Investigation of squeezing efficiency at washing machine

Turkey's population is approximately 75.5 million and the number of households is about 24.7 millionfor the year 2012 as of December (TUIK). The use of time-saving electrical household appliances that increase standards of living is increasing day by day due to growing metropolitan life and urbanization of small towns. With the increasing demand for energy in the use of household electricity consumption, generates about 25% of the overall electricity consumption indicated (TEDAŞ 2012). The largest energy consumers in the houses are household electrical appliances. Studies on the efficiency of household appliances continues for a long time. In this study, to determine the parameters affecting the efficiency of the washing machine squeezing, aimed to create experimental models and studies with CFD. In the first stage, the experimental apparatus was built, modeled and manufactured. By experimental studies, textile porosity and porosity dependent permeability correlations were analyzed. Depending on the porosity and permeability was tried to establish a connection between the flow rate changes. In the second stage, the CFD analyzes were performed using data obtained in experimental studies. Flow model of the experimental apparatus have been established. This model is compared with the data obtained from experimental data and CFD for appropriate turbulence model. After the turbulence model and the mesh structure is created, the effects of flow rate of the drum diameter hole was investigated. In the third stage, the two-dimensional surface model is created in the drum. With this model, time dependent analysis was conducted as a two-phase flow. The purpose here is to see the effect wing structures in the drum of fluid during spinning. In addition, selecting the appropriate turbulence models, the analysis of textile products to be made in future studies aimed to build infrastructure. Key words: Experimental study, washing machine, drum, squeezing efficiency, porous, permeability, computational fluid dynamics, turbulence models