Optimization of Technological Parameters of Robotized Mechanical Processing Processes of Aviation Products

Efimov, A.Y.; Gorkavyy, M.A.; Egorova, Valeria P.; Gorkavyy, Alexander

doi:10.1007/978-3-030-69421-0_22

Cited by 4 publications

(2 citation statements)

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“…Technological operations of placing loads (blocks) on pallets, as well as other operations of a similar class, such as conveyor assembly operations (for example, in the automotive industry, aircraft manufacturing), painting, radiography, etc., are characterized by a narrow range of changes and can be, in most restrictions, a small number of typical movements (Parisi et al, 2020), in contrast to the processes of machining and welding (Frolov, 2021a;Efimov et al, 2021;Gorkavyy et al, 2021). In such technological processes, the movements of the robot are carried out in a very limited segment of its working area.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, the issues of searching for algorithms for optimizing the process of assembling cargo intended for the formation of a strategic reserve, in the direction of reducing the cost of storage by reducing the electric power costs of IR, are very relevant. The approach proposed in this paper is based on the results obtained earlier by the authors of the study of the processes of increasing the energy efficiency of robotic machining and welding (Efimov et al, 2021;Gorkavyy et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Automated method based on a neural network model for searching energy-efficient complex movement trajectories of industrial robot in a differentiated technological process

Gorkavyy,

Egorova

et al. 2023

Front. Energy Res.

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Purpose of the work: Researching possibility of creating a method for improving the energy efficiency of differentiated robotic technological process (RTP) in the food industry. The high rates of development of production processes robotization, including in the food industry, leading to increase the cost of electrical energy, determine the research tasks relevance in finding energy-efficient methods for controlling industrial robots.Methodology: The proposed approach is based on principles of object-oriented design and possibility of classifying robotic technological process: Applying specific model sets and methods to improve energy efficiency to individual classes. The existing possibility of energy consumption synthesizing models of robots inside differentiated robotic technological process, such as stacking loads, in reduced form, made it possible to use neural network methods to identify non-linear dependencies. At the same time, training sample for intelligent modules was formed on the basis of classical experiment planning algorithms. The synthesis of methods, models and procedures was implemented on the basis of high-level programming languages C++, MATLAB.Results: A mathematical model and automated algorithms for its synthesis are proposed, which make it possible to adjust robotic technological process simulation model taking into account its specifics and implement a method for finding the optimal parameters of its functioning. To confirm the effectiveness of proposed solution, the obtained neural network model and optimization method were tested on real robotic technological process, and the calculation of economic efficiency of proposed solution was also given.Conclusion/recommendations: The application of this approach will significantly reduce energy costs for robotic operations in the food industry.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%