kumar, Debasis De, Bhaskor J Bora, Bhaskar J Medhi, Prabhu Paramasivam, Mohamed Yusuf Scientific Reports, 2026 Hydrogen has garnered significant interest as a viable renewable energy source capable of revolutionizing conventional fuel systems. This study investigates the impact of engine load and liquid fuel injection pressure variations on the operational efficiency and emission characteristics of a hydrogen-enriched dual-fuel diesel engine, utilizing Jatropha biodiesel as the pilot ignition fuel. Advanced statistical methods, including Principal Component Analysis and Response Surface Methodology, were employed to optimize engine performance while minimizing emissions. The research aimed to achieve an Optimal Balance between efficiency requirements and emission constraints. Using Response Surface analysis, optimal engine parameters were identified at an liquid fuel injection pressure of 205.593 bar and an engine load of 70.816 %, yielding a brake thermal efficiency of 24. 3625 %, a liquid fuel replacement of 73.984 %, and NOx emissions of 188.687 ppm. These findings provide essential insights for enhancing the performance and environmental sustainability of hydrogen-assisted dual-fuel combustion systems.
Ionic transport of proton-conducting ammonium vanadate salt in blends of polyvinyl alcohol and sodium alginate for electrochemical applications M. Elakkiya, R. Jansi, M. S. Revathy, J. Kanimozhi, Saravanan Rajendran, Manikandan Ayyar, Prabhu Paramasivam, Mohamed Yusuf Scientific Reports, 2026 Exploring highly foldable batteries with no safety hazard is a vital task for the realization of portable, wearable, and implantable electric devices. Owing to these concerns, developing solid-state batteries is one of the most promising routes to achieve this aspiration. Because of the excellent flexibility and process ability, Sodium alginate blends polyvinyl alcohol-based electrolytes possess great potential to pack high energy density flexible batteries, however, suffers the various intrinsic shortcomings such as inferior ionic conductivity, a high degree of crystallinity, and lack of reactive groups. In this present work, polymer electrolyte films based on NaAlg blend PVA doped with NH 4 VO 3 salt were prepared by solution casting method. X-ray diffraction (XRD) explains that the enhancement of conductivity is affected by the degree of crystallinity. Fourier transform infrared (FTIR) spectroscopy analysis confirms the interaction between polymers and salt. For NaAlg/PVA system, a sample containing 15 wt% of NH 4 VO 3 possesses the highest ionic conductivity of 0.67 × 10 − 5 S cm − 1 . Several electrical and electrochemical characteristics of the prepared electrolytes were examined, including impedance, dielectric behavior, transference number, electrochemical stability window, energy density, specific capacitance (Cs), and power density. The ionic conductivity of the synthesized solid biopolymer electrolyte (SBE) system was found to be influenced by ion mobility (µ) and the diffusion coefficient (D). Hence, the aforementioned results indicate that the developed SBE system holds strong potential for application in electrochemical energy storage and conversion devices such as proton batteries, supercapacitors, and fuel cells.
Recent advances in corrosion behaviour and interfacial failure of rubber–metal composites G. Aswin, V. Prakash, N. Subasree, V. Arul, Prabhu Paramasivam, Lalitha Gnanasekaran, M. Santhamoorthy, K. Radhakrishnan Npj Materials Degradation, 2026 Rubber- Metal Composite are extensively used in automotive, aerospace and offshore industry as well as in the industry due to its flexibility, damping, and mechanical strength. Their work is however limited regularly through failure between interfaces and corrosion in highly aggressive conditions such as exposure to saline, thermal cycling, and mechanical fatigue. The review highlights recent advances in the study of corrosion behavior and interfacial degradation mechanisms of rubber-metal systems, as well as the effects of different formulations, vulcanization processes, surface modification, and filler engineering on adhesion, fatigue, and wear resistance. The new tendencies reflect a shift away from descriptive observation and toward mechanism-based insights, which are aided by the use of multi-scale modeling and real-time sensing to forecast crack initiation and interfacial delamination. New corrosion mitigation technologies are being reinterpreted in sustainable directions such as bio-based fillers, recycled rubber, and circular material design, with the goal of generating greener, more durable solutions. This review integrates experimental and computational insights to map the pathways to improved interfacial dependability, environmental resilience, and next-generation performance of rubber-metal composites.
