scholarly journals FAST AND COST EFFICIENT MEASURING OF GEOMETRY AND TEMPERATURE FOR OPEN-DIE FORGING

2019 ◽  
Vol 19 (3) ◽  
pp. 83-94
Author(s):  
Mirko RIEDEL ◽  
Torben WIESE ◽  
Arvid HELLMICH ◽  
Steffen IHLENFELDT

In open-die forging it is state of the art to use simulation tools for creating forging plans and setpoint values for the forging press and the automated part manipulator. These forging plans define required positions and forces. Therefore, the process can be fully automated. However, even small variations of not considered influence parameters lead to different forging results and thus to a discontinuous process. Influencing factors are, e.g. material parameter deviations, uncertainties in force measurements or variations in the part temperature due to varying environmental conditions. This paper presents an approach for a fully automatic open-die forging process with respect to actual conditions, based on a parallel measurement of the workpiece geometry and temperature and a “process-real-time” adaptation on the controller system. The focus of this work is the development of a measuring strategy and an according sensor setup for the combined temperature and geometry measurement of the workpiece. In addition, the structure, the characteristic features of the components and the beam path of the sensors scanning units are shown. Furthermore, first experimental results for the alignment of the beam path are presented. In the outline, the setup and calibration strategy of the measurement system are stated.

Author(s):  
Lorenz Quentin ◽  
Rüdiger Beermann ◽  
Kai Brunotte ◽  
Bernd-Arno Behrens ◽  
Markus Kästner ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
pp. 528-534
Author(s):  
Ryszard Dindorf ◽  
Jakub Takosoglu ◽  
Piotr Wos

Abstract The main task of the study was to develop and implement predictive control in the hot open die forging process of heavy, large, and hard deformable steel forgings on an 80 MN hydraulic press at the Forged Products Department (FPD) of Celsa Huta Ostrowiec (CHO). The predicted hot flow stresses and the predicted deformation/forging forces as a function of the parameters of the elongation forging process were determined. The predicted parameters of the forging process were included in the dynamic model of the hydraulic forging press. Generalized predictive control (GPC) algorithm of the hot open-die forging process on the hydraulic press was developed. The use of predictive control solved the uncertainty of the hot open forging process, which depends on the dimensions, shapes, and material properties of the forgings, as well as the parameters of the hydraulic press and forging tools.


1999 ◽  
Author(s):  
T. J. Nye

Abstract The open die forging process can provide a number of benefits if its costs can be made competitive through automation. This paper describes a control strategy for automated open die forging forming sequence generation. An upper bound solution for forging with radiused tools is developed, along with a method for using this solution to estimate forming results, a necessary component of the control strategy. Model predictions are compared to physical experimental data using plasticine, and show good agreement.


Author(s):  
A. Shirizly ◽  
G. Harpaz ◽  
A. Shmuel
Keyword(s):  

2021 ◽  
pp. 489-498
Author(s):  
Volodymyr Kukhar ◽  
Oleg Vasylevskyi ◽  
Olha Khliestova ◽  
Ivan Berestovoi ◽  
Elena Balalayeva

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