Items where Author is "Karuppanan, Saravanan"

Article

Vijaya Kumar, Suria Devi and Karuppanan, Saravanan and Perumal, Veeradasan and Ovinis, Mark (2024) Failure pressure prediction of high-strength steel pipe bend considering pipe and corrosion geometry. Discover Applied Sciences, 6 (4). ISSN 3004-9261

Vasudevan, Mugashini and Remesh, Sathaniswarman and Perumal, Veeradasan and Bothi Raja, Pandian and Mohamad Ibrahim, Mohamad Nasir and CB Gopinath, Subash and Lee, Hooi-Ling and Karuppanan, Saravanan and Ovinis, Mark and Arumugam, Natarajan and Suresh Kumar, Raju (2023) Lignin derived nanoparticle intercalation on nitrogen-doped graphene quantum dots for electrochemical sensing of cardiac biomarker. Microchemical Journal, 195. ISSN 0026-265X

Mugashini, Vasudevan and Veeradasan, Perumal and Pandian, Bothi Raja and Mohamad Nasir, Mohamad Ibrahim and Hooi-Ling, Lee and Subash, CB Gopinath and Ovinis, Mark and Karuppanan, Saravanan and Phaik Ching, Ang and Natarajan, Arumugam and Raju, Suresh Kumar (2023) A quadruplet 3-D laser scribed graphene/MoS2, functionalised N2-doped graphene quantum dots and lignin-based Ag-nanoparticles for biosensing. International Journal of Biological Macromolecules, 253. ISSN 0141-8130

Vasudevan, Mugashini and Remesh, Sathaniswarman and Perumal, Veeradasan and Raja, Pandian Bothi and Mohammad Ibrahim, Mohammad Nasir and Gopinath, Subash C. B. and Karuppanan, Saravanan and Ovinis, Mark (2023) Facile synthesis of MoS2 nanoflower-Ag NPs grown on lignin-derived graphene for Troponin I aptasensing. Chemical Engineering Journal, 468. p. 143613. ISSN 1385-8947

Vasudevan, Mugashini and Kanesan, Aiswarya and Remesh, Sathaniswarman and Perumal, Veeradasan and Raja, Pandian Bothi and Mohamad Ibrahim, Mohamad Nasir and Karuppanan, Saravanan and Gopinath, Subash C. B. and Ovinis, Mark (2023) Characterizations of synthesized laser scribed graphene/molybdenum disulfide (LSG/MoS2) hybrids for supercapacitor performance. Journal of Water and Environmental Nanotechnology, 8 (2). pp. 137-150. ISSN 2476-7204

Vijaya Kumar, Suria Devi and Karuppanan, Saravanan and Perumal, Veeradasan and Ovinis, Mark (2023) Failure Pressure Prediction of Corroded High-Strength Steel Pipe Elbow Subjected to Combined Loadings Using Artificial Neural Network. Mathematics, 11 (7). ISSN 2227-7390

Arumugam, Thibankumar and Vijaya Kumar, Suria Devi and Karuppanan, Saravanan and Ovinis, Mark (2023) The Influence of Axial Compressive Stress and Internal Pressure on a Pipeline Network: A Review. Applied Sciences, 13 (6). ISSN 2076-3417

Iqbal, Mohsin and Karuppanan, Saravanan and Perumal, Veeradasan and Ovinis, Mark and Rasul, Adnan (2023) Rehabilitation Techniques for Offshore Tubular Joints. Journal of Marine Science and Engineering, 11 (2). ISSN 2077-1312

Vasudevan, Mugashini and Perumal, Veeradasan and Karuppanan, Saravanan and Ovinis, Mark and Raja, Pandian Bothi and Gopinath, Subash C. B. and Edison, Thomas Nesakumar Jebakumar Immanuel (2022) A Comprehensive Review on Biopolymer Mediated Nanomaterial Composites and Their Applications in Electrochemical Sensors. Critical Reviews in Analytical Chemistry. ISSN 1040-8347

Vijaya Kumar, Suria Devi and Lo, Michael and Karuppanan, Saravanan and Ovinis, Mark (2022) Empirical Failure Pressure Prediction Equations for Pipelines with Longitudinal Interacting Corrosion Defects Based on Artificial Neural Network. Journal of Marine Science and Engineering, 10 (6). p. 764. ISSN 2077-1312

Vijaya Kumar, Suria Devi and Lo, Michael and Karuppanan, Saravanan and Ovinis, Mark (2022) Failure Pressure Prediction of Medium to High Toughness Pipe with Circumferential Interacting Corrosion Defects Subjected to Combined Loadings Using Artificial Neural Network. Applied Sciences, 12 (9). p. 4120. ISSN 2076-3417

Lo, Michael and Karuppanan, Saravanan and Ovinis, Mark (2022) ANN- and FEA-Based Assessment Equation for a Corroded Pipeline with a Single Corrosion Defect. Journal of Marine Science and Engineering, 10 (4). p. 476. ISSN 2077-1312

Vijaya Kumar, Suria Devi and Karuppanan, Saravanan and Ovinis, Mark (2022) Artificial Neural Network-Based Failure Pressure Prediction of API 5L X80 Pipeline with Circumferentially Aligned Interacting Corrosion Defects Subjected to Combined Loadings. Materials. ISSN 1996-1944

Vijaya Kumar, Suria Devi and Karuppanan, Saravanan and Ovinis, Mark (2022) An Artificial Neural Network-Based Equation for Predicting the Remaining Strength of Mid-to-High Strength Pipelines with a Single Corrosion Defect. Applied Sciences, 12 (3). p. 1722. ISSN 2076-3417

Sadeq, Safwan and Ovinis, Mark and Karuppanan, Saravanan (2022) Modeling and Simulation of PMSG Wind Energy Conversion System using Active Disturbance Rejection Control. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 92 (1). ISSN 2289 - 7879

Kumar, Suria Devi Vijaya and Karuppanan, Saravanan and Ovinis, Mark (2021) An empirical equation for failure pressure prediction of high toughness pipeline with interacting corrosion defects subjected to combined loadings based on artificial neural network. Mathematics, 9 (20). p. 2582. ISSN 2227-7390

Panjavarnam, Kesavan and Ovinis, Mark and Karuppanan, Saravanan (2021) A New Roll and Pitch Control Mechanism for an Underwater Glider. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 85 (1). ISSN 2289 - 7879

Kumar, Suria Devi Vijaya and Karuppanan, Saravanan and Ovinis, Mark (2021) Failure pressure prediction of high toughness pipeline with a single corrosion defect subjected to combined loadings using artificial neural network (ANN). Metals, 11 (2). p. 373. ISSN 2075-4701

Lo, Michael and Karuppanan, Saravanan and Ovinis, Mark (2021) Failure pressure prediction of a corroded pipeline with longitudinally interacting corrosion defects subjected to combined loadings using FEM and ANN. Journal of Marine Science and Engineering, 9 (3). p. 281. ISSN 2077-1312

Conference or Workshop Item

Iqbal, Mohsin and Karuppanan, Saravanan and Perumal, Veeradasan and Ovinis, Mark and Rasul, Adnan (2023) Numerical Investigation of Crack Mitigation in Tubular KT-Joints Using Composite Reinforcement. In: The 4th International Electronic Conference on Applied Sciences, 27th October - 10th November 2023, Online.