Study on the threshold range of polyester ratio for polyester/viscose blended fabrics based on cognitive psychology

References

• Bajaj, S., & Bains, S. (2019). Evaluation of quality and assurance parameters of mulberry silk waste and viscose blended knitted fabrics by using ‘fabric assurance by simple testing’. Advances in Research, 1–8. https://doi.org/10.9734/air/2019/v19i630137
   Google Scholar
• Barker, R. L. (2002). From fabric hand to thermal comfort: The evolving role of objective measurements in explaining human comfort response to textiles. International Journal of Clothing Science and Technology, 14(3/4), 181–200. https://doi.org/10.1108/09556220210437158
   Google Scholar
• Bertaux, E., Derler, S., Rossi, R. M., Zeng, X., Koehl, L., & Ventenat, V. (2010). Textile, Physiological, and Sensorial Parameters in Sock Comfort. Textile Research Journal, 80(8), 1803–1810. https://doi.org/10.1177/0040517510369409
   Google Scholar
• Bhattacharjee, D., & Kothari, V. K. (2007). A neural network system for prediction of thermal resistance of textile fabrics. Textile Research Journal, 77(1), 4–12. https://doi.org/10.1177/0040517506070065
   Web of Science ®Google Scholar
• Bishop, D. P. (1996). Fabrics: Sensory and mechanical properties. Textile Progress, 26(3), 1–62. https://doi.org/10.1080/00405169608688866
   Google Scholar
• Chen, J. (2009). Development and Property Research of Polyester and Viscose Blended Products (Doctoral Disseration). Suchow University.
   Google Scholar
• Dong, O. K., Yoo, S., & Kim, E. A. (2005). Objective measures for perceived touch of worsted fabrics. International Journal of Industrial Ergonomics, 35(12), 1159–1169. https://doi.org/10.1016/j.ergon.2005.05.002
   Web of Science ®Google Scholar
• Giboreau, A., Navarro, S., Faye, P., & Dumortier, J. (2001). Sensory evaluation of automotive fabrics: The contribution of categorization tasks and non verbal information to set-up a descriptive method of tactile properties. Food Quality and Preference, 12(5-7), 311–322. https://doi.org/10.1016/S0950-3293(01)00016-7
   Web of Science ®Google Scholar
• Ismail, M. I., Ammar, A. S. A., & El-Okeily, M. (1988). Heat transfer through textile fabrics: Mathematical model. Applied Mathematical Modelling, 12(9), 1187–1193. https://doi.org/10.1016/0307-904X(88)90075-3
   Google Scholar
• ISO 139:2005 “Textiles—Standard atmosphere for conditioning and testing” (2005). International Organization for Standardization.
   Google Scholar
• ISO 6658:2017 “Sensory analysis- methodology-general guidance”. (2017). International Organization for Standardization.
   Google Scholar
• Ji, Y., Wang, J., Ye, J., Fu, G. & Zhang, J. (2015). FZ/T 12004-2015 Polyester and Viscose Middle Length Fiber Blended Grey Yarns. Beijing, China.
   Google Scholar
• Kawabata, S. (1985). Application of the new thermal tester “Thermolabo” to the evaluation of clothing comfort. In Proc. 3rd Japan Australia Symposium, 1985 (Vol. 343). Text. Machinery Soc.
   Google Scholar
• Kawabata, S. (2005). The standardization and analysis of hand evaluation. In Effect of mechanical and physical properties on fabric hand (pp. 389–442). Woodhead Publishing.
   Google Scholar
• Le, C. V., Ly, N. G., & Postle, R. (1995). Heat and moisture transfer in textile assemblies Part I: steaming of wool, cotton, nylon, and polyester fabric beds. Textile Research Journal Publication Journal, 65(4), 203–212. https://doi.org/10.1177/004051759506500403
   Web of Science ®Google Scholar
• Li, Y. (2001). The science of clothing comfort. Textile Progress, 31(1-2), 1–135. https://doi.org/10.1080/00405160108688951
   Google Scholar
• Li, Z. (2018). Collaborative Filtering Recommendation Algorithm based on Cluster. International Journal of Performability Engineering, 14(5), 927–936. https://doi.org/10.23940/ijpe.18.05.p11.927936
   Google Scholar
• Li, Y., & Dai, X-Q. (2006). 12 – Fabrics. In Textiles, biomechanical engineering of textiles and clothing (pp. 199–222).Woodhead Publishing.
