Comparison of Comfort Properties of Jersey and Interlock Knits in Polyester, Cotton/Spandex, and Polyester/Rayon/Spandex. Abstract.

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Comparison of Comfort Properties of Jersey and Interlock Knits in Polyester, Cotton/Spandex, and Polyester/Rayon/Spandex Shuvo Kumar Kundu Central Michigan University Usha Chowdhary (Adviser) Central Michigan University Abstract This study evaluated the effects of two independent variables thickness and weight on the five dependable variables air permeability, bursting strength, horizontal wicking, thermal insulation, and evaporative resistance. Five hypotheses were developed to test the relationship between jersey and interlock knits in different fiber contents. Mean (M), standard deviation (SD), t-test (t) and probability (p) were calculated to compare intra group impact. Analysis of Variance (ANOVA), Pearson Correlation and Regression Analysis were performed to determine the relationship between independent and dependent variables. Differences were found between two knit constructions with varying thickness and weight for air permeability, evaporative resistance, bursting strength, and horizontal wicking. Both positive and negative correlations were found between dependent and independent variables. Findings offer implications for future research. Introduction The expectation from our clothes has changed over time. 1 Researchers asserted the importance of thermal comfort, called clothes as a second skin and identified comfort as the key factor in clothes. 2-4 Therefore, testing comfort properties of fabrics are deemed important before making garments out of it. Jersey and interlock knits have been using extensively in both every day and professional apparel due to their inherent comfort properties. 5 Some of the reasons for their popularity include easy production technique, less expense, a wide range of products, and high level of clothing comfort. 6 Therefore, the knitted fabric is widely used for sportswear, casual wear and underwear. 6-9 The concept of comfort was introduced by researchers many decades ago from different aspects. 10-13 Comfort is the absence of displeasure or discomfort or a balance between the environment and a human being. 11-16 Researchers stated physiological comfort as an association of thermal and non-thermal elements and its relation to the stability of temperature and in each environment. 10 It is hard to maintain comfort for us as our body is responsive to several weather parameters such as temperature, moisture, and humidity. 11-13, 16 In addition, our clothes can contribute toward body comfort/discomfort. 17 The ability of fabrics to bring equilibrium of skin temperature with weather and transfer of perspiration produced from the body is considered as thermal comfort. 18 Although researchers find it very complex to define, clothing comfort is a key 17, 19-21 attribute for customers satisfaction that can be impacted by their textile choice.

The amount of air passing through the fabric in a certain time is defined as Air permeability. 22 The evaporative resistance is the rate at which water vapor passed through a complex system and system includes not the fabric as well as air layers which contribute a much larger portion of the total resistance. 23 Both air permeability and water vapor permeability are important factors for clothing comfort. 22, 24 Heat transfer is the process of the energy change of a system. 25 The water vapor permeability of the clothing systems helps the moisture transfer from the human skin into the environment. 26 the bursting strength of the knitted fabric is a measure of the resistance to rupture when subjected to stretching. 27 Many researchers explored the relationships of breaking strength and other fabric properties such as stitch length, fabric count, elongation, extension, and ultraviolet protection. 20, 28-33 Wicking is the spontaneous flow of a liquid in a porous substance, driven by capillary forces. 34 Scholars found sweat transportation and drying rate of fabrics are two crucial factors affecting the physiological comfort of our outfit. 35-37 As evidenced by the preceding information, literature provides sufficient evidence of research on thermal comfort. Previous work focused on handful blends and recommended testing on other types of blends. Limited published work explored and compared comfort properties of jersey and interlock knits in polyester, cotton/spandex blend, and polyester/rayon/spandex blend based on fabric weight and fabric thickness for thermal resistance, evaporative resistance, bursting strength and air permeability. Therefore, the purpose of this study was to investigate the correlations among polyester, cotton/spandex, and polyester/rayon/spandex blend fabrics for their comfort properties such as thermal resistance, evaporative resistance, bursting strength and air permeability. Five hypotheses were developed for this study. Literature Review Clothing comfort is one of the most important factors for customers decision to purchase clothing for all types of textile apparel. The reported study compared comfort properties of jersey and interlock knits of 100% polyester Cotton/Spandex, and Polyester/Rayon/Spandex blend of different fabric weights and thicknesses. To capture the crux of previous work on the topic, the literature review was conducted. The following information is organized into weight and thickness, air permeability, bursting strength, thermal and evaporative resistance, and horizontal wicking. Fabric thickness and weight are important and represent the structural attribute of knit fabrics. These two attributes determine many properties of clothing textile. 38 Researchers reported that the thickness of cotton fabric influences comfort and warmth. 39 Study found that with the increase in thickness, porosity and air permeability decrease. 40, 41 Fabric s physical properties like fabric thickness, fiber type, and fabric weight also affect thermal properties of the textile. 42, 41 Air permeability is one of the most important determining attributes in evaluating knitted fabrics and apparel. Air permeability helps with transporting dampness from the skin to the outside environment. In the recent years, numerous studies have been conducted to anticipate the porosity and air permeability based on their structural parameters. 43 Study found the air permeability of knitted structures is inversely proportional to stretch and relaxation. 44 Researcher asserted that the pique structure exhibits the highest air permeability followed by the single

