Calculation of the Required Power of Electric Motors for Overhead Crane Movement Mechanisms Using the Statistical Method

Abstract

The aim of this study is to determine the functional dependence for the calculation of the required power of the electric motor of the traveling mechanism of the overhead traveling crane on the load capacity and span. The set aim is achieved by solving the following problems: figuring out how to calculate the power of the electric motor of the overhead traveling crane mechanism by the tradi-tional methodology; selecting constants known from the initial data and variables that require addi-tional calculation; collecting and arranging statistical data - values of variables for overhead cranes of different spans and load capacities; determining regression equations based on statistical data - func-tions of two variables from the load capacity and span; substituting the equations for the power of the overhead traveling crane mechanism from the load capacity and span. In the process of solving the set tasks, it was found that the greatest difficulty is the determination of static resistance and crane mass. Traditional calculation of these parameters requires the use of additional reference data and making design decisions of high responsibility. When searching for regression equations, the cubic model is-used, which provides high accuracy and does not overload the equation with summands. The most im-portant result is the derivation of the final expression for determining the motor power as a function of two variables - load capacity and span. The importance of the obtained results is that the proposed method of calculation significantly reduces the time for the selection of the electric motor in the design of a new crane, because there is no need to calculate or select additional parameters that are included in the traditional calculation. The proposed regularity is easier to integrate into computer-aided design systems. Since the calculation was based on statistical data of cranes manufactured and successfully operating, the probability of erroneous calculation is practically excluded.