Analysis of potential energy savings in a rotary dryer for clay drying using data mining techniques

Cadavid, Yonatan; Echeverri-Uribe, Camilo; Mejía, Cristian; Amell, Andrés; Medina, Juan David Rivas; Ospina, Jorge

doi:10.1080/07373937.2021.1872610

Cited by 10 publications

(2 citation statements)

References 22 publications

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“…The dryer in this research is heated by hot air shouted by a blower from the heating burner [50 , 51] . Direct contact with hot air moving countercurrent with a stream of solid material is used to heat coffee bean [52 , 53] . Drying using the rotary dryer method has the advantage of drying coffee beans evenly and thoroughly to the inner layer of coffee beans [54 , 55] .…”

Section: Methodsmentioning

confidence: 99%

Implementation of fuzzy logic control algorithm for temperature control in robusta rotary dryer coffee bean dryer

Nafisah,

Syamsiana,

Putri

et al. 2024

MethodsX

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Section: Methodsmentioning

confidence: 99%

Implementation of fuzzy logic control algorithm for temperature control in robusta rotary dryer coffee bean dryer

Nafisah,

Syamsiana,

Putri

et al. 2024

MethodsX

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“…The energy needed to remove 1 kg of water from blueberries was defined as the specific energy consumption (SEC, MJ/kg). The SEC during dehydration was calculated using Equation (2) [ 23 ]:

where E is the total electrical power consumed in drying, MJ, and m water is the mass of the moisture removed during drying, kg.…”

Section: Methodsmentioning

confidence: 99%

Artificial Neural Network Assisted Multiobjective Optimization of Postharvest Blanching and Drying of Blueberries

Zhang

Wang

Chen

2022

Foods

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This study aimed to optimize the postharvest blanching and drying process of blueberries using high-humidity air impingement (HHAIB) and hot-air-assisted infrared (HAIR) heating. A novel pilot-scale hot-air-assisted carbon-fiber infrared (IR) blanching/drying system was developed. Fresh blueberries with an average diameter of 10~15 mm were first blanched with high-humidity air at 110 °C and 12 m/s velocity for different durations (30, 60, 90, and 120 s); subsequently, the preblanched blueberries were dried at different IR heating temperatures (50, 60, 70, 80, and 90 °C) and air velocities (0.01, 0.5, 1.5, and 2.5 m/s), following a factorial design. The drying time (DT), specific energy consumption (SEC), ascorbic acid content (VC), and rehydration capacity (RC) were determined as response variables. A three-layer feed-forward artificial neural network (ANN) model with a backpropagation algorithm was constructed to simulate the influence of blanching time, IR heating temperature, and air velocity on the four response variables by training on the experimental data. Objective functions for DT, SEC, VC, and RC that were developed by the ANN model were used for the simultaneous minimization of DT and SEC and maximization of VC and RC using a nondominated sorting genetic algorithm (NSGA II) to find the Pareto-optimal solutions. The optimal conditions were found to be 93 s of blanching, 89 °C IR heating, and a 1.2 m/s air velocity, which resulted in a drying time of 366.7 min, an SEC of 1.43 MJ/kg, a VC of 4.19 mg/100g, and an RC of 3.35. The predicted values from the ANN model agreed well with the experimental data under optimized conditions, with a low relative deviation value of 1.43–3.08%. The findings from this study provide guidance to improve the processing efficiency, product quality, and sustainability of blueberry postharvest processes. The ANN-assisted optimization approach developed in this study also sets a foundation for the smart control of processing systems of blueberries and similar commodities.

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An innovative drying method for on-site and precast walls – Efficiency in accelerating the drying of reduced-scale earth-lime-hemp composites

Hamieh,

Collet,

Meslem

2024

Construction and Building Materials

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Analysis of potential energy savings in a rotary dryer for clay drying using data mining techniques

Cited by 10 publications

References 22 publications

Implementation of fuzzy logic control algorithm for temperature control in robusta rotary dryer coffee bean dryer

Implementation of fuzzy logic control algorithm for temperature control in robusta rotary dryer coffee bean dryer

Artificial Neural Network Assisted Multiobjective Optimization of Postharvest Blanching and Drying of Blueberries

An innovative drying method for on-site and precast walls – Efficiency in accelerating the drying of reduced-scale earth-lime-hemp composites

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