jersey and the interlock structures. 45 In contrast, fabrics with higher air permeability, vertical wicking height and moisture regain will provide better moisture management properties than lower values. 46 The thermal resistance (RCT) is a measure of the resistance to heat transfer from the sweating guarded hotplate to the ambient environment. Whereas, the evaporative resistance (RET) is a measure of the resistance to water vapor transfer from the sweating guarded hotplate through a fabric to the ambient environment. The capability of textile to transport heat and moisture vapor from our skin to the environment is an important factor of clothing comfort, especially in a situation where heavy sweating is involved. 47 Researcher stated that vapor transport and thermal transfer properties are important predictors of thermal comfort. 48 Study defined the movement of liquids in fabrics by capillary pressure as wicking. 49 The researcher also compared the two different wicking behavior of fabrics, namely, the vertical and horizontal wicking of water on a strip of textile material. To provide comfort to the wearer, moisture transportation in a fabric is an important factor. Investigator found the wicking rate of textiles can form a pleasant microclimate next to the skin. 38 Bursting strength is a measure of resistance to rupture, in another word pressure at which fabric tears/bursts. Bursting strength depends on extensibility and tensile strength of the fabric. Scholar found that bursting strength decreases with the increase of stitch length. 28 Researchers examined mechanical properties such as heat and moisture transfer, air permeability, bursting strength, and moisture wicking. 17 Study reported the inverse relationship between elongation and breaking strength. 50 Investigators found that bursting strength can be impacted by knit structures. 51 A study revealed that filament yarns have the lower extension and higher strength than staple fibers. 32 Overall, previous research demonstrated the impact of mechanical properties on comfort. However, they did not compare jersey and interlock knits with controlled structural attributes. Based on the reviewed literature, the following five hypotheses (H1-H5) were developed. H1: Jersey knit (96% cotton, 4% spandex) with two significantly different thicknesses and weights will differ for air permeability, bursting strength, horizontal wicking, thermal insulation, and evaporative resistance. H2: Jersey knit (70% polyester, 26% rayon, and 4% spandex) with two significantly different thicknesses and weights will differ for air permeability, bursting strength, horizontal wicking, thermal insulation, evaporative resistance. H3: Interlock knit (100% polyester) with two significantly different thicknesses and weights will differ for air permeability, bursting strength, horizontal wicking, thermal insulation, evaporative resistance. H4: Two interlock knits (polyester/rayon and spandex blend) with two significantly different thicknesses will differ for air permeability, bursting strength, horizontal wicking, thermal insulation, and evaporative resistance. H5: No relationship will exist between fabric weight and fabric thickness for air permeability, bursting strength, horizontal wicking, thermal insulation, and evaporative resistance.

