1
|
Deepali D, Mishra P, Das AB. Structural and rheological characterization of starch-based eutecto-oleogel. Int J Biol Macromol 2024; 279:135484. [PMID: 39250994 DOI: 10.1016/j.ijbiomac.2024.135484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 08/26/2024] [Accepted: 09/07/2024] [Indexed: 09/11/2024]
Abstract
The study aimed to develop a novel eutecto-oleogel and its characterizations. Using starch, beeswax, oil, and natural deep eutectic solvents (NADES), an oleogel with low hardness and high liquid fat was developed. The addition of starch and NADES in oleogels caused the formation of new intra or intermolecular hydrogen bonding and improved the oil binding capacity, thermal behavior, and texture of the oleogels. The oleogel with 1 % starch formed a strong gel with the most favorable functional, textural, flow properties and a high fanning factor. Complementary tests of the oleogel exhibited shear thinning and frequency-independent behavior, with zero residual effect. Non-isothermal crystallization and melting analysis of the oleogels showed noticeable differences among the various oleogels. These results contribute to a better understanding of oleo gelation in rice bran oil-based oleogels with NADES, and beeswax for formulating food, pharmaceutical, and personal care products with desired physical properties.
Collapse
Affiliation(s)
- Deepali Deepali
- Department of Food Engineering and Technology, Tezpur University, India
| | - Poonam Mishra
- Department of Food Engineering and Technology, Tezpur University, India.
| | - Amit Baran Das
- Department of Food Engineering and Technology, Tezpur University, India; Department of Food Processing Technology, Ghani Khan Choudhury Institute of Engineering and Technology, West Bengal, India.
| |
Collapse
|
2
|
Cheng Z, Zhang P, Wang X, Song X, Dai X, Gao L, Zhang X, Zhang G, Lu Y. Drag reduction and degradation by sodium alginate in turbulent flow. Sci Rep 2024; 14:16854. [PMID: 39039150 PMCID: PMC11263538 DOI: 10.1038/s41598-024-67873-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Accepted: 07/16/2024] [Indexed: 07/24/2024] Open
Abstract
The utilization of drag-reducing polymers has long been hindered by their irritancy, corrosiveness, and toxicity across various domains. In this investigation, we explored sodium alginate, a natural drag reducer, for its efficacy in reducing drag and its resilience to shear in millimeter-scale pipelines. Initially, an experimental setup was devised to assess the drag reduction capabilities of sodium alginate at varying concentrations and flow rates using Response Surface Methodology (RSM). The relationship between drag reduction (DR), concentration (C), and flow rate (Q) was established by analyzing the experimental data. Subsequently, variance analysis was employed to validate the data accuracy, with a comparison between predicted and experimental DR values revealing an error margin within ± 20%. Analysis of cyclic shear testing of sodium alginate solution in tubes demonstrated its effectiveness as a shear flow drag reducer. Furthermore, results from laser particle size analysis indicated minimal molecular breakage of sodium alginate during cyclic shear.
Collapse
Affiliation(s)
- Zhensong Cheng
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
| | - Panpan Zhang
- Dongying Vocational Institute, Dongying, 257091, Shandong, People's Republic of China
| | - Xudong Wang
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
| | - Xinwang Song
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
| | - Xiaodong Dai
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China
| | - Liang Gao
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China
| | - Xin Zhang
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, 257061, Shandong, People's Republic of China.
| | - Guoxin Zhang
- CNOOC (Tianjin) Oilfield Chemical Co., Ltd, Tianjin, China
| | - Yuan Lu
- CNOOC (Tianjin) Oilfield Chemical Co., Ltd, Tianjin, China
| |
Collapse
|
3
|
Cheng Z, Zhang X, Song X, Wang X, Zhang G, Lu Y, Li L, Liu F, Dai X. Investigation of drag reduction by slurry-like drag-reducing agent in microtube flow using response surface methodology (RSM). Sci Rep 2023; 13:22433. [PMID: 38104226 PMCID: PMC10725478 DOI: 10.1038/s41598-023-49804-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023] Open
Abstract
In this study, we investigated the drag reduction property of a premixed slurry drag reducer in a millimeter-scale pipe. The aim of this study is to establish the correlation between Darcy friction factor and drag reducer concentration (C) and volume flow (Q). First, the experimental plan was designed by using the response surface method (RSM), and then the experimental data were processed to establish the quadratic correlation between the response variable and the description variable. After that, ANOVA analysis of variance was used to verify the accuracy of the experimental data and the correlation. Finally, the prediction model is extended to a larger concentration and volume flow range, and it is found that the accuracy between the predicted value of friction coefficient and the experimental value is ± 30%, thus verifying that the correlation is suitable for the small-scale fully turbulent region. Compared with traditional experimental design and correlation methods, the implementation of Response Surface Methodology (RSM) in this study not only reduces the experimental time but also yields a more robust correlation for predicting the friction coefficient.
