Multidimensional Model of Surface Waviness Treated by Shaping Cutter

Гусев, В. Г.; Фомин, А. А.

doi:10.1016/j.proeng.2017.10.475

Cited by 32 publications

(9 citation statements)

References 39 publications

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“…When disposing of MSW, a special interest is caused by the process of thermal processing using the plasma generator as a source of thermal energy and to conduct the process at an overpressure in the reactor. It's known from the literature that plasma has a temperature of at least 3000 °C, which makes it possible to destructurize almost all solid waste, and an excessive pressure reduces the yield of tar, improves productivity and favorably affects the formation of methane (CH4) in the gas mixture [24][25][26].…”

Section: Methodology and Research Toolsmentioning

confidence: 99%

Efficiency of biomass and solid waste energy processing based on the cogeneration plant with plasma heat source

et al. 2019

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The urgency of the use of low-grade organic fuels and wastes, in particular municipal solid (MSW), is due to recent developments in energy saving and energy efficiency. This directly relates to the direction of renewable energy, responsible for involving all wastes, such as MSW, in fuel energy balance to provide heat and electricity to decentralized power supply areas. This paper presents the process of hightemperature thermal decomposition of MSW in the steam-air medium of plasma under excessive pressure to generate electrical energy. The high enthalpy and great reactivity of the plasma gasifying agent makes it possible to carry out the process of thermal decomposition in the autothermal mode. The high-temperature mode and the use of plasma blast provides a high degree of conversion of waste into combustible components (CO, CH4, H2), the resulting gas mixture. The technological process significantly reduces the formation of potentially hazardous substances that affect the kinetics of the process. After generating electrical energy, the exhaust gases are subjected to complex purification from the products of combustion and cogeneration of residual thermal energy. In particular, purification from toxic nitrogen oxides (NOx) occurs, the formation of dioxins, furans and other dangerous derivatives of chloride compounds is prevented. Thermal energy, discharged at various sites of the plant, is almost completely used for the needs of the cogeneration plant and its units, which allows to achieve a total efficiency of at least 86%. The ability of the cogeneration plant to work on various types of solid waste gives a wide range of applications and operational capabilities.

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Section: Methodology and Research Toolsmentioning

confidence: 99%

Efficiency of biomass and solid waste energy processing based on the cogeneration plant with plasma heat source

et al. 2019

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“…The waviness of the items' treated surfaces, as well as their roughness and shape accuracy, all have a substantial effect on their service reliability [39]. As seen in Figure 7(b), waviness is a surface imperfection with a wavelength larger than the roughness [40].…”

Section: Surface Wavinessmentioning

confidence: 99%

Review on surface characteristics of components produced by direct metal deposition process

Kumar

Anand

et al. 2022

JMES

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Direct metal deposition (DMD) is a metal additive manufacturing (AM) process that builds objects layer by layer. The surface properties of DMD components are discussed in this study. The fluctuation of surface attributes such as roughness, finish, texture, and so on as a function of operation parameters has been investigated for a number of materials. This research assists in identifying the optimal process parameters for the material chosen, such as material feed rate, gas flow rate, and laser power, in order to generate the best surface characteristics. The results show that wire feed deposition surpasses powder feed deposition. The laser power and scanning speed of the laser were found to be the most influential process parameters. The study results reveal that the optimum process parameter combinations are material specific and is the keyfactor for obtaining better products with reduced surface roughness and waviness. The microstructural study also explores the material specfic effect in processs parameter combinations. This research could be used to determine or predict the best process parameters for a wide range of industrial materials.

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“…Also, the development of additive technologies contributes to the transition to digital manufacturing. The improvement of additive technologies goes along the path of creating new materials, expanding the scope of application, improving software for creating digital models with topological optimization, developing equipment in order to increase accuracy and productivity [5][6][7][8]. The goal for the near future is the transition from the first and second level additive technologies (repair production, prototyping, casting according to additive models) to the third level (serial production of products).…”

Section: Introductionmentioning

confidence: 99%

Kinematic Error Modeling of Delta 3D Printer

Кочетков

Иванова

Seliverstova

et al. 2021

MSF

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The development of additive manufacturing requires the improvement of 3D printers to increase accuracy and productivity. Delta kinematics 3D printers have advantages over traditional sequential kinematics 3D printers. The main advantage is the high travel speed due to the parallel movement of the platform from three pairs of arms. Another advantage is the relatively low cost due to the small number of structural components. However, delta 3D printers have received limited use. The main reason is the low positioning accuracy of the end effector. Errors in the manufacture and assembly of components of a parallel drive mechanism add up geometrically and cause an error in the position of the end effector. These formulas can be applied to a 3D printer as well. However, well-known studies consider deterministic models. Therefore, the analysis is performed for limiting size errors. The purpose of this article is to simulate the effect of statistical errors in displacements and arm lengths on the positioning errors of a platform with the end effector. The article effectively complements the field of error analysis research and provides theoretical advice on error compensation for delta 3D printer.

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Multidimensional Model of Surface Waviness Treated by Shaping Cutter

Cited by 32 publications

References 39 publications

Efficiency of biomass and solid waste energy processing based on the cogeneration plant with plasma heat source

Efficiency of biomass and solid waste energy processing based on the cogeneration plant with plasma heat source

Review on surface characteristics of components produced by direct metal deposition process

Kinematic Error Modeling of Delta 3D Printer

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