Methodology The purpose of this study was to evaluate the effects of fabric thickness and fabric weight on the fabric comfort properties air permeability, bursting strength, horizontal wicking, thermal insulation, and evaporative resistance. Eight fabrics were purchased from the local fabric store and grouped into four groups based on thickness and weight and two groups based on the knit structure. The research design, sample description, experimental methods applied to achieve the research objectives are described in this chapter, followed by an overview of the data analysis. A quantitative design was used for this investigation. Knit structures (jersey and interlock), fabric thickness and weight served as the independent variable. The dependent variables were air permeability, bursting strength, horizontal wicking, thermal insulation, and evaporative resistance. Description of Specimens Jersey and interlock fabrics were selected for this research. Eight fabrics were divided into 4 groups. Group 1 had jersey knits with 96% cotton, 4% spandex. Group 2 had jersey knits with 70% polyester, 26% rayon, and 4% spandex. Group 3 had interlock knits with 100% polyester and group 4 had interlock knits with 100% polyester and polyester/rayon/spandex blend respectively. To separate two different specimens in the same group they were labeled with A and B (i.e. 1A, 1B etc.). Specimens in groups 1-3 were significantly different for weight and thickness but specimens in group 4 were differed significantly only for thickness. A separate hypothesis was developed to find a correlation between these two variables for all the dependent variables. Based on the mean value of thickness, specimens were called Thicker or Thinner and based on the mean of weight specimens were called Heavier or Lighter within the group. Sample Preparation All test specimens were conditioned using ASTM D 1776-2016 for 12 hours before being tested in a controlled chamber of 23 ± 0.5 o C and 50 ± 5% RH prior the thermal insulation test and of 35 ± 0.5 o C and 40 ± 5% RH prior Evaporative Resistance test respectively. The mean surface temperature of the hot plate was maintained at 35± 0.2 o C and 35± 0.5 o C during a 30 minutes test for thermal insulation and evaporative resistance test respectively. All specimens were preconditioned under 21± 1 o C and 65± 2% RH for determining air permeability, thickness, weight, bursting strength and horizontal wicking. 125 Pa (12.7 mm or 0.5 in. of water) water pressure differential was maintained for air permeability test. Test Standard The reported study followed the test standard set by the American Society for Testing and Materials (ASTM) and the American Association of Textile Chemists and Colorists (AATCC). All tests and specimens details are shown in Table I.

Table I. Details of Test Standard Sl. No. Test Method Specimen size 1 Thickness ASTM D1777-96 52 N/A 2 Weight D3776/D3776M-09a 53 5"X5" 3 Air permeability ASTM D737-04 54 N/A 4 Thermal insulation ASTM F1868-17 55 12"X12" 5 Evaporative resistance ASTM F1868-17 55 12"X12" 6 Bursting strength ASTM D6797-15 56 5"X5" 7 Horizontal wicking AATCC 198-2013 57 8"X8" Data Analysis Inferential statistics used for the study were t-test analysis, correlation coefficient, and regression analysis. Hypotheses 1-4 used t-test and hypothesis 5 was tested by regression analysis and correlation coefficient. The Statistical Package for the Social Science (SPSS) and Microsoft Excel were used to perform statistical calculations. Mean (M), standard deviation (SD), probability (p) and t-test (T) were recorded for an enhanced interpretability for the readers. The confidence level of 95% was used to accept or reject the hypotheses. Results and Discussion As described earlier, eight specimens divided in the groups were chosen for this study. The groups were based on fiber content, fabric weight, and fabric thickness. Eight groups had two different knit structures; jersey and interlock and their different fiber blend; cotton/spandex, polyester/rayon/spandex, and 100% polyester. Although the polyester/rayon/spandex blend ratio varies between groups. The purpose of this study was to compare the comfort properties of jersey and interlock knits of the stated blend for three different fabric weights and fabric thicknesses. Hypothesis 1 Results from t-test analysis revealed that two groups differed significantly for air permeability (t8 = 16.83, p<.000), horizontal wicking (t8 = 5.582, p<.005), and evaporative resistance (t8 = 3.26, p<.02). However, differences were not significant for bursting strength and thermal resistance. Hypothesis 1 was accepted. Thinner/lightweight fabrics had higher air permeability, lower horizontal wicking, and lower evaporative resistance than thicker heavyweight fabrics. Comparison with literature review indicated that findings from this study were consistent for air permeability. 22 Hypothesis 2 The t-test analysis reports that air permeability (t8 = 33.85, p<.000) and evaporative resistance (t8 = 14.86, p<.000) differed significantly for two groups. However, bursting strength horizontal wicking and thermal resistance were not significantly different. Hypotheses 2 was accepted. Thinner/lightweight fabrics had higher air permeability, and lower evaporative resistance than thicker/heavyweight fabrics. Comparison with literature revealed that findings from this study were inconsistent for thermal resistance since the thickness of fabric had no significant effect of warmth. 38

