• Textile Coloration and Finishing
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• v.33 no.4
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• pp.250-257
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• 2021

Laundry industry has traditionally been considered an industry that generates large amounts of wastewater and Volatile Organic Compounds(VOCs). This is still the case until now. Household laundry detergents are produced and distributed within the safety regulations on the amount of harmful substances detected. While industrial laundry detergents are often distributed without safety regulations, and even laundry workers manufacture and use them on their own. This contaminates water and air and also threatens the safety of workers. This study is a basic study for distributing eco-friendly detergents(EFD-A) developed through previous studies to the laundry industry. Safety, washability and wastewater quality of EFD-A are evaluated. Three existing commercial detergents(PD1, PD2, LD4) are also evaluated to compare with EFD-A. The safety of detergents is confirmed by the content of optical brightener, VOCs, and arsenic. Washability is evaluated by the difference in reflectance of washed and unwashed artificial soiled fabrics according to detergent concentration, washing temperature, and washing time. TOC is used as the index of assessing the wastewater quality. The results are as follows; EFD-A doesn't contain the optical brighteners, VOCs, and arsenic. The optimal washing conditions for EFD-A are 3 g/L concentration, 40 ℃ washing temperature, and 30 min washing time. The soil removal efficiency is about 71 %, which was similar to or somewhat superior to that of PD1, PD2, and LD4. TOC is 63.5 %, which is about 15 % lower than the discharge limit. Through this study, the developed detergent EFD-A can be used as a safe and eco-friendly detergent for the human body and the environment.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_3
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• pp.1285-1291
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• 2022

In this paper, we propose a low-cost, low-power embedded environment-based deep learning lightweight model for input images to recognize laundry management codes. Laundry franchise companies mainly use barcode recognition-based systems to record laundry consignee information and laundry information for laundry collection management. Conventional laundry collection management systems using barcodes require barcode printing costs, and due to barcode damage and contamination, it is necessary to improve the cost of reprinting the barcode book in its entirety of 1 billion won annually. It is also difficult to do. Recognition performance is improved by applying the VGG model with 7 layers, which is a reduced-transformation of the VGGNet model for number recognition. As a result of the numerical recognition experiment of service parts drawings, the proposed method obtained a significantly improved result over the conventional method with an F1-Score of 0.95.

• Fashion & Textile Research Journal
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• v.3 no.5
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• pp.455-465
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• 2001

Assessing soil removal is of interest to the washing machine industry because of government-mandated energy savings and changes in detergent formulation and consumer laundry practices. We designed this study to examine the laundry process from a holistic perspective by integrating factors perceived to be of importance. Our purpose was to assess the impact of selected variables (fabric and soil type, wash temperature and time. detergent amount, and degree of agitation) on soil removal using accelerated laundry conditions. We used the Taguchi method to develop the research design and ANOVA to analyze the data. Although soil removal was affected by fabric type, soil type, type and amount of detergent, degree of agitation, wash time and temperature, and water hardness and volume, wash temperature was the most significant variable.

• Journal of Fashion Business
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• v.26 no.2
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• pp.67-82
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• 2022

This study was aimed to investigate the differences in satisfaction and repurchase intention of leggings focused on women who have ever worn leggings. The participants were women in their 10s-50s who were residing in Busan and Gyeongnam, Korea. The survey was taken between July 3rd and 28th, 2021. A total of 313 questionnaires were completed and used in the statistical analysis. The data were analyzed with 𝛘²-test, t-test, ANOVA, etc. using the SPSS. The leggings wearing by demographic characteristics were significantly different for age, monthly income, and occupation. The factors related to leggings postpurchase satisfaction were identified as reshaping body type and utilization, wearing sensation and functionality, design and price, colorfastness to laundry, and quality. As a result of analyzing the difference for leggings postpurchase satisfaction by demographic characteristics, colorfastness to laundry, and quality were significantly different by marital status, reshaping body type and utilization, design and price, and colorfastness to laundry, and quality were significantly different by age. All postpurchase satisfaction factors were significantly different by monthly income. Design and price, colorfastness to laundry, and quality were significantly different by occupation. The variables influencing the level of leggings satisfaction were wearing sensation and functionality, followed by design and price, reshaping body type and utilization, and colorfastness to laundry and quality. The repurchase intention of leggings was significantly different by age and monthly income. The variables influencing repurchase intention of leggings were design and price, followed by reshaping body type and utilization.

