Startseite Quality optimization and process capability analysis of ring spun Supima cotton yarn
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Quality optimization and process capability analysis of ring spun Supima cotton yarn

  • Kursat Oncul

    Dr. Kursat Oncul, born in 1966, completed his Diploma Degree and his PhD in Textile Technology in the Department of Textile Engineering, both at Ege University, Izmir, Turkey. Since 1992 he has been a research assistant in Ege University, first two years in Ege Vocational Training School and subsequently in Emel Akin Vocational Training School. He attended the Six Sigma Black Belt course as part of his doctoral dissertation and got his certificate. In 2012, he received his Doctorate with the topic: “The applicability of Six Sigma method in apparel companies”.

     EMAIL logo
Veröffentlicht/Copyright: 21. Oktober 2021
Veröffentlichen auch Sie bei De Gruyter Brill
Manuskript einreichen Informationen für Autor*innen
Materials Testing
Aus der Zeitschrift Materials Testing Band 63 Heft 10

Abstract

The response surface method and process capability analysis were conducted in this study to improve evenness, hairiness, imperfections, and tensile strength of ring spun Supima cotton yarn by optimizing values of spinning parameters including traveler mass, yarn density, spindle speed, and yarn twist. The yarns were spun into three densities: 20 Ne, 30 Ne, and 38 Ne. An USTER Tester 5-S800 was used to evaluate the irregularity parameters of yarn. A Lloyd tester was also used to determine the yarn breaking load. The response surface method was applied to optimize the statistical values obtained from the tests of the yarns produced based on the combination values of system parameters. Each response was subjected to a response surface design study, and the optimal values were achieved by using a response optimizer to perform multiple response optimization. Interpreting the response surface design results yielded information such as the absolute values of effects, response degree of significance, data compatibility, and model suitability. Individual desirability, composite desirability, different estimates for each response, and the relationship between response and system variables were all revealed by interpreting the response optimization results. The capability indices of process capability analysis were used to compare process performance before and after response optimization. By interpreting the capability indices’ values of process capability analysis, the capability of the process to meet requirements and improvement potential were acquired. The data was analyzed by implementing Minitab software (Version 19).

Keywords: Yarn quality; ring spinning; supima cotton; response optimization; process capability analysis
Kursat Oncul Ege University Emel Akın Vocational Training School T. C. Ege Üniversitesi, Emel Akın Meslek Yüksekokulu 35100 Bornova, İzmir, Turkey

About the author

Dr. Kursat Oncul

Dr. Kursat Oncul, born in 1966, completed his Diploma Degree and his PhD in Textile Technology in the Department of Textile Engineering, both at Ege University, Izmir, Turkey. Since 1992 he has been a research assistant in Ege University, first two years in Ege Vocational Training School and subsequently in Emel Akin Vocational Training School. He attended the Six Sigma Black Belt course as part of his doctoral dissertation and got his certificate. In 2012, he received his Doctorate with the topic: “The applicability of Six Sigma method in apparel companies”.

References

1 M. A. El-Sayed: Optimizing ring spinning variables and a proposed procedure to determine the Egyptian cotton spinning potential, JTATM Journal of Textile and Apparel Technology and Management 6 (2009), No. 1, pp. 1-910.21608/ejar.2007.218050Suche in Google Scholar

2 M. Hossain, A. Abdkader, A. Nocke, R. Unger, F. Krzywinski, M. Hasan, C. Cherif: Measurement methods of dynamic yarn tension in a ring spinning process, Fibres and Textiles in Eastern Europe 24 (2016), No. 1, pp. 36-43 DOI:10.5604/12303666.117209810.5604/12303666.1172098Suche in Google Scholar

3 T. Jackowski, B. Chylewska, D. Cyniak: Influence of the spinning process parameters on strength characteristics of cotton yarns, Fibres and Textiles in Eastern Europe 10 (2002), No. 3, pp. 27-31 DOI:10.1.1.599.698610.1.1.599.6986Suche in Google Scholar