Hypothesis 3 Results from t-test revealed that air permeability (t8 = 17.217, p<.000), bursting strength (t8 = 5.11, p<.000), and evaporative resistance (t8 = 18.16, p<.000) were significantly different. However, differences were not significant for horizontal wicking and thermal resistance. Hypothesis 3 was accepted. Thinner/lightweight fabrics had higher air permeability, lower bursting strength, and lower evaporative resistance than thicker/heavyweight fabrics. Hypothesis 4 The statistical analysis revealed that two groups differed significantly for air permeability (t8 = 3.74, p<.005), and horizontal wicking (t8 = 25.97, p<.000). However, no significant differences found for bursting strength, thermal insulation, and evaporative resistance. Hypothesis 4 was accepted. Thinner/heavyweight fabrics had higher horizontal wicking and lower air permeability than thicker/lightweight fabrics. The results were inconsistent with previously published work. Previous researchers reported that fabrics with lower weight, higher thickness, and air permeability is more heat comfortable. 42 However, findings from the reported study revealed no significant difference for bursting strength, thermal resistance and evaporative resistance between thicker/lightweight fabric and Thinner/heavyweight fabric. Table II. Pearson Correlation Table by Thickness and Weight on Thermal Resistance, Evaporative Resistance, Air Permeability, Bursting Strength and Horizontal Wicking Air Permeability Thermal Resistance Evaporative Resistance Bursting Strength Horizontal Wicking Weight Pearson Correlation -.535** 0.028.522** 0.28.400* Sig. (2-tailed) 0 0.864 0.001 0.08 0.011 Thickness Pearson Correlation -.859** 0.26.762**.546** 0.168 Sig. (2-tailed) 0 0.105 0 0 0.301 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed). Hypothesis 5 The data displayed in Table II reveals that the weight is significantly correlated with air permeability, evaporative resistance and horizontal wicking. However, it is not associated with thermal insulation and bursting strength. Thickness was not correlated to horizontal wicking and thermal insulation. However, it was strongly related to air permeability, water permeability, and bursting strength. From the table, it can be observed that both weight and thickness are related air permeability and evaporative resistance. Thermal resistance is not correlated with either weight or thickness. Therefore, hypothesis 5 was rejected. The result of regression ANOVA showed that the weight and thickness reliably predict the air permeability (F (2, 37) = 66.691, p <.05; p =.000). Pearson correlation table (Table II) indicates that air permeability has a strong negative correlation with both weight (r = -0.535) and thickness (r = -0.859). The regression ANOVA reveals that the weight and thickness are unable to predict the thermal resistance (F (2, 37) = 3.132, p =.055). Pearson correlation table also indicates weak