Experimental investigation and optimization of mechanical and tribological performances of bio-based sustainable hybrid composites incorporating Nano-SiO₂ fillers G. Velmurugan, Jasgurpreet Singh Chohan, Ramya Maranan, Prabhu Paramasivam, N. Manikandan, P. Thejasree, S. Lakshmi Narayana, Bamidele Charles Olaiya, Mukesh Kumar Scientific Reports, 2026 The focus of this study is on the development and performance evaluation of sustainable Curauá/Areca hybrid fibre composites reinforced with epoxy and treated with alkali (NaOH) and nano-SiO₂. This work aims to enhance the mechanical and tribological efficiency of natural fibre composites through surface modification and nanoparticle incorporation, addressing the need for eco-friendly alternatives to synthetic composites. Optimization of the Curauá:Areca fibre ratio, NaOH treatment duration, nano-SiO₂ content, and applied load (for wear) was carried out using the Response Surface Methodology (RSM) for the mechanical and tribological processing parameters. Tensile and flexural strengths improved with higher Curauá fraction, while Areca-rich laminates displayed greater impact toughness. NaOH treatment increased fibre–matrix adhesion and was responsible for higher strength, less fibre pull-out, and reduced matrix porosity. Performance improved notably with nano-SiO₂ at intermediate loadings (~ 3–4 wt%), but decreased at higher loadings due to agglomeration. Tribological properties were best at 67% Curauá, 24 h NaOH treatment, ~ 3.75 wt% SiO₂, and 10 N load, with reduced wear rate and coefficient of friction attributed to the improved Curauá content, NaOH treatment, and optimum nano-SiO₂ dispersion. SEM analysis confirmed the results, illustrating enhanced fibre–matrix bonding, reduced fibre pull-out, and smoother wear surfaces in the treated, Curauá-rich composites. Under optimized conditions, RSM predictions were consistent with the experimental findings: tensile strength of 61.2 MPa, flexural strength of 76.3 MPa, impact strength of 20.2 kJ/m², minimum wear rate of 0.0011 mm3/Nm, and a coefficient of friction of 0.27. The novelty of this study lies in integrating alkali treatment and nano-SiO₂ reinforcement in Curauá/Areca hybrid composites to achieve superior strength and wear resistance, demonstrating a sustainable route for high-performing bio-composites.
Nanoengineered t-ZrO2 coatings for superior corrosion resistance on steel surfaces H. Mohamed Kasim Sheit, K. S. Mohan, N. Geetha, R. Lavanya, Karthik Kannan, S. Esakki Muthu, Manikandan Ayyar, Prabhu Paramasivam, Saravanan Rajendran, M. Santhamoorthy, S. Santhoshkumar, Ankush Mehta Scientific Reports, 2026 Corrosion of steel has several catastrophic consequences in various sectors. The inorganic nanoparticle-based anticorrosive coating on steel drew important attention to its large surface-to-volume ratio. The primary aim of this study is to synthesize and characterize t-ZrO 2 nanoparticles at an optimized annealing temperature and evaluate their structural, morphological, and optical properties. Additionally, the study investigates their effectiveness as a corrosion inhibitor for carbon steel in 1 M H 2 SO 4 . The study explores the cheap, facile, green synthesis of t-ZrO 2 nanoparticles (NPs) through bark extract from the gum arabic plant ( Acacia nilotica ) for anticorrosive coatings on carbon steel. X-ray diffraction (XRD) analysis confirms the tetragonal phase structure and the crystallite size, calculated using Scherrer’s formula, is found to be 8.1 nm. Fourier-transform infrared (FT-IR) spectroscopy reveals the presence of Zr-O bonding along with organic residues from plant extracts, confirming the formation of t-ZrO 2 NPs. Field emission scanning electron microscopy (FESEM) images confirm a rock stone-like structure, while energy dispersive X-ray (EDX) spectroscopy verifies the presence of Zr and O elements. The study further investigates the corrosion inhibition efficiency of t-ZrO 2 NPs on carbon steel in 1 M H 2 SO 4 . The atomic force microscopy (AFM) analyses reveal a smoother surface with reduced roughness in the presence of the inhibitor. Electrochemical measurements, including weight loss, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS), confirm a significant reduction in corrosion rate. The inhibition efficiency reaches 95.2% at 200 ppm of 0.2 M t-ZrO 2 NPs, with an increased charge transfer resistance (R ct ) of 14,715 Ω cm 2 and a reduced double-layer capacitance (C dl ) of 0.631 × 10⁸ F/cm 2 . These findings demonstrate that t-ZrO 2 NPs act as an effective corrosion inhibitor for carbon steel in acidic environments.
