Abstract
The automation of the foundry industry in the framework of the forthcoming sixth technological system evolves through the introduction of: cyber-physical systems, industry internet, IoT industry, smart production, 4.0 industry, cloud calculations and neural networks. Currently, in the area of the foundry industry the manual labour still prevails at the stages of materials finishing processing. Cyber-physical systems based on manipulation robots are very efficient in solving tasks of grinding parts after casting. The positioning problem solution for precise approach of a part to the surface of a processing tool with addition of force control makes the system more complicated. The equipment of the manipulation robot with a control system on the basis of a neural network controller is considered assuring the solution to the inverse kinematics problem taking into account the force of processed part interaction with a grinding disc of the abrasive tool. The comparison of analytical and experimental solutions has shown that the precision of the abrasive machining is approximately uniform in the limits of normative values. In this case the complexity of the development of the control algorithm is significantly lower if the neural network control method is used.
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Arkhipov, M.V., Matrosova, V.V., Volnov, I.N. (2020). Automation in Foundry Industry: Modern Information and Cyber-Physical Systems. In: Radionov, A., Karandaev, A. (eds) Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-39225-3_41
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DOI: https://doi.org/10.1007/978-3-030-39225-3_41
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