Open AccessMulti-criteria optimization of metal pressure processes using experiment planning methods
Author(s) -
S. V. Byvaltsev
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/966/1/012122
Subject(s) - ranking (information retrieval) , extrusion , computer science , process (computing) , bar (unit) , a priori and a posteriori , task (project management) , product (mathematics) , process engineering , mathematical optimization , mechanical engineering , engineering , materials science , mathematics , metallurgy , machine learning , systems engineering , philosophy , physics , geometry , epistemology , meteorology , operating system
The main task of designing a technology of metal processing by pressure is accurate prediction and ensuring the desired properties of the finished product. However, they often encounter a situation when it is impossible to simultaneously ensure the optimal value of all process parameters and the resulting properties of the finished product. In this case, it is necessary to make an informed decision regarding the assignment of certain numerical values of these parameters. This article proposes to use the mathematical apparatus of experimental planning methods to implement multi-criteria optimization of metal pressure processes. Applying of correlation analysis, function of desirability and a priori ranking by the example of optimization of parameters of the process of hydromechanical extrusion of hard-to-deform alloys is shown. Results of multi-criteria optimization of the process of hydromechanical extrusion of bar blanks from aluminum alloy AMg5 (analog of Al-5056) with the purpose of minimizing the extrusion force, deformation non-uniformity and damage index of the resulting product are presented.