positive correlation of weight (r = 0.028) and thickness (r = 0.26) with thermal resistance. The weight and thickness are strong predictors of evaporative resistance (F (2, 37) = 27.038, p < 0.05; p = 0.000) according to the results of regression ANOVA. The Pearson correlation table (Table II) exhibits that evaporative resistance is in strong positive relation with both weight (r = 0.522) and thickness (r = 0.762). It can be agreed that weight and thickness can reliably predict bursting strength as the regression ANOVA result shows the significant result (F (2, 37) = 9.974, p < 0.000; p = 0.000). Pearson correlation table (Table II) shows that bursting strength has a weak positive correlation with weight (r = 0.28) but a strong positive correlation with thickness (r = 0.546). The weight and thickness are unable to anticipate the horizontal wicking according to the result of regression ANOVA (F (2, 37) = 4.997, p<.05; p =.012). Additionally, Pearson correlation table (Table II) also pointed out that air permeability has the moderate positive correlation with weight (r = 0.400) and weak positive correlation with thickness (r = 0.168). The reported study found some consistent results with previous research. For an example, couple other studies also reported that air permeability decreases with increase in thickness. 58, 59 The reported study found a strong negative correlation between thickness and air permeability (Table-II). Four (H1-H4) of the five hypotheses were accepted. Summary and Conclusion This research mainly focused on the comfort properties of jersey and interlock knits in polyester, cotton/spandex, and polyester/rayon/spandex with different variables such as air permeability, bursting strength, thermal resistance, evaporative resistance and horizontal wicking for different weights and thicknesses. Results showed both consistencies and inconsistencies with the previous research in the field. Key findings of the study follow. Thinner and lightweight jersey knit (96% cotton, 4% spandex) with two different thickness and weight showed higher air permeability but lower horizontal wicking and evaporative resistance than thicker and heavyweight fabric. Again, thinner and lightweight jersey knit (70% polyester, 26% rayon, and 4% spandex) showed higher air permeability and lower evaporative resistance than thicker and heavier fabric. Whereas, specimens were not significantly different for bursting strength, thermal resistance and horizontal wicking. Differences were found for interlock knits (100% polyester) of two different weights and thickness for air permeability, evaporative resistance and bursting strength but the results for thermal resistance and horizontal wicking were not significant. Thicker and heavier interlock exhibited higher bursting strength and evaporative resistance but lower air permeability than thinner and lighter fabrics. On the other hand, two interlock knits of polyester/rayon/spandex blend with different thickness showed different results for air permeability and horizontal wicking but not for bursting strength, thermal insulation, and evaporative resistance. In this case, thinner and heavyweight fabric showed lower air permeability and higher horizontal wicking than thicker and lightweight fabric. The reported study also revealed that air permeability had a negative correlation with both weight and thickness, whereas evaporative resistance had a positive correlation with both predictors. Bursting strength had a positive correlation only with thickness but not with weight

and vice-versa for horizontal wicking. The reported study revealed that thermal resistance has no correlation with either of the predictors. Weight and thickness reliably predict air permeability and the reported study revealed thinner and lighter fabrics possessed higher air permeability than thicker and heavier fabrics. Weight and thickness could not predict thermal resistance and horizontal wicking but were strong predictors for evaporative resistance and bursting strength. Thicker and heavier fabric showed higher bursting strength and evaporative resistance. Limitation The physical attributes of the specimens were hard to control since all specimens were sourced from the local market. Treatment on fabric specimens did not evaluate, which can influence the result of the study. Cutting swatches, specimen preparation, and data record (for weight, thickness, and horizontal wicking) were done manually, therefore human error can present. The literature review revealed that physical and mechanical terms were used interchangeably. Therefore, it was hard to keep them clearly defined. Similar confusion was created with the use of water vapor resistance and evaporative resistance, thermal resistance and thermal insulation. Future Implication The strengths of this research include extending previous work and contributing to the field by comparing comfort properties with weight and thickness. The outcome from the reported study suggests some future implications. Different Fabric constructions knitted (pique, rib) and woven (plain, twill, satin), and garments for various end uses, and different fiber contents similar or additional structural and performance attributes could be studied for comprehensive understanding. Study with controlled specimens can produce more accurate results. Specimens with more variety in weight and thickness can expand the understanding further. Same variables can also be tested with different testing (heat camera) method of heat comfort. The results from the reported study can be used to develop prediction models and enhance the efficiency of the product development process. Due to the confusing use of the terms it will be helpful if researchers define their technical terms clearly. The proposed study was restricted to laboratory testing. Wear or service testing can provide better consumer perspective than possible by lab testing alone. Additionally, seeking consumer input through the survey or focus groups to identify their specific needs prior to lab testing will enrich the reservoir of knowledge base further. The study reinforced that AATCC and ASTM test methods could be continually used in textile testing for effective quality control. 20

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