Nanofluids application in machining: a comprehensive review

The International Journal of Advanced Manufacturing Technology, Journal Year: 2023, Volume and Issue: 131(5-6), P. 3113 - 3164

Published: Jan. 4, 2023

Language: Английский

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The stability and thermophysical properties of Al2O3-graphene oxide hybrid nanofluids for solar energy applications: Application of robust autoregressive modern machine learning technique

Solar Energy Materials and Solar Cells, Journal Year: 2023, Volume and Issue: 253, P. 112207 - 112207

Published: Feb. 8, 2023

Language: Английский

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Intelligent approaches for sustainable management and valorisation of food waste

Bioresource Technology, Journal Year: 2023, Volume and Issue: 377, P. 128952 - 128952

Published: March 24, 2023

Language: Английский

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Temperature field model in surface grinding: a comparative assessment

International Journal of Extreme Manufacturing, Journal Year: 2023, Volume and Issue: 5(4), P. 042011 - 042011

Published: Aug. 29, 2023

Abstract Grinding is a crucial process in machining workpieces because it plays vital role achieving the desired precision and surface quality. However, significant technical challenge grinding potential increase temperature due to high specific energy, which can lead thermal damage. Therefore, ensuring control over integrity of during becomes critical concern. This necessitates development field models that consider various parameters, such as workpiece materials, wheels, cooling methods, media, guide industrial production. study thoroughly analyzes summarizes models. First, theory investigated, classifying into traditional based on continuous belt heat source those discrete source, depending whether uniform continuous. Through this examination, more accurate model closely aligns with practical conditions derived. Subsequently, are summarized, including for distribution, energy distribution proportional coefficient, convective transfer coefficient. comprehensive research, most widely recognized, utilized, each category identified. The application these reviewed, shedding light governing laws dictate influence arc zone field. Finally, considering current issues temperature, future research directions proposed. aim provide theoretical guidance support predicting improving integrity.

Language: Английский

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Analysis of grain tribology and improved grinding temperature model based on discrete heat source

Tribology International, Journal Year: 2022, Volume and Issue: 180, P. 108196 - 108196

Published: Dec. 31, 2022

Language: Английский

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The effect of pH on stability and thermal performance of graphene oxide and copper oxide hybrid nanofluids for heat transfer applications: Application of novel machine learning technique

Journal of Energy Chemistry, Journal Year: 2023, Volume and Issue: 82, P. 359 - 374

Published: April 10, 2023

Language: Английский

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Using machine learning approaches to model and optimize a combined solar/natural gas-based power and freshwater cogeneration system

Applied Energy, Journal Year: 2023, Volume and Issue: 333, P. 120607 - 120607

Published: Jan. 9, 2023

Language: Английский

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A comprehensive review on the usage of the nano-sized particles along with diesel/biofuel blends and their impacts on engine behaviors

Fuel, Journal Year: 2023, Volume and Issue: 339, P. 127364 - 127364

Published: Jan. 11, 2023

Language: Английский

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A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries

Batteries, Journal Year: 2022, Volume and Issue: 9(1), P. 13 - 13

Published: Dec. 25, 2022

The intense increase in air pollution caused by vehicular emissions is one of the main causes changing weather patterns and deteriorating health conditions. Furthermore, renewable energy sources, such as solar, wind, biofuels, suffer from supply chain-related uncertainties. electric vehicles’ powered energy, stored a battery, offers an attractive option to overcome uncertainties certain extent. development implementation cutting-edge vehicles (EVs) with long driving ranges, safety, higher reliability have been identified critical decarbonizing transportation sector. Nonetheless, capacity time usage, environmental degradation factors, end-of-life repurposing pose significant challenges usage lithium-ion batteries. In this aspect, determining battery’s remaining usable life (RUL) establishes its efficacy. It also aids testing various EV upgrades identifying factors that will improve their efficiency. Several nonlinear complicated parameters are involved process. Machine learning (ML) methodologies proven be promising tool for optimizing modeling engineering domain (non-linearity complexity). contrast scalability temporal limits battery degeneration, ML techniques provide non-invasive solution excellent accuracy minimal processing. Based on recent research, study presents objective comprehensive evaluation these challenges. RUL estimations explained detail, including examples approach applicability. many thoroughly individually studied. Finally, application-focused overview offered, emphasizing advantages terms efficiency accuracy.

Language: Английский

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Nanotechnology-integrated phase change material and nanofluids for solar applications as a potential approach for clean energy strategies: Progress, challenges, and opportunities

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 416, P. 137736 - 137736

Published: June 17, 2023

Language: Английский

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