Search
694 articles for “Energy Improvement”
-
Recent Trends in Rotary Kiln and Refractory Material Patterns in Cement Production: A Review Approach
Abstract: The manufacturing of cement and other industrial operations depend heavily on rotary kilns, which use refractory materials to endure high temperatures and challenging chemical conditions. With an emphasis on their effects on durability and operating efficiency, this study looks at the most recent developments in rotary kiln technology and refractory material choices. Various rotary kiln designs, typical refractory material patterns, and the difficulties posed by kiln failures are all covered. …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
-
Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
-
Thermal Analysis of Natural Fiber and Hybrid Composites
Abstract: This study examines how natural fiber and hybrid composites reinforced with natural and glass fibers perform under thermal conditions specifically, the effects of temperature that are common in automotive and aerospace environments. To evaluate their behavior, the composites were tested at two elevated temperatures, 60°C and 70°C. Mechanical tests such as tensile and impact were conducted to simulate real-world operating conditions and assess how thermal, and moisture exposure influence the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1173–1196 Read article
-
Artificial Intelligence and Machine Learning Applications in Optimizing Air Conditioning Systems
Abstract: The growing demand for air conditioning systems, especially in the wake of climate change and increasing global temperatures, has led to a significant increase in energy consumption. This, in turn, contributes to the growing concerns of environmental sustainability and operational costs. As a result, there is a pressing need for innovative solutions to optimize the performance and energy efficiency of air conditioning (AC) systems. Artificial Intelligence (AI) and Machine Learning …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
-
Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
-
Critical Review on Photocatalytic Polymer Nanocomposites for Indoor Air Purification in Hotels
Abstract: The indoor air quality has become a key measure of health, comfort, and customer satisfaction of a hospitality setting. The challenges that continually affect hotels especially because of volatile organic compounds (VOCs), particulate matter, and microbial pollutants that are present in cleaning agents, furnishing, and human activity. In this regard, the photocatalytic polymer nanocomposites are one of the sustainable and efficient means of purifying indoor air. These materials combine photocatalysts …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 527–541 Read article
-
Design and Development of a Mini Drone for Educational Applications
Abstract: This paper describe the complete process of designing, building, and testing a small unmanned aerial vehicle (UAV), normally referred to as a drone. The plan combines key concept from aerodynamics, electronics, control engineering, and embedded programming to produce a functional sample. The drone was developed using trivial structural materials and affordable components, including brushless DC motors, electronic speed controller (ESCs), a flight controller, various sensors, and a lithium-polymer (Li-Po) battery. …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
-
Synthesis of Biofuel from Castor Oil Using Novel Catalysts
Abstract: An essential step in improving biofuels, especially those made from biomass, is hydrodeoxygenation (HDO). HDO's primary goal is to eliminate oxygen atoms from the biofuel feedstock in the form of water, which enhances the fuel's energy density, stability, and compatibility with current fuel.This study uses a large surface area catalyst to investigate the hydrodeoxygenation (HDOx) activity of non-edible oils. In addition to other supports including H-USY and MCM-41, large surface …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 226–237 Read article
-
A comprehensive study on elemental analysis and sustainable integration of CETP (common effluent treatment plant) sludge as a substitute to sand in concrete
Abstract: This study examines the utilization of sludge from common effluent treatment plants (CETP) as a fractional substitute for sand in M20 concrete mixtures. Its aim is to address disposal challenges associated with CETP sludge while promoting sustainable use of natural resources. The research assesses the structural and microstructural attributes of concrete mixes containing varying percentages of CETP sludge (0%, 10%, 20%, 30%, 40%, and 50%). Tests conducted include compressive, flexural, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 49–59 Read article
-
AI based Assistive glasses for visually impaired persons
Abstract: There been a lot of change in tools for assisting visually impaired persons from simple analog tools to digital sensor-based devices. In this paper we have designed an AI- based smart assistive glass which can detect objects, read text their nature, distance and give feedback through audio output in real time. This system stores visual data and with use of object recognition it analyzes surroundings.Besides,VL53L0X TOF mea- sures accurate distance …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 Read article
-
Smart Monitoring and Controlling of the Battery and Motor
Abstract: The demand for effective battery and motor monitoring and management to guarantee dependability, safety, and peak performance has increased due to the quick development of electric vehicles and smart industrial systems. The smart monitoring and control methods used in battery management systems and motor control systems are thoroughly reviewed in this paper. In addition to speed, torque, efficiency, and fault situations in motors, it emphasizes important characteristics like temperature, voltage, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 11–15 Read article
