DEVANAND S

@sethu.ac.in

Associate Professor/ Mechanical Engineering
Sethu Institute of Technology

DEVANAND S


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https://researchid.co/devanandsmp

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Mechanics of Materials, Multidisciplinary, Engineering
8

Scopus Publications

26

Scholar Citations

3

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • 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.
  • Synthesis and Mechanical Properties of HAp/SiO2/PLA Composite Derived from Goat Jawbone
    Tharumar Gangadharan, Chockalingam Palanisamy, Gurusamy Duraipandian Sivakumar, Veillan Ramachandran, Devanand Selvakumar, Ervina Efzan Mohd Noor
    Engineering Technology and Applied Science Research, 2025
    Biomaterials like nano-hydroxyapatite (nHAp) closely mimic the mineral makeup of real bones. This research is centered around the synthesis of nHAp (Ca₁₀(PO₄)₆(OH)₂) using goat jawbone. After being ball-milled for 4 hr at 150 rpm, the bone underwent a 10 °C/min controlled rate heat treatment to 300 °C, 600 °C, 900 °C, 1000 °C, and 1200 °C. With a lattice strain ranging from ε = 91.49 to 12.16, the nHAp crystallite size varied between 3.61 nm and 21.87 nm when measured using the Scherrer method and 1.41 nm and 14.16 nm when measured using the Williamson-Hall method while a porosity range of 81.5% to 84.5% of the nHAp derived from goat jawbone was observed. The composite's mechanical properties were enhanced by adding bio-inert ceramics SiO₂, which helped overcome the nHAp's poor fracture toughness and lack of flexibility. Composites of HAp, SiO₂, and PLA with different weight percentages were created using the co-precipitation technique. In order to characterize the material, X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM) were used to analyze its structure and morphology. The made composites had a compressive strength of 43.26 MPa and porosity ranging from 78.65% to 85.25%.
  • Cybersecurity Automation Using Capsule Networks for Adaptive Threat Detection and Defense
    Ediga Poornima, S. Devanand, Haeedir Mohameed, R. Shirisha, D. Rahul, Aanandha Saravanan K
    2025 International Conference on Computational Innovations and Engineering Sustainability Iccies 2025, 2025
    In recent years, network security research has focused on using deep learning for malware detection. Conventional deep learning models like CNNs have minimal generalizability, little feature extraction, and great complexity. These constraints apply to traditional deep learning. CNNbased models that don't store feature hierarchies lose spatial connectivity information to detect dangerous network traffic patterns. They lose information about a feature's precise placement in the feature area. Malware files often have recognizable portions. This study presents an Adaptive Cybersecurity Automation using Capsule Networks (ACA-CapNet) to intelligently identify and defend against cyber threats and tackle these difficulties. This paper presents a new approach to intrusion detection using capsule networks with hyper-parameter-tuned convolutional layers. The method is based on the idea of anomaly detection in the field of network security. It aims to overcome the limitations of traditional deep learning models by eliminating the need for a pooling layer and introducing capsule layers. The first step is to create a structured feature representation from the network traffic data. Next, a capsule network based on dynamic routing is employed to identify and categorize the network anomalies correctly. With an accuracy of 95.21% and an F1 score of 94.2%, CapsNet outperformed the baseline CNN on the same data set. These results demonstrate that the suggested model effectively detects cyberattacks and can adapt to detect many cyberattacks within network security.
  • Qualitative Analysis of the Student Perspectives on AnaVu - A Three-dimensional Stereoscopic Neuroanatomy Visualization Tool
    Nithin Kadakampallil Raju, Doris George Yohannan, Aswathy Maria Oommen, Amruth S. Kumar, S. Devanand, U. T. Minha Resivi, Navya Sajan, Neha Elizabeth Thomas, Nasreen Anzer, Bejoy Thomas, Jayadevan Enakshy Rajan, Umesan Kannanvilakom Govindapillai, Pawan Harish, Tirur Raman Kapilamoorthy, Chandrasekharan Kesavadas, Jayanthi Sivaswamy
    National Journal of Clinical Anatomy, 2025
    Background: Prior research by the authors studied the objective impact on medical students’ academic course, the perceived cognitive load, quantified subjective feedback while teaching using AnaVu, a low resource stereoscopic projection system. The qualitative data from opinions, and comparative educational results reported by undergraduate medical students following their participation in stereoscopic (AnaVu) and monoscopic learning sessions are explored in this study. This study was done to evaluate and compare the effectiveness of stereoscopic and monoscopic teaching methods in enhancing spatial understanding of anatomical structures among first-year undergraduate medical students using AnaVu. Methodology: This research study was conducted as a three-limb randomized controlled trial. Among those who provided informed consent, a sample of MBBS students from the 2022 cohort was chosen at random. Following a one-hour brainstem introduction lecture and a dissection session, students were assigned at random to one of three groups: S for stereo; M for mono; or C for control. A 20-minute stereoscopic demonstration of the brainstem module in AnaVu has been delivered to S. The