Torsional vibration optimization design of fracturing truck transmission shaft based on improved ant colony algorithm

Abstract

Torsional vibration of the transmission system on the fracturing truck is an important factor triggering the vibration of the whole equipment. In this study, the sensitivity analysis of the total parameter model of the transmission system is conducted to find the structural parameters of the transmission system that have a greater influence on the response of torsional vibration. The ant colony optimization (ACO) algorithm is introduced into the continuous domain optimization problem by adding a coding disk, and the improved heuristic function is introduced. The improved ACO has better global search capability and convergence speed compared with the traditional algorithm. After 25 times of optimization search, the global optimal combination of optimized parameters is obtained, and the torsional vibration amplitude at the engine crankshaft output is reduced by 17.2%.