Reduction of Material Usage in 3D Printable Structures Using Topology Optimization Accelerated with U-Net Convolutional Neural Network

Today’s 3D printers allow the creation of very advanced structures from various materials, starting from simple plastics up to metal alloys. Since the printing time and amount of material used to create structures are considered very important in terms of cost and energy consumption, it is better t...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	J. Rasulzade, Y. Maksum, M. Nogaibayeva, S. Rustamov, B. Akhmetov
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	al-Farabi Kazakh National University 2022-12-01
Saila:	Eurasian Chemico-Technological Journal
Gaiak:	Material reduction 3D printing Topology optimization Convolutional neural network
Sarrera elektronikoa:	https://ect-journal.kz/index.php/ectj/article/view/1471
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!