Abstract
The purposes of this research are to determine the optimal process parameters of woven fabric production process and the rank of factors that influence the responses of the fabric, namely tear strength and air permeability. In this research, Taguchi method was used in the optimization of woven fabric production by involving four factors, namely weft yarn type, weft density, air pressure, and warp tension each with the three levels. Orthogonal Array L9 is used for experiments with two responses, namely the fabric tear strength and air permeability. Grey relational analysis was used to determine the optimal process parameters. The results of the experiments showed that the fourth experiment has the highest rank with a value of 0.887 with TC 30 of yarn types, 62 of weft density, 4 bar of air pressure and 2 kN of warp tension. We also found that weft yarn type become the most influence factor of the responses. For the next stage, a variance analysis must be carried out to find the significance of the factors. Subsequent research makes it possible to add other responses, namely the tensile strength of the fabric, the pilling performance, and the drape test.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shanshan, L., He, Z., Vining, G.: Simultaneous optimization of quality and reliability characteristics through designed experiment. Qual. Eng. 29(3), 344–357 (2017)
Costa, N.R.P.: Simultaneous optimization of mean and standard deviation. Qual. Eng. 22(3), 140–149 (2010)
Adanur, S.: Handbook of Weaving. CRC Press Taylor and Francis, Boca Raton (2001)
Ga, N.: Using taguchi methodology to optimize woven fabrics air permeability. J. Text. Sci. Eng. 7(6), 325–328 (2017)
Turhan, Y., Eren, R.: The effect of loom settings on weaveability limits on air-jet weaving machines. Text. Res. J. 82(2), 72–182 (2011)
Masaeli, R., Hasani, H., Shanbeh, M.: Optimizing the physical properties of elastic-woven fabrics using Grey-Taguchi method. J. Text. Inst. 106(8), 814–822 (2014)
Sarpkaya, C., Ozgur, E., Sabir, E.C.: The optimization of woven fabric tensile strength with taguchi method based on grey relational analysis. Tekstil ve Konfeksiyon 25(4), 293–299 (2015)
Umair, M., Shaker, K., Ahmad, N., Hussain, M., Jabbar, M., dan Nawab, Y.: Simultaneous optimization of woven fabric properties using principal component analysis. J. Nat. Fibers 14(6), 846–857 (2017)
Hsu, C.-M.: Improving the lighting performance of a 3535 packaged hi-power LED using genetic programming, quality loss functions and particle swarm optimization. Appl. Soft Comput. 12(9), 2933–2947 (2012)
Anthony, J.: Multi-response optimization in industrial experiments using Taguchi’s quality loss function and principal component analysis. Qual. Reliab. Eng. Int. 16(1), 3–8 (2000)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nazar, Y., Pujiyanto, E., Rosyidi, C.N. (2020). Optimization of Woven Fabric Production Process on Picanol Omniplus Air Jet Machine Using Taguchi Multi-response and Grey Relational Analysis Methods. In: Osman Zahid, M., Abd. Aziz, R., Yusoff, A., Mat Yahya, N., Abdul Aziz, F., Yazid Abu, M. (eds) iMEC-APCOMS 2019. iMEC-APCOMS 2019. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-0950-6_45
Download citation
DOI: https://doi.org/10.1007/978-981-15-0950-6_45
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0949-0
Online ISBN: 978-981-15-0950-6
eBook Packages: EngineeringEngineering (R0)