Collapse
Affiliation(s)
- Zhensong Cheng
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People's Republic of China.
| | - Xin Zhang
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People's Republic of China.
| | - Xinwang Song
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People's Republic of China
| | - Xudong Wang
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People's Republic of China
| | - Guoxin Zhang
- CNOOC (Tianjin) Oilfield Chemical Co., Ltd, Tianjin, People's Republic of China
| | - Yuan Lu
- CNOOC (Tianjin) Oilfield Chemical Co., Ltd, Tianjin, People's Republic of China
| | - Lei Li
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People's Republic of China
| | - Feifan Liu
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People's Republic of China
| | - Xiaodong Dai
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong, 257061, People's Republic of China.
| |
Collapse
|
4
|
Solar energy optimization in solar-HVAC using Sutterby hybrid nanofluid with Smoluchowski temperature conditions: a solar thermal application. Sci Rep 2022; 12:11484. [PMID: 35798787 PMCID: PMC9262953 DOI: 10.1038/s41598-022-15685-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/28/2022] [Indexed: 11/18/2022] Open
Abstract
In solar heating, ventilation, and air conditioning (HVAC), communications are designed to create new 3D mathematical models that address the flow of rotating Sutterby hybrid nanofluids exposed to slippery and expandable seats. The heat transmission investigation included effects such as copper and graphene oxide nanoparticles, as well as thermal radiative fluxing. The activation energy effect was used to investigate mass transfer with fluid concentration. The boundary constraints utilized were Maxwell speed and Smoluchowksi temperature slippage. With the utilization of fitting changes, partial differential equations (PDEs) for impetus, energy, and concentricity can be decreased to ordinary differential equations (ODEs). To address dimensionless ODEs, MATLAB’s Keller box numerical technique was employed. Graphene oxide Copper/engine oil (GO-Cu/EO) is taken into consideration to address the performance analysis of the current study. Physical attributes, for example, surface drag coefficient, heat move, and mass exchange are mathematically processed and shown as tables and figures when numerous diverse factors are varied. The temperature field is enhanced by an increase in the volume fraction of copper and graphene oxide nanoparticles, while the mass fraction field is enhanced by an increase in activation energy.
Collapse
|
5
|
Zhang X, Dai X, Han Q, Zhao J, Jing D, Liu F, Li L, Xin Y, Liu K. Prediction and New Insight for the Drag Reduction of Turbulent Flow with Polymers and Its Degradation Mechanism. J Phys Chem Lett 2021; 12:7201-7206. [PMID: 34310148 DOI: 10.1021/acs.jpclett.1c02027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
A physicochemical understanding of the mechanism of turbulent flow drag reduction with polymer and its degradation is of great interest from both science and industry perspectives. Although the correlation based on the Fourier series has been proposed to predict the drag reduction and its degradation, its physical meaning was not clear until now. This letter aims to clarify this issue. We develop a comprehensive model to predict the drag reduction and degradation of polymers in turbulent flow from a chemical thermodynamics and kinetics viewpoint. We demonstrate that the Fourier series employed to predict the drag reduction and its degradation is due to the viscoelastic property of drag-reducing polymer solution, and the phase angle in the model, in physical nature, represents the hysteresis of the polymer in turbulent flow. Besides, our new insight of drag reduction with flexible polymers can also explain why a maximum drag reduction in rotational flow appears before degradation happens.
Collapse
Affiliation(s)
- Xin Zhang
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong 257061, People's Republic of China
| | - Xiaodong Dai
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong 257061, People's Republic of China
| | - Qiaorong Han
- Oil & Gas Technology Research Institute of Changqing Oilfield Company, Xi'an, Shaanxi 710018, People's Republic of China
| | - Jishi Zhao
- Yunfu (Foshan) R&D Center of Hydrogen Energy Standardization, Yunfu, Guangdong 527326, People's Republic of China
| | - Dengwei Jing
- State Key Laboratory of Multiphase Flow in Power Engineering & International Research Center for Renewable Energy, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, People's Republic of China
| | - Fei Liu
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong 257061, People's Republic of China
| | - Lei Li
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong 257061, People's Republic of China
| | - Yanping Xin
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong 257061, People's Republic of China
| | - Kun Liu
- College of Petroleum Engineering, Shandong Institute of Petroleum and Chemical Technology, Dongying, Shandong 257061, People's Republic of China
| |
Collapse
|