4 G. Krupincová, M. Meloun: Yarn hairiness versus quality of yarn, The Journal of the Textile Institute 104 (2013), No. 12, pp. 1312-1319 DOI:10.1080/00405000.2013.80037710.1080/00405000.2013.800377Suche in Google Scholar

5 N. Haleem, X. Wang: Recent research and developments on yarn hairiness, Textile Research Journal 85 (2015), No. 2, pp. 211-224 DOI:10.1177/004051751453869210.1177/0040517514538692Suche in Google Scholar

6 F. Khurshid, S. Aslam, U. Ali, A. Abbas, T. A. Hamdani, F. Hussain: Optimization of break draft, pin spacer and rubber cots hardness to enhance the quality of ring spun yarn using factorial design, Journal of Engineered Fibers and Fabrics 13 (2018), No. 2, pp. 58-65 DOI:10.1177/15589250180130020910.1177/155892501801300209Suche in Google Scholar

7 S. Fattahi, S. A. H. Ravandi, S. M. Taheri: Two-way prediction of cotton yarn properties and fiber properties using multivariate multiple regression, Journal of the Textile Institute 102 (2011), No. 10, pp. 849-856 DOI:10.1080/00405000.2010.52436210.1080/00405000.2010.524362Suche in Google Scholar

8 N. T. Akankwasa, J. Wang, Y. Zhang: Study of optimum spinning parameters for production of t-400/cotton core spun yarn by ring spinning, The Journal of The Textile Institute 107 (2015), No. 4, pp. 504-511 DOI:10.1080/00405000.2015.104525410.1080/00405000.2015.1045254Suche in Google Scholar

9 M. B. Qadir, Z. A. Malik, U. Ali, A. Shahzad, T. Hussain, A. Abbas, M. Asad, Z. Khaliq: Response surface modeling of physical and mechanical properties of cotton slub yarns, Autex Research Journal 18 (2018), No. 2, pp. 173-180 DOI:10.1515/aut-2017-002510.1515/aut-2017-0025Suche in Google Scholar

10 S. Ishtiaque, R. Rengasamy, A. Ghosh: Optimization of ring frame process parameters for better yarn quality and production, Indian Journal of Fibre and Textile Research 29 (2004), No. 2, pp. 190-195Suche in Google Scholar

11 Hasanuzzaman, P. K. Dan, S. Basu: Optimization of ring-spinning process parameters using response surface methodology, The Journal of the Textile Institute 106 (2015), No. 5, pp. 510-522 DOI:10.1080/00405000.2014.92925010.1080/00405000.2014.929250Suche in Google Scholar

12 M. Ghane, D. Semnani, R. Saghafi, H. Beigzadeh: Optimization of top roller diameter of ring machine to enhance yarn evenness by using artificial intelligence, Indian Journal of Fibre and Textile Research 33 (2008), pp. 365-370Suche in Google Scholar

13 T. Karthik, R. Murugan: Optimization of drafting zone variables in ring spinning for the production of cotton/milkweed blended yarns, Indian Journal of Fibre and Textile Research 41 (2016), pp. 121-128Suche in Google Scholar

14 H. Ghanmi, A. Ghith, T. Benameur: Response surface regression models for prediction of ring spun yarn properties, Research Journal of Textile and Apparel 19 (2015), No. 4, pp. 1-10 DOI:10.1108/rjta-19-04-2015-b00110.1108/rjta-19-04-2015-b001Suche in Google Scholar

15 J. Feng, B. G. Xu, X. M. Tao: Systematic investigation and optimization of fine cotton yarns produced in a modified ring spinning system using statistical methods, Textile Research Journal 83 (2012), No. 3, pp. 238-248 DOI:10.1177/004051751245676110.1177/0040517512456761Suche in Google Scholar

16 R. Erol, A. Sagbas: Multiple response optimisation of the staple-yarn production process for hairiness, strength and cost, Fibres and Textiles in Eastern Europe 17 (2009), No. 5, pp. 40-42Suche in Google Scholar

