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Original Research
20-Apr-2026
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Synergistic Effect of Green Nanofillers on Basalt–Kenaf Reinforced Sustainable Polymer Composites

By
V Ravi Raj, M Dharani, S Karthick, G Ashwin Prabhu, R B Senthilrajan, R. Karthikeyan, Jeriel Samuel J, Madhan Kumar D,

Abstract: This study examines the synergistic impact of green nanofillers on the mechanical and structural properties of basalt–kenaf fiber reinforced polyester composites, with the objective of developing sustainable, high-performance polymer materials. The


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Original Research
20-Apr-2026
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Enhancing Mechanical Performance in Reinforced Hybrid Composites using Silicon Carbide and Aluminium Oxide Fillers

By
G Ashwin Prabhu, G M Lionus Leo, Arun M, Karthick Rasu, K Gnanasekaran, Ramesh Krishnan, Varun K S, M Veerakumaran,

Abstract: Hybrid composites are becoming useful because they have better qualities than regular composites. This study examines the conventional properties of composites that utilise SiC and Al2O3 as filler components. Kevlar, S-glass, and sisal fibers at 90°


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Original Research
20-Apr-2026
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Experimental and Simulation Study on Reduction Kinetics of Magnetite Ore by using Hydrogen

By
Vimal Sharma, Sanjeev Kumar Sarswat, Rakesh Prasad*,

Abstract: In the present work, magnetite ore fines pellets were prepared for a study of reduction kinetics using hydrogen gas. In the present work, various parameters are investigated to assess their influence on reduction kinetics with respect to hydrogen


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Original Research
20-Apr-2026
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THERMAL AND ELECTRICAL PERFORMANCE OF ALUMINUM-REINFORCED GFRP COMPOSITES

By
G Ashwin Prabhu, M Babu, S Prathap Singh, Jagadeesh Bommisetty, Ramya R, Vaddi Seshagiri Rao, Prithvi A, Mohammed Ziberel S,

Abstract: This work examines an economical approach to improve the thermal load protection of Glass Fiber Reinforced Polymer (GFRP) composites, commonly utilized in aircraft constructions, pressure containers, and electrical insulators. Notwithstanding their


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Original Research
20-Apr-2026
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites

By
Harish Reddy Gantla, Harish Chandra Mohanta, Deepika Singh Singraur, Sandeep Bansal, Varinder Singh, Pacha Supriya,

Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency


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Review Article
05-Apr-2026
Regular Issue  Subscription Review Article Published on :- 05-Apr-2026

Progress in the Chemistry of C-Glycosylation in Carbohydrates

By
Samta Singh, Avinash Tiwari*,

Abstract: Glycosylation is an intricate biochemical process where a glycosyl donor and a glycosyl acceptor are combined to form a glycoside. This process involves the creation of new stereogenic centers at the anomeric site of the glycosyl donor, leading to


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Original Research
20-Apr-2026
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures

By
Seemanthini K, Medikonda Swapna, Abrar Ahmed Syed, Swarna Kuchibhotla, Pritam Paul, Sivabalakrishnan R,

Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion.


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Original Research
20-Apr-2026
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites

By
Dillip Kumar Mohanta, M Khaleel Ullah Khan, Subhajeet Das, Nitish Kumar Choudhary, Rahat Naz, Vishwesh Nagamalla,

Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during


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Review Article
20-Apr-2026
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Very Short-Term Load Forecasting Using Gaussian Process Regression

By
Karan Sati, Dr. Abhishek Yadav,

Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data


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Review Article
20-Apr-2026
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Analysis of Power Quality Disturbances in Distribution Systems with Renewable Energy Integration

By
Mohammed Nadeem Iqbal, Asini Kumar Baliarsingh, Pratap Sekhar Puhan,

Abstract: The growing integration of renewable energy sources within the electrical distribution systems has greatly altered the working dynamics of the contemporary power grids. The introduction of intermittent and nonlinear sources (solar photovoltaic and