Predictive Modeling in Economics: The Role of AI and Deep Learning Senthilkumar Sakthivel, Talapa Reddy Suman Kumar, Prabhu Paramasivam, Arputharaj B.S., Prem Kumar Sholapurapu, Sheo Kumar Proceedings of the 2025 International Conference on Technology Enabled Economic Changes Intech 2025, 2025
Numerical analysis of energy dynamics in a bladeless turbine nozzle Malayathi Sivaramakrishnaiah, R Meenakshi Reddy, Annapurreddy Damodara Reddy, A Ravitheja, Prabhu Paramasivam, Mohamed Yusuf, Praveen Kumar Kanti International Journal of Low Carbon Technologies, 2025
Designing a suitable distillation column for ethyl alcohol recovery from a pharmaceutical plant effluent wastewater International Journal of Chemical and Biochemical Sciences, 2022
Optimization of WEDM Process Parameters in Al2024-Li-Si3N4MMC K. Raju, M. Balakrishnan, D. V. S. S. S. V. Prasad, V. Nagalakshmi, Pravin P. Patil, S. Kaliappan, B. Arulmurugan, K. Radhakrishnan, B. Velusamy, Prabhu Paramasivam, A. El-Denglawey Journal of Nanomaterials, 2022
Multi-response optimization of wire electrical discharge machining parameters for enhanced machinability of Ti-6Al-4 V alloy A Anand, G Anwer, SM Hasnain, P Paramasivam, LH Dabelo Discover Mechanical Engineering 5 (1), 49 , 2026 2026
Sustainable biodiesel from Mesua ferrea seed oil using explainable machine learning for engine performance evaluation and emission profiling P Paramasivam, A Hakami, AG Ayanie Scientific Reports , 2026 2026
Design and Experimental Validation of Mechanical Metamaterials Using 3D-Printed TPU for Biomechanical Applications Z Mezache, A Faci, DMS Afenyiveh, P Paramasivam, E Ali, SSM Ghoneim, ... Journal of Materials Engineering and Performance 35 (18), 17514-17526 , 2026 2026
2D-material-based bio sensing and optoelectronic platforms: recent progress and challenges MA Rahman, K Dharani, R Chatterjee, SM Hasnain, P Paramasivam, ... Discover Applied Sciences , 2026 2026
Sustainability and cost comparison of 33 kV overhead transmission lines and underground cables: a life cycle perspective MDF Ahmed, MA Rahman, P Paramasivam, M Yusuf, SMM Hasnain Scientific Reports , 2026 2026
Tri-domain prediction and optimization of nanocomposite polymers for high-performance 3D printing N Lakshmaiya, PHC Prasad, P Paramasivam, R Maranan, A Rajendran, ... Scientific Reports , 2026 2026
Parametric investigation of pinch-point constraints and thermal performance of CO₂-based refrigerant mixtures for electric-vehicle heat pumps under extreme ambient conditions P Paramasivam, K Alnamasi Applied Thermal Engineering, 130826 , 2026 2026
Benchmarking of Wind Power based on Data Predictability and Economic Analysis using Hybrid NARX Algorithm A Sanyal, AK Goswami, PK Tiwari, M Ahmed, P Paramasivam, E Ali, ... Results in Engineering, 110268 , 2026 2026
Unraveling the impact of pilot fuel injection pressure on hydrogen-diesel engine performance through PCA and RSM analysis AA Mohite, N Kumar, D De, BJ Bora, BJ Medhi, P Paramasivam, M Yusuf Scientific Reports , 2026 2026 Citations: 1
Combined Effect of Cetane Improver, Aluminum Oxide Nanoparticles, and Waste Cooking Oil Biodiesel Blend on a Dual Fuel Combustion Engine Run With Biogas Originated From Food Waste K Tudu, D Barik, SSR Chandran, P Paramasivam, N Ram, AG Ayanie Energy Science & Engineering 14 (3), 1372-1386 , 2026 2026
Automated slope stability assessment using modified Morgenstern-Price method and machine learning integration M Showkat, S Ghani, P Paramasivam, M Yusuf Scientific Reports , 2026 2026