-
Efficient Energy Management using Artificial Intelligence (AI) and Machine Learning (ML) in Chemical Industry
Abstract: The globe is moving toward higher usage of renewable energy sources, particularly solar and wind energy, as a result of depleting fossil fuel supplies and growing environmental concerns. There are several forecasting methods available for effective wind energy utilization. This review uses algorithms for predicting solar and wind energy as well as artificial intelligence (AI) techniques. A wind-coal coupling energy system planning scheme was designed to lower the high energy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 33–50 Read article
-
Machine Learning for Finding Materials for Membranes
Abstract: Traditionally, finding and improving membrane materials has depended on trial-and-error experiments, which can take a long time, cost a lot of money, and only cover a small area. Recent improvements in machine learning (ML) have the potential to change the way membrane materials are designed by making it possible to make predictions about performance, selectivity, and stability based on data. ML algorithms can find hidden links between the structure, composition, …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
-
A Sol-Gel Approach for the Fabrication of Zinc Oxide Nanoparticles and Their Nanocomposite with Urea Formaldehyde (UF)
Abstract: In the performed work, zinc oxide nanoparticles were synthesized via the sol-gel method using zinc sulphate as the precursor material. Urea-formaldehyde (UF) resin was employed as a polymer matrix to encapsulate the produced ZnO through an acid-catalyzed polymerization process. This encapsulation aimed to improve the dispersion stability and surface reactivity of ZnO within the polymeric medium. The synthesized materials were subjected to comprehensive characterization using Fourier Transform Infrared Spectroscopy (FT-IR), …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 21–27 Read article
-
LLM Evolution: Secrets and Disadvantages
Abstract: The advancement of large language models (LLMs) has initiated a significant transformation in artificial intelligence, with substantial effects on fields including natural language processing, machine learning, and human-computer interaction. This research examines the diverse improvements in LLMs, emphasizing significant milestones from early models such as GPT-2 to contemporary state-of-the-art designs. The investigation highlights the novel training methodologies, such as unsupervised learning and transfer learning, which have markedly improved the capabilities …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 25–36 Read article
-
High Performance Multi-Valued Logic (MVL)Gate Design Using FinFET
Abstract: CMOS scaling faces challenges such as leakage, power dissipation, and short channel effects. Multi-Valued Logic (MVL) offers higher information density and reduced interconnections. This work presents a FinFET-based MVL gate design that improves electrostatic control, switching speed, and reliability. Simulation results confirm reduced leakage power and enhanced performance compared to conventional logic. The proposed architecture demonstrates scalability for advanced technology nodes. It also shows potential for low-power applications in portable …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 34–45 Read article
-
Optimization Strategies for Finned-Tube Gas Coolers in CO2 Heat Pump Systems: A Review
Abstract: In order to reduce CO2 emissions through increased energy use flexibility, this article examines existing energy solutions. It focuses on demand-side management tools such as electric vehicles and heat pumps, as well as storage possibilities. The aim is to shift to sustainable energy sources by striking a balance between non-renewables (coal, gas) and renewables (solar, wind). This is demonstrated by the notable decrease in the usage of oil-fired boilers and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 3, 2024 · pp. 11–20 Read article
-
Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
-
Functional Biomolecules in Animal Nutrition: Biochemical Mechanisms and Their Impacts on Growth Performance and Health Outcomes
Abstract: Functional biomolecules have emerged as critical modulators of animal nutrition, extending beyond conventional nutrient supply to regulate biochemical and physiological processes that determine growth performance and health outcomes. This review synthesizes current knowledge on diverse classes of bioactive compounds, including amino acids, peptides, fatty acids, vitamins, minerals, phytochemicals, and microbial-derived metabolites, and their roles in livestock systems. Emphasis is placed on underlying biochemical mechanisms such as enzyme activation, nutrient signaling …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 Read article
-
Fundamental Principles of Fluid Behavior and Emerging Trends in Modern Fluid Mechanics Research
Abstract: Fluid behavior forms the foundation of numerous engineering technology and scientific applications, including aerospace flows, energy systems, and environmental processes. This paper presents a comprehensive overview of the fundamental principles governing fluid behavior, with a strong emphasis on their relevance to recent trends in fluid mechanic’s research. Core concepts such as fluid statics, fluid dynamics, and conservation laws are discussed to establish a solid theoretical framework. The study further examines …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 1, 2026 · pp. 14–21 Read article