Analysis of Cleaning Process for Several Kinds of Soil by Probability Density Functional Method

A method of analyzing the detergency of various soils by assuming normal distributions for the soil adhesion and soil removal forces was developed by considering the relationship between the soil type and the distribution profile of the soil removal force. The effect of the agitation speed on the soil removal was also analyzed by this method. Washing test samples were prepared by soiling fabrics with individual soils such as particulate soils, oily dyes, and water-soluble dyes. Washing tests were conducted using a TergO-Tometer and four repetitive washing cycles of 5 min each. The transition of the removal efficiencies was recorded in order to calculate the mean value (mu(rl)) and the standard deviation (sigma(rl)) of the removal strength distribution. The level of detergency and the temporal alteration in the detergency can be represented by mu(rl) and 6th respectively. A smaller sigma(rl) indicates a smaller increase in the detergency with time, which also indicates the existence of a certain amount of soil with a strong adhesion force. As a general trend, the values of sigma(rl) were the greatest for the oily soils, followed by those of the water-soluble soils and particulate soils in succession. The relationship between the soil removal processes and the soil adhesion force was expressed on the basis of the transition of the distribution of residual soil. Evaluation of the effects of the agitation speed on mu(rl) and sigma(rl) showed that sigma(rl) was not affected by the agitation speed; the value of mu(rl) for solid soil and oily soil increased with increasing agitation, and the mu(rl) of water-soluble soil was not specifically affected by the agitation speed. It can be assumed that the parameter sigma(rl) is related to the characteristics of the soil and the adhesion condition, and can be applied to estimating the soil removal mechanism.