Exploring foci of
2025-03-06
Sustainable Composites from Sugarcane Bagasse Fibers and Bio-Based Epoxy with Insights into Wear Performance, Thermal Stability, and Machine Learning Predictive Modeling
2025-03-06 • Mahima Samanth, Pavan Hiremath, G. Divya Deepak, Nithesh Naik, H S Arunkumar, Srinivas Shenoy Heckadka, R. C. Shivamurthy
The global push for sustainable materials has intensified the research on natural fiber-reinforced composites. This study investigates the potential of sugarcane bagasse fibers, combined with a bio-based epoxy matrix, as a sustainable alternative for high-performance composites. A comprehensive approach was adopted, including wear testing, thermal and structural characterization, and machine learning predictive modeling. Ethylene dichloride-treated fibers exhibited the lowest wear rate (0.245 mg/m) and the highest…
Hello Muddah, Hello Fadduh (A Letter From Camp)
So Far From God
Tales From Planet Earth
Plan 9 From Outer Space
Away From Her
The Girl From Everywhere
The View From Saturday
Suicide Notes From Beautiful Girls
From Out Of Nowhere (Jeff Lynne's Elo Album)
Exploring foci of
2025-03-11
Computational Approach for Optimizing Resin Flow Behavior in Resin Transfer Molding with Variations in Injection Pressure, Fiber Permeability, and Resin Sorption
2025-03-11 • Pavan Hiremath, Krishnamurthy D. Ambiger, Priyadarshini Jayashree, Srinivas Shenoy Heckadka, G. Divya Deepak, Murthy BRN, Suhas Kowshik, Nithesh Naik
Resin transfer molding (RTM) is a key process for manufacturing high-performance fiber-reinforced composites, in which resin infiltration dynamics play a critical role in process efficiency and defect minimization. This study presents a numerical and experimental analysis of resin flow in biaxial noncrimp carbon fiber reinforcement using FormuLITE 2500A/2401B epoxy. A model based on Darcy’s law and resin sorption effects was developed to investigate the influence of injection pressure (15–25 kPa), permeability (35…
Computational Linguistics
Missile Approach Warning System
Computational Creativity
Reggio Emilia Approach
Computational Physics
Computational Mathematics
Computational Biology
Computational Fluid Dynamics
Computational Complexity
Exploring foci of
2025-01-14
Comprehensive Analysis of Wear, Friction, and Thermal Resistance in PVDF/Nanoclay Composites Using Taguchi Methodology for Enhanced Tribological Performance
2025-01-14 • Pavan Hiremath, R. C. Shivamurthy, Giridhar B. Kamath, Nithesh Naik
This study discusses the tribological characteristics of Polyvinylidene Fluoride (PVDF)/nanoclay composites, focusing on the effects of nanoclay content (0, 1, 2 and 3 wt.%), load, sliding speed, and sliding distance on the wear rate, friction coefficient, specific wear rate, and temperature. A Taguchi Design of Experiments technique was applied to optimize and assess these aspects. The results demonstrated that nanoclay addition considerably improved the wear resistance and frictional stability of the PVDF compos…
Slope Stability Analysis
Residue (Complex Analysis)
Security Analysis (Book)
Exploratory Factor Analysis
Wear And Tear
United States Withdrawal From The Joint Comprehensive Plan Of Action
Thermogravimetric Analysis
Gravimetric Analysis
Market Analysis
Exploring foci of
2025-04-11
Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performance
2025-04-11 • Harshada Mhetre, Sagar Dhanraj Pande, Babita Singla, Pavan Hiremath, S.N. Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik
Abstract The prospective utilization of electrospun nanofibers across diverse fields has elicited substantial scientific attention. Nevertheless, managing their diameter remains problematic due to the intricate interactions among electrospinning variables. This research explores the application of Long Short-Term Memory (LSTM) networks and multiple regression models to forecast the diameters of Titanium Dioxide (TiO₂) and Polyvinyl pyrrolidone (PVP) nanofibers, facilitating improved process regulation and enhancem…
Computer Data Storage
Tokenization (Data Security)
Data Fusion
Erwin Data Modeler
Digimon Data Squad
Driven (2001 Film)
Data Collection
Structural Equation Modeling
Data Scrubbing
Exploring foci of
2025-01-23
Caustic recovery from caustic-containing polyethylene terephthalate (PET) washing wastewater generated during the recycling of plastic bottles
2025-01-23 • Aya Alterkaoui, Ozan Eskikaya, Bülent Keskinler, Nadir Dızge, B. Deepanraj, Pavan Hiremath, Nithesh Naik
Abstract To prevent water scarcity, wastewater must be discharged to the surface or groundwater after being treated. Another method is to reuse wastewater in some areas after treatment and evaluate it as much as possible. In this study, it is aimed to recover and reuse the caustic (sodium hydroxide, NaOH) used in the recycling of plastic bottles from polyethylene terephthalate (PET) washing wastewater. Chemical substances used in the industry will be significantly reduced with chemical recovery from wastewater. Ul…
Hello Muddah, Hello Fadduh (A Letter From Camp)
So Far From God
Tales From Planet Earth
Plan 9 From Outer Space
Away From Her
The Girl From Everywhere
The View From Saturday
Suicide Notes From Beautiful Girls
From Out Of Nowhere (Jeff Lynne's Elo Album)