Microstructure evolution of 42CrMo4 during hot forging process of hollow shafts for wind turbines

2019 ◽  
Vol 106 (1-2) ◽  
pp. 511-517
Author(s):  
L. L. Costa ◽  
A. M. G Brito ◽  
A. Rosiak ◽  
L. Schaeffer
2013 ◽  
Author(s):  
Shi-Hong Zhang ◽  
Hai-Yan Zhang ◽  
Hong-Wu Song ◽  
Ming Cheng

2011 ◽  
Vol 130-134 ◽  
pp. 2326-2329
Author(s):  
Wen Lin Chen ◽  
Li Jing Peng ◽  
Yong Ma ◽  
Shao Yang Wang ◽  
Zhi Jie Li ◽  
...  

In order to get high quality forgings, it is significant to predict the microstructure evolution during hot forging process accurately. In this study, a simulation model is built by combining FEM with the dynamic recrystallization model of 42CrMo, and the finite element model is proved to be reliable by a serial of upsetting deformation experiment. Then the distributions of microstructure evolution are obtained on upsetting process. Upsetting is beneficial to refine the grain size and drawing can make the distribution of grain size homogeneous. By comparing the simulation results with experiments, the distributions of microstructure are a close match in the middle part of steering arm. The forgings formed by this process have a good microstructure and have high comprehensive mechanical properties.


2010 ◽  
Vol 97-101 ◽  
pp. 176-181 ◽  
Author(s):  
Wen Wu He ◽  
Jian Sheng Liu ◽  
Hui Qin Chen ◽  
Hui Guang Guo

In order to investigate microstructure evolution of Mn18Cr18N retaining ring during the multi-fire forging, a series of constitutive equations for dynamic recrystallization, static recrystallization, meta-dynamic recrystallization and grain growth were developed and implemented into a Deform FE simulator. The single-axial hot upsetting test has been performed to investigate the process of microstructure evolution and to show validity and effectiveness of the developed program. Then based on the modified boundary condition, hot forging process for 300MW retaining ring was put into effect. The results have displayed that the microstructure prediction tool was validated by comparing the simulated grain structure with that of the experiment and it could provide a reference to optimize forging processes in the production of retaining ring.


2020 ◽  
Vol 107 (1-2) ◽  
pp. 39-47
Author(s):  
Luana De Lucca de Costa ◽  
Alberto Moreira Guerreiro Brito ◽  
André Rosiak ◽  
Lirio Schaeffer

2014 ◽  
Vol 81 ◽  
pp. 480-485 ◽  
Author(s):  
Takefumi Arikawa ◽  
Daisuke Yamabe ◽  
Hideki Kakimoto

2012 ◽  
pp. 625-631
Author(s):  
Michael Stoschka ◽  
Martin Stockinger ◽  
Hermann Maderbacher ◽  
Martin Riedler

Author(s):  
Panuwat Soranansri ◽  
Tanaporn Rojhirunsakool ◽  
Narongsak Nithipratheep ◽  
Chackapan Ngaouwnthong ◽  
Kraisuk Boonpradit ◽  
...  

In hot forging industry, the process design and the billet size determination are very crucial steps because those steps directly influence both the product quality and material utilization. The purpose of this paper was to propose a technique used to design the hot forging process for the manufacturing of the talar body prosthesis. The talar body prosthesis is one of the artificial bones, which its geometry is a free form shape. In this study, the Finite Element Modeling (FEM) was used as a tool to verify the proposed design before implementation in a production line. In addition, an initial billet was determined the optimum size in the FEM by varying the mass ratio factor, the diameter, and the length. It was found that the mass ratio factor is a very useful guideline since the optimum size is quite close to the provided size from the guideline. The FEM results showed that the dimensions of the initial billet significantly affect the complete metal filling in the die cavity. Moreover, the optimum size between the diameter and length can reduce the material waste in the hot forging process of the talar body prosthesis. Finally, the experimental results of the hot forging process showed that the proposed process design with the optimum size of the initial billet is achieved in order to manufacture the talar body prosthesis and the material utilization of the new proposed process is improved from the traditional process by 2.6 times.


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