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Gelayol Golkarnarenji,MINOO NAEBE,Jeffrey S. Church,Khashayar Badii,Alireza Bab-Hadiashar,Stephen Atkiss,Hamid Khayyam 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.49 No.-
Studying the presence and progress offiber defects, such as skin-core structure, is an important tool foranalysis of a chemical process. In this article, the skin core morphology has been analyzed by opticalmicroscopic (OM) images and Fourier transform infrared attenuated total reflectance mapping (FTIR-ATRmapping). The results of FTIR-ATR mapping showed that thefiber is almost uniform in the core area whileOM images are accurate enough to be used for skin-core analysis. Using OM images, the core ratio ofsamples were measured to quantify the skin-core structure. Non-parametric kernel density estimationmethods have then been compared with conventional parametric distribution models using these data. The results reveal that the parametric methods cannot adequately describe the skin-core phenomenonand that the non-parametric distributions are more appropriate for the quantification of skin-coremorphology. By applying the non-parametric distributions, a model has been developed, which describesthe relationship between the skin-core defect and the operation parameters of thefiber production. Thisapproach can be used to predict the probability of skin-core occurrence and can be used to decrease thepresence of this phenomenon in the carbonfibers production industry. Our results show thattemperature is one of the most significant operational parameter at a typical oxygen concentration (in airat atmospheric pressure) governing the skin-core formation.
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