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287 articles for “cleaning”
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High Efficiency Linear Motion Using Sequential Coil Electromagnetic Propulsion Train
Abstract: The Electromagnetic Propulsion Train project efforts on developing a model that proves linear motion using exactly controlled electromagnetic forces. Dissimilar conventional railway systems that depend on mechanical drives, traction motors, and wheel–rail friction, this model uses a coordinated arrangement of electromagnets positioned along the track to generate attractive and repulsive forces, which together produce the essential propulsion. This method reduces dependence on mechanical movement and highlights the possible of magnetic …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 32–39 Read article
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Influence of Catalyst Type and Reaction Conditions on Biodiesel Conversion of Pine and Soapnut Oils
Abstract: Biodiesel produced from non-edible oils is becoming an important replacement for petroleum diesel because it is renewable, environmentally friendly, and suitable for use in existing diesel engines. It helps reduce air pollution, lowers dependence on fossil fuels, and supports sustainable energy development. Pine oil and soapnut oil are two promising non-edible feedstocks because they are easy to obtain, inexpensive, and contain chemical compounds that can be effectively converted into biodiesel. …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 39–48 Read article
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Using Machine Learning to Guess Photochemical Reaction Pathways
Abstract: Photochemical reactions are crucial to many activities in the fields of energy conversion, environmental cleanup, and synthetic chemistry. However, predicting their causes and results effectively is still very hard since they entail excited electronic states, nonadiabatic transitions, and complicated potential energy surfaces. Machine learning (ML) has been a powerful technique to go along with classic quantum chemistry methods in the last few years. It offers better prediction capability and lower …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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A Thorough Examination of the Chemical Engineering Process: Fundamentals, Design, and Application
Abstract: This article gives a full picture of the chemical engineering process, focusing on the basic ideas, methods, and tools that make up the profession. It looks at how chemical, physical, and biological processes change raw materials into useful goods, with a focus on how design, optimization, and control work together in industrial systems. Some of the main topics talked about are process design, thermodynamics, reaction engineering, transport phenomena, and sustainability. …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 14–25 Read article
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Recent Progress in Chemical Technology Research and Its Industrial Utilizations
Abstract: Recent advancements in chemical technology have profoundly transformed the industrial environment by integrating novel materials, eco-friendly processes, and sophisticated analytical instruments. This article examines important new developments in chemical research in areas like catalysis, nanotechnology, process intensification, and green chemistry. The focus is on how these scientific advances may be used in industry, such as making production procedures cleaner, improving energy efficiency, and making materials that work better. The revolutionary …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 56–66 Read article
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Experimental Investigation on Nitrogen Oxides Air Pollutant Reduction Characteristics of Cement Mortar Using Sustainable Photocatalytic Material
Abstract: Emissions of nitrogen oxide (NOx) should be diminished to address the facts of urban air pollution and its health and environmental consequences. This study explores the potential of NOx reduction of photovoltaic pollutants in cement mortar using titanium dioxide (TiO2) as a photovoltaic material. NOx is one of the major pollutants of urban air, related to the problems of smog and acid rain, with serious health hazards. The study focuses …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 26–40 Read article
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Injection Pressure Optimization for Non-edible Biodiesel Blends in CRDI Engines: A Comparative Study
Abstract: The growing demand for clean and sustainable energy has increased interest in biodiesel produced from non-edible oil sources. These fuels are renewable, biodegradable, and do not compete with food resources. However, the effective use of biodiesel blends in modern diesel engines requires proper control of fuel injection parameters, particularly injection pressure. In common rail direct injection (CRDI) engines, injection pressure strongly influences spray formation, air–fuel mixing, combustion behaviour, and exhaust …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 24–34 Read article
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Pulmonary Effects of Cement Exposure in Construction Workers Correlating Lung Function Parameters with Workplace Hygiene
Abstract: Construction workers are routinely exposed to cement dust, a recognized occupational hazard known to adversely affect respiratory health. This study investigates the pulmonary effects of cement exposure in construction workers by evaluating lung function parameters and examining the role of workplace hygiene practices. A cross-sectional analysis was conducted on a sample of construction workers with varying durations of exposure to cement dust. Spirometric assessments, including forced vital capacity (FVC), forced …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Advanced Energy-Efficient Technologies, Role of Artificial Intelligence and IoT in Energy Conservation
Abstract: One of the key elements in the development of every nation's economy is energy. Due to their enormous investment requirements to meet their rising energy needs, developing nations place a high priority on the energy industry. Utilize energy management, auditing, and conservation for cost reduction and boost efficiency. Achieving and maintaining optimal energy procurement and use across the organization is the goal of energy management in order to reduce energy …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 3, 2025 · pp. 51–64 Read article
