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Original Research
11-May-2026
Ahead of Print  Subscription Original Research Published on :- 11-May-2026

Enhancement of Mechanical and Tribological Properties of Aluminum-Titanium Carbide (Al-TiC) Metal Matrix Composites via Powder Metallurgy

By
Kopanathi Manish, Kotthapalli Karthik, Priyaranjan Samal, S. Ramesh Kumar,

Abstract: Metal matrix composites (MMCs) have emerged as a result of the increasing need for sophisticated lightweight materials with exceptional mechanical and tribological qualities. For structural and wear-critical applications, aluminum-based composites


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Original Research
11-May-2026
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EFFECT OF BARIUM SULPHATE ON MECHANICAL PROPERTIES OF WOVEN ALOE VERA/FLAX REINFORCED EPOXY COMPOSITES

By
Arul Murugan M, Boopathy G, Sundharesan R, Booma Devi,

Abstract: Natural fiber-reinforced composites are becoming popular because of their lightweight, eco-friendly, and sustainable nature. Nevertheless, single-fiber composites tend to exhibit poor mechanical performance. This research paper has created a hybrid


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Original Research
11-May-2026
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Polymer Composite-Supported Jackfruit Peel Adsorbent for Enhanced Copper (II) Removal from Wastewater: Batch Equilibrium and Isotherm Analysis

By
Sandeep Shewale, Abhijeet Malge,

Abstract: The increasing concern of disposal of copper-containing effluents into the environment has led to heightened interest in designing cost-effective, eco-friendly and scalable adsorbent systems. Traditional metals and synthetically engineered sorbents


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Review Article
11-May-2026
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers

By
Manas Kumar Yogi,

Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key


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Review Article
11-May-2026
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Comparative Analysis of the Structural Integrity and Dimensional Stability of Additively Manufactured Biopolymers vs. Thermoformed PETG: A 1-Year Retrospective Study on Polymer Performance in Orthodontic Applications

By
Sujitha Suresh, Remmiya Mary Varghese, Parthiban saketharaman, Mounica Dommeti, V S Kumar Bhagavathula, Gadde Harika,

Abstract: Objective: This study aimed to evaluate the long-term dimensional accuracy and structural performance of direct 3D-printed biopolymers compared to conventional vacuum-formed Polyethylene Terephthalate Glycol (PETG) composites. The investigation


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Original Research
10-Mar-2026
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Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation

By
Rupali Sanjay Firke, Mukesh Kumar Gupta, Amit Tiwari,

Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying


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Review Article
11-May-2026
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Automated Microstructure Classification with Class-Specific Segmentation for Titanium Based Composite Materials

By
Pritam Biswas, Sourav Debnath, Avishek Nath, Paramita Sarkar, Soumyajit Roy, Krishna Kumar Jha,

Abstract: In engineering, characterisation of microstructure is required to determine and forecast behaviour of titanium alloys. Our proposal in this work has been a deep-learning-based framework in the automatic classification and segmentation of Titanium


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Original Research
11-May-2026
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers

By
Yogesh Agrawal, Sanjay D Nikhade, Yogesh Ramdas Mahulkar, Dhanashri Jayant Ganore, Anil Singh Yadav, Nandkishor Sawai,

Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable


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Original Research
10-May-2026
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Evaluation of Anti-cataract Potential of Carbocisteine by Using In Vitro Goat Lens Model

By
Pratik A. Bhand, Hemant J. Pagar,

Abstract: This study includes Carbocisteine has four Oxygen molecules, one Sulfur molecule, and one Nitrogen molecule. Goat eyeballs were used in the present study. They were obtained from the slaughterhouse. Glucose at a concentration of 55 mM was used to


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Review Article
31-Jan-2026
Regular Issue  Subscription Review Article Published on :- 31-Jan-2026

Iron Ore Beneficiation through Reverse Flotation: Advances in Nanobubble-Assisted Flotation Technology for Lean Grade Ore Upgradation and Silica Removal: A Review

By
Mihir D.M., Attel Umasanka,

Abstract: The global demand for high-grade iron ore concentrates continues to surge as readily available rich ores become depleted. Iron ore beneficiation through froth flotation has emerged as a critical technology for upgrading lean-grade iron ores