The Grain Cleaning Production Lines’ Energysaving Operation Modes of Electromechanical Systems

Постникова, Марина Викторовна; Mykhailov, Yevhen; Квітка, Сергій Олексійович; Kurashkin, Serhii; Kovalov, Oleksandr; Opalko, Viktoriia; Kucher, Vitaliy; Kowalczyk, Z.

doi:10.2478/agriceng-2022-0005

Cited by 3 publications

(3 citation statements)

References 28 publications

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“…The recommended scientifically based standards of electric consumption are intended for departments of economics and planning of regional agricultural administrations to plan and manage electricity consumption for technological processes of grain cleaning on the production lines of grain storage facilities. Similar experimental [45] and theoretical [46] studies have been carried out for the first time by the authors for ZAV-20 and ZAV-25 [47] grain cleaning units, and scientifically based electricity consumption standards have been developed, as confirmed by the certificates of research results implementation. Corresponding studies are also being carried out for other grain cleaning units produced by industry.…”

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confidence: 68%

Improving Energy Efficiency of Grain Cleaning Technology

et al. 2022

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The relevance of the research topic was substantiated, and the purpose and objectives of the study were formulated. It was determined that the energy efficiency of the grain cleaning process can be evaluated only when all the machines operate in a single production line and are coordinated in productivity. Research on energy savings and energy efficiency in the technological process of post-harvest grain treatment using grain cleaning units by implementing the method of mathematical experiment planning (MEP) was conducted. The method is based on transforming the initial mathematical models of various research objects into a model in the form of regression equations convenient for solving the problems of research, analysis and optimization of the object. For the first time, the mathematical description of the target function was performed by conducting a multifactorial experiment based on second-order design. The research produced adequate second-order regression equations, making it possible to determine the minimum specific consumption of electricity for the technological process of post-harvest grain treatment at grain cleaning facilities, while complying with the agrotechnical requirements for the quality of the cleaned grain. The problem of optimization of the research object was solved by mathematical transformations, which enabled obtaining graphical and analytical interpretations of the optimum area. For this purpose, the canonical transformation of the mathematical model and the method of two-dimensional cross-sections of the response surface were used. Research has led to the development of scientifically based standards of specific electricity consumption for grain cleaning processing schemes, which serve as criteria for evaluating energy savings in the technological processes.

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confidence: 68%

Improving Energy Efficiency of Grain Cleaning Technology

et al. 2022

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“…Electromechanical actuators are present in diverse areas of applications including robotic industry, engineering, energetics, biomedicine, environment and so on [ [1] , [2] , [3] , [4] , [5] , [6] , [7] , [8] , [9] , [10] ]. They can be classified according to the kind of coupling between the electric circuit and the mechanical elements.…”

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confidence: 99%

Nonlinear dynamics of two electromechanical arms acting discontinuously on a balloon under the action of a sinusoidal excitation

Ebanda,

Tchakui,

Woafo

2024

Heliyon

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“…When quantifying the probability of failures, we can start from past events. We should also consider events that have not occurred before (Tanaka et al, 1983, Postnikova et al, 2022. The method that is suitable for assessing causes of critical systems is the Fault Tree Analysis (FTA) method (Markulik et al, 2021a).…”

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confidence: 99%

Reducing the Probability of Failure in Manufacturing Equipment by Quantitative FTA Analysis

Bujna,

Prístavka,

Lee

et al. 2023

Agricultural Engineering

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Fault Tree Analysis (FTA) is a method that directly focuses on the modes of failures. The FTA is a graphical representation of the major faults or critical failures associated with a product, as well as the causes for the faults and potential countermeasures. The aim of this research paper is to calculate the probability of the top event – the failure of the process using FTA and propose a technique to prioritize factors for action design and reduce the likelihood of a top event failure based on manufacturers' requirements. We have constructed a qualitative fault tree to produce office components packed and sealed in blister packs using a KOCH KBS-PL machine. We defined the top event G – the production of office components, packed and sealed in blister packs on the machinery KOCH KBS-PL. Then we defined events leading to top events down to individual failure factors. Based on the links between the fault tree and the probability of failure, we performed a quantitative analysis to determine the probability of failure of individual events. We found out that the probability of failure of G is 5.04%. Subsequently, we identified which factors most significantly reduce the resulting probability of failure of factor G. These are the factors: E – feed rate, F – cooling, AL – incorrect setting and D – break. It has been proven that by controlling these 4 factors, we can reduce the probability of failure of top event G to 2.36%, provided that effective measures are taken. The final proposal meets the requirements of several manufacturers for a fast, efficient, and cost-effective solution. We have created a proposal that saves time, has minimal software and hardware requirements, and is easy to use. The efficiency and effectiveness of the proposal was that we identified the weakest points in the fault tree that most significantly cause the top event to fail. This prioritized the factors for the design of the measures.

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The Grain Cleaning Production Lines’ Energysaving Operation Modes of Electromechanical Systems

Cited by 3 publications

References 28 publications

Improving Energy Efficiency of Grain Cleaning Technology

Improving Energy Efficiency of Grain Cleaning Technology

Nonlinear dynamics of two electromechanical arms acting discontinuously on a balloon under the action of a sinusoidal excitation

Reducing the Probability of Failure in Manufacturing Equipment by Quantitative FTA Analysis

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