Forecasting of the Holes Shape Accuracy of Thin-Walled Body Parts Through the Application of Artificial Neural Networks

7th International Scientific and Practical Conference on Innovations in Mechanical Engineering

机械制造;材料科学

Kalistru, V.A.^1 ; Ovcharenko, A.G.^1 ; Firsov, A.M.^1

Biysk Technological Institute (Branch), Altai State Technical University N.a. I.I. Polzunov, Trofimova street, 27, Biysk, Russia^1

关键词: Basic shapes;    Body parts;    Design stage;    Group process;    Input and outputs;    Technological process;    Thermal deformation;    Thin-walled;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/126/1/012007/pdf
DOI  :  10.1088/1757-899X/126/1/012007

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this paper is proposed a method to predict deviations of accuracy of a basic shape of holes due to a thermal deformation (TD) at the design stage of the technological process. Proposed method of control of technological process consists of two stages: the first stage (auxiliary) is based on the finite element method (FEM), the second (main) - on the modeling of artificial neural network (Ann). In this paper is developed an algorithm of calculation of input and output parameters of the network using LS-DYNA. A structure of the Ann to predict and to adjust a trajectory of a movement of a tool at the preparation stage of the technological process for work pieces included in group process is invented in this article.