Assessment of nitrate contamination and groundwater suitability in a hyper-arid region using GWQI, PCA, and geochemical tools I Radja, A Derdour, T Moussaoui, AS Almalki, P Paramasivam, ... Water Science and Technology , 2026 2026 Citations: 2
Microstructure, Residual Stresses, and Wear Behavior of SS316L and H13 Parts Manufactured by Laser Powder Bed Fusion Process KV Raghavulu, JS Panchagnula, CU Kiran, SR Chemarthi, A Padamurthy, ... Lasers in Manufacturing and Materials Processing, 1-22 , 2026 2026
AI based optimization of injection pressure for hydrogen and spirogyra biodiesel dual fuel engine to enhance combustion performance and emission characteristics S Aravind, D Barik, P Paramasivam, D Balasubramanian, U Kale, ... Scientific Reports , 2026 2026
Fracture and stability analysis of knee-braced column footings under eccentric loading using finite element modelling B Rath, TR Praveenkumar, G Amenu, P Paramasivam, M Yusuf Journal of Asian Architecture and Building Engineering, 1-21 , 2026 2026
Experimental investigation and optimization of mechanical and tribological performances of bio-based sustainable hybrid composites incorporating Nano-SiO₂ fillers G Velmurugan, JS Chohan, R Maranan, P Paramasivam, N Manikandan, ... Scientific Reports , 2026 2026 Citations: 2
Analysis and experimental implementation of affordable smart irrigation system using IoT to reduce agricultural costs and minimize water usage Y Boukri, HS Hamici, RF Mansour, AET Maamar, SSM Ghoneim, ... Applied Water Science 16 (2), 36 , 2026 2026 Citations: 6
Rheological and mechanical performance of sustainable LC3 concrete modified with nano-silica and rubber latex B Rath, TR Praveenkumar, KK Gupta, P Paramasivam, A Jayanthiladevi, ... Scientific Reports 16 (1), 3901 , 2026 2026
Response Surface Methodology‐Based Multiattribute Optimization of a Hydrogen‐Powered Dual‐Fuel Engines S Kumar, P Paramasivam, A Razak Machine Learning for Sustainable Energy Solutions, 115-138 , 2026 2026
Role of metakaolin and steel fiber on the relation of strength properties and abrasion resistance of concrete G Ghosh, AS Multani, PK Gupta, P Paramasivam, M Yusuf Journal of Asian Architecture and Building Engineering, 1-12 , 2026 2026 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Force‐deformation study on glass fiber reinforced concrete slab incorporating waste paper S Praburanganathan, N Sudharsan, Y Bharath Simha Reddy, ... Advances in Civil Engineering 2022 (1), 5343128 , 2022 2022 Citations: 157
Energy audit of a residential building to reduce energy cost and carbon footprint for sustainable development with renewable energy sources A Darshan, N Girdhar, R Bhojwani, K Rastogi, S Angalaeswari, ... Advances in civil engineering 2022 (1), 4400874 , 2022 2022 Citations: 146
Sustainable development of carbon nanocomposites: synthesis and classification for environmental remediation D Veeman, MV Shree, P Sureshkumar, T Jagadeesha, L Natrayan, ... Journal of Nanomaterials 2021 (1), 5840645 , 2021 2021 Citations: 139
An investigation of combined effect of infill pattern, density, and layer thickness on mechanical properties of 3D printed ABS by fused filament fabrication AP Agrawal, V Kumar, J Kumar, P Paramasivam, S Dhanasekaran, ... Heliyon 9 (6) , 2023 2023 Citations: 127
Experimental investigation on mechanical properties of glass fiber hybridized natural fiber reinforced penta‐layered hybrid polymer composite M Karthick, M Meikandan, S Kaliappan, M Karthick, S Sekar, PP Patil, ... International Journal of Chemical Engineering 2022 (1), 1864446 , 2022 2022 Citations: 127
