M. Terada, Shogo Izawa, Kenta Murase, A. Yamanaka, I. Komiya, A. Hirabayashi, N. Hirayama
The quantity of low-molecular weight components included in carbon fiber reinforced in-situ polymerized polyamide 6 (iPA6-CFRP) was estimated from molecular weight distribution measured by gel permeation chromatography (GPC). Although it obtained by the weight variation of the composites across the removal of the target components, precision of the measurements depends on the weight of themselves. By contrast, GPC allows us to apply to a small quantity of sample. Moreover, we can determine the quantity without the removing and subsequent drying process. The calibration curve for the determination derived from relation between the weight fractions of the target (ε-caprolactam) included in known samples and the area ratio calculated from the molecular weight distribution of those acquired by GPC. We applied the curve to iPA6-CFRP and measured temporal changes of the quantity of the components on the removing process. The reliability of the measurements was confirmed by comparison with those determined by the weight variation. As an example of application of the method, we measured concentration distribution of the target in thickness direction of iPA6-CFRP before and after the hot water extraction. From the variation of the distribution, the mass transfer phenomena will be express by unsteady-state one-dimensional diffusion. unreacted components, Carbon fiber reinforced composites, In-situ polymerized polyamide 6, GPC
{"title":"The Determination of Quantity of Unreacted Components in In-situ Polymerized Carbon Fiber Reinforced Polyamide 6 Composites","authors":"M. Terada, Shogo Izawa, Kenta Murase, A. Yamanaka, I. Komiya, A. Hirabayashi, N. Hirayama","doi":"10.4188/jte.67.33","DOIUrl":"https://doi.org/10.4188/jte.67.33","url":null,"abstract":"The quantity of low-molecular weight components included in carbon fiber reinforced in-situ polymerized polyamide 6 (iPA6-CFRP) was estimated from molecular weight distribution measured by gel permeation chromatography (GPC). Although it obtained by the weight variation of the composites across the removal of the target components, precision of the measurements depends on the weight of themselves. By contrast, GPC allows us to apply to a small quantity of sample. Moreover, we can determine the quantity without the removing and subsequent drying process. The calibration curve for the determination derived from relation between the weight fractions of the target (ε-caprolactam) included in known samples and the area ratio calculated from the molecular weight distribution of those acquired by GPC. We applied the curve to iPA6-CFRP and measured temporal changes of the quantity of the components on the removing process. The reliability of the measurements was confirmed by comparison with those determined by the weight variation. As an example of application of the method, we measured concentration distribution of the target in thickness direction of iPA6-CFRP before and after the hot water extraction. From the variation of the distribution, the mass transfer phenomena will be express by unsteady-state one-dimensional diffusion. unreacted components, Carbon fiber reinforced composites, In-situ polymerized polyamide 6, GPC","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77656745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nishijin-ori is a traditional yarn-dyed fabric of the Nishijin district in Kyoto, Japan. Since 1975, the number of Nishijn-ori companies, looms, employees, and total shipments has been shrinking. To generate new demand, a dramatic shift towards delivering value-added fabric products is required. The Nishijin district is renowned for its traditional technique called hikibaku , whereby Japanese washi paper is cut to a thickness of about 0.2 to 0.3 mm, and woven with the yarn in a weft direction. We applied this hikibaku technique to develop a fabric that incorporates cut leather instead of washi paper. The purpose of this study is to clarify the texture and physical properties