Open AccessA Method of Managing Technological Heredity in the Additive Growing of Objects from Cold-Resistant Materials on a Machine with Technology for Electric Arc Welding
Author(s) -
Д. А. Шатагин,
Yu. G. Kabaldin,
P. V. Kolchin
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/969/1/012100
Subject(s) - process (computing) , artificial neural network , acoustic emission , stability (learning theory) , mechanical engineering , arc (geometry) , electric arc , welding , computer science , attractor , fractal , heredity , materials science , engineering , artificial intelligence , composite material , mathematics , physics , mathematical analysis , electrode , quantum mechanics , machine learning , biology , genetics , operating system
The article considers the issue of managing print parameters to minimize the impact of technological heredity on the layers of the formed object. An analysis of the stability of the 3D printing process was carried out using acoustic emission data. The fractal dimensions of the acoustic emission attractor for a stable and unstable 3D printing process have been obtained. A method for controlling process stability by tracking 3D printing modes and assessing their stability using an artificial neural network is proposed. The mechanical properties of printed samples were evaluated under normal conditions and at low temperatures in the Arctic and the far north.