Optimization of washing machine kinematics, dynamics, and stability during spinning using a multistep approach
Artikel i vetenskaplig tidskrift, 2014

The vibrations originating from badly distributed load inside the drum are in this paper channeled into cost functions which are used as objectives for optimization. The defined kinematic cost function deals with performance of tub motion and can ensure margins to collision of parts inside the washing machine or constitute a step in the process to increase the machine capacity. The dynamic cost function measures transmitted vertical force to the hosting structure. Forces which cause noise and vibration impact on the surroundings. Two different cost functions for stability of a washing machine in the sense of walking avoidance are also presented. The difference between these formulations is studied with an example, which shows that although it is costly to evaluate the second formulation it will give more freedom to find good washing machine designs. Three different applied problems which aim to optimize different suspension designs for new and existing washing machines are presented. For effective numerical computation of the complex multiobjective optimization problems a multistep approach for washing machine structural optimization is presented. With the help of parallel calculation of the response of dynamic models implemented in Adams\View, the approach has been used to solve the presented problems. Results derived from the solution to the optimization problems have been used in development of new washing machines which afterwards have been put on the market.

Suspension system

Washing machine

Vibrations

Pareto front

Multiobjective optimization

Parallel computation

Författare

Thomas Nygårds

Dynamik

Viktor Berbyuk

Dynamik

Optimization and Engineering

1389-4420 (ISSN)

Vol. 15 2 401-442

Ämneskategorier

Teknisk mekanik

Beräkningsmatematik

Styrkeområden

Produktion

Fundament

Grundläggande vetenskaper

DOI

10.1007/s11081-012-9206-2

Mer information

Skapat

2017-10-07