Advances in phase change materials, heat transfer enhancement techniques, and their applications in thermal energy storage: A comprehensive review

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 87, P. 111329 - 111329

Published: March 29, 2024

Language: Английский

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Innovations in phase change materials for diverse industrial applications: A comprehensive review

Results in Chemistry, Journal Year: 2024, Volume and Issue: 8, P. 101552 - 101552

Published: May 22, 2024

The need for effective and sustainable thermal management systems is expanding across a variety of industries, phase change materials (PCMs) have become flexible alternative to meet this demand. ability store significant amounts heat during their transition over constrained temperature range make them attractive candidates regulation or energy storage applications in several industrial sectors. This review paper examines recent developments PCM effects on including building construction, solar storage, electronics, automobiles, pharma health care, waste recovery, electricity generation, water treatment, food beverages, textiles. article starts off by giving basic overview PCMs explaining distinctive properties, classification, operating principles. It then delves into the in-depth study, covering advancements applications. extensive assessment covers both prospective directions further study development as well crucial elements influencing practical application PCMs. Overall, provides thorough summary emphasizing enormous potential improve efficiency, lower carbon emissions, promote development. useful resource scientists, engineers, decision-makers working domains engineering, management, science. encourages greater innovation more efficient world.

Language: Английский

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Enhancing the thermal transport property of eutectic lauric-stearic acid based phase change material with silicon carbide nanoparticles for usage in battery thermal management system

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 84, P. 110890 - 110890

Published: Feb. 14, 2024

Language: Английский

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Thermal management of an asymmetrical wavy microchannel heat sink via Ag/water nanofluid

Case Studies in Thermal Engineering, Journal Year: 2023, Volume and Issue: 53, P. 103857 - 103857

Published: Dec. 6, 2023

The ever-increasing demand for electronic systems to enhance their performance and processing speed has exponentially increased heat generation, especially those containing microstructures with reduced surface area. Tackling these complex thermal management challenges creates an urgent need design model compact efficient cooling systems. In this investigation, a unique of microchannel sink sinusoidal absolute wavy walls with/without nanofluid is proposed. Heat transfer enhancement fluid flow characteristics are numerically investigated by developing two-dimensional finite element Reynolds numbers 5, 100, 500. periodicity the section different volume fractions silver nanoparticles ranging from 0 4% in water further considered. entropy generation analyzed using Bejan number. findings revealed that while rises channel, it better 10.3%, 15.8%, 16.6% than straight ascending numbers. Interestingly, channel's efficiency decrease when unnecessary number periods used. improves 3.35% compared employing only one wavelength along channel.

Language: Английский

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A machine learning approach to predicting thermal conductivity in nanoparticle-enhanced phase change materials

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 13, 2025

Thermal conductivity is a critical property of nanoparticle-enhanced phase change materials (NEPCMs), directly influencing their performance in thermal management applications. This study presents the development an artificial neural network ANN model to accurately predict NEPCMs, showcasing potential machine learning advancing science. A dataset comprising 824 experimental samples from 21 relevant studies was compiled, covering diverse range thermophysical properties, including conductivities nanoparticles and PCMs (W/m·K), nanoparticle concentration (wt%), temperature NEPCM (°C), PCM (solid or liquid), size (nm). The model’s output predicted (W/m·K). To optimize predictive accuracy, fine-tuned for hyperparameters using RandomizedSearchCV, resulting optimized multi-layer feedforward architecture with two hidden layers, trained ADAM backpropagation algorithm. demonstrated outstanding performance, achieving correlation coefficient ( R ) 0.983586 mean squared error (MSE) 0.019917 on validation set, indicating minimal prediction strong agreement actual values. sensitivity analysis SHapley Additive exPlanations (SHAP) framework revealed that had most significant influence conductivity, followed closely by nanoparticles. These findings highlight robustness practical applicability predicting various compositions.

Language: Английский

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A review on advanced phase change material-based cooling for energy-efficient electronics

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100994 - 100994

Published: March 1, 2025

Language: Английский

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Fatigue life prediction of BGA solder joint of several alloy compositions under an isothermal harmonic vibration

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 31, 2024

To ensure durable performance and optimal function of electronic components, it is crucial to guarantee their reliability, robustness goodness fit. The solder joints used in the BGA (Ball Grid Array) component play an intrinsic role reliability system. vibration present triggers fatigue joints, which raises a major problem various sectors such as aerospace, automotive military industries. This study handles response harmonic at three specific temperatures (−40°C, 25°C, 125°C) for four types alloys Soldering. Within this framework, predicting life with alloy compositions under influence isothermal emerges challenge design well modern devices. investigated are SAC105, SAC305, SAC405, InnoLot. simulate analyze behavior we Ansys APDL finite element analysis (FEA). At both 125°C −40°C, Von Mises values proved exceed those observed 25°C. Likewise, S-N curve InnoLot different SACs, was fitted using Basquin power law relationship. As far current research work concerned, initial comparison enacted between SAC vibration, aiming ascertain most reliable alloy. loading 25°C estimated. results revealed that displayed longest lifespan, while SAC105 exhibited shortest life.

Language: Английский

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Enhancing ball grid array (BGA) component design and reliability using a novel reliability-based design optimization (RBDO) methodology

Mechanics of Advanced Materials and Structures, Journal Year: 2023, Volume and Issue: 31(25), P. 6731 - 6747

Published: July 31, 2023

AbstractIn industry and research areas, the importance of reliable optimally designed BGA components has remarkably grown. To tackle this challenge, we elaborated an innovative approach that optimizes BGA's structure. By adopting RBDO method, assess geometric design variables component determine optimal promote structure's efficiency level. Our considers technical economic feasibility, ensuring solder joints. This work rests upon coupling Ansys MATLAB software. The current paper reports our investigation's results, highlighting approach's benefits potential for practical applications.Keywords: Solder jointselectro-thermomechanical loadingreliability-based optimizationoptimal performancecost-effective Disclosure statementNo conflict interest was reported by authors.

Language: Английский

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