Forming regression-based mathematical models to predict PET POY yarn properties in the case of changing production parameters

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dc.contributor.authorYıldırım, Kenan
dc.contributor.buuauthorUlcay, Yusuf
dc.contributor.buuauthorKopmaz, Osman
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Tekstil Mühendisliği Bölümü.tr_TR
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü.tr_TR
dc.contributor.scopusid6601918936tr_TR
dc.contributor.scopusid6603311475tr_TR
dc.date.accessioned2022-04-22T06:39:12Z
dc.date.available2022-04-22T06:39:12Z
dc.date.issued2010-03
dc.description.abstractThis study comprises investigations of the effect of PET (polyethylene terephthalate) POY (poly oriented yarn) production parameters on the crystallinity degree, which is involved in the structure of the yarn and performing prediction equations based on a non-linear regression mathematical model. Although there are many production parameters which affect the yarn properties, quenching air temperature, quenching air speed and winding speed were selected for the POY process. Yarn samples were produced in three different levels of each of selected parameters and tested to investigate how the crystallinity degree changes. Measured properties of PET POY were tensile strength, tensile strain, draw force, crystallinity degree based on differential scanning calorimetry technique, dye uptake (K/S), brightness and boiling water shrinkage. In order to obtain empirical formulas for predicting the change of POY properties with respect to selected production parameters, the yarns were produced in 27 different combinations. The starting point of the empirical equation is based on a completely randomized variance analyses model. The coefficients of the curves fitted were computed by means of non-linear regression analysis. R(2) values for these curves were observed to be highly reliable being about 0.8.en_US
dc.identifier.citationYıldırım, K. vd. (2010). "Forming regression-based mathematical models to predict PET POY yarn properties in the case of changing production parameters". Textile Research Journal, 80(5), 411-421.en_US
dc.identifier.endpage421tr_TR
dc.identifier.issn0040-5175
dc.identifier.issue5tr_TR
dc.identifier.scopus2-s2.0-77749283265tr_TR
dc.identifier.startpage411tr_TR
dc.identifier.urihttps://doi.org/10.1177/0040517509346437
dc.identifier.urihttps://journals.sagepub.com/doi/abs/10.1177/0040517509346437
dc.identifier.urihttp://hdl.handle.net/11452/25989
dc.identifier.volume80tr_TR
dc.identifier.wos000275348300003tr_TR
dc.indexed.scopusScopusen_US
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherSage Publicationsen_US
dc.relation.collaborationSanayitr_TR
dc.relation.journalTextile Research Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPET yarnen_US
dc.subjectSpinning factorsen_US
dc.subjectPhysical and performance parametersen_US
dc.subjectRegression-based mathematical modelen_US
dc.subjectNeural-networken_US
dc.subjectAreaen_US
dc.subjectMaterials scienceen_US
dc.subjectDifferential scanning calorimetryen_US
dc.subjectForecastingen_US
dc.subjectPolyethylene terephthalatesen_US
dc.subjectQuenchingen_US
dc.subjectRegression analysisen_US
dc.subjectSpinning (fibers)en_US
dc.subjectTensile strainen_US
dc.subjectTensile strengthen_US
dc.subjectThermoplasticsen_US
dc.subjectWindingen_US
dc.subjectWoolen_US
dc.subjectYarnen_US
dc.subjectAir speeden_US
dc.subjectAir temperatureen_US
dc.subjectBoiling water shrinkageen_US
dc.subjectCrystallinity degreeen_US
dc.subjectDye uptakeen_US
dc.subjectEmpirical equationsen_US
dc.subjectEmpirical formulasen_US
dc.subjectMeasured propertiesen_US
dc.subjectNon-linear regressionen_US
dc.subjectNon-linear regression analysisen_US
dc.subjectPerformance parametersen_US
dc.subjectPhysical and performance parametersen_US
dc.subjectPrediction equationsen_US
dc.subjectProduction parametersen_US
dc.subjectRegression-based mathematical modelen_US
dc.subjectVariance analysisen_US
dc.subjectWinding speeden_US
dc.subjectYarn propertyen_US
dc.subjectCrystallinityen_US
dc.subjectMathematical modelen_US
dc.subjectPolyethylene yarnen_US
dc.subjectProductionen_US
dc.subjectQuenchingen_US
dc.subjectShrinkageen_US
dc.subjectSpinningen_US
dc.subjectStrainen_US
dc.subjectTensile propertyen_US
dc.subjectMathematical modelsen_US
dc.subject.scopusWoven Fabrics; Wool; Bedsen_US
dc.subject.wosMaterials science, textilesen_US
dc.titleForming regression-based mathematical models to predict PET POY yarn properties in the case of changing production parametersen_US
dc.typeArticle
dc.wos.quartileQ1en_US

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