“…No evident difference was found in the ratings between patterns B and C. However, the cotton fabric wrinkling behavior in program 17 (pattern A) showed a severe problem with a much lower value of 1.1 grade. This can be explained by previous research findings, 67 as wrinkles form under two conditions during tumble drying: (a) cotton fabrics maintain a fixed folding state for a long time with enough forces acting on them; (b) wrinkles form in the latter part of the drying process when cotton fabrics are almost dry. Figure 11.Smoothness appearance for different moving patterns.…”
Section: Resultssupporting
confidence: 53%
“…21,65,66 Smoothness ratings based on the standard requirement are widely used in fabric laundering and drying processes. 67 In this study, the smoothness appearance is used as an indicator to reflect the mechanical action experienced by the testing samples under different drying conditions. In order to compare the fabric appearance under different conditions, three trained observers rated the smoothness of test samples independently in accordance with “AATCC 124 Standard test method for smoothness appearance of fabrics after repeated home laundering.” 68 Smoothness ratings were conducted after the moisture content of the test samples reached the equilibrium with the ambient conditions.…”
A high-speed video camera was used to track a tracer textile as it is tumbled among other textiles in a domestic tumble dryer under different operating conditions, with the aim of investigating the mechanisms by which the mechanical action is imposed on textiles and affects drying performance during drying. These mechanisms were first recognized by comparing the clothes drying process to other well-researched chemical engineering processes. From the observation of the recorded motion processes, cotton textile transverse motion can be divided into three categories and a motion index system was derived to characterize the type of motion undergone. The impact of textile transverse motion on drying performance was numerically discussed based on the results of an analysis of variance and regression analysis. Results indicated that textile dynamics with more complexity and flexibility tended to have more mixing, shortened distance of moisture migration inside the fabric layer and fewer wrinkles formed, resulting in higher potential to have a better drying performance.
“…No evident difference was found in the ratings between patterns B and C. However, the cotton fabric wrinkling behavior in program 17 (pattern A) showed a severe problem with a much lower value of 1.1 grade. This can be explained by previous research findings, 67 as wrinkles form under two conditions during tumble drying: (a) cotton fabrics maintain a fixed folding state for a long time with enough forces acting on them; (b) wrinkles form in the latter part of the drying process when cotton fabrics are almost dry. Figure 11.Smoothness appearance for different moving patterns.…”
Section: Resultssupporting
confidence: 53%
“…21,65,66 Smoothness ratings based on the standard requirement are widely used in fabric laundering and drying processes. 67 In this study, the smoothness appearance is used as an indicator to reflect the mechanical action experienced by the testing samples under different drying conditions. In order to compare the fabric appearance under different conditions, three trained observers rated the smoothness of test samples independently in accordance with “AATCC 124 Standard test method for smoothness appearance of fabrics after repeated home laundering.” 68 Smoothness ratings were conducted after the moisture content of the test samples reached the equilibrium with the ambient conditions.…”
A high-speed video camera was used to track a tracer textile as it is tumbled among other textiles in a domestic tumble dryer under different operating conditions, with the aim of investigating the mechanisms by which the mechanical action is imposed on textiles and affects drying performance during drying. These mechanisms were first recognized by comparing the clothes drying process to other well-researched chemical engineering processes. From the observation of the recorded motion processes, cotton textile transverse motion can be divided into three categories and a motion index system was derived to characterize the type of motion undergone. The impact of textile transverse motion on drying performance was numerically discussed based on the results of an analysis of variance and regression analysis. Results indicated that textile dynamics with more complexity and flexibility tended to have more mixing, shortened distance of moisture migration inside the fabric layer and fewer wrinkles formed, resulting in higher potential to have a better drying performance.
“…It was determined that improved moisture transfer rates from the fabric to the drying air can be associated with homogenous fabric distribution and reduced local fabric accumulation and formation of areas with no fabric in the drum. Wrinkling behavior of woven cotton fabrics was investigated by Yu et al [27] Results showed that fabric characteristics such as thickness, density and weight have a negligible impact on the fabric smoothness appearance.…”
This work investigates the evenness of fabric drying in a household heat pump tumble dryer. The evenness of drying was defined as the standard deviation of the fraction of water, evaporated from each fabric item. Drying experiments were performed according to the IEC 61121 standard, which was also followed to determine quantities and types of cotton fabric items (towels, pillowcases and sheets) within each load. Regression analysis was performed to develop models for evenness of drying as a function of load mass and drum speed. Similarities between the tumble dryer energy efficiency parameters and the evenness of drying were analyzed. A high level of agreement was determined between responses of energy efficiency, drying time and evenness of drying to changes in drum speed. Effects of load mass were however more complex and were reflected in a non-linear response of evenness of drying to changes in load massthe best evenness of drying could be obtained at 2 kg load, followed by 6 kg and 4 kg load. Load composition was determined as an important factor affecting the evenness of drying. At larger loads, a sheet or a pillowcase in average contributed more to the un-evenness of drying than a towel. The presence of sheets and probably the ratio of sheets to other item types in the load were determined as the most probable factors that negatively affected the evenness of drying.
“…Verificou-se que as rugas são formadas nas últimas etapas do processo de secagem presente na secadora. Tendo a potência do aquecedor e a umidade relativa do tecido contribuído significativamente para diminuir a suavidade do tecido (YU et al, 2018).…”
Diagnóstico do comportamento do consumidor quanto à atividade de lavanderia na região metropolitana do Vale Do Itajaí Diagnosis of consumer behavior regarding the laundry activity in the metropolitan region of Itajaí Valley
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