identical presentation, albeit in monoscopic mode, was delivered to M. Diagrams drawn on a whiteboard were used to instruct the C group. Pre-intervention and post-intervention tests were given in four domains: basic recall, analytical, radiological anatomy and diagram-based questions. Finally, the groups were swapped – S→M, M→S and C→S, and they were asked to compare the modes. Data were processed using RQDA (R package for Qualitative Data Analysis). Theme identification and analysis of the qualitative data was done using the thematic analysis. Results: 152 students participated in the study. Five themes and fourteen subthemes were identified. General advantages included size comparisons, software features, and improved attention, while specific benefits for learning radiological and sectional anatomy were noted. Disadvantages included eye strain, software glitches, costs, and concerns about teacher adaptation. Conclusion: The findings of this study emphasize the potential of AnaVu in enhancing anatomical and radiological education, while highlighting key disadvantages to help teachers and students make informed choices between stereo and mono display methods.
  • “Visualization matters” – stereoscopic visualization of 3D graphic neuroanatomic models through AnaVu enhances basic recall and radiologic anatomy learning when compared with monoscopy
    Doris George Yohannan, Aswathy Maria Oommen, Amruth S. Kumar, S. Devanand, Minha Resivi UT, Navya Sajan, Neha Elizabeth Thomas, Nasreen Anzer, Nithin Kadakampallil Raju, Bejoy Thomas, Jayadevan Enakshy Rajan, Umesan Kannanvilakom Govindapillai, Pawan Harish, Tirur Raman Kapilamoorthy, Chandrasekharan Kesavadas, Jayanthi Sivaswamy
    BMC Medical Education, 2024
    BACKGROUND: The authors had previously developed AnaVu, a low-resource 3D visualization tool for stereoscopic/monoscopic projection of 3D models generated from pre-segmented MRI neuroimaging data. However, its utility in neuroanatomical education compared to conventional methods (specifically whether the stereoscopic or monoscopic mode is more effective) is still unclear. METHODS: A three-limb randomized controlled trial was designed. A sample (n = 152) from the 2022 cohort of MBBS students at Government Medical College, Thiruvananthapuram (GMCT), was randomly selected from those who gave informed consent. After a one-hour introductory lecture on brainstem anatomy and a dissection session, students were randomized to three groups (S - Stereo; M - Mono and C - Control). S was given a 20-min demonstration on the brainstem lesson module in AnaVu in stereoscopic mode. M was given the same demonstration, but in monoscopic mode. The C group was taught using white-board drawn diagrams. Pre-intervention and post-intervention tests for four domains (basic recall, analytical, radiological anatomy and diagram-based questions) were conducted before and after the intervention. Cognitive loads were measured using a pre-validated tool. The groups were then swapped -S→ M, M →S and C→S, and they were asked to compare the modes. RESULTS: For basic recall questions, there was a statistically significant increase in the pre/post-intervention score difference of the S group when compared to the M group [p = 0.03; post hoc analysis, Bonferroni corrections applied] and the C group [p = 0.001; ANOVA test; post hoc analysis, Bonferroni corrections applied]. For radiological anatomy questions, the difference was significantly higher for S compared to C [p < 0.001; ANOVA test; post hoc analysis, Bonferroni corrections applied]. Cognitive load scores showed increased mean germane load for S (33.28 ± 5.35) and M (32.80 ± 7.91) compared with C (28.18 ± 8.17). Subjective feedbacks showed general advantage for S and M compared to C. Out of the S and M swap cohorts, 79/102 preferred S, 13/102 preferred M, and 6/102 preferred both. CONCLUSIONS: AnaVu tool seems to be effective for learning neuroanatomy. The specific advantage seen when taught with stereoscopy in basic recall and radiological anatomy learning shows the importance of how visualization mode influences neuroanatomy learning. Since both S and M are preferred in subjective feedbacks, these results have implications in choosing methods (stereoscopic - needs 3D projectors; monoscopic - needs web based or hand-held devices) to scale AnaVu for anatomy teaching in medical colleges in India. Since stereoscopic projection is technically novel and cost considerations are slightly higher compared to monoscopic projection, the specific advantages and disadvantages of each are relevant in the Indian medical education scenario.
  • Effect of fumed silica in rice bran wax-epoxy coating on aluminum substrate: mechanical, thermal, and water absorption properties
    K. Thavasilingam, A. Senthil Kumar, M. Adam Khan, S. Devanand, K. Giridharan
    Biomass Conversion and Biorefinery, 2023
  • Influence of Severe Double-Shot Peening and Plasma Spray Arc TiAlCr /AlCrSi Coating on Tribological Behaviour of Pure Aluminium Alloy
    S. Devanand, A. Senthil Kumar, R. Selvabharathi
    Journal of Inorganic and Organometallic Polymers and Materials, 2022
  • Author Correction: Influence of Severe Double‑Shot Peening and Plasma Spray Arc TiAlCr/AlCrSi Coating on Tribological Behaviour of Pure Aluminium Alloy (Journal of Inorganic and Organometallic Polymers and Materials, (2022), 32, 12, (4729-4742), 10.1007/s10904-022-02429-3)
    S. Devanand, A. Senthil Kumar, R. Selvabharathi
    Journal of Inorganic and Organometallic Polymers and Materials, 2022

