Continuous double-step acid catalyzed esterification production of sludge palm oil using 3D-printed rotational hydrodynamic cavitation reactor

Pongraktham, Kritsakon; Somnuk, Krit

doi:10.1016/j.ultsonch.2023.106374

Cited by 3 publications

(12 citation statements)

References 60 publications

(72 reference statements)

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“…Long extruded catalytic filaments were trimmed to short filaments, with an average diameter of 1.8 mm and length of 4.5 mm and weighing 12 mg for batch transesterification. The PSPO feedstock for the transesterification reaction was obtained from the two-step esterification process of SPO using a hydrodynamic cavitation reactor, as detailed in a previous paper . To prepare for the transesterification process using short catalytic filaments, 30 g of PSPO and methanol were heated to 50 °C and agitated at 500 rpm in a beaker using a magnetic stirrer (B S104, RCT basic, IKA, Germany).…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, to achieve high-purity biodiesel, a three-step process involving a transesterification reaction using a base catalyst is recommended. This transesterification reaction helps convert the remaining glycerides in PSPO to methyl esters …”

Section: Introductionmentioning

confidence: 99%

“…When the chemical reactants come into contact with the catalyst on the catalytic reactor, the reactor facilitates the acceleration of chemical processes. 23 In our previous work, 24 a continuous rotor-stator-type hydrodynamic cavitation reactor for the two-step esterification production process of SPO for biodiesel production from high-FFA raw materials was described. Optimization of five parameters, namely methanol content, sulfuric acid content, diameter of hole, depth of hole, and speed of rotor, was conducted to achieve the lowest FFA content.…”

Section: Introductionmentioning

confidence: 99%

“…This transesterification reaction helps convert the remaining glycerides in PSPO to methyl esters. 24 To the best of our knowledge, there have been no reports of extruding and printing CaO catalytic filaments for biodiesel production, as shown in Table 1. As a result, the goal of this study was to investigate CaO catalytic filaments for FDM 3D printing, including their preparation, characterization, and role in methyl ester production from PSPO in a batch process.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Heterogeneous Calcium Oxide Catalytic Filaments for Three-Dimensional Printing: Preparation, Characterization, and Use in Methyl Ester Production

Pongraktham,

Somnuk

2024

ACS Omega

Self Cite

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Heterogeneous Calcium Oxide Catalytic Filaments for Three-Dimensional Printing: Preparation, Characterization, and Use in Methyl Ester Production

Pongraktham,

Somnuk

2024

ACS Omega

Self Cite

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“…Regarding the product viscosity, it is important to ensure that the esterification rate during the esterification reaction falls within the required range [50]. Controlling the viscosity of the product can be accomplished through real-time monitoring, diagnostic analysis, and data prediction.…”

Section: Polyester Polymerization Process 421 Dataset Descriptionmentioning

confidence: 99%

Multi-level deep domain adaptive adversarial model based on tensor-train decomposition for industrial time series forecasting

Yang,

Peng,

Chen

et al. 2023

Meas. Sci. Technol.

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The polyester industry is a complex process industry, building a time series prediction model for new production lines or equipment with new sensors can be challenging due to a lack of historical data. The time-series data collected from sensors cross-production-line often exhibit varying distributions. Current domain adaptation (DA) approaches in data-driven time series forecasting primarily concentrate on adjusting either the features or the models, neglecting the intricacies of industrial time series data. Furthermore, constructing deep neural networks for industrial data necessitates substantial computational resources and runtime due to their large and high-dimensional nature. In order to tackle these obstacles, we propose a novel Multi-level deep domain adaptive adversarial model based on tensor-train decomposition (TT-MDAM). Our model aims to strike a dynamic balance between prediction accuracy and runtime efficiency. By integrating multiple perspectives at the feature, trend, and model levels, we leverage DA to enhance the prediction accuracy of our model in the target domain. Additionally, by analyzing the weight matrix of the neural network, we generate a low-rank model to improve operational efficiency. The application of the proposed TT-MDAM approach to both the three-phase flow facility process (TPFF) dataset and a real-world polyester esterification process dataset reveals promising results, outperforming state-of-the-art methodologies in terms of prediction performance. The results indicate that the approach provides a viable solution for building time series prediction models in industrial processes with new equipment or production lines.

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Investigation on the cavitation characteristic of a novel cylindrical rotational hydrodynamic cavitation reactor

Xue,

Hao,

Ren

et al. 2024

Ultrasonics Sonochemistry

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Continuous double-step acid catalyzed esterification production of sludge palm oil using 3D-printed rotational hydrodynamic cavitation reactor

Cited by 3 publications

References 60 publications

Heterogeneous Calcium Oxide Catalytic Filaments for Three-Dimensional Printing: Preparation, Characterization, and Use in Methyl Ester Production

Heterogeneous Calcium Oxide Catalytic Filaments for Three-Dimensional Printing: Preparation, Characterization, and Use in Methyl Ester Production

Multi-level deep domain adaptive adversarial model based on tensor-train decomposition for industrial time series forecasting

Investigation on the cavitation characteristic of a novel cylindrical rotational hydrodynamic cavitation reactor

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