PDMS/PVDF Electrospinning Membranes for Water-in-Oil Emulsion Separation and UV Protection

Self Cite

The problems of environmental pollution are increasingly severe. Among them, industrial wastewater is one of the primary sources of pollution, so it is essential to deal with wastewater, especially oil and water mixtures. At present, biomimetic materials with special wettability have been proven to be effective in oil-water separation. Compared with three-dimensional (3D) materials, two-dimensional (2D) materials show unique advantages in the preparation of special wettable materials due to their high specific surface area, high porosity, controlled structure, and rich functional group rich on the surface. In this review, we first introduce oil–water mixtures and the common oil–water separation mechanism. Then, the research progress of 2D materials in oil–water separation is presented, including but not limited to their structure, types, preparation principles, and methods. In addition, it is still impossible to prepare 2D materials with large sizes because they are powder-like, which greatly limits the application in oil–water separation. Therefore, we provide here a review of several ways to transform 2D materials into 3D materials. In the end, the challenges encountered by 2D materials in separating oil–water are also clarified to promote future applications.

Section: Classification and Separation Mechanisms Of Oil–water Mixturesmentioning

confidence: 99%

Preparation of 2D Materials and Their Application in Oil–Water Separation

et al. 2023

Self Cite

“…The provided instrument for the online detection of water droplets via size and water content in crude oil emulsions in a pressurized pipeline has shown potential for real-world applications [ 10 ]. In addition, many studies have considered the detection of water droplets in solutions [ 11 ] and the separation of oil and water [ 12 ] using the electrochemical method [ 11 ], 2D materials [ 13 ], and electrospinning membranes [ 14 ]. The sizes and shapes of the particles affect the quality of the product.…”

Section: Introductionmentioning

confidence: 99%

Detection and Dispersion Analysis of Water Globules in Oil Samples Using Artificial Intelligence Algorithms

Beskopylny,

Chepurnenko,

Meskhi

et al. 2023

Fluid particle detection technology is of great importance in the oil and gas industry for improving oil-refining techniques and in evaluating the quality of refining equipment. The article discusses the process of creating a computer vision algorithm that allows the user to detect water globules in oil samples and analyze their sizes. The process of developing an algorithm based on the convolutional neural network (CNN) YOLOv4 is presented. For this study, our own empirical base was proposed, which comprised microphotographs of samples of raw materials and water–oil emulsions taken at various points and in different operating modes of an oil refinery. The number of images for training the neural network algorithm was increased by applying the authors’ augmentation algorithm. The developed program makes it possible to detect particles in a fluid medium with the level of accuracy required by a researcher, which can be controlled at the stage of training the CNN. Based on the results of processing the output data from the algorithm, a dispersion analysis of localized water globules was carried out, supplemented with a frequency diagram describing the ratio of the size and number of particles found. The evaluation of the quality of the results of the work of the intelligent algorithm in comparison with the manual method on the verification microphotographs and the comparison of two empirical distributions allow us to conclude that the model based on the CNN can be verified and accepted for use in the search for particles in a fluid medium. The accuracy of the model was AP@50 = 89% and AP@75 = 78%.

“…As a cushion carrier in the packaging structure, the cushioning material plays the main role of protecting high-precision bearings, which can decrease the influence of external shock and vibration, and absorb most of the energy of external shocks and vibrations suffered by high-precision bearings in the process of storage, transportation and turnover. Zhang Zhenyu proposed a cushion packing pad made of polydimethylsiloxane (PDMS) [6][7][8] for aviation bearings to improve the protection of bearings [9]. Yu Min et al used 3D printing technology to fabricate thermoplastic polyurethane (TPU) cubic foam samples of different densities and sizes, and carried out mechanical compression tests, through comparative analysis, TPU materials have better cushioning performance [10,11], and medium-sized TPU cubic foam has the best mechanical properties [12].…”

Section: Introductionmentioning

confidence: 99%

Cushioning Performance of the Biomimetic Cobweb Cushioning Silicone Pad

Liao

Tian

et al. 2023

At present, the packing method of “plastic bag–buffer packing–packing paper box” is adopted for bearing packaging. However, the common packing method has a poor packing effect and poor versatility. In this study, a new biomimetic cobweb cushion is proposed to solve the problem of insufficient cushioning capacity of high-precision bearing cushion packaging pads. First, according to the nature of cobweb form, the cobweb cushion structure configuration is determined. Next, based on the structure of the cushion and the relationship between the parameters of radial thread and spiral thread, a mechanical and target optimization model is established. The stress nephogram of bearing and the cobweb cushion are analyzed under three drop heights of 381, 610, and 700 mm, in the finite element simulation software to ensure that the maximum bearings stress is not beyond the material yield strength. Via the 3D printing technology, a cobweb cushion shell cast is made. Drop tests of the bearing were performed, and the results were verified with the finite element simulation analysis. This research can provide technical support for the protection of high-precision bearings from accidental drops during transportation.