In the past decades, many graph drawing techniques have been proposed for generating aesthetically pleasing layouts. However, it remains a challenging task since different layout methods tend to highlight characteristics of graphs. Recently, studies on deep-learning-based algorithms emerged but they are often not generalizable arbitrary graphs without retraining. this article, we propose Convol...

In this paper, the energy absorption features of tri-layer explosive-welded deep-drawn cups subjected to quasi-static axial compressive loading are investigated numerically and experimentally. To produce the cups, tri-layer blanks composed of aluminum and stainless steel alloys were fabricated by an explosive-welding process and formed by a deep drawing setup. The quasi-static tests were carrie...