   Google Scholar
• Li, M., Li, D. P., Zhang, W. Y., & Tang, X. Z. (2009). Factor analysis on subjective attributes affecting knitted fabric’s comfort sensation.
   Google Scholar
• Meng, X. L., & Zhang, W. Y. (2006). Progress of study on pressure comfort of clothing. Journal of Textile Research, 27(7), 109–112.
   Google Scholar
• Nayak, R. K., Punaj, S. K., Chatterjee, K. N., & Behera, B. K. (2009). Comfort properties of suiting fabrics. Indian Journal of Fiber and Textile Research, 34(2).
   Web of Science ®Google Scholar
• Naylor, G. R. S., Phillips, D. G., Veitch, C. J., Dolling, M., & Marland, D. J. (1997). Fabric-evoked prickle in worsted spun single jersey fabrics Part I: The role of fiber end diameter characteristics. Textile Research Journal, 67(4), 288–295. https://doi.org/10.1177/004051759706700408
   Web of Science ®Google Scholar
• Parmar, M. S., Sisodia, N., & Singh, M. (2019). Development of a Smoothness Tester for Fabrics. In Functional Textiles and Clothing (pp. 307–319). Springer.
   Google Scholar
• Patil, S., Mahapatra, A., Gotmare, V. D., Patil, P. G., Bharimalla, A. K., & Arputharaj, A. (2019). Effect of different mercerization techniques on tactile comfort of cotton fabric. Indian Journal of Fiber & Textile Research (IJFTR), 44(2), 217–222.
   Web of Science ®Google Scholar
• Radhakrishnaiah, P., Tejatanalert, S., & Sawhney, A. P. S. (1993). Handle and comfort properties of woven fabrics made from random blend and cotton-covered cotton/polyester yarns. Textile Research Journal, 63(10), 573–579. https://doi.org/10.1177/004051759306301003
   Web of Science ®Google Scholar
• Rombaldoni, F., Demichelis, R., & Mazzuchetti, G. (2010). Prediction of Human Psychophysicial Perception of Fabric Crispness and Coolness Hand from Rapidly Measurable Low-stress Mechanical and Thermal Parameters. Journal of Sensory Studies, 25(6), 899–916. https://doi.org/10.1111/j.1745-459X.2010.00312.x
   Web of Science ®Google Scholar
• Saaty, T. L. (1988). What is the analytic hierarchy process?. In Mathematical models for decision support (pp. 109–121). Springer.
   Google Scholar
• Song, X. X., & Feng, X. W. (2006). Relationship between garment pressure and human body comfortableness. Journal of Textile Research, 27(3), 103–105.
   Google Scholar
• Stark, S., Chernyshenko, O. S., Drasgow, F., & Williams, B. A. (2006). Examining assumptions about item responding in personality assessment: should ideal point methods be considered for scale development and scoring? The Journal of Applied Psychology, 91(1), 25–39. https://doi.org/10.1037/0021-9010.91.1.25
   PubMed Web of Science ®Google Scholar
• Sülar, V., & Okur, A. (2007). Sensory Evaluation Methods for Tactile Properties of Fabrics. Journal of Sensory Studies, 22(1), 1–16. https://doi.org/10.1111/j.1745-459X.2007.00090.x
   Web of Science ®Google Scholar
• Sun, Y., Zhang, M., Liu, G., & Du, Z. (2019). Measurement of fabric handle characteristics based on the Quick-Intelligent Handle Evaluation System for Fabrics (QIHES-F). Textile Research Journal, 89(16), 3374–3386. https://doi.org/10.1177/0040517518811947
   Web of Science ®Google Scholar
• Verma, V. (2017). Blended Fibers Market to exceed $57bn by 2024. Retrieved from https://www.gminsights.com/pressrelease/blended-fibers-market
   Google Scholar
• Wang, Y. P. (2012). Research on garment tactile comfort based on electronenurophysiology. (Master). Donghua Univerisity.
   Google Scholar
• Wind, Y., & Saaty, T. L. (1980). Marketing applications of the analytic hierarchy process. Management Science, 26(7), 641–658. https://doi.org/10.1287/mnsc.26.7.641
   Web of Science ®Google Scholar
• Yoon, H. N., & Buckley, A. (1984). Improved comfort polyester: Part I: Transport properties and thermal comfort of polyester/cotton blend fabrics. Textile Research Journal, 54(5), 289–298. https://doi.org/10.1177/004051758405400502
   Web of Science ®Google Scholar