Аутори:
1. Pavel Kovač, Faculty of Technical Sciences, Department for Production Engineering, Serbia
2. Borislav Savković, Faculty of Technical Sciences, Department for Production Engineering, Serbia
3. Lubomir Soos, Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering, Bratislava, Slovakia
4. M. Pokusova, Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering, Bratislava, Slovakia
5. Nenad Kulundžić, Faculty of Technical Sciences, Department for Production Engineering, Serbia
6. Dušan Ješić, International technology Management Academy, Novi Sad,

Апстракт:
High-chromium cast irons are used as abrasion resistant materials. Their wear resistance depends on quantity of carbides and the matrix supporting these carbides. The paper presents the results of cast irons of chemical composition (in wt. %) 19–22 Cr and 2–4.5 C alloyed by 1.7 Mo + 5 Ni + 2 Mn to improve their toughness, which were tested in working conditions of ferroalloys crushing. The paper also examines the machinability of surface grinding, where the tangential and radial component of the cutting forces are the function of the cutting elements as the output characteristic of the process. The elements of the cutting regime were the cutting depth, the feed movement speed and the lateral shift. For modeling was used 3 factorial model plan of experimental design and neural network.

Кључне речи:
cutting force,cast irons,grinding,mathematical model,neural network

Тематска област:
СИМПОЗИЈУМ А - Наука материје, кондензоване материје и физикa чврстог стања

Датум пријаве сажетка:
03.09.2021.

Конференцијa:
Contemporary Materials 2021 - Савремени материјали