Sustainable Mesoporous Silica Nanoparticles from Groundnut Shells for High-Efficiency Cr(VI) Removal: Kinetics, Isotherms, and Mechanism Insights Shalini Kannan, K. Geetha, S. Mariaamalraj, K. Thavasilingam Chemical and Biochemical Engineering Quarterly, 2026 The increasing concentrations of toxic hexavalent chromium [Cr(VI)] in aquatic <br /> systems pose a major threat to human health and the environment, necessitating the development of high-performance, reasonably priced, and environmentally friendly adsorbents. Mesoporous silica nanoparticles (SiNPs) were synthesized from groundnut shell waste via alkaline extraction followed by acid precipitation, yielding 21 %. Amorphous, mesoporous silica with a high surface area (84.61 m² g–1) and a large number of silanol groups was confirmed by characterization (XRD, FTIR, SEM–EDS, and BET). Batch adsorption experiments revealed that the maximum Cr(VI) removal efficiency reached 92 % at pH 4, with an optimum equilibrium adsorption capacity (qₑ) of 4.5955 mg g–1. The process followed pseudo-second-order kinetics (R2 = 0.99) and the Freundlich isotherm model (R2 = 0.9826), indicating chemisorption. Surface complexation was confirmed by post-adsorption analyses, demonstrating the effectiveness the SiNPs as environmentally friendly adsorbents for wastewater treatment.
CFD simulation and performance analysis of a biomimetic pompeii worm-inspired thermal management system for EV battery packs K. Thavasilingam, Arundeep Murugan, S. Yuvaraj, R. Ravivarman, Kalimuthu Gopi Kannan, P. Seenikannan Discover Applied Sciences, 2026 Inspired by the thermotolerant cuticle morphology of the Pompeii worm (Alvinella pompejana), this study develops a biomimetic battery thermal management concept for lithium-ion cells (2.6 Ah, NMC) and assesses its performance against a straight-fin air-cooling baseline of equal footprint under forced-convection conditions. CFD is used to evaluate four fin configurations: no fins, rectangular, stepped, and the suggested biomimetic shape. The 2 C discharge is modelled as an equivalent constant heat-generation model; temperatures are the steady-state maximum cell-surface temperature (Tmax) unless otherwise indicated. The biomimetic design reduces the in-pack temperature spread towards the ≤ 5 °C design target, maintains Tmax within commonly recommended Li-ion operating bands (≈ 20–40 °C), and increases heat flux by 58% (7.3976 W m−2 at 2 C) in comparison to the straight-fin baseline under matched heat load and inlet conditions. In comparison to the straight-fin baseline, it reduces the cell-to-cell temperature spread (ΔT) by 82% within the EV-relevant 10–30 ms−1 airflow region. The area-averaged convective heat-transfer coefficient (h̄) is increased by 73% under the same conditions; the biomimetic geometry maintains ΔT at or below ~ 4 °C in contrast to stepped fins (ΔT ≈ 14.8 °C). In terms of practicality, the architecture is lightweight (about 1.8 kg as opposed to 4.2 kg for a comparable liquid loop) and performs almost independently of direction. In line with the observed improvements in thermal homogeneity and convective heat transfer, flow-field diagnostics demonstrate increased turbulent kinetic energy close to fin tips and cavities as well as improved secondary flows and local recirculation that encourage near-wall mixing.
Green synthesis of Brassica leaf extract bio composite coating on aluminium to enhance surface and mechanical properties for automotive applications Thavasilingam K., Sakthimurugan D., Ashok K. G., Devanand S. Journal of Adhesion Science and Technology, 2026 In this study, a green synthesized bio composite coating was developed using Brassica leaf extract, fumed silica, and epoxy resin for improving the surface, mechanical, and wear properties of aluminium substrates. The coating was prepared by mixing the Brassica leaf extract, fumed silica, and epoxy resin in a specific ratio. After that, spin coating instrument used to apply the coating to the aluminium substrate, and it was allowed to cure at room temperature. The mechanical and thermal properties of the coated aluminium substrate were characterized using various techniques. The findings indicate that the bio composite coatings had a density of 1.099 g/cm3 and a viscosity of 10880 cP, along with a consistent and smooth surface form. The flexural strength, micro-hardness and the lap shear strength of the coated aluminium substrate were 87 MPa and 77 shore-D and 15.30 MPa, respectively. The wear resistance was significantly improved with a Coefficient of Friction (COF) of 0.36. The glass transition temperature and mass decomposition temperature were 64 °C and 299 °C, respectively. The overall results of this study suggest that bio composite coating is a promising for improving the surface, mechanical, and wear properties of aluminium substrates in automotive applications.
