Taguchi Multi Respond for Eri Silk/Cotton Yarn Process Parameters Optimization Using Rieter R35 Rotor Open End Machine

  • Ridya Amerani Pra LovianEmail author
  • Cucuk Nur Rosyidi
  • Eko Pujiyanto
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Eri worm (Samia Cynthia ricini) is a polyphagous animal whose able to be fed by 29 species of plants such as tapioca and castor. Eri worm produces cocoon which will be furthered process into fiber in the kind of staple or short fiber. The fiber then usually blends with other fiber such as cotton or polyester. In Indonesia, there have been Eri worm cultivation from livestock, yarn making to fabric making, with poor quality, because the process is manually and traditionally. In this paper, the eri silk fiber will be blended with cotton fiber to develop a new blend fiber yarn using modern short spinning process for quality improvement. The blended materials will be processed on a Drawing Machine and then the results from that machine will be further processed using Rotor Open End RIETER R35. Taguchi multi respond is used in this paper to determine the optimal process parameters of eri silk/cotton yarn production. The results of this research can be used to increase the quality of the yarn production which currently processed using manual machine. Shows that the parameters are speed rotor with two levels are 60,000 rpm and 80,000 rpm, and speed open roll with two levels are 6,000 rpm, and 8,000 rpm, and twist multiply with two levels are 4.3 and 4.6. The optimal process parameters for eri silk/cotton yarn production were found at 60,000 rpm of rotor speed, 8,000 rpm of opening roll speed, and 4.6 of twist multiply.


Eri silk Yarn spinning Taguchi 


  1. 1.
    Garuraj, Kumar, K.P., Naika, R.: Rearing performance of eri silkworm, samia cyntia ricini (boiduval) (leooidoptera: saturniidae) on cultivars of castor. J. Entomol. Zool. Stud. 5(5), 816–821 (2017)Google Scholar
  2. 2.
    Choudhuri, P.K., Majumdar, P.K., Sarkar, B.: Studies on tensile properties of eri silk/polyester blended yarn using design of experiment methodology. Inst. Eng. (India), Ser. E 94(1), 37–46 (2013)CrossRefGoogle Scholar
  3. 3.
    Dharma, F.P., Hardiman, H.D., Ikatrinasari, Z.F., Purba, H.H.: New development fiber material: use DoE approach to determine the best formula for blended fiber silk (Samiya Cynthia Riccini and Semi-Natural Fiber). In: IOP Conference on Series: Materials Science and Engineering, vol. 508, p. 012105 (2019)CrossRefGoogle Scholar
  4. 4.
    Chollakup, R., Suesat, J., Ujjin, S.: Effect of blending factorson eri silk and cotton blended yarn and fabric characteristics. Macromol. Symp. 264, 44–49 (2008)CrossRefGoogle Scholar
  5. 5.
    Dharma, F.P., Ikatrinasari, Z.F., Purba, H.H., Ayu, W.: Reducing nonconformance quality of yarn using pareto principles and fishbone diagram in textile industry. In: IOP Conference on Series: Materials Science and Engineering, vol. 508, p. 012092 (2019)CrossRefGoogle Scholar
  6. 6.
    Nazar, Y., Lovian, R.A.P., Raharjo, D.C., Rosyidi, C.N.: Supplier selection and order allocation using TOPSIS and linear programming method at Pt. Sekarlima Surakarta. In: AIP Conference Proceedings, vol. 2097, p. 030050 (2019)Google Scholar
  7. 7.
    Ishizaka, A., Nemery, P.: Multi Criteria Decision Analysis Method and Software. Wiley, Hoboken (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Ridya Amerani Pra Lovian
    • 1
    • 2
    Email author
  • Cucuk Nur Rosyidi
    • 1
    • 2
  • Eko Pujiyanto
    • 1
    • 2
  1. 1.Master Program of Industrial EngineeringUniversitas Sebelas MaretSurakartaIndonesia
  2. 2.AK Tekstil SoloSurakartaIndonesia

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