Abstract
To reduce the difficulty of adjusting the parameters of the multi-inclined roller hub straightening machine and improve the straightening accuracy of the steel bar, this article proposes a new roller arrangement method. Based on a three-factor, six-level orthogonal test table, a simplified model of the steel bar straightening system is established, and explicit dynamic straightening simulations of a 12-mm high-strength HRB400 steel bar at a straightening speed of 1.5 m/s are conducted. The influence of roller tilt angle, bending amount and hub speed on the straightness of steel bars was analysed by PCA analysis and range analysis. Based on the simulation results, the index of steel bar inclusiveness is proposed, leading to the development of multi-objective optimisation models for both steel bar straightness and inclusiveness across different axes through partition fitting. The NSGA-II multi-objective genetic algorithm is employed for parallel computing, resulting in the identification of the optimal structural parameter combination. The research indicates that the bending amount has the greatest impact on the straightening accuracy of the steel bar, while the hub speed has the least influence. Combining the optimisation results with experimental analysis, it is concluded that a roller inclination angle of 52°, a bending amount of 0.5 mm, and a hub speed of 14 r/s yield the highest straightening accuracy for the steel bar.
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