AI-driven development of biodegradable flushable wet wipes from upcycled household organic waste: Formulation, performance, and predictive optimization Shalini Kannan, Thavasilingam Kannan, Muruga Boopathi Muthupandi, Karthi Marimuthu Nordic Pulp and Paper Research Journal, 2026 Innovative, sustainable alternatives are needed in light of the growing environmental concerns surrounding synthetic single-use wipes and the growing amount of organic waste generated in households. This study describes the creation and refinement of biodegradable flushable wet wipes made from recycled Fruit and Vegetable Waste (FVW) combined with naturally occurring antimicrobials such orange peel oil and Coleus amboinicus . Thermochemical pulping, sheet casting, and bio-lotion impregnation were used to create the wipes, which produced a plant-based matrix with encouraging structural and sanitary qualities. The wipes thermal stability, structural integrity, and moisture permeability were validated by physicochemical characterisation using FTIR, DSC, TGA, and WVTR analysis, making them appropriate for flushable use. Significant inhibitory zones against Pseudomonas aeruginosa , Escherichia coli , and Staphylococcus aureus were found in antimicrobial testing, exceeding commercial wipes. In order to forecast important performance outcomes based on material composition, a machine learning framework was also put into place. Fibre and phenolic content emerged as the main predictors for WVTR and antibacterial efficacy, while Random Forest models produced high predictive accuracy (R 2 >0.90). In order to enable scalable, low-impact bio-product creation, effort combines green chemistry, and artificial intelligence in a circular, data-driven approach to the production of eco-conscious hygiene products.
Advances in friction stir welding of titanium alloys: a comprehensive review Arumugam Perumal, Shanmugam Suresh Kumar, Rajaram Prithivirajan, Kannan Thavasilingam, Lakshmana Pandian Prakash Metallurgical Research and Technology, 2026 Titanium (Ti) alloys are widely used in industrial manufacturing, healthcare, transportation, and other sectors. However, due to significant variations in their physical and chemical properties when welded with other alloys, cracks are likely to develop in the joints, making it difficult to achieve stable welds. Key aspects of these processes include residual stresses, processing windows, temperature, material flow, welding tool wear, and design considerations. Particular emphasis is placed on the relationship between microstructure and resulting properties. This review aims to present current research and applications while providing a comprehensive overview of recent advancements in the welding and joining of titanium and light alloys. Various welding techniques such as fusion welding, brazing, friction welding, and reactive joining have been explored for titanium and light alloys. Among these, friction stir welding (FSW) of titanium alloys is the primary focus of this study, with special attention given to tool design, welding parameters, and weld strength.
Optimization of AA7075-SiC Composite Machining by WEDM Using Biosilica Additives Sakthimurugan D, Thavasilingam K, Arun Prasad Murali K, Praveen Kumar A, Praveenkumar Vijayakumar, Barath Kumar M D International Journal of Automotive and Mechanical Engineering, 2025 The study herein discusses the wire-cut electrical discharge machining (WEDM) with the addition of biosilica from maize cobs for the precision cutting of AA7075 aluminum and silicon carbide (SiC) metal matrix composites. The new and harmless addition of biosilica as a dielectric agent not only helps the sustainability of the process but also enhances surface quality and cutting speed. A Taguchi L9 design was used to carry out an experiment where the variation of peak current, gap voltage, and pulse-on time were studied in terms of their impact on material removal rate (MRR) and surface roughness (Ra). The optimal machining parameters were reached by applying Grey Relational Analysis along with artificial neural network (ANN). These model developments aimed to predict performance outcomes. The findings indicated that the dielectric fluid with biosilica increased MRR by 25% and simultaneously decreased Ra by 15% when compared with the typical dielectric. Surface uniformity improvement and microcrack formation reduction were confirmed through analysis by SEM and AFM. The artificial neural network model, which was trained using the backpropagation method on the experimental data, gave predictions on material removal rate and average roughness with a correlation of R² = 0.96, indicating that the model is very reliable. In conclusion, the present research not only reveals the non-conventional machining process but also gives an eco-friendly way for the optimization of wire EDM of metal matrix composites with nano-reinforcement.