• Fashion & Textile Research Journal
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• v.12 no.3
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• pp.389-397
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• 2010

This study was carried out to investigate the effect of washing machine type (drum or pulsator) on the behavior of clothing management and consumer satisfaction. The data were collected via questionnaires from 408 consumers and were analyzed through factor analysis, ANOVA, Cronbach's Alpha, utilizing SPSS 10.0. The results of this study were as follows: 1) 39.2% of consumers used drum washer and the number of users has increased sharply in five years. Drum washer consumers hold larger capacity washer than pulsator washer consumers. 2) Young people(under 40) showed statistically significant differences in terms of washing concern and the kinds of detergents, while old people(40 and above) showed statistically significant differences in terms of checking the label, preparing the laundry, and hand-washing. Married women showed statistically significant differences in checking the label, preparing the laundry, and hand-washing. 3) In terms of clothing management behavior with the type of washing machine, drum washer consumers showed statistically significant the amount of detergents, while pulsator washer consumers showed statistically significant handwashing and kinds of detergents. 4) In terms of customer satisfaction with the type of washing machine, drum washer consumers showed statistically significant brand satisfaction.

• Fashion & Textile Research Journal
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• v.7 no.3
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• pp.346-350
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• 2005

In this study, to investigate the influence on the seam puckering by the mechanical properties of textiles, it was measured from 4 polyester/cotton samples. We reached the following conclusion in influences of the seam puckering by the thread, iron and laundry. Seam puckering is occurred several times by repeating the laundry. according to iron method, the seam puckering is stronger in order of T/C1> T/C2> T/C3> T/C4 by the samples and order of 40's/2> 60's/3> 50's/2> 60's/2 by the threads, the relation between sample's mechanical properties and seam strength and obtainment of formula. We can find that seam puckering is related with B, 2HB, G, 2HG5, RC, T among the mechanical properties and the estimated formulas which get from mechanical factors.

• Journal of the Korean institute of surface engineering
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• v.34 no.1
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• pp.62-67
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• 2001

Green technology is being developed up to a point that is feasible not only in an environmental sense, but also in an economical viewpoint. This paper introduces two case studies that applied $CO_2$ technology into nuclear industry. 1) Nuclear laundry : A laundry machine that uses liquid and supercritical $CO_2$ as a solvent for decontamination of contaminated working dresses in nuclear power plants was developed. The machine consists of a 16 liter reactor, a recovery system with compressors, and storage tanks. All $CO_2$ used in cleaning is fully recovered and reused in next cleaning, resulting in no production of secondary nuclear waste. Decontamination factor is still lower than that in the methods currently used in the plant. Nuclear laundry using $CO_2$ looks promising with technical improvements-surfactants and mechanical agitation. 2) $CO_2$ nozzle decontamination : An adjustable nozzle for controlling the size of dry ice snow was developed. Using the developed nozzle, a surface decontamination device was made. Human oils like fingerprints on glass were easy to remove. Decontamination ability was tested using a contaminated pump-housing surface. About 40 to 80% of radioactivity was removed. This device is effective in surface-decontamination of any electrical devices like detector, controllers which cannot be cleaned in aqueous solution.

