Abstract:Auxiliary materials are as important as the fabric, which is the main material of a garment. One of the most important auxiliary materials is the button. There are different types of buttons, made of different materials, with different numbers of holes in different sizes. The breaking strength of the button determines the performance characteristics of the buttons during use.
In this study, commonly used types of buttons were investigated and the breaking strength values of different buttons were measur… Show more
“…Double-faced fabric with a weft density of 70 strands per inch exhibits a faster wetting time compared to double-faced fabric with weft densities of 80 strands per inch and 90 strands per inch. This phenomenon can be attributed to the fact that the fluid flow on the fabric's surface is directly influenced by the effectiveness of capillary pore distribution within the fabric [19,20]. Double-faced fabric with a weft density of 70 strands per inch has a lot of vacant area (porosity) when compared to other fabric structure designs, as can be seen in the schematic 3D structural design of the double-faced woven substrate in Figure 3c.…”
Section: Wetting Time and Spreading Speed Property Of The Substratementioning
confidence: 99%
“…This is because the fabric is placed horizontally during the measurement and gravity assists in increasing absorption on the lower surface of the fabric [4]. by the effectiveness of capillary pore distribution within the fabric [19,20]. Double-faced fabric with a weft density of 70 strands per inch has a lot of vacant area (porosity) when compared to other fabric structure designs, as can be seen in the schematic 3D structural design of the double-faced woven substrate in Figure 3c.…”
Section: Absorption Rate and Maximum Wetted Radius Of The Substratementioning
Textile-based sensors fabricated using the direct-coating method are the appropriate choice to meet the aspects of flexibility, non-invasiveness, and lightness for continuous monitoring of the human body. The characteristics of the sensor substrate are directly influenced by factors such as the type of weave, thread fineness, fabric density, and the type of polymeric constituent fibers. The fabric used as the sensor substrate, fabricated using the direct-coating method, must be capable of retaining the electrode paste solution, which has higher viscosity, on one surface of the fabric to avoid short circuits during the fabrication process. However, during its application, this fabric should allow the easy passage of analyte solutions with low viscosity as much as possible. Hence, an appropriate fabric construction is required to serve as the substrate for textile-based sensors to ensure the success of the fabrication process and the effectiveness of the resulting sensor’s performance. The development of the structural design of the fabric to be used as a substrate for non-invasive biosensors with a multilayer concept is carried out by weaving and sewing processes utilizing polyester-viscose fibers. During the production process, variations are applied, such as weft yarn density, the characterization of wetting time, absorption rate, maximum wetted radius, spreading speed, and accumulative one-way transport index. The most suitable fabric for use as a substrate for non-invasive biosensors with a multilayer concept, such as in this research, is a fabric with a weft thread density of 70 strands per inch, along with the addition of an analyte transfer thread configuration.
“…Double-faced fabric with a weft density of 70 strands per inch exhibits a faster wetting time compared to double-faced fabric with weft densities of 80 strands per inch and 90 strands per inch. This phenomenon can be attributed to the fact that the fluid flow on the fabric's surface is directly influenced by the effectiveness of capillary pore distribution within the fabric [19,20]. Double-faced fabric with a weft density of 70 strands per inch has a lot of vacant area (porosity) when compared to other fabric structure designs, as can be seen in the schematic 3D structural design of the double-faced woven substrate in Figure 3c.…”
Section: Wetting Time and Spreading Speed Property Of The Substratementioning
confidence: 99%
“…This is because the fabric is placed horizontally during the measurement and gravity assists in increasing absorption on the lower surface of the fabric [4]. by the effectiveness of capillary pore distribution within the fabric [19,20]. Double-faced fabric with a weft density of 70 strands per inch has a lot of vacant area (porosity) when compared to other fabric structure designs, as can be seen in the schematic 3D structural design of the double-faced woven substrate in Figure 3c.…”
Section: Absorption Rate and Maximum Wetted Radius Of The Substratementioning
Textile-based sensors fabricated using the direct-coating method are the appropriate choice to meet the aspects of flexibility, non-invasiveness, and lightness for continuous monitoring of the human body. The characteristics of the sensor substrate are directly influenced by factors such as the type of weave, thread fineness, fabric density, and the type of polymeric constituent fibers. The fabric used as the sensor substrate, fabricated using the direct-coating method, must be capable of retaining the electrode paste solution, which has higher viscosity, on one surface of the fabric to avoid short circuits during the fabrication process. However, during its application, this fabric should allow the easy passage of analyte solutions with low viscosity as much as possible. Hence, an appropriate fabric construction is required to serve as the substrate for textile-based sensors to ensure the success of the fabrication process and the effectiveness of the resulting sensor’s performance. The development of the structural design of the fabric to be used as a substrate for non-invasive biosensors with a multilayer concept is carried out by weaving and sewing processes utilizing polyester-viscose fibers. During the production process, variations are applied, such as weft yarn density, the characterization of wetting time, absorption rate, maximum wetted radius, spreading speed, and accumulative one-way transport index. The most suitable fabric for use as a substrate for non-invasive biosensors with a multilayer concept, such as in this research, is a fabric with a weft thread density of 70 strands per inch, along with the addition of an analyte transfer thread configuration.
“…6,7 Inappropriate adhesive application could further induce bubbles, strike through, and a strike back phenomenon. [8][9][10] Screen printing is a mature technique that uses a woven mesh to support an ink-blocking stencil which can be pressed through the mesh as a sharp-edged image onto a substrate. 11,12 The technology is popular as it meets the requirements in clothing and textiles, and personalized clothing production with advantages such as mass production, high speed, and versatility.…”
Traditional fusible interlining utilizes an adhesive on the fabric surface to improve garment hand despite the cost. Recent research led to the development of printable interlining that bypasses the fusion process. Printable interlining prints the adhesive directly onto the garment parts at a suitable density, achieving the support and control equivalent to a fusion process only at a fraction of the cost. However, hurdles for applications exist in that the efficiency of the printing technique calls for improvement. One governing key performance factor, the hand value has not been evaluated. In this work, we used an efficient interlining printing technique on woolen fabrics of various weights, and optimized the hand value performance through modulation of manufacturing effective factors, including squeegee frequency, screen mesh, and agent viscosity, using an orthogonal testing strategy. The results showed that for lightweight woolen fabrics screen mesh was an important factor for hand value performance; for light and medium weight woolen fabrics, the squeegee frequency had significant impact on hand value performance; for medium and heavyweight fabrics agent viscosity was an influential factor. We also explored possible correlations between primary hand value parameters that may simplify research and manufacturing processes by reducing the number of primary hand values measured. The results revealed significant correlations between any combination of primary hand values, with stronger correlations as the fabric weight increased. These results may have implications in hand value-oriented garment manufacturing of printable interlinings to woolen fabrics.
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