Iris Publishers_Journal of Textile Science & Fashion Technology (JTSFT)

Optimization Study of Machine-Washed Decontamination Effect of Starch Soil Cloth of Pure Cotton

Abstract

According to the principle of orthogonal experimental, a four-factor and three-level washing experiment has been designed, and the washing of the self-made cotton dirty cloth of starch was carried out for several times. The properties of the washed fabric were analyzed by using the range analysis method. The study found that when the washing time is 20 minutes, the washing temperature is 35 degrees, the washing intensity is medium, and the detergent dosage is 20g, it can make the starch dirty cloth achieve the equilibrium optimal effect of the washing rate, dimensional change rate, strength and fading degree.

Keywords: Machine washing; Decontamination; Orthogonal experiment; Starch soil cloth; Range analysis method


Introduction

The damage for clothing during wearing and washing is extremely great. At present, research at home and abroad mainly focuses on the influence of washing conditions on a certain index[1,2], the physical properties of clothes after washing and their relationships [3]. There are also related studies that explored the optimized process parameters of denim clothes [4]. However, this study is devoted to considering the comprehensive influence of multiple washing conditions on multiple physical properties, so as to arrive at an optimized washing program that can not only achieve the purpose of washing clothes, but also reduce the deformation, discoloration and damage to the material of the garment. Thereby, the good appearance and performance of the garment can be maintained [5]. Relevant data shows that the temperature of water, the amount of detergent, the kind of detergent, and the influence of mechanical forces are important factors affecting the decontamination effect [6,7]. Therefore, these washing conditions can be used as reference data for this experiment to wash stain cloth under different washing conditions. Cotton fabrics have always been loved by people because they are comfortable to wear, soft to the touch, breathable, and moisture permeable, so they have been the subject of this experiment.

Materials and Methods

Under a specific washing condition, the cleaning effect of different stains is different. We made cotton dirty cloth of starch in our own and performs orthogonal washing experiments on the stained cloth. The relevant physical properties of the washed stained cloth have been calculated and measured, and uses the range analysis method to analyze the data to obtain the optimal washing program of the starch cotton stained cloth, while washing the stain cloth, it can also ensure that the strength loss is less, and the condition of fading and deformation are better.

Materials

Experimental equipment: WSB-Ⅱ intelligent digital whiteness meter, YG065H electronic fabric strength machine, precision booster electric mixer, YG (B) 741X shrinkage oven, electronic scale, Midea M880-8100WDQCG fully automatic washing machine.

Experimental materials:Raw materials: cotton twill (width 2.35m, weight 320g / m), Blue Moon laundry detergent (neutral detergent) Homemade ingredients: purple rice flour.

Methods

Experiment preparation: According to the determination of GB / T 13174-2008 detergents for the detergency of laundry detergents and the cyclic washing performance, a homemade starch stain cloth was made, and the size of the stain cloth was 15cm × 15cm.

1. Preparation of dirty cloth of starch

• Materials and equipment: Purple rice flour, cotton cloth, precision booster electric stirrer, microwave oven, beaker, measuring cup, dropper.

• Materials and equipment: Purple rice flour, cotton cloth, precision booster electric stirrer, microwave oven, beaker, measuring cup, dropper.

Experimental scheme design

According to the principle of orthogonal experiment, a total of 9 washings were performed in this experiment (Table 1).

Table 1:Four-factor and three-level orthogonal experiment [7].


Testing standards: After washing the cotton stained cloth, we measure and calculate its washing rate, dimensional change rate, tear strength, distinguish its gray level, and measure the same value of the original cloth at the same time to calculate the relevant index parameters. According to related research [8], polyester fabrics are the easiest to rinse, wool nylon fabrics are more difficult to rinse, and cotton fabrics are in between, so we set the rinse times of cotton fabrics twice in the experiment.

1) Washing rate= (RW-RS)/(RO-RS) *100% [9].

RW means the reflectance value after washing of stained cloth, RO means the reflectance value before washing of stained cloth, and RS means the reflectance value of raw fabric. The reflectance value can be measured using WSB-Ⅱ intelligent digital whiteness meter.

2) Dimensional changes rate =(MS-MO)/MO*100%

MS means the size of stained cloth after washing, MO means the size of stained cloth before washing

3) Tear strength

By using the YG065H electronic fabric strength machine, the tear strength of each cloth after washing can be obtained, and the tear strength of the original cloth is 477N.

4) Gray level

The gray value of the fabric before and after washing was evaluated by using the gray sample card for evaluation of discoloration drafted by Shanghai Textile Industry Technical Supervision. This time, a five-level and nine-level gray card is used. The first level represents the largest color difference, and the fifth level represents almost no color difference between the two pieces of fabric.

Principles of range analysis:Orthogonal experiment is a design method to study multi-factors and multi-levels. The experiments are arranged according to the orthogonal table, and the limited number of times of washing experiments is used to reflect the overall washing situation [10]. If the four factors and three levels are combined one by one, it will lead to nearly 100 experiments, which is difficult to implement. Therefore, the orthogonal experiment method is used to select several representative combinations of experimental conditions to reflect the overall washing situation.

1) Analyze the influence of various factors on experimental indicators one by one. Among them, K1 means the sum of the values of a certain experimental index corresponding to a certain level of “1”, and M2 means the average value of K2 values corresponding to a certain level of “2”. Table 2 for specific values.

2) Sort the major and minor factors. Range R = max (M) -min (M), sort the range R in order of magnitude. The larger the R value, it means that this factor has a great influence on the test index, and the factor is very important. Conversely, the smaller the R value, the smaller the influence of this factor on the indicator, and the less important the factor is.

3) The magnitude of the M value can determine the excellent level of a certain column of factors. The largest M value is the optimal level. Based on the R value, the optimal combination can be obtained.

4) In this experiment, the washing rate, dimensional changes rate after laundering tear strength and gray level are taken as indicators. The larger the value of the washing rate, the cleaner the washing, and the smaller the value of the dimensional change rate, the better the shrinkage and higher value of tear strength means smaller strength loss of the fabric after washing, and larger gray level means smaller color difference.


Iris Publishers

For More Information: https://irispublishers.com/jtsft/fulltext/optimization-study-of-machine-washed-decontamination-effect-of-starch-soil-cloth-of-pure-cotton.ID.000588.php






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