Use of hand-held sanding machines can cause excessive vibrations, which may induce various diseases, so the vibrations should be suppressed in the design process. This work focuses on the vibration optimization of an orbital sander based on a surrogate model. Housing vibrations along three axes of this machine are tested at four different points, and the experimental results are in good agreement with the acceleration values obtained from the simulated model established in ADAMS, which demonstrates the higher accuracy of the dynamic model. In order to reduce the vibrations, an automatic optimization strategy is presented by integrating four pieces of software in ISIGHT platform. Thus, the geometrical parameters of the soft nylon posts and the counterbalance in this machine are selected as design variables, housing accelerations of six separated directions as criteria. To improve the optimization efficiency, a surrogate model is set up based on Elliptical Basis Functions by selecting sample points with the Optimal Latin Hypercube DOE technique; and the influence distribution analysis of the design variables on the housing vibrations is performed according to these DOE data, which suggests that the counterbalance parameters are the key factors to the housing vibrations. Furthermore, error analysis of this approximate model shows that it is precise enough to conduct the following optimization. Consequently, the optimization results show that housing vibrations are reduced by 48%, 37% and 36% in three different directions, respectively, with the better design variables of the orbital sander.
Structural and Multidisciplinary Optimization – Springer Journals
Published: Nov 29, 2017
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