of the new leather-silk woven hikibaku-leather fabric and demonstrate its advantages to pure cowhide. A questionnaire on tactile sensations was conducted on 26 men and women to determine the perceived texture of the fabric. Physical properties relating to the tactile sensation were then measured and compared with the questionnaire results. In order to obtain a guideline for the direction of future textile development that matches the assumed user's sensibilities, we first verified the correlation between the factor scores extracted from the Kansei (subjective response) evaluation, and the physical properties of the textiles. Next, we discerned the physical properties that should be focused on for each of the extracted factors and clarified the newly developed textile material in the extracted factor space. Words : Textile, KES (Kawabata Evaluation System), Semantic differential method, Factor analysis
{"title":"Kansei Evaluation of Tactile Response to New Leather Textile Made Using the NISHIJIN-ORI Technique","authors":"Masashi Kano, K. Nakajima, N. Kuwahara","doi":"10.4188/jte.67.21","DOIUrl":"https://doi.org/10.4188/jte.67.21","url":null,"abstract":"Nishijin-ori is a traditional yarn-dyed fabric of the Nishijin district in Kyoto, Japan. Since 1975, the number of Nishijn-ori companies, looms, employees, and total shipments has been shrinking. To generate new demand, a dramatic shift towards delivering value-added fabric products is required. The Nishijin district is renowned for its traditional technique called hikibaku , whereby Japanese washi paper is cut to a thickness of about 0.2 to 0.3 mm, and woven with the yarn in a weft direction. We applied this hikibaku technique to develop a fabric that incorporates cut leather instead of washi paper. The purpose of this study is to clarify the texture and physical properties of the new leather-silk woven hikibaku-leather fabric and demonstrate its advantages to pure cowhide. A questionnaire on tactile sensations was conducted on 26 men and women to determine the perceived texture of the fabric. Physical properties relating to the tactile sensation were then measured and compared with the questionnaire results. In order to obtain a guideline for the direction of future textile development that matches the assumed user's sensibilities, we first verified the correlation between the factor scores extracted from the Kansei (subjective response) evaluation, and the physical properties of the textiles. Next, we discerned the physical properties that should be focused on for each of the extracted factors and clarified the newly developed textile material in the extracted factor space. Words : Textile, KES (Kawabata Evaluation System), Semantic differential method, Factor analysis","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85047935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akichika Nakashima, Yusuke Higuchi, Yohei Sato, Lina Wakako, T. Kinari
To improve the calculation accuracy of the contractile force in a shape memory alloy (SMA) knitted fabric actuator, which was developed in a previous study, we measured the Young's modulus, E , and wire diameter, d , of a SMA yarn in unheated (20 °C) and heated (100 °C) environments. Subsequently, the contractile force in the heated environment was calculated in terms of bending rigidity ( EI ) using the measured values of E and d . The accuracy of the theoretical contractile force, considering contraction and increment in EI , was improved when compared with that in the former one, which only considered contraction of the SMA yarn. Furthermore, to enhance calculation accuracy, we proposed a 2 dimensional stitch model for SMA plain knitted fabric. This model consisted of clothoid curves through four contact points, where each yarn crosses the other stitches and act forces. Further, this model could show the change in the curvature via the contraction of the yarn as well as the increase in its potential energy. Therefore, it was confirmed that this model is useful for calculating the contractile force of the SMA knitted fabric.
