Exploration of one-dimensional TiO2 for efficient electron transporting layer Jolly Mathew, S. Purushothaman, C. Gnanavel, Shyju Thankaraj Salammal EPJ Web of Conferences, 2026 This study explores the parameters that, regulate and impact the crystallization process and morphology of electron-transporting layers, thereby enhancing photovoltaic performance. We developed a vertically aligned TiO 2 nanotubes (TiNTs) electron transporting layer to facilitate electron extraction from an absorber and to inhibit recombination between electrons in the fluorine-doped tin oxide and metal Ti. The electron transporting layer is essential for photon-to-electron conversion. This abstract presents the development of an electron transporting layer through sputtering followed by anodization at different potential. The key characterization techniques were employed to study the structural and optoelectronic properties. The anodization method has been utilized to develop TiO 2 nanostructured electron transport layers, studied the high optical transmittance (70-80%), anatase crystalline structure, the corresponding vibration Eg(145cm -1 ), B 1g (397cm -1 ) and an extensive surface area. The oxidation states were performed using XPS analysis. To ensure uniform thickness, sputtering parameters were optimized to regulate the thickness of the electron transport layer, resulting in effective electron extraction and hole blocking in thin film solar cell. This study emphasizes the significance of ETL geometry in optimizing device performance especially for photovoltaic applications.
Optimization and CFD Analysis in Divergent Exhaust Diffuser Geometries for Maximum Coefficient of Pressure Recovery in Gas Turbine Engines Purushothaman Srinivasan, Umme Thayyiba Khatoon, T. Vinod Kumar, J. Kumaraswamy, K.M. Praveena Kumara, A. Lalitha Saravanan, C. Gnanavel, Kondwani Kachamba Ngwira EPJ Web of Conferences, 2026 This study aims to develop and evaluate models of a gas turbine engine's divergent exhaust diffuser to determine the configuration that maximizes the Coefficient of Pressure Recovery (CPR). Various diffuser geometries are explored, focusing on parameters such as half cone angle, intake diameter, outlet diameter, and diverging outlet diameter. Using the Ansys workbench, divergent exhaust diffusers are modeled with half cone angles of 7°, intake diameters ranging from 120 mm to 140 mm in 5 mm increments, and outlet diameters of 252.25 mm and 210.75 mm. Computational fluid dynamics (CFD) models are performed in ANSYS Fluent to analyze static pressure and exit velocity, from which the CPR is find for each configuration. Theoretical values from Bernoulli's and continuity equation checked with the CFD results. The geometry that produces the highest CPR will identified to optimize the performance of divergent exhaust diffuser, thereby enhancing the turbine's power and efficiency.
Optimization of Super Plastic forming process parameters of Al 6061 alloy reinforced with SiC nano composites by Taguchi method K. Saravanakumar, Vijay Ananth Suyamburajan, Purushothaman Srinivasan, K. Pravinkumar, K.M. Praveena Kumara, Hanamant Yaragudri, C. Gnanavel, Amanda Billy Berto Madison EPJ Web of Conferences, 2026 This study investigates the optimization of superplastic forming in aluminum alloy 6061 reinforced with 100 nm silicon carbide (SiC) nanoparticles, fabricated by use of the ultrasonic cavitation technique. The formed composite was subjected to superplastic forming tests, achieving a maximum dome height of 21 mm. Key parameters, including pressure 2 MPa, 4 Mpa and 6 Mpa, temperature (560°C, 580°C and 600°C), and time 15, 30, and 45 minutes, were systematically varied. To identify the optimal process parameters, a Taguchi L9 experimental design was employed, facilitating a comprehensive examination of these factors' effects on the forming performance. The findings provide valuable insights for enhancing the superplastic forming process in aluminum-SiC composite materials.
MACHINE LEARNING-BASED PREDICTION OF SURFACE CHARACTERISTICS AND TOOL WEAR IN Mg–AZ91D MILLING UNDER DISTINCT CONDITIONS Z. A. AMJATH, R. GANESA MOORTHY, K. S. ASHRAFF ALI, C. GNANAVEL Surface Review and Letters, 2025 As industries seek greener alternatives to mineral oil-based cutting fluids due to their negative environmental impact, vegetable oils emerge as promising substitutes. Their biodegradable and nontoxic properties make them particularly suitable for machining operations. This study investigates the impact of different lubrication and cooling (L/C) methods on machined surfaces and machining parameters to develop sustainable milling practices for Mg-AZ91D. Effective L/C is crucial in regulating heat and friction to enhance product quality. Experimental milling trials involving dry, minimum quantity lubrication (MQL), and solid lubricant (SL) with MQL were conducted on Mg-AZ91D. Results show that under SL-MQL conditions, surface roughness (Ra) was significantly lower (by 49–70%) compared to dry conditions and marginally lower (by 8–13%) than with MQL alone. Additionally, machine learning (ML) algorithms were employed for predictive modeling, including linear regression (LR), support vector machine (SVM), and Random Forest (RF). These models were compared using performance metrics such as [Formula: see text], MAE, RMSE, RAE, and RRSE. The RF algorithm demonstrated the best results in predicting surface characteristics, exhibiting notably higher [Formula: see text] scores and performance metrics. Conversely, SVM outperformed other algorithms in predicting tool wear. The ML models revealed that cooling conditions had a greater impact on output milling parameters compared to other input variables.
Analysis of Wind Driven Permanent Magnet Synchronous Generator for Power Grid System R. Essaki Raj, N. Vasudevan, S. Srinivasan, T. Abirami, R. Pandian, C. Gnanavel, N. Parkunam, R. Srinivasan, Dejene Hurissa International Transactions on Electrical Energy Systems, 2025 A permanent magnet synchronous generator (PMSG) is commonly utilized in many wind energy conversion systems (WECS). The main advantage of PMSG is variable‐speed operation, and it can be connected directly to the turbine without a gearbox. In this paper, a PMSG is employed to convert wind energy into electrical energy and transmit it to a load through an AC‐DC‐AC converter. This circuit is modelled and simulated with the help of MATLAB simulation software, and the corresponding results are presented. The proposed method is suitable for microwind turbine applications to minimize landscape and connect PMSGs in parallel for better performance.
An experimental investigation of fuzzy-based voltage-lift multilevel inverter using solar photovoltaic application Smart Grids and Green Energy Systems, 2022
An Experimental and Investigation on Asymmetric Modular Multilevel Inverter an Approach with Reduced Number of Semiconductor Devices Journal of Electrical Systems, 2022
Experimental investigation of hybrid battery/super capacitor energy storage system for electric vehicles International Journal of Advanced Science and Technology, 2020
The effect of lamina stacking sequence and notch angle on the impact behaviour of hybrid composite International Journal of Mechanical and Production Engineering Research and Development, 2018
Numerical exploration of influence of phase changing material in heat transfer augmentation in the double tube eat exchanger International Journal of Engineering and Technology Uae, 2018
A performance investigation of a single phase multilevel inverter fed nonlinear loads for solar PV applications International Journal of Engineering and Technology Uae, 2018