Electrochemical machining K. Thavasilingam, D. Sakthimurugan, K. Giridharan, A. Praveen Kumar, P. Meenatchisundaram Advanced Machining and Micromachining Processes, 2025
Aluminum alloys for aircraft structures Thavasilingam K., Senthil Kumar A., Sakthimurugan D., Giridharan K. Aerospace Materials Novel Technologies and Practical Applications, 2025
Welding Power Source Technology D. Sakthimurugan, K. Thavasilingam, A. Praveen Kumar, K. Karthikeyan, K.K. Nagachandrika Advanced Welding Technologies, 2025
Modern Machining of Metal Matrix Composites Thavasilingam Kannan, Thiagarajan Srinivasan, Naga Chandrika Kondiboyana Kumari, Madhan Mohankumar, Santhosh Sivaraj Fundamentals and Advances in Metal Matrix Composites, 2025
Nonlinear thermal behavior prediction of biomimetic battery cooling systems using data-driven deep learning models A Tawfeeq Hussain, K Thavasilingam, D Sakthimurugan, ... Journal of Nonlinear, Complex and Data Science , 2026 2026
Green synthesis of Brassica leaf extract bio composite coating on aluminium to enhance surface and mechanical properties for automotive applications A KG Journal of Adhesion Science and Technology 40 (7), 1158-1178 , 2026 2026 Citations: 3
Energy absorption and mechanical strength prediction of 3D printed carbon nylon composite using box–behnken design KG Ashok, M Prashanth, K Thavasilingam, A Praveen Kumar, ... Journal of Polymer Research 33 (3), 75 , 2026 2026 Citations: 1
CFD simulation and performance analysis of a biomimetic pompeii worm-inspired thermal management system for EV battery packs K Thavasilingam, A Murugan, S Yuvaraj, R Ravivarman, K Gopi Kannan, ... Discover Applied Sciences 8 (2), 185 , 2026 2026 Citations: 1
High-performance Polymer Materials for Aeronautical Engineering Applications M Prashanth, K Thavasilingam, LA Kumaraswamidhas, KG Ashok, ... Nanocomposites for Defense, Aeronautical and Aerospace Applications, 23-51 , 2026 2026
Advances in friction stir welding of titanium alloys: a comprehensive review A Perumal, S Suresh Kumar, R Prithivirajan, K Thavasilingam, ... Metallurgical Research & Technology 123 (1), 112 , 2026 2026 Citations: 1
Future directions and emerging technologies of machine learning in additive manufacturing K Thavasilingam, D Sakthimurugan, KG Ashok, S Yuvaraj, A Perumal Additive Manufacturing of Smart Multifunctional Materials and Structures … , 2026 2026 Citations: 1
Smart materials and structure: principles and additive manufacturing D Sakthimurugan, K Thavasilingam, P Meenatchisundaram, KG Kannan Additive Manufacturing of Smart Multifunctional Materials and Structures, 1-10 , 2026 2026
Optimization of AA7075–SiC Composite Machining by WEDM Using Biosilica Additives D Sakthimurugan, K Thavasilingam, A Praveen Kumar, MD Barath Kumar International Journal of Automotive and Mechanical Engineering 22 (4), 13070 … , 2025 2025
Microstructural evolution and strengthening behavior of Al-Zr-(CeO 2 + Y 2 O 3 ) hybrid nanocomposites processed by mechanical alloying and hot pressing M Prashanth, LA Kumaraswamidhas, R Karunanithi, S Sivasankaran, ... JOURNAL OF ALLOYS AND COMPOUNDS 1048 , 2025 2025
Microstructural Evolution and Strengthening Behavior of Al–Zr–(CeO₂+ Y₂O₃) Hybrid Nanocomposites Processed by Mechanical Alloying and Hot Pressing M Prashanth, LA Kumaraswamidhas, R Karunanithi, S Sivasankaran, ... Journal of Alloys and Compounds, 185280 , 2025 2025