{"title":"Contractile Force and Stitch Modeling of Shape Memory Alloy Knitted Fabric Actuators","authors":"Akichika Nakashima, Yusuke Higuchi, Yohei Sato, Lina Wakako, T. Kinari","doi":"10.4188/JTE.67.13","DOIUrl":"https://doi.org/10.4188/JTE.67.13","url":null,"abstract":"To improve the calculation accuracy of the contractile force in a shape memory alloy (SMA) knitted fabric actuator, which was developed in a previous study, we measured the Young's modulus, E , and wire diameter, d , of a SMA yarn in unheated (20 °C) and heated (100 °C) environments. Subsequently, the contractile force in the heated environment was calculated in terms of bending rigidity ( EI ) using the measured values of E and d . The accuracy of the theoretical contractile force, considering contraction and increment in EI , was improved when compared with that in the former one, which only considered contraction of the SMA yarn. Furthermore, to enhance calculation accuracy, we proposed a 2 dimensional stitch model for SMA plain knitted fabric. This model consisted of clothoid curves through four contact points, where each yarn crosses the other stitches and act forces. Further, this model could show the change in the curvature via the contraction of the yarn as well as the increase in its potential energy. Therefore, it was confirmed that this model is useful for calculating the contractile force of the SMA knitted fabric.","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85301924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electrospun polyvinyl alcohol (PVA) nanofiber fabrics functionalized by Cibacron Blue F3GA (CB) as an affinity ligand were prepared as efficient platforms for protein adsorption. Bovine serum albumin (BSA) was selected as a model protein to investigate their static adsorption behaviors. The protein adsorption capacities for the PVA nanofiber are 355.9 and 793.7 mg/g before and after CB modification, resulting in a 2.2 times increase. Then, dynamic experiments were conducted to determine the function of CB modification to the PVA nanofiber fabric. The effects of initial concentration and permeation rate on the dynamic adsorption behaviors for BSA of the CB-modified PVA nanofiber fabrics were also studied. The pseudo-first-order and pseudo-second-order kinetic models were used to analyze the kinetic adsorption data, and the latter was better fitted the experimental data. Furthermore, the adsorbed BSA can be easily eluted by a 0.1 M NaCl solution, and the CB-modified PVA nanofiber fabrics presented competent adsorption performance in the three-cycle reused experiment. Finally, the adsorption efficiency by the static and dynamic methods was compared. The obtained results demonstrate the potential of using the CB-modified PVA nanofiber for the affinity adsorption and isolation of proteins. and
以Cibacron Blue F3GA (CB)为亲和配体，制备了电纺丝聚乙烯醇(PVA)纳米纤维织物，作为蛋白质吸附的高效平台。以牛血清白蛋白(BSA)为模型蛋白，研究其静态吸附行为。改性前后PVA纳米纤维的蛋白质吸附量分别为355.9和793.7 mg/g，提高了2.2倍。在此基础上，通过动态实验确定了CB改性对PVA纳米纤维织物的作用。研究了初始浓度和渗透速率对cb改性PVA纳米纤维织物对牛血清白蛋白动态吸附行为的影响。采用拟一阶和拟二阶动力学模型对吸附动力学数据进行了分析，后者与实验数据拟合较好。此外，吸附的BSA可以很容易地被0.1 M NaCl溶液洗脱，并且在三循环重复使用实验中，cb改性PVA纳米纤维织物具有良好的吸附性能。最后比较了静态和动态两种方法的吸附效率。研究结果表明，利用cb修饰的聚乙烯醇纳米纤维对蛋白质进行亲和吸附和分离是有潜力的。和
{"title":"Dynamic Adsorption Behaviors of Protein on Cibacron Blue-Modified PVA Nanofiber Fabrics","authors":"Song Liu, Y. Mukai","doi":"10.4188/JTE.67.1","DOIUrl":"https://doi.org/10.4188/JTE.67.1","url":null,"abstract":"Electrospun polyvinyl alcohol (PVA) nanofiber fabrics functionalized by Cibacron Blue F3GA (CB) as an affinity ligand were prepared as efficient platforms for protein adsorption. Bovine serum albumin (BSA) was selected as a model protein to investigate their static adsorption behaviors. The protein adsorption capacities for the PVA nanofiber are 355.9 and 793.7 mg/g before and after CB modification, resulting in a 2.2 times increase. Then, dynamic experiments were conducted to determine the function of CB modification to the PVA nanofiber fabric. The effects of initial concentration and permeation rate on the dynamic adsorption behaviors for BSA of the CB-modified PVA nanofiber fabrics were also studied. The pseudo-first-order and pseudo-second-order kinetic models were used to analyze the kinetic adsorption data, and the latter was better fitted the experimental data. Furthermore, the adsorbed BSA can be easily eluted by a 0.1 M NaCl solution, and the CB-modified PVA nanofiber fabrics presented competent adsorption performance in the three-cycle reused experiment. Finally, the adsorption efficiency by the static and dynamic methods was compared. The obtained results demonstrate the potential of using the CB-modified PVA nanofiber for the affinity adsorption and isolation of proteins. and","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81242344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fangmeng Zeng, Y. Lin, Panote Siriaraya, Dongeun Choi, N. Kuwahara
