МАТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ НА ОСНОВЕ ПЛАНИРОВАНИЯ ПОЛНОФАКТОРНОГО ЭКСПЕРИМЕНТА ДЛЯ ИССЛЕДОВАНИЯ ПАРАМЕТРОВ ХЛОПКОВОГО ВОЛОКНА ПОСЛЕ ДЖИНИРОВАНИЯ

Abstract

The main technological operations preceding fabric production are multifactorial. To obtain mathematical models of multifactor processes at minimum number of experiments statistical methods of experiment planning are very effective, as many important characteristics of these processes are random variables, the distribution of which closely follows the normal law. In this case, the characteristic features of experiment planning are the desire to minimise the number of experiments, simultaneous variation of all the factors under study according to special rules – algorithms, the use of special mathematical apparatus, the choice of strategy that allows making informed decisions after each series of experiments.  Conducting a full factor experiment, in which all possible combinations of levels are realised, provides at the first stage the establishment of the main (zero) levels of factors and intervals of their variation, which are taken as initial in the experiment plan. This article considers the mathematical model of the technological process of fibre separation (ginning) in the primary processing of cotton.