• Journal of Microbiology and Biotechnology
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• v.33 no.2
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• pp.195-202
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• 2023

Protease is a widely used enzyme particularly in the detergent industry. In this research, we aimed to isolate alkaline protease-producing bacteria for characterization as a laundry detergent additive. The screening of alkaline protease production was investigated on basal medium agar plus 1% skim milk at pH 11, with incubation at 30℃. The highest alkaline protease-producing bacterium was 6BS15-4 strain, identified as Bacillus gibsonii by 16S rRNA gene sequencing. While the optimum pH was 12.0, the strain was stable at pH range 7.0-12.0 when incubated at 45℃ for 60 min. The alkaline protease produced by B. gibsonii 6BS15-4 using dairy effluent was characterized. The optimum temperature was 60℃ and the enzyme was stable at 55℃ when incubated at pH 11.0 for 60 min. Metal ions K⁺, Mg²⁺, Cu²⁺, Na⁺, and Zn²⁺ exhibited a slightly stimulatory effect on enzyme activity. The enzyme retained over 80% of its activity in the presence of Ca²⁺, Ba²⁺, and Mn²⁺. Thiol reagent and ethylenediaminetetraacetic acid did not inhibit the enzyme activity, whereas phenylmethylsulfonyl fluoride significantly inhibited the protease activity. The alkaline protease from B. gibsonii 6BS15-4 demonstrated efficiency in blood stain removal and could therefore be used as a detergent additive, with potential for various other industrial applications.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.386-397
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• 2023

In this study, the efficacy of ultrasonic washing in cotton and wool fabrics was compared and evaluated against conventional washing in terms of cleaning properties and fabric deformation. Factors such as washing temperature, time, liquid ratio, and detergent concentration were kept varied, and the cleaning properties of sebum-soiled fabrics were assessed using different detergents such as alcohol ethoxylate, linear alkylbenzenesulfonate, and IEC 60456 Reference Detergent A^*. In addition, the effects and emulsification power of enzymes and oxygen bleach were examined. To compare the cleaning properties with general washing, a launder-O-meter was used. To investigate fabric deformation during the washing process, the loosening test cloth, shrinkage test cloth, and mechanical strength test cloth were compared between ultrasonic washing machines and household drum washing machines. The results indicate that ultrasonic washing exhibits superior cleaning properties than launder-O-meter when the temperature is low and the washing time is short. Furthermore, there is less deformation and damage during the washing process. It was also observed that the activity of the detergent increases when ultrasonic waves are applied to the washing process. Considering the increasing tendency to pursue convenience and simplicity in clothing management as well as the anticipated commercialization of smart clothing with built-in electric circuits, ultrasonic laundry could serve as a new alternative to existing laundry methods.

• Journal of Korean Society for Atmospheric Environment
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• v.19 no.4
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• pp.363-376
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• 2003

In this study, the fugitive emission characteristics of airborne volatile organic compounds from different source categories were evaluated with respect to the concentrations measured in the vicinity of the sources. A total of 22 different sources were investigated, including gasoline storage and filling stations, painting spray booth, laundry, printing officer, textile industries, and a number of environmental sanitary facilities such as landfill, wastewater treatment and incineration plants. The target VOCs included 83 individual compounds, which were determined by adsorption sampling and thermal desorption coupled with GC/MS analysis. Overall, the aliphatic compounds appeared to be the most abundant class of compounds in terms of their concentrations, followed by aromatic, and halogenated hydrocarbons. As a single compound, however, toluene was the most abundant one, explaining 11% of the total VOC concentrations as an average of all the dataset. Among source categories, petroleum associated sources such as gasoline storage/filling stations, and laundry factory were identified as the most significant sources of aliphatic hydrocarbons, while aromatic VOCs were dominantly emitted from the sources handling organic solvents, such as painting booth, printing offices, and textile dyeing processes. However. there was no apparent pattern in terms of the contributions of eath group to the total VOCs concentrations in environmental sanitary facilities. It was also found that the activated carbon adsorption tower installed for the VOC emission control in some facilities do not show any effective performances, which may result in the increased VOC levels in the ambient atmosphere.