17 S. M. Ishtiaque, A. Das, R. Niyogi: Optimization of fiber friction, top arm pressure and roller setting at various drafting stages, Textile Research Journal 76 (2006), No. 12, pp. 913-921 DOI:10.1177/004051750606733110.1177/0040517506067331Suche in Google Scholar

18 N. Gupta, P. Bharti: Implementation of six sigma for minimizing the defects rate at a yarn manufacturing company, International Journal of Engineering Research and Applications 3 (2013), No. 2, pp. 1000-1011Suche in Google Scholar

19 N. Gupta: An application of DMAIC methodology for increasing the yarn quality in textile industry, IOSR Journal of Mechanical and Civil Engineering 6 (2013), No. 1, pp. 50-65 DOI:10.9790/1684-061506510.9790/1684-0615065Suche in Google Scholar

20 M. Amin, M. Amanullah, A. Akbar: Quality variation minimizer: a new approach for quality improvement in textile industry, Pakistan Journal of Scientific & Industrial Research Series A: Physical Sciences 59 (2016), No. 2, pp. 109-11310.52763/PJSIR.PHYS.SCI.59.2.2016.109.113Suche in Google Scholar

21 H. Henny, N. Agnia, H. Hardianto: Analysis quality control of carded and combed yarns using six sigma method, IOP Conference Series: Materials Science and Engineering 662 (2019), No. 6, pp. 1-8 DOI:10.1088/1757-899x/662/6/06200810.1088/1757-899x/662/6/062008Suche in Google Scholar

22 D. C. Montgomery: Design and analysis of experiments, 9th Ed., John Wiley and Sons, New Jersey, USA (2017)Suche in Google Scholar

23 R. J. Del Vecchio: Understanding design of experiments, Hanser, Munich, Germany (2014)10.3139/9783446442474Suche in Google Scholar

24 P. Gorecki, P. R. Pautsch: Lean management, Hanser, Munich, Germany (2018)10.3139/9783446456068Suche in Google Scholar

25 T. T. Burton: Accelerating lean six sigma results: How to achieve improvement excellence in the new economy, J. Ross Publishing, Florida, USA (2011)Suche in Google Scholar

26 M. Hartung: Lean-six sigma: Quality and process management for managers and professionals, BoD-Books on Demand, Hamburg, Germany (2010)Suche in Google Scholar

27 R. Basu: Implementing six sigma and lean, 1st Ed., Elsevier, Oxford, UK (2009)10.4324/9780080949604Suche in Google Scholar

28 M. Deleryd, J. Deltin, B. Klefsjö: Critical factors for successful implementation of process capability studies, Quality Management Journal 6 (1999), No. 1, pp. 40-59 DOI:10.1080/10686967.1999.1191887710.1080/10686967.1999.11918877Suche in Google Scholar

29 V. E. Kane: Process capability indices, Journal of Quality Technology 18 (1986), No. 1, pp. 41-52 DOI:10.1080/00224065.1986.1197898410.1080/00224065.1986.11978984Suche in Google Scholar

30 J. Antony: Design of experiments for engineers and scientists, 2nd Ed., Elsevier, Massachusetts, USA (2014)Suche in Google Scholar

31 MINITAB User’s guide 2: data analysis and quality tools, 1st Ed., Minitab Inc., USA (2000)Suche in Google Scholar

32 G. E. P. Box, J. S. Hunter, W. G. Hunter: Statistics for experimenters, 2nd Ed., John Wiley and Sons, New York, USA (2005)Suche in Google Scholar

33 T. Pyzdek, P. Keller: Six sigma handbook, 4th Ed., McGraw-Hill Education, New York, USA (2014)Suche in Google Scholar

34 I. Bass, B. Lawton: Lean six sigma using Sigma XL and Minitab, McGraw Hill Professional, New York, USA (2009)Suche in Google Scholar
Published Online: 2021-10-21