Tribological behaviour and wear mechanisms of titanium alloys in bio-medical applications K Thavasilingam, D Sakthimurugan, S Prasanna Raj Yadav, ... Challenges and Innovations in 3D Printed Bio-Organs and Their Materials, 209-221 , 2025 2025 Citations: 1
Artificial Intelligence and Machine Learning in Welding Technologies K Thavasilingam, K Giridharan, S Yuvaraj, K Gopi Kannan, M Prashanth Advanced Welding Technologies, 277-286 , 2025 2025 Citations: 1
Welding Power Source Technology D Sakthimurugan, K Thavasilingam, A Praveen Kumar, K Karthikeyan, ... Advanced Welding Technologies, 35-46 , 2025 2025
Electrochemical Machining K Thavasilingam, D Sakthimurugan, K Giridharan, A Praveen Kumar, ... Advanced Machining and Micromachining Processes, 115-125 , 2025 2025 Citations: 1
TAGUCHI-GREY OPTIMIZATION OF SURFACE ROUGHNESS AND MATERIAL REMOVAL RATE ON ELECTRO-DISCHARGE MACHINING OF NOVEL AA7075-TiO2 METAL MATRIX COMPOSITE USING WASTE CORNCOB … D Sakthimurugan, LAM Raj, VAA Raj, K Thavasilingam Surface Review and Letters 32 (1), 2450103 , 2025 2025
Sustainable Mesoporous Silica Nanoparticles from Groundnut Shells for High-Efficiency Cr (VI) Removal: Kinetics, Isotherms, and Mechanism Insights K Shalini, K Geetha, S Mariaamalraj, K Thavasilingam Chemical and Biochemical Engineering Quarterly 39 (4), 203-225 , 2025 2025
Aluminum alloys for aircraft structures K Thavasilingam, D Sakthimurugan, K Giridharan Aerospace Materials, 385-404 , 2025 2025 Citations: 23
Synthesis and characterization of fumed silica dispersed bees/carnauba wax-epoxy biocomposite coating: a comparative study K Thavasilingam, A Senthil Kumar, D Sakthimurugan, ... Biomass Conversion and Biorefinery 13 (8), 7375-7383 , 2023 2023 Citations: 13
Effect of fumed silica in rice bran wax-epoxy coating on aluminum substrate: mechanical, thermal, and water absorption properties K Thavasilingam, AS Kumar, MA Khan, S Devanand, K Giridharan Biomass Conversion and Biorefinery 13 (5), 4229-4240 , 2023 2023 Citations: 10
MOST CITED SCHOLAR PUBLICATIONS
Aluminum alloys for aircraft structures K Thavasilingam, D Sakthimurugan, K Giridharan Aerospace Materials, 385-404 , 2025 2025 Citations: 23
Synthesis and characterization of fumed silica dispersed bees/carnauba wax-epoxy biocomposite coating: a comparative study K Thavasilingam, A Senthil Kumar, D Sakthimurugan, ... Biomass Conversion and Biorefinery 13 (8), 7375-7383 , 2023 2023 Citations: 13
Effect of fumed silica in rice bran wax-epoxy coating on aluminum substrate: mechanical, thermal, and water absorption properties K Thavasilingam, AS Kumar, MA Khan, S Devanand, K Giridharan Biomass Conversion and Biorefinery 13 (5), 4229-4240 , 2023 2023 Citations: 10
Effect of fumed silica in rice bran wax-epoxy coating on aluminum substrate: mechanical, thermal, and water absorption properties. Biomass Conv. Bioref. 13, 4229–4240 (2023) K Thavasilingam, A Senthil Kumar, M Adam Khan, S Devanand, ... 2021 Citations: 6
Green synthesis of Brassica leaf extract bio composite coating on aluminium to enhance surface and mechanical properties for automotive applications A KG Journal of Adhesion Science and Technology 40 (7), 1158-1178 , 2026 2026 Citations: 3
Experimental assessment on the contact characteristics of 3D printed flexible poly lactic acid (PLA) soft fingertips S Yuvaraj, K Venkatesh Raja, M Bakkiyaraj, R Malayalamurthi, ... International Journal of Materials Research 113 (12), 1033-1044 , 2022 2022 Citations: 3
