Toz Enjeksiyon Kalıplamada 316 L Besleme Stokunun Çekme Yüzdesinin Yapay Sinir Ağları İle Tahmin Edilmesi
Year: 2020
Type: article
Abstract: Powder injection molding (PIM) has emerged as a production method to overcome some of the mentioned obstacles such as geometric design, multi-step manufacturing process, etc.A final linear decrease in dimensions of components in PIM is known as shrinkage.The primary shrinkage occurs in the last step, sintering, which is intended to be direct.The shrinkage is the ratio of the first dimension of the part to the final dimension.Shrinkage is a significant value to examine the microscopic exchange rates during the sintering.In this study, the shrinkage ratio after the sintering process was investigated for 316 L feedstock depending on the powder loading, particle size distribution (Sw), particle size (D50), and sintering heating rate.The prediction of the shrinkage ratio was carried out by the Matlab Software.Experimental shrinkage ratios for 316L feedstock were compared with the results obtained using Artificial Neural Networks (ANN).As a result of this study, the mathematical formula has been produced for calculation of the shrinkage ratio by performing regression analysis for 316L feedstock.It was is concluded that before carrying out the sintering process in PIM, the shrinkage ratio can be calculated based on parameters such as powder loading, particle size (D50), and size distribution.
Authors: Mehmet SUBAŞI, Oguz YILMAZ, Kamran SAMET, Asghar SAFARİAN, Çetin KARATAŞ
Institutions: Gazi University, Islamic Azad University, Tehran
Language: Turkish
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Gazi Üniversitesi
Award: G2876533826
OpenAlex ID: W3089957898