Comparative Analysis of the Performances of Six Taguchi-Based Multi-Response Optimisation Techniques for Product Development in Textiles

• Autorzy: Ahmad Naseer , Kamal Shahid , Raza Zulfiqar Ali , Zeshan Muhammad , Abid Sharjeel , Javed Zafar , Karahan Mehmet

Identyfikatory

DOI

10.5604/01.3001.0014.9312

Warianty tytułu

PL

Charakterystyka preparatów kolagenowych pochodzących z odpadów skórzanych metodą wysokosprawnej chromatografii cieczowej

• Języki publikacji: EN

Abstrakty

EN

Researchers are using different statistical techniques for process optimisation and product development both in academia and industries. Similarly, several statistical tools are being employed in the textile industry for process optimisation during the manufacturing of different products. The purpose of this study was to analyse different Taguchi-based techniques in the multi-response optimisation of selected industrial processes and then to generalise the outcomes. Herein, six different Taguchi-based multi-response optimisation techniques, including grey relational analysis (GRA), the weighted signal-to-noise (WSN) ratio, principal component analysis, VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje), the multiple response signal-to-noise ratio, and Fuzzy logic were compared against three data sets of industrial processes. The researchers herein optimised cotton dyeing, the finishing of textile to make them oleo-hydrophobic, and the production of rhamnolipids (bio-surfactants). The results demonstrated that the Fuzzy logic-based Taguchi method gave the best optimisation amongst all the other approaches, followed by GRA and WSN for all the selected processes. The said statistical techniques were applied to specific textile and biotechnological processes. The outcomes of this study can help researchers in practical implementation in industrial sectors. In this study, a comparative analysis of the performances of six Taguchi-based multi-response optimisation techniques was conducted for potential industrial processes, particularly textile processing.

PL

Niegarbowane odpady skórzane pochodzące z przemysłu garbarskiego są potencjalnym zagrożeniem dla środowiska naturalnego. Z drugiej jednak strony tego rodzaju odpady zawierają znaczące ilości cennego białka – kolagenu. Białko kolagenowe jest biopolimerem, który z uwagi na swoje właściwości znajduje zastosowanie w przemyśle spożywczym, kosmetycznym oraz w przemyśle biomedycznym. Obecnie na rynku dostępne są preparaty kolagenowe pozyskane z odpadów pochodzenia zwierzęcego. W pracy przedstawiono procedurę oznaczania aminokwasów w wybranych preparatach kolagenowych metodą wysokosprawnej chromatografii cieczowej i metodą spektrofotometryczną. We wszystkich próbkach oznaczono wysokie stężenia glicyny, alaniny, proliny i hydroksyproliny, a niewielkie ilości tyrozyny, seryny, waliny i izoleucyny. Zastosowana metoda chromatograficzna umożliwia szybkie i równoczesne oznaczenie 17 aminokwasów w badanych próbach. Opracowane w ramach pracy metody analityczne mogą być wykorzystane m.in. do szybkiej kontroli składu aminokwasowego kolagenu.

Słowa kluczowe

EN

fuzzy logic; grey relational analysis; optimisation; Taguchi method; textile

PL

logika rozmyta; szara analiza relacyjna; optymalizacja; metoda Taguchi; tekstylia

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2021
• Tom: Vol. 29, no. 5 (149)
• Strony: 100--108
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Ahmad Naseer

• University of the Punjab, College of Statistical and Actuarial Sciences, Lahore, Pakistan
• National Textile University, Department of Applied Sciences, Faisalabad-37610, Pakistan

autor

Kamal Shahid

• University of the Punjab, College of Statistical and Actuarial Sciences, Lahore, Pakistan

autor

Raza Zulfiqar Ali

• National Textile University, Department of Applied Sciences, Faisalabad-37610, Pakistan

autor

Zeshan Muhammad

• National Textile University, Department of Applied Sciences, Faisalabad-37610, Pakistan

autor

Abid Sharjeel

• National Textile University, School of Engineering and Technology, Department of Textile Engineering, Faisalabad-37610, Pakistan

autor

Javed Zafar

• National Textile University, School of Arts & Design, Faisalabad, Pakistan

autor

Karahan Mehmet

• Bursa Uludağ University, Vocational School of Technical Sciences, Görükle-Bursa, Turkey

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