Energy absorption and mechanical strength prediction of 3D printed carbon nylon composite using box–behnken design KG Ashok, M Prashanth, K Thavasilingam, A Praveen Kumar, ... Journal of Polymer Research 33 (3), 75 , 2026 2026 Citations: 1
CFD simulation and performance analysis of a biomimetic pompeii worm-inspired thermal management system for EV battery packs K Thavasilingam, A Murugan, S Yuvaraj, R Ravivarman, K Gopi Kannan, ... Discover Applied Sciences 8 (2), 185 , 2026 2026 Citations: 1
Advances in friction stir welding of titanium alloys: a comprehensive review A Perumal, S Suresh Kumar, R Prithivirajan, K Thavasilingam, ... Metallurgical Research & Technology 123 (1), 112 , 2026 2026 Citations: 1
Future directions and emerging technologies of machine learning in additive manufacturing K Thavasilingam, D Sakthimurugan, KG Ashok, S Yuvaraj, A Perumal Additive Manufacturing of Smart Multifunctional Materials and Structures … , 2026 2026 Citations: 1
Tribological behaviour and wear mechanisms of titanium alloys in bio-medical applications K Thavasilingam, D Sakthimurugan, S Prasanna Raj Yadav, ... Challenges and Innovations in 3D Printed Bio-Organs and Their Materials, 209-221 , 2025 2025 Citations: 1
Artificial Intelligence and Machine Learning in Welding Technologies K Thavasilingam, K Giridharan, S Yuvaraj, K Gopi Kannan, M Prashanth Advanced Welding Technologies, 277-286 , 2025 2025 Citations: 1
Electrochemical Machining K Thavasilingam, D Sakthimurugan, K Giridharan, A Praveen Kumar, ... Advanced Machining and Micromachining Processes, 115-125 , 2025 2025 Citations: 1
Static analysis of a C-channel robot gripper arm using finite element analysis D Sakthimurugan, L Antony Michael Raj, V Antony Aroul Raj, R Balaji, ... Innovative Design, Analysis and Development Practices in Aerospace and … , 2020 2020 Citations: 1
Nonlinear thermal behavior prediction of biomimetic battery cooling systems using data-driven deep learning models A Tawfeeq Hussain, K Thavasilingam, D Sakthimurugan, ... Journal of Nonlinear, Complex and Data Science , 2026 2026
High-performance Polymer Materials for Aeronautical Engineering Applications M Prashanth, K Thavasilingam, LA Kumaraswamidhas, KG Ashok, ... Nanocomposites for Defense, Aeronautical and Aerospace Applications, 23-51 , 2026 2026
Smart materials and structure: principles and additive manufacturing D Sakthimurugan, K Thavasilingam, P Meenatchisundaram, KG Kannan Additive Manufacturing of Smart Multifunctional Materials and Structures, 1-10 , 2026 2026
Optimization of AA7075–SiC Composite Machining by WEDM Using Biosilica Additives D Sakthimurugan, K Thavasilingam, A Praveen Kumar, MD Barath Kumar International Journal of Automotive and Mechanical Engineering 22 (4), 13070 … , 2025 2025
Microstructural evolution and strengthening behavior of Al-Zr-(CeO 2 + Y 2 O 3 ) hybrid nanocomposites processed by mechanical alloying and hot pressing M Prashanth, LA Kumaraswamidhas, R Karunanithi, S Sivasankaran, ... JOURNAL OF ALLOYS AND COMPOUNDS 1048 , 2025 2025
Microstructural Evolution and Strengthening Behavior of Al–Zr–(CeO₂+ Y₂O₃) Hybrid Nanocomposites Processed by Mechanical Alloying and Hot Pressing M Prashanth, LA Kumaraswamidhas, R Karunanithi, S Sivasankaran, ... Journal of Alloys and Compounds, 185280 , 2025 2025
