Methodology of the Choice of Optimum Parameters of Technological Process on Experimental to Data

Yu. K. Mashunin^1,

¹Far Eastern Federal University, Vladivostok, Russia

Cite this paper:
Yu. K. Mashunin. Methodology of the Choice of Optimum Parameters of Technological Process on Experimental to Data. American Journal of Modeling and Optimization. 2019; 7(1):20-28. doi: 10.12691/ajmo-7-1-4

Abstract

The article presents information modeling of the technological process based on vector optimization methods, which were developed in the author’s early works. As a test example, the technology “to predict and select the best welding parameters for hybrid laser arc welding (HLAW)” was used, “to predict and select the best welding parameters during the hybrid arc welding (HLAW)”, which was published in DOI:10.12691/ajmo-6-1-2. The mathematical model of the technological process is constructed as a vector problem of mathematical programming. In the model, criteria (characteristics of the technological process) are formed under certainty conditions (the functional dependence of each characteristic and restrictions on parameters is known) and in conditions of uncertainty (there is not enough information about the functional dependence of each characteristic on parameters). We formed a test case in which the initial parameters correspond to the parameters from DOI:10.12691/ajmo-6-1-2. The modeling methodology is shown in a numerical example of a technological process with two parameters and three characteristics. The constructed vector nonlinear programming problem is implemented in the MATLAB system.

Keywords:
modeling technological process vector optimization optimum decision-making the decision with a criterion priority

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References:

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