Affiliation:
1. Moscow Aviation Institute (National Research University)
Abstract
The article discusses the control of technological parameters for the process of isothermal forging of cross-ribbed panels. To ensure defect-free manufacturing of panels, strict adherence to the temperature and rate conditions is required. However, due to errors and external disturbances, the measuring equipment does not often provide reliable information. In addition, the temperature of the metal in the deformation zone can only be estimated indirectly. Therefore, by analogy with the Kalman filter, it is proposed to combine data from sensors and the results calculated using the finite element method. For this purpose, the accuracy and speed of calculation of the finite element model were studied in four popular specialized software products: DeForm, QForm, Forge NxT, Simufact Forming. Comparison of the results of the analysis made it possible to confirm the high degree of reliability of modeling and the potential possibility of controlling technological parameters for the production of defect-free panels by the suggested way. It is shown that the finite element method in the two-dimensional formulation of the problem provides an acceptable calculation speed for monitoring the progress of operations in real time. The obtained results are relevant for metallurgical enterprises for which there are increased requirements for compliance with the range of permissible changes in technological parameters during production processes.
Publisher
FSUE VNIIMS All-Russian Research Institute of Metrological Service
Reference20 articles.
1. Ai Z. Y., Jiang Y. H., Zhao Y. Z., Mu J. J., Engineering Analysis with Boundary Elements, 2022, vol. 137, pp. 1–15. https://doi.org/10.1016/j.enganabound.2022.01.006
2. Galkin V. I., Vasil’ev V. A., Paltievich A. R., Borunova T. I., Shelest A. E., The possibility of managing the process of isothermal forging free-defect ribbed panels of 01420 alloy, Technology of Light Alloys, 2017, no. 1, pp. 84–90. (In Russ.)
3. Peng L. X., Tao Y.-P., Li H.-Q., Mo G.-K., Mathematical Problems in Engineering, 2014, vol. 2014, 548708. https://doi.org/10.1155/2014/548708
4. Kablov E. N., Antipov V. V., Oglodkova J. S. et al., Metallurgist, 2021, vol. 65, pp. 72–81. https://doi.org/10.1007/s11015-021-01134-9
5. Rioja R. J., Liu J., Metallurgical and Materials Transactions A, 2012, vol. 43, pp. 3325–3337. https://doi.org/10.1007/s11661-012-1155-z