Experimental and numerical study of the effects of pre-drying of S-PVC using a pneumatic dryer

Banooni, Salem; Hajidavalloo, Ebrahim; Dorfeshan, Masoud

doi:10.1016/j.powtec.2018.06.027

Cited by 5 publications

(3 citation statements)

References 39 publications

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“…Pneumatic dryers are a conventional drying method that offers the benefits of a simple structure and low cost, making them widely used in various industrial applications. , Previous studies have shown that gas and particle flow rates have a significant impact on the performance of pneumatic dryers, particularly when used as a predryer in a PVC suspension production line . Researchers have also developed dimensionless correlations to describe particle velocity and acceleration length in pneumatic conveying .…”

Section: Introductionmentioning

confidence: 99%

“…6,7 Previous studies have shown that gas and particle flow rates have a significant impact on the performance of pneumatic dryers, particularly when used as a predryer in a PVC suspension production line. 8 Researchers have also developed dimensionless correlations to describe particle velocity and acceleration length in pneumatic conveying. 9 The effects of inlet air velocity, particle size, solid mass flow rate, and inlet air temperature on the drying performance of oil shale particles have been investigated to develop a model, which describes the oil shale pneumatic drying process.…”

Section: Introductionmentioning

confidence: 99%

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Experimental and Numerical Study of Cross-Domain Hydrodynamics in an Integrated Pneumatic-Spouted Bed

Jiao

Wang

Mei

et al. 2023

Ind. Eng. Chem. Res.

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As an essential resource, the drying, upgrading, and efficient utilization of lignite are of great significance to the development of the low-carbon economy. In this work, a novel drying system, combining a pneumatic and spouted bed, is designed to achieve lignite deeply dewatering. The system is investigated experimentally and numerical simulated to characterize the hydrodynamics of particles moving across the domain, such as pressure drop, fountain height, and pressure fluctuation. The results show that there is a critical gas velocity that changes the flow pattern of the bed when the static bed is higher than 50 mm. When the gas velocity increases to the critical value, the spouting state becomes unstable and the corresponding pressure drop will undergo a secondary mutation. This work provides a deeper understanding of the flow structure and particle motion in the novel drying system under various industrial operating conditions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Study of Cross-Domain Hydrodynamics in an Integrated Pneumatic-Spouted Bed

Jiao

Wang

Mei

et al. 2023

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

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“…Drying is used in various sectors, including agriculture, pharmaceuticals, energy, and other process industries, to transform liquid within a product into a solid [1], [2]. External energy, such as fossil fuel, generates high temperatures in a drying system's rotary bet, fluidized bed, spray, tray, impinging jet, and pulse combustion dryers [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Drier Bed Adsorption Predictive Model with Enhancement of Long Short-Term Memory and Particle Swarm Optimization

Yusoff,

Sallehud-din,

Tahir

et al. 2023

IJACSA

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The drier bed adsorption processes remove moisture from gases and liquids by ensuring product quality, extending equipment lifespan, and enhancing safety in various applications. The longevity of adsorption beds is quantified by net loading capacity values that directly impact the effectiveness of the moisture removal process. Predictive modeling has emerged as a valuable tool to enhance drier bed adsorption systems. Despite the increasing significance of predictive modeling in enhancing the efficiency of drier bed adsorption processes, the existing methodologies frequently exhibit deficiencies in accuracy and flexibility, which are crucial for optimizing process performance. This research investigates the effectiveness of a hybrid approach combining Long Short-Term Memory and Particle Swarm Optimization (LSTM+PSO) as a proposed method to predict the net loading capacity of a drier bed. The train-test split ratios and rolling origin technique are explored to assess model performance. The findings reveal that LSTM+PSO with a 70:30 train-test split ratio outperform other methods with the lowest error. Bed 1 exhibits an RMSE of 1.31 and an MSE of 0.91, while Bed 2 archives RMSE and MSE values of 0.81 and 0.72, respectively and Bed 3 with an RMSE of 0.19 and an MSE of 0.13, followed by Bed 4 with an RMSE of 0.67 and an MSE of 0.36. Bed 5 exhibits an RMSE of 0.42 and an MSE of 0.34. Furthermore, this research compares LSTM+PSO with LSTM and conventional predictive methods: Support Vector Regression, Seasonal Autoregressive Integrated Moving Average with Exogenous Variables, and Random Forest.

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Improved Lignite Predrying System Integrated with Heat and Water Recovery from Wet Flue Gas at Lignite-Fired Power Plants: Energy and Water Conservation

Yan

Li³

et al. 2022

J. Energy Eng.

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Experimental and numerical study of the effects of pre-drying of S-PVC using a pneumatic dryer

Cited by 5 publications

References 39 publications

Experimental and Numerical Study of Cross-Domain Hydrodynamics in an Integrated Pneumatic-Spouted Bed

Experimental and Numerical Study of Cross-Domain Hydrodynamics in an Integrated Pneumatic-Spouted Bed

Drier Bed Adsorption Predictive Model with Enhancement of Long Short-Term Memory and Particle Swarm Optimization

Improved Lignite Predrying System Integrated with Heat and Water Recovery from Wet Flue Gas at Lignite-Fired Power Plants: Energy and Water Conservation

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