The global population is ageing; exacerbating a range of age-related health problems, like dementia. In the late stage of dementia, patients often are unable to find words to express their feelings; causing serious challenges in healthcare. Our aim is to detect the emotions of elderly patients using physiological signals - electroencephalogram (EEG) and electrocardiogram (ECG) - using deep learning neural networks. However, most EEG and ECG monitoring devices are uncomfortable and not suitable for daily wear by elderly people. For this study, a prior experiment was conducted on 5 healthy elderly subjects for binary classification of positive and negative emotions: EEG and ECG data were collected from the subjects, using our own designed wearable textile devices while they watch selected stimuli. We propose an end-to-end deep learning method - Long short-term memory (LSTM) - to detect emotion from raw clean signals after removing noises and baseline wander. LSTM can learn features from raw data directly and achieve binary emotion classification with an accuracy of 76.67% with EEG signals, 75.00% with ECG signals, and 95.00% with EEG and ECG signals, respectively. This proposed system for detecting emotion by deep learning method using our user-friendly and easy-to-wear textile devices offer great prospects for use in everyday care situations and dementia care.
{"title":"Emotion Detection Using EEG and ECG Signals from Wearable Textile Devices for Elderly People","authors":"Fangmeng Zeng, Y. Lin, Panote Siriaraya, Dongeun Choi, N. Kuwahara","doi":"10.4188/JTE.66.109","DOIUrl":"https://doi.org/10.4188/JTE.66.109","url":null,"abstract":"The global population is ageing; exacerbating a range of age-related health problems, like dementia. In the late stage of dementia, patients often are unable to find words to express their feelings; causing serious challenges in healthcare. Our aim is to detect the emotions of elderly patients using physiological signals - electroencephalogram (EEG) and electrocardiogram (ECG) - using deep learning neural networks. However, most EEG and ECG monitoring devices are uncomfortable and not suitable for daily wear by elderly people. For this study, a prior experiment was conducted on 5 healthy elderly subjects for binary classification of positive and negative emotions: EEG and ECG data were collected from the subjects, using our own designed wearable textile devices while they watch selected stimuli. We propose an end-to-end deep learning method - Long short-term memory (LSTM) - to detect emotion from raw clean signals after removing noises and baseline wander. LSTM can learn features from raw data directly and achieve binary emotion classification with an accuracy of 76.67% with EEG signals, 75.00% with ECG signals, and 95.00% with EEG and ECG signals, respectively. This proposed system for detecting emotion by deep learning method using our user-friendly and easy-to-wear textile devices offer great prospects for use in everyday care situations and dementia care.","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"115 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90157006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
From the perspective of 3D custom-made garment design, the 3D-body curved surface shapes of 1,144 males in an extensive age group (18 to 86 years old) were investigated using the angle values of three curvatures (Kc, kc, and Hc) by multivariate analysis. From the 3D data, fourteen 3D-body shape types were categorized using the sum angle values of each of the elliptical (+Kc), the hyperbolic (-Kc), the convex (+Hc), and the concave (-Hc) curved surface shapes of ten areas. There was one body type in the 20s group, three in each of the 30s, younger 40s, elder 40s groups, 50s groups, and one in the 60s group. The curvature values and the curvature color map of the 3D-body surfaces clearly displayed the difference in height between the convex elliptic curved surfaces in the abdomen, buttocks, and legs areas due to the change with age.
