Influence of introduction of robotics on increase in efficiency of electrochemical production

Кашапов, Н. Ф.; Khafizov, I. I.; Nurullin, I. G.; Sadykov, Z. B.

doi:10.1088/1757-899x/412/1/012034

Cited by 14 publications

(3 citation statements)

References 5 publications

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“…The use of an industrial robot gives an unlimited range of possibilities for workpiece processing. The robotic system can be used without readjustment for auxiliary operations [16][17].…”

Section: Discussionmentioning

confidence: 99%

Combination of Myoware Muscle Sensor, Bluetooth Module and Analog Receiver

Artemyev¹,

Bikmullina²

2020

International Journal of Engineering Research and Technology

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“…The use of an industrial robot gives an unlimited range of possibilities for workpiece processing. The robotic system can be used without readjustment for auxiliary operations [16][17].…”

Section: Discussionmentioning

confidence: 99%

Combination of Myoware Muscle Sensor, Bluetooth Module and Analog Receiver

Artemyev¹,

Bikmullina²

2020

International Journal of Engineering Research and Technology

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“…Some studies can be found in the literature for this purpose. Kashapov et al 24 showed the significance of economic justifications by using a robotic system and automated an ECM process. One of the most justifications are reduction of time of a production period, high efficiency and reduced the consumed energy.…”

Section: Introductionmentioning

confidence: 99%

Implementation of robotic electrochemical machining in freeform surface machining with material removal rate prediction using different machine learning algorithms

Cebi,

Demirtas,

Kaleli

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Robots are used as machine tools via some advanced properties such as versatility, adaptation and mobility with other control systems. These advantages can be the solution to overcome the encountered problems in electrochemical machining (ECM). In this manner, the usability of a new machining method that is Robotic electrochemical machining (RECM) in freeform surface machining is investigated. Firstly, ECM parameters and their effects on the material removal rate (MRR) is discussed and compared with the literature. Experimental results showed that MRR variation for RECM acts similar characteristics with conventional ECM processes. The increase in voltage, electrolyte conductivity and feed rate increase MRR. The highest effect on MRR for both materials is voltage, electrolyte conductivity, and feed rate, respectively. Secondly, three different machine learning models are designed as Gaussian Process Regression (GPR), regression tree and deep neural network (DNN) models and the relationships between their actual and predicted values are discussed. The performance of the DNN model is better than other models with a correlation of determination values equal for Inconel 718 and AISI 1040. Furthermore, the DNN model with four input parameters outperforms developed models such as GPR and DTR with optimized hyperparameters regarding the R2, MSE, RMSE, and MAE. The change in height in the Z-axis and the surface roughness of the machined surfaces are also measured. The results show that the decrease in the Z axis is homogeneous, that is, uniform machining occurs and also the surface roughness has improved. Therefore, RECM can be a solution to machine free-form surfaces for different materials with high predictability.

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“…They are precise, error-free and fast. They can work 24 hours a day with the lowest lighting and the lowest temperature in the shop, thereby saving on utility costs [6].…”

Section: Industrial Robots and The Advantages Of Their Introduction I...mentioning

confidence: 99%

Study of the Influence of the Modern Robotisation Level on the Challenges and Risks of the Economic Security of an Industrial Enterpriseg

Andrusevich

Omarov

Starodubcev

et al. 2022

ITSSI

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Industry 4.0 envisages a comprehensive transformation of all industries by combining digital technologies and the Internet with traditional industries. It is important to emphasize that Industry 4.0 relies heavily on robotics. Robotization opens up new opportunities for an industrial enterprise, completely transforming the technologies and organization of its production process and business model. Many of today’s threats to the economic security of an industrial enterprise can be mitigated due to digitalization and flexible robotization of production and promotion of goods. But at the same time, processes related to the robotization of the economy create new threats to economic and social security. The consequences of their influence and the mechanisms of their leveling are the subject of research. The goal of the work is to study the impact of robotics on the economic security of an industrial enterprise. The following tasks are solved in the article: an overview of the areas of application and trends in the development of industrial robots; overview of the robotics market; analysis of risks and threats to the economic security of industrial enterprises arising as a result of robotization. The methods of system analysis, graphic generalization and classification are used. The results of the work include an analysis of the current state of robotics and the introduction of industrial robots in production, a brief analysis of the robotics market and a study of external challenges, uncertainties and risks arising from robotics: political-economic, technological, financial and environmental. Conclusions. The development of robotics is a priority direction for innovative industrialization not only in the long term, but also in the short term. Robotics can also become a locomotive for general economic growth, given that the most advanced developed countries are currently creating their own robotic enterprises and transferring production from developing countries to them. However, in the context of robotization, it should be taken into account that these processes, along with potential benefits for the industrial enterprise, can also create new threats to economic and social security.

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Influence of introduction of robotics on increase in efficiency of electrochemical production

Cited by 14 publications

References 5 publications

Combination of Myoware Muscle Sensor, Bluetooth Module and Analog Receiver

Combination of Myoware Muscle Sensor, Bluetooth Module and Analog Receiver

Implementation of robotic electrochemical machining in freeform surface machining with material removal rate prediction using different machine learning algorithms

Study of the Influence of the Modern Robotisation Level on the Challenges and Risks of the Economic Security of an Industrial Enterpriseg

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