Experimental investigation on mechanical properties of carbon nanotube‐reinforced epoxy composites for automobile application A Merneedi, L Natrayan, S Kaliappan, D Veeman, S Angalaeswari, ... Journal of Nanomaterials 2021 (1), 4937059 , 2021 2021 Citations: 113
Evolution and recent scenario of nanotechnology in agriculture and food industries MD Vijayakumar, GJ Surendhar, L Natrayan, PP Patil, PMB Ram, ... Journal of Nanomaterials 2022 (1), 1280411 , 2022 2022 Citations: 112
Energy auditing for efficient planning and implementation in commercial and residential buildings A Sendrayaperumal, S Mahapatra, SS Parida, K Surana, P Balamurugan, ... Advances in Civil Engineering 2021 (1), 1908568 , 2021 2021 Citations: 94
Experimental Investigation on Tribological Behaviour of AA6066: HSS‐Cu Hybrid Composite in Dry Sliding Condition T Sathish, L Natrayan, S Prasad Jones Christydass, S Sivananthan, ... Advances in Materials Science and Engineering 2022 (1), 9349847 , 2022 2022 Citations: 93
A review on solid oxide fuel cell technology: An efficient energy conversion system A Talukdar, A Chakrovorty, P Sarmah, P Paramasivam, V Kumar, ... International Journal of Energy Research 2024 (1), 6443247 , 2024 2024 Citations: 90
Structural behavior of nanocoated oil palm shell as coarse aggregate in lightweight concrete VS Nadh, C Krishna, L Natrayan, KM Kumar, KJNS Nitesh, GB Raja, ... Journal of Nanomaterials 2021 (1), 4741296 , 2021 2021 Citations: 84
An effective charger for plug‐in hybrid electric vehicles (PHEV) with an enhanced PFC rectifier and ZVS‐ZCS DC/DC high‐frequency converter G Kanimozhi, L Natrayan, S Angalaeswari, P Paramasivam Journal of Advanced Transportation 2022 (1), 7840102 , 2022 2022 Citations: 82
Tanning wastewater sterilization in Dark and Sunlight using Psidium guajava leaf-derived Copper Oxide Nanoparticles and their characteristics SD Natrayan L, Raviteja S, V.Swamy Nadh, Srinivas, Kaliappan S, Velmurugan G ... ACS Omega , 2023 2023 Citations: 77
Experimental Investigation to Utilize Adsorption and Absorption Technique to Reduce CO 2 Emissions in Diesel Engine Exhaust Using Amine Solutions SJ Muthiya, L Natrayan, S Kaliappan, PP Patil, BE Naveena, JA Dhanraj, ... Adsorption Science & Technology 2022, 9621423 , 2022 2022 Citations: 76
Synthesis and analysis of impregnation on activated carbon in multiwalled carbon nanotube for Cu adsorption from wastewater L Natrayan, PV Arul Kumar, JA Dhanraj, S Kaliappan, NS Sivakumar, ... Bioinorganic Chemistry and Applications 2022 (1), 7470263 , 2022 2022 Citations: 70
Mechanical characterization of aluminium alloy 6063 using destructive and non-destructive testing P Paramasivam, S Vijayakumar Materials Today: Proceedings 81, 965-968 , 2023 2023 Citations: 68
Comprehensive Characterization of Some Selected Biomass for Bioenergy Production PP Asmau MY, Adekunle AA, Nzerum P, Peter PI, Salihu A, Hauwa AR, Abdullahi ... ACS Omega , 2023 2023 Citations: 62
Groundwater for drinking and sustainable agriculture and public health hazards of nitrate: developmental and sustainability implications for an arid aquifer system B Bouselsal, A Satouh, JC Egbueri, MA Hashim, AA Arafat, ... Results in Engineering 25, 104160 , 2025 2025 Citations: 58
Multi-objective optimal scheduling of a microgrid using oppositional gradient-based grey wolf optimizer A Rajagopalan, K Nagarajan, OD Montoya, S Dhanasekaran, IA Kareem, ... Energies 15 (23), 9024 , 2022 2022 Citations: 58
GWO and WOA variable step MPPT algorithms-based PV system output power optimization A Zemmit, A Loukriz, K Belhouchet, YZ Alharthi, M Alshareef, ... Scientific Reports 15 (1), 7810 , 2025 2025 Citations: 57
