A Rheological Model of the Influence of Thermal Exposure on the Viscosity of a an LBS-4 Varnish during Impregnation of a Multilayer Woven Blank of a Heat-Protective Coating

Тарасов, В. А.; Комков, М. А.; Romanenkov, Vladimir; Boyarskaya, R. V.; Boyarskii, D. S.

doi:10.1134/s1995421218020193

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…It is important that obtained the value of the relative porosity of 0.72 percent indicates high results characterizing possibilities of the technological method for production of critical devices. Relative porosity of devices reaches 0.5-5.5 percent depending on using method in modern machine engineering [23,24].…”

Section: Resultsmentioning

confidence: 99%

Eco-friendly technology of manufacturing complex products made of composites

Игнатов

Subkhankulov

2019

E3S Web Conf.

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Numerous studies in application of modern composite materials show that their advantages can be successfully implemented in manufacturing «smart» products. This study proposes an improved technological method of manufacturing multilayer environmentally friendly products with a variable cross section, which allows us to expand the possibilities of using modern polymer composite materials (PCM). The technology allows manufacturing products of the most complex geometric shapes, such as wind turbine blades. The aim of the study is the technological support of engineering production in the manufacture of multilayer products of variable cross section made from PCM. Scientific novelty consists in identifying the patterns of implementation and management of the manufacturing process of multilayer products of variable cross-section, and establishing the influence of structural and technological parameters of the manufacturing process on their operational characteristics. The relationship between the pressure of a hot directed air stream and the volume fraction of pores in the hardened material of a multilayer composite product with a variable cross section during layer-by-layer application is investigated. During the study, fundamental and applied principles of mechanical engineering technology, material resistance, adhesion theory, mathematical statistics tools and software were used to process the results of the experiment. Based on the results of laboratory studies, a methodology has been developed for effective prediction of pore content in the manufacturing of composite products. The introduction of the presented technology and the corresponding original methodology into production will reduce the complexity and energy costs of manufacturing composite products, improve their quality and reduce the impact of toxic components from composite materials on workers.

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Section: Resultsmentioning

confidence: 99%

Eco-friendly technology of manufacturing complex products made of composites

Игнатов

Subkhankulov

2019

E3S Web Conf.

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“…In addition, to simplify and quickly obtain the reservoir fluid viscosity and to analyze the influencing factors of viscosity, a large number of simulation studies on viscosity have appeared in the petroleum industry, and many com-monly used viscosity models have been proposed, including LBS viscosity model [11], CS viscosity model, LLS viscosity model, Pt viscosity model, and PR viscosity model [12,13]. The application of these models can realize the viscosity acquisition of reservoir fluid with specific composition and realize viscosity prediction.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Fluid Viscosity in Multiphase Reservoir Oil System by Machine Learning

Shao

et al. 2021

Geofluids

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It is important to realize rapid and accurate prediction of fluid viscosity in a multiphase reservoir oil system for improving oil production in petroleum engineering. This study proposed three viscosity prediction models based on machine learning approaches. The prediction accuracy comparison results show that the random forest (RF) model performs accurately in predicting the viscosity of each phase of the reservoir, with the lowest error percentage and highest R 2 values. And the RF model is tremendously fast in a computing time of 0.53 s. In addition, sensitivity analysis indicates that for a multiphase reservoir system, the viscosity of each phase of the reservoir is determined by different factors. Among them, the viscosity of oil is vital for oil production, which is mainly affected by the molar ratio of gas to oil (MR-GO).

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Increasing the resistance to interlayer shear of composite materials due to the modification of carbon fabric fibers with carbon nanotubes

Тарасов

Galinovskiy

Boyarskaya

et al. 2021

J. Phys.: Conf. Ser.

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Interlaminar shear strength is an important characteristic of the characteristics of composite structures. This article presents the results of an experimental study of the role of carbon nanotube reinforcement of a fibrous filler of carbon fabrics in increasing the interlayer shear strength of composite articles made of carbon fiber reinforced plastics. Studies were conducted using dry roving carbon twill weave (Twill type grade: 3K, 2 x 2 Twill Weave Carbon Fiber Fabric, 5.7 Oz/Sq Yd, 50 “Wide,.012” Thick, and 3K, 2 x 2 Twill Weave).The creation of carbon composite materials based on a polyester matrix with additional reinforcement using grown carbon nanotubes (CNTs) on filler fibers has been proposed and investigated. It is shown that with a uniform distribution of CNTs on filler fibers, the interlayer shear resistance increases by 60%.

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A Rheological Model of the Influence of Thermal Exposure on the Viscosity of a an LBS-4 Varnish during Impregnation of a Multilayer Woven Blank of a Heat-Protective Coating

Cited by 3 publications

References 4 publications

Eco-friendly technology of manufacturing complex products made of composites

Eco-friendly technology of manufacturing complex products made of composites

Prediction of Fluid Viscosity in Multiphase Reservoir Oil System by Machine Learning

Increasing the resistance to interlayer shear of composite materials due to the modification of carbon fabric fibers with carbon nanotubes

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