RECENT SCHOLAR PUBLICATIONS

  • 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 Investigation of Heat Transfer Enhancement using Nanofluids in a Heat Exchanger
    R Karthik, KR Kavitha, DRL Dhevi, DS Devanand, DBA Shingade
    MSW MANAGEMENT-Multidisciplinary, Scientific Work and Management Journal 36 … , 2026
    2026
  • Synthesis and Mechanical Properties of HAp/SiO₂/PLA Composite Derived from Goat Jawbone
    T Gangadharan, C Palanisamy, GD Sivakumar, V Ramachandran, ...
    Engineering, Technology & Applied Science Research 15 (4), 24159-24167 , 2025
    2025
    Citations: 1
  • Cybersecurity Automation Using Capsule Networks for Adaptive Threat Detection and Defense
    E Poornima, S Devanand, H Mohameed, R Shirisha, D Rahul
    2025 International Conference on Computational Innovations and Engineering … , 2025
    2025
    Citations: 1
  • 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
  • Author Correction: Influence of Severe Double‑Shot Peening and Plasma Spray Arc TiAlCr/AlCrSi Coating on Tribological Behaviour of Pure Aluminium Alloy
    S Devanand, AS Kumar, R Selvabharathi
    Journal of Inorganic and Organometallic Polymers and Materials 32 (12), 4743 … , 2022
    2022
  • Influence of severe double-shot peening and plasma spray arc TiAlCr/AlCrSi coating on tribological behaviour of pure aluminium alloy
    S Devanand, A Senthil Kumar, R Selvabharathi
    Journal of Inorganic and Organometallic Polymers and Materials 32 (12), 4729 … , 2022
    2022
    Citations: 5
  • 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
  • A Review and Investigation on Carbon Fiber with Hybrid Nano Composites
    SD R. Madhavan K. Thavasilingam, V. Ramachandran, G. Satheesh Kumar
    International Journal of Applied Engineering Research 10 (28), 21973-21978 , 2015
    2015
  • Analysis of Plant Layout in the Zinc Phosphating Plant
    SD A. Senthil Kumar
    International Organization of Scientific Research 3, 01-08 , 2014
    2014

MOST CITED SCHOLAR PUBLICATIONS

  • 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
  • Influence of severe double-shot peening and plasma spray arc TiAlCr/AlCrSi coating on tribological behaviour of pure aluminium alloy
    S Devanand, A Senthil Kumar, R Selvabharathi
    Journal of Inorganic and Organometallic Polymers and Materials 32 (12), 4729 … , 2022
    2022
    Citations: 5
  • 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
  • Synthesis and Mechanical Properties of HAp/SiO₂/PLA Composite Derived from Goat Jawbone
    T Gangadharan, C Palanisamy, GD Sivakumar, V Ramachandran, ...
    Engineering, Technology & Applied Science Research 15 (4), 24159-24167 , 2025
    2025
    Citations: 1
  • Cybersecurity Automation Using Capsule Networks for Adaptive Threat Detection and Defense
    E Poornima, S Devanand, H Mohameed, R Shirisha, D Rahul
    2025 International Conference on Computational Innovations and Engineering … , 2025
    2025
    Citations: 1
  • Experimental Investigation of Heat Transfer Enhancement using Nanofluids in a Heat Exchanger
    R Karthik, KR Kavitha, DRL Dhevi, DS Devanand, DBA Shingade
    MSW MANAGEMENT-Multidisciplinary, Scientific Work and Management Journal 36 … , 2026
    2026
  • Author Correction: Influence of Severe Double‑Shot Peening and Plasma Spray Arc TiAlCr/AlCrSi Coating on Tribological Behaviour of Pure Aluminium Alloy
    S Devanand, AS Kumar, R Selvabharathi
    Journal of Inorganic and Organometallic Polymers and Materials 32 (12), 4743 … , 2022
    2022
  • A Review and Investigation on Carbon Fiber with Hybrid Nano Composites
    SD R. Madhavan K. Thavasilingam, V. Ramachandran, G. Satheesh Kumar
    International Journal of Applied Engineering Research 10 (28), 21973-21978 , 2015
    2015
  • Analysis of Plant Layout in the Zinc Phosphating Plant
    SD A. Senthil Kumar
    International Organization of Scientific Research 3, 01-08 , 2014
    2014