VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1631
Title: | Comparison of humping-susceptibility of the alloys almg4,5mn and alsi12 in thin wall wire arc additive manufacturing | Authors: | Tran Nam Anh | Keywords: | Distribution system | Issue Date: | 2022 | Abstract: | According to recently developed algorithms and the powerful assistance of modern hardware technology, machine learning applications have recently seen an incredible growth in both quantity and quality to effectively help developers in modern times. Machines now have a better understanding of the feelings and behaviors that underlie big volumes of data. In fact, it is not always necessary to completely understand the underlying physical models in order to address today's challenges. This enables developers to produce more applications and apply them to industrial solutions in a number of different ways. Through the following presentations, research processes and applications of artificial intelligence systems in industry will be explored. |
URI(1): | https://epub.vgu.edu.vn/handle/dlibvgu/1631 |
Appears in Collections: | Electrical Engineering and Information Technology (EEIT) Electrical Engineering and Information Technology (EEIT) Electrical Engineering and Information Technology (EEIT) |
Files in This Item:
File | Description | Size | Format | Existing users please Login |
---|---|---|---|---|
Comparison of humping-susceptibility of the alloys almg4,5mn and alsi12 in thin wall wire arc additive manufacturing.pdf | 4.87 MB | Adobe PDF |
Items are protected by © Copyright of Vietnamese - German University Library