Application of Statistical Analysis to Mixed Soil Detergency

Abstract

In previous studies, statistical method using distribution of detergent power and that of resistance of soil against washing was applied to analyze detergency of oily soil and solid particle soil. In this paper, this method was applied to an analysis of detergency of mixed soil. Artificially soiled cloth prepared by aqueous dispersion method was used as a mixed soil sample. Four-time consecutive washing tests were conducted under the same washing condition in Terg-O-Tometer using two kinds of detergent solution and distilled water. Change of removal efficiencies due to repetitive washing was used to determine the two distributions. Result shows that detergent power can be expressed as cumulative distribution function. In washing simulation using the cumulative distribution functions, the predicted removal efficiencies corresponded with experimental values. Moreover, the effect of soil aging on distribution of soil resistance against washing was found to move the distribution curve toward high resistance. These results show that the method using two statistical distributions can be applied to the detergency of mixed soil.

The effect of fabric movement on washing performance in a front-loading washer III: Focus on the optimized movement algorithm

“…It eventually causes difficulties in explaining the overall washing mechanism, such as new washing methods, [6][7][8][9] washing evaluation methods, [10][11][12][13][14] and simulations on washing. [15][16][17][18][19][20] Therefore, there is a need for research on the effects of mechanical action, such as fabric movement on washing efficiency, for better understanding the overall washing mechanism.…”

Kinetic analysis of hemoglobin detergency by probability density functional method

“…In the probability density functional method [35][36][37][38][39], the adhesion force of soil and the removal force of soil are assumed to be in accordance with a normal distribution, and the cleaning efficiency is determined based on both distributions. Further assumptions are that the adhesion force of soil is in accordance with a normal distribution with an average value of 0 and a standard deviation of 1 (Eq 3), and the cleaning power is in accordance with a normal distribution with an average value of μ rl and a standard deviation of σ rl (Eq 4).…”

“…An attempt was made to apply the probability density function to the detergency evaluation. The washing results of an oily dye stain [35], iron oxide particle dirt [36], and commercially available washing test cloth soiled with a mixed stain [37] were analyzed with respect to two parameters of the probability density functional method, the mean μ rl and standard deviation σ rl of the removal load distribution, assuming that the cleaning power follows a normal distribution. It was recently demonstrated that one of the two parameters (σ rl ) is related to the soil type [38] and the soil removal mechanism [39].…”

Impact of Fabric Construction on Adsorption and Spreading of Liquid Contaminations

“…From a detergency standpoint, contaminations can be categorized as water-soluble substances (e.g., inorganic salts, sugar, urine, and sweat); pigments (e.g., metal oxides, carbonates, silicates, hummus, and soot); oils and fats (e.g., fats of animal origin, fats and oils of vegetable origin, sebum, mineral oils, fats and waxes); proteins (e.g., blood, milk, eggs, and keratin from the skin); carbohydrates (starch); bleachable dyes (e.g., from fruits and vegetables, wine, coffee, and tea). In practice, contaminations mainly occur as combinations of the various types mentioned above [ 4 , 5 , 6 ].…”