{"title":"Classification Features of 3D-body Curved Surface Shapes of Adult Males in the Extensive Age Group Using Angle Curvatures","authors":"T. Masuda","doi":"10.4188/jte.66.93","DOIUrl":"https://doi.org/10.4188/jte.66.93","url":null,"abstract":"From the perspective of 3D custom-made garment design, the 3D-body curved surface shapes of 1,144 males in an extensive age group (18 to 86 years old) were investigated using the angle values of three curvatures (Kc, kc, and Hc) by multivariate analysis. From the 3D data, fourteen 3D-body shape types were categorized using the sum angle values of each of the elliptical (+Kc), the hyperbolic (-Kc), the convex (+Hc), and the concave (-Hc) curved surface shapes of ten areas. There was one body type in the 20s group, three in each of the 30s, younger 40s, elder 40s groups, 50s groups, and one in the 60s group. The curvature values and the curvature color map of the 3D-body surfaces clearly displayed the difference in height between the convex elliptic curved surfaces in the abdomen, buttocks, and legs areas due to the change with age.","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91181295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper has two purpose. The first purpose is to identify how many people (university students) have a desire for approval, and from who they want to get approval. The second purpose is to clarify what selection criteria are there for others to approval the students’ fashion. As the method, a questionnaire survey was conducted, and factor analysis was performed using the responses of the subjects. The result was that 72.5 % of the students wanted approval. They wanted to feel recognized at fashion by their close friends and their SNS followers. The selection criteria for items related to fashion are as follows. Male university students’ fashion selection criteria were “look good”, “pride” and “sense”. The criteria for female university students to choose fashion were “look good”, “cuteness” and “self -worth”. Among the fashion selection criteria, the “cuteness” criterion is a characteristic of female students. It suggests that they want to appear cute to others. In order to be approved by others, the factors listed above are more important than the price.
{"title":"University Students’ Fashion Selection Criteria Including Desire of Approval","authors":"Yukie Tsuji","doi":"10.4188/JTE.66.77","DOIUrl":"https://doi.org/10.4188/JTE.66.77","url":null,"abstract":"This paper has two purpose. The first purpose is to identify how many people (university students) have a desire for approval, and from who they want to get approval. The second purpose is to clarify what selection criteria are there for others to approval the students’ fashion. As the method, a questionnaire survey was conducted, and factor analysis was performed using the responses of the subjects. The result was that 72.5 % of the students wanted approval. They wanted to feel recognized at fashion by their close friends and their SNS followers. The selection criteria for items related to fashion are as follows. Male university students’ fashion selection criteria were “look good”, “pride” and “sense”. The criteria for female university students to choose fashion were “look good”, “cuteness” and “self -worth”. Among the fashion selection criteria, the “cuteness” criterion is a characteristic of female students. It suggests that they want to appear cute to others. In order to be approved by others, the factors listed above are more important than the price.","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84574594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A coalescer is a useful device for removing oil from oil-in-water (O/W) emulsion, but it is unsuitable for the coalescence of fine oil droplets less than 10 μm. In this study, a nanofiber membrane was applied as a fibrous layer equipped in the coalescer to coalesce the fine oil droplets less than 10 μm, and the lipophilic polypropylene nanofiber membrane was selected in consideration of an affinity for oil. The O/W emulsion including the fine oil droplets was permeated through the membrane for evaluating the coalescence properties of fine oil droplets. In the initial stage of permeation, the oil droplets were strongly attracted to the lipophilic surface of nanofibers, and a thin oil film was formed on the entire fiber surface. Subsequent oil droplets were incorporated into the oil film, resulting in the growth of the oil film. When the fibers could no longer hold fully grown oil film, excess oil film was finally released from the outlet of the membrane. The released oil pieces floated and formed an oil layer on the surface of permeated fluid. In the steady state, the separation ratio of 83.3 % was observed under low pressure loss of 17 kPa. The size distribution data of droplets in the permeated fluid clearly demonstrated that the polypropylene nanofiber membrane used in this study could completely coalesce and separate the fine oil droplets of 2 to 10 μm.
