Details
| Original language | English |
|---|---|
| Pages (from-to) | 419-429 |
| Number of pages | 11 |
| Journal | Production Engineering |
| Volume | 12 |
| Issue number | 3-4 |
| Publication status | Published - 7 Feb 2018 |
Abstract
In this paper, the investigation of thin flash generation in precision forging process of an aluminum long flat part is described. The aim was to derive a predictive simulation method for thin flash generation in order to increase both process and part quality in the future. The forging processes were varied by use of different preforms with equal volumes but different mass distributions while using the same final part geometry. The experimentally forged parts were analyzed concerning the amount and part area of the generated thin flash. The conducted FE simulations were analyzed concerning the hydrostatic pressure values p in the part areas near to the tool gap between upper and lower die immediately before form-filling. For a more detailed comparison, single p values were included to hydrostatic pressure functions P. The comparison between the P functions and the experimentally determined thin flash height shows, that high pressure values as well as high gradients of the P functions indicate less thin flash generation. The method therefore allows a qualitative prediction of thin flash generation. It can provide two kind of information. First: The prediction of the specific locations where thin flash is likely to occur in one final part by use of one single preform. Second: The qualitative prediction of the specific final part areas were thin flash is likely to occur depending on different preform geometries. This method will decreases the necessity of time-consuming forging trials and can shorten the preform designing process in the future.
Keywords
- Aluminum, FEA, Flashless precision forging, Forging, Predictive simulation method
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Engineering, Vol. 12, No. 3-4, 07.02.2018, p. 419-429.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Development of a predictive simulation method for thin flash generation in flashless precision forging processes of aluminum parts using FEA and experiments
AU - Richter, Johannes
AU - Stonis, Malte
AU - Langner, Jan
AU - Blohm, Thoms
AU - Behrens, Bernd Arno
N1 - Funding information: The Research Project “ProGrAl” (STO 1011/4 ? 1) has been funded by the German Research Foundation (DFG). The authors would like to thank the German Research Foundation (DFG) for the financial and organizational support of this Project. The authors declare that they have no conflict of interest.
PY - 2018/2/7
Y1 - 2018/2/7
N2 - In this paper, the investigation of thin flash generation in precision forging process of an aluminum long flat part is described. The aim was to derive a predictive simulation method for thin flash generation in order to increase both process and part quality in the future. The forging processes were varied by use of different preforms with equal volumes but different mass distributions while using the same final part geometry. The experimentally forged parts were analyzed concerning the amount and part area of the generated thin flash. The conducted FE simulations were analyzed concerning the hydrostatic pressure values p in the part areas near to the tool gap between upper and lower die immediately before form-filling. For a more detailed comparison, single p values were included to hydrostatic pressure functions P. The comparison between the P functions and the experimentally determined thin flash height shows, that high pressure values as well as high gradients of the P functions indicate less thin flash generation. The method therefore allows a qualitative prediction of thin flash generation. It can provide two kind of information. First: The prediction of the specific locations where thin flash is likely to occur in one final part by use of one single preform. Second: The qualitative prediction of the specific final part areas were thin flash is likely to occur depending on different preform geometries. This method will decreases the necessity of time-consuming forging trials and can shorten the preform designing process in the future.
AB - In this paper, the investigation of thin flash generation in precision forging process of an aluminum long flat part is described. The aim was to derive a predictive simulation method for thin flash generation in order to increase both process and part quality in the future. The forging processes were varied by use of different preforms with equal volumes but different mass distributions while using the same final part geometry. The experimentally forged parts were analyzed concerning the amount and part area of the generated thin flash. The conducted FE simulations were analyzed concerning the hydrostatic pressure values p in the part areas near to the tool gap between upper and lower die immediately before form-filling. For a more detailed comparison, single p values were included to hydrostatic pressure functions P. The comparison between the P functions and the experimentally determined thin flash height shows, that high pressure values as well as high gradients of the P functions indicate less thin flash generation. The method therefore allows a qualitative prediction of thin flash generation. It can provide two kind of information. First: The prediction of the specific locations where thin flash is likely to occur in one final part by use of one single preform. Second: The qualitative prediction of the specific final part areas were thin flash is likely to occur depending on different preform geometries. This method will decreases the necessity of time-consuming forging trials and can shorten the preform designing process in the future.
KW - Aluminum
KW - FEA
KW - Flashless precision forging
KW - Forging
KW - Predictive simulation method
UR - http://www.scopus.com/inward/record.url?scp=85041565765&partnerID=8YFLogxK
U2 - 10.1007/s11740-018-0803-6
DO - 10.1007/s11740-018-0803-6
M3 - Article
AN - SCOPUS:85041565765
VL - 12
SP - 419
EP - 429
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 3-4
ER -