© 2021 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Contents
  2. Materials testing for joining and additive manufacturing applications
  3. Forming mechanism and mechanical properties of dissimilar friction stir lap welds of 304 austenitic stainless steel to a Ti6Al4V alloy
  4. Microstructure, mechanical and corrosion properties of nickel superalloy weld metal
  5. Mechanical testing/Materialography
  6. Impression creep behavior of Babbitt alloy SnSb8Cu4
  7. Metallurgical investigations
  8. Simulation of boronizing kinetics of AISI 316 steel with an integral diffusion model
  9. Mechanical Testing
  10. Mode-I interlaminar fracture of aramid and carbon fibers reinforced epoxy matrix composites at various SiC particle contents
  11. Corrosion Testing
  12. High temperature corrosion behavior of 430 ferrite stainless steel in a molten sulfur environment
  13. Materials testing for joining and additive manufacturing applications
  14. Heat affected zone and weld metal analysis of HARDOX 450 and ferritic stainless steel double sided TIG-joints
  15. Mechanical testing/numerical simulations
  16. Effect of patch dimension and fiber orientation on non-linear buckling of hybrid composites
  17. Production-oriented testing
  18. Quality optimization and process capability analysis of ring spun Supima cotton yarn
  19. Analysis of physical and chemical properties
  20. Comparison between acidic electroless deposited Cu, Ni coating and a physical vapor deposited (PVD) Al coating on an acrylonitrile– butadiene–styrene (ABS) substrate
  21. Wear testing
  22. Effect of vibratory peening on wear behavior of Al2O3/SiCp reinforced Al2024 aircraft alloy
  23. Mechanical testing/wear testing
  24. Mechanical and Tribological characteristics of AA6082/ZrB2 composites
  25. Analysis of physical and chemical properties
  26. Vibration damping capacity of a rotating shaft heat treated by various procedures
  27. Component-oriented testing and simulation
  28. Long-term ring stiffness of fiberglass-reinforced plastic mortar pipes
https://doi.org/10.1515/mt-2021-0027
Schlagwörter für diesen Artikel
Yarn quality; ring spinning; supima cotton; response optimization; process capability analysis

Artikel in diesem Heft

  1. Contents
  2. Materials testing for joining and additive manufacturing applications
  3. Forming mechanism and mechanical properties of dissimilar friction stir lap welds of 304 austenitic stainless steel to a Ti6Al4V alloy
  4. Microstructure, mechanical and corrosion properties of nickel superalloy weld metal
  5. Mechanical testing/Materialography
  6. Impression creep behavior of Babbitt alloy SnSb8Cu4
  7. Metallurgical investigations
  8. Simulation of boronizing kinetics of AISI 316 steel with an integral diffusion model
  9. Mechanical Testing
  10. Mode-I interlaminar fracture of aramid and carbon fibers reinforced epoxy matrix composites at various SiC particle contents
  11. Corrosion Testing
  12. High temperature corrosion behavior of 430 ferrite stainless steel in a molten sulfur environment
  13. Materials testing for joining and additive manufacturing applications
  14. Heat affected zone and weld metal analysis of HARDOX 450 and ferritic stainless steel double sided TIG-joints
  15. Mechanical testing/numerical simulations
  16. Effect of patch dimension and fiber orientation on non-linear buckling of hybrid composites
  17. Production-oriented testing
  18. Quality optimization and process capability analysis of ring spun Supima cotton yarn
  19. Analysis of physical and chemical properties
  20. Comparison between acidic electroless deposited Cu, Ni coating and a physical vapor deposited (PVD) Al coating on an acrylonitrile– butadiene–styrene (ABS) substrate
  21. Wear testing
  22. Effect of vibratory peening on wear behavior of Al2O3/SiCp reinforced Al2024 aircraft alloy
  23. Mechanical testing/wear testing
  24. Mechanical and Tribological characteristics of AA6082/ZrB2 composites
  25. Analysis of physical and chemical properties
  26. Vibration damping capacity of a rotating shaft heat treated by various procedures
  27. Component-oriented testing and simulation
  28. Long-term ring stiffness of fiberglass-reinforced plastic mortar pipes
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2025 De Gruyter Brill
Heruntergeladen am 27.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/mt-2021-0027/html
Button zum nach oben scrollen