{"title":"Coalescence and Separation Properties of Fine Oil Droplets by Lipophilic Nanofiber Membrane","authors":"Y. Mukai, Motoki Hara","doi":"10.4188/JTE.66.87","DOIUrl":"https://doi.org/10.4188/JTE.66.87","url":null,"abstract":"A coalescer is a useful device for removing oil from oil-in-water (O/W) emulsion, but it is unsuitable for the coalescence of fine oil droplets less than 10 μm. In this study, a nanofiber membrane was applied as a fibrous layer equipped in the coalescer to coalesce the fine oil droplets less than 10 μm, and the lipophilic polypropylene nanofiber membrane was selected in consideration of an affinity for oil. The O/W emulsion including the fine oil droplets was permeated through the membrane for evaluating the coalescence properties of fine oil droplets. In the initial stage of permeation, the oil droplets were strongly attracted to the lipophilic surface of nanofibers, and a thin oil film was formed on the entire fiber surface. Subsequent oil droplets were incorporated into the oil film, resulting in the growth of the oil film. When the fibers could no longer hold fully grown oil film, excess oil film was finally released from the outlet of the membrane. The released oil pieces floated and formed an oil layer on the surface of permeated fluid. In the steady state, the separation ratio of 83.3 % was observed under low pressure loss of 17 kPa. The size distribution data of droplets in the permeated fluid clearly demonstrated that the polypropylene nanofiber membrane used in this study could completely coalesce and separate the fine oil droplets of 2 to 10 μm.","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"70 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89517505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The 3-dimensional (3D) structured spacer fabrics can provide good air-permeability and cushioning effect. It is deformable and has damping capacity can enable vibration isolation. This study aims to investigate the effect of an elastic inlay on the ability of spacer fabrics to isolate vibration. Seven weft-knitted spacer fabric samples consisting of three different spacer structures were constructed by using a v-bed flat knitting machine. Three of the samples were inlaid with spandex yarn on the surface layers and compare with the other three samples without the inlay. One more sample with the spandex yarn knitted together with the surface yarns of the spacer fabric was also produced to investigate the effect of the elastic yarn application method. The vibration transmissibility and compression behaviours of the samples were tested. The results showed that thicker spacer structure with a longer linking distance of the monofilament yarn can provide a higher degree and range of vibration isolation. The application of elastic yarn increases the fabric thickness. However, spacer fabric made by elastic inlay showed a lower compression stiffness than that made by elastic yarn knitted with the surface yarns. The spacer fabrics with elastic inlay showed better vibration isolation ability having a lower natural frequency and isolated vibration in a wider frequency range.
{"title":"Investigation of Vibration Isolation Behaviour of Spacer Fabrics with Elastic Inlay","authors":"A. Yu, S. Sukigara, A. Masuda","doi":"10.4188/JTE.66.65","DOIUrl":"https://doi.org/10.4188/JTE.66.65","url":null,"abstract":"The 3-dimensional (3D) structured spacer fabrics can provide good air-permeability and cushioning effect. It is deformable and has damping capacity can enable vibration isolation. This study aims to investigate the effect of an elastic inlay on the ability of spacer fabrics to isolate vibration. Seven weft-knitted spacer fabric samples consisting of three different spacer structures were constructed by using a v-bed flat knitting machine. Three of the samples were inlaid with spandex yarn on the surface layers and compare with the other three samples without the inlay. One more sample with the spandex yarn knitted together with the surface yarns of the spacer fabric was also produced to investigate the effect of the elastic yarn application method. The vibration transmissibility and compression behaviours of the samples were tested. The results showed that thicker spacer structure with a longer linking distance of the monofilament yarn can provide a higher degree and range of vibration isolation. The application of elastic yarn increases the fabric thickness. However, spacer fabric made by elastic inlay showed a lower compression stiffness than that made by elastic yarn knitted with the surface yarns. The spacer fabrics with elastic inlay showed better vibration isolation ability having a lower natural frequency and isolated vibration in a wider frequency range.","PeriodicalId":35429,"journal":{"name":"Journal of Textile Engineering","volume":"94 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83683516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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