The objective of the second part of the study is to investigate the retained spliced diameter with regard to splicing parameters and fiber and yarn properties. In order to analyze the effects of the fiber and yarn properties on the retained spliced diameter of ring spun cotton yarns, the yarns were produced from eight different cotton types in three yarn counts (29.5, 19.7 and 14.8 tex) and three different twist coefficients (αtex 3653, α tex 4038, αtex 4423). To investigate the effects of splicing parameters on the retained spliced diameter, opening air pressure, splicing air pressure and splicing air time were set according to an orthogonal experimental design. The retained spliced diameter was calculated and predicted by using an artificial neural network (ANN) and response surface methods. Analyses showed that ANN models are more powerful compared with response surface models in predicting the retained spliced diameter of ring spun cotton yarns.

In textile companies, the detection of defects and unacceptable areas of fabrics at the quality control stage has great importance for apparel production, although it is also a post-manufacturing operation for weaving and knitting mills, today it is still mostly being carried out on the guidance of human perception and sensory abilities. Such quality control operations are based on the attendant employee's detection of the defects and the unacceptable areas by visual inspection and scanning the overall fabric structure which is being transported on a brightly illuminated straight plane. The detected defects during the scanning operation are recorded on the defect charts and these outcomes subsequently are subjected to the quality control supervisor's evaluation and thereafter, it is decided whether the related inspection reports would exemplify an appropriate fabric to be used in production or not. In this study, it is aimed to develop a new system which enables to integrate the empirical paperwork-based reports that are still being commonly utilized by the majority of the textile companies in to the contemporary technology and also allows to compare such reports with the previous ones when it is necessary. The proposed system development consists of a fabric inspection machine which is equipped with a PLC-controlled digital display or in other words an intelligent control, and a web based software that enables the controller to analyze the reports comprehensively and simultaneously those of produced by this system, The system, which renders paperwork reports obsolete, allows the reports to be viewed on computer screens as soon as the inspection was completed. This feature ensures that all of the fabric rolls within the same order, multiple batches or bundles to be displayed on a single screen. Thus, it permits to determine the usability of the fabric for the production via employing the four-points system which is one of the prevailing methods for quality control procedures in the industry. Consequently, it is aimed to achieve significant time and labor savings in textile companies via utilizing this new developed system.

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Tekstil alanında, kaliteli bir ürün hazırlanabilmesi için, öncelikle üretilen kumaşın kaliteli ve hatasız olması gerekmektedir. Dokuma ve Örme makinelerinde günümüz teknolojilerindeki iyileşme ve gelişmeler, kumaşın oluşum aşamalarından sonra kalite kontrol aşamasında "Kumaş Kontrol Makineleri" ile analiz edilerek son işlem basamağına gelmektedir. Kumaşın kalitesine ilişkin raporlar, kumaşın ışıklı bir tabla üzerinden geçerken, kontrol eden kullanıcının hataları göz ile tespit etmesi ve bunları kalite kontrol raporlarına kağıt-kalem yardımı ile işlenmesi esasına göre yapılmaktayken, kağıt-kalem kullanımını ortadan kaldırarak, hataların makine üzerinden girilmesini/işaretlenmesini ve bu sayede vakit kazanılmasını sağlamak amaçlanmıştır. Ayrıca raporlama ve raporların incelenmesi de online olarak yapılabilmektedir. Bu çalışma kapsamında, kumaş kontrol makinesinde yapılan hata seçim işlemlerinin tamamen yeni bir platform üzerinden tasarlanması ve oluşan raporların daha anlaşılır, daha kullanışlı ve hataların grafiksel olarak kullanıcılara gösterilmesini sağlamayı hedeflemiştir. Çalışma kapsamında 2 farklı işlem uygulanmıştır. İlk olarak, eski dijital panellerden alınan raporların daha kullanışlı hale getirilmesi sağlanmıştır. İkinci aşamada, giriş panellerinin özel bir tablet ihtiyacını ortadan kaldırmak amacıyla tercihan dokunmatik ekranlı standart bir Windows işletim sistemli PC ile değiştirilmiştir, PLC bağlantısı sayesinde kumaş kontrol makinesi ile direkt olarak haberleşmesi ve hata bilgilerinin anlık olarak alınarak, kalite kontrol biriminin web tabanlı başka bir yazılım üzerinden işlemi takip edebilmesi sağlanmıştır.