Decoding of Factorial Experimental Design Models Implemented in Production Process
作者机构：University of Novi SadFaculty of Technical SciencesNovi Sad 21000Serbia Comenius University in BratislavaFaculty of ManagementBratislava820054 Slovakia University Business AcademyFaculty of Economics and Engineering ManagementNovi Sad 21000Serbia
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2022年第71卷第4期
页 面：1661-1675页
核心收录：
学科分类：07[理学] 070202[理学-粒子物理与原子核物理] 0702[理学-物理学]
主 题：Mathematical modeling design of experiments functions coding decoding variable regression coefficienta
摘 要：The paper deals with factorial experimental design models *** the ease of calculation of the experimental mathematical models,it is convenient first to code the independent *** selecting independent variables,it is necessary to take into account the range covered by each.A wide range of choices of different variables is presented in this *** calculating the regression model,its variables must be returned to their original values for the model to be easy recognized and *** the paper,the procedures of simple first order models,with interactions and with second order models,are presented,which could be a very complicated *** without and with the mutual influence of independent variables *** encoding and decoding procedure on a model with two independent first-order parameters is presented in ***,the procedure of model decoding is presented in the experimental surface roughness parameters models’determination,in the face milling machining process,using the first and second order model central compositional experimental *** simple calculation procedure is recommended in the case ***,a large number of examples using mathematical models obtained on the basis of the presented methodology are presented throughout the paper.
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