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Environmental Education: A Comprehensive Tool for Fostering Awareness and Action
Abstract: Education can foster an educated and active public, therefore, facilitating collective action to address environmental concerns and attain sustainable development objectives. Education is essential for fostering environmental awareness, enabling citizens to engage in conservation and sustainability efforts Environmental education (EE) is an important instrument for providing individuals with the knowledge, skills, and attitudes required to address major environmental issues. It promotes a sense of our interconnectedness with nature, stressing the …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 3, 2025 · pp. 1–5 Read article
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Closing the Loop: Innovative Strategies for Circular Economy and Sustainable Waste Management
Abstract: Africa’s growing waste crisis, especially in rapidly expanding cities across Nigeria, has made it increasingly clear that traditional “take–make–dispose” systems can no longer support sustainable development. This paper explores how shifting to a circular economy (CE) can transform waste from a persistent challenge into a valuable resource. Instead of seeing waste as an endpoint, the circular economy model encourages designing products for longer lifespans, rethinking consumption patterns, and recovering materials …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 123–139 Read article
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Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Polymers for Water Purification Application
Abstract: Water pollution is a growing concern worldwide, and the demand for clean and safe drinking water is increasing rapidly. Traditional water purification methods often face challenges such as inefficiency, high cost, and secondary pollution. In recent years, polymers have emerged as promising materials for water purification due to their versatility, high efficiency, and selective removal capabilities.This project explores the application of various polymers in water purification, including their role as …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 111–122 Read article
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A Review on Microbial Enzymes in the Food Industry: Current Innovations and Future Prospects
Abstract: Over the past few decades, microbial enzymes have become indispensable biocatalysts in food production, fundamentally revolutionizing how we approach manufacturing processes while simultaneously enhancing the quality of what we produce. Today, approximately 200 of the 4,000 known enzymes are deployed commercially with proteases, amylases, lipases, and lactases leading the charge in industrial food applications. This review brings together the latest innovations in how we use microbial enzymes for food processing, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 1, 2026 · pp. 43–53 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Evaluation of CI Engine Performance and Emissions Using WB10CNT90: A CNT-Reinforced Biodiesel Blend Approach and its Marketing Prospects for sustainable fuel Commercialization
Abstract: The experimental and analytical evaluation of the WB10CNT90 blend—a combination of 10% waste biodiesel derived from Madhuca longifolia, 90% conventional diesel, and 100 ppm Multi-Walled Carbon Nanotubes (MWCNTs)—demonstrates its potential as an efficient and eco-friendly alternative to conventional diesel. The Brake Thermal Efficiency (BTE) of the engine increased by approximately 15%, indicating enhanced energy conversion efficiency during combustion. Simultaneously, the Brake Specific Fuel Consumption (BSFC) showed a reduction of nearly …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 741–759 Read article
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Development of a Durable Superhydrophobic EP/PDMS Coating Reinforced with Micro-CaCO₃ and Nano-ZnO for Enhanced Corrosion Protection and Multifunctional Performance on Carbon Steel
Abstract: Balancing exceptional multifunctional performance with mechanical robustness in micro-nano composite films remains a significant challenge for practical applications. In this work, a superhydrophobic coating reinforced with micro-CaCO₃ and nano-ZnO particles was fabricated through a versatile single-step brushing method. The optimized EP/PDMS@micro-CaCO₃/nano-ZnO coating achieved a water contact angle (WCA) of 173.54° ± 2.53° and a sliding angle (SA) of 1.50° ± 1.12°. Owing to its carefully engineered micro-nano hierarchical structure, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 216–238 Read article
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Green Energy and Intelligent Transportation: The Role of Composite Materials in Electric and Automotive Sectors
Abstract: The global transition toward sustainable mobility is accelerating, driven by mounting concerns over climate change, urban congestion, and the rapid development of green energy technologies. At the heart of this transformation lie intelligent transportation systems (ITS) and electric vehicles (EVs), which are collectively reshaping the future of modern transportation. Within this context, composite materials have emerged as key enablers, offering lightweight, durable, and energy-efficient solutions that enhance vehicle performance, range, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1096–1111 Read article
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Utilization and Socioeconomic Impact of Biofuel Adoption Among Farming Communities in Fatehgarh Sahib, Punjab
Abstract: With the increasing consumption of energy and environmental issues, transformation toward renewable energy is being considered as a trend globally. Biofuels such as biogas and biodiesel provide potential alternative to fossil based fuel, particularly, in the rural parts of India, including Punjab. These clean sources, however, are not only contributing to environment but also have a potential to improve the rural economy by saving costs and having better health. Despite …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 38–45 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article