Melt spinning of high-strength fiber from low-molecular-weight polypropylene

التفاصيل البيبلوغرافية
العنوان: Melt spinning of high-strength fiber from low-molecular-weight polypropylene
المؤلفون: An-Ting Chien, Qianchao Mao, Jinnan Chen, Donggang Yao, Tom Wyatt
المصدر: Polymer Engineering & Science. 56:233-239
بيانات النشر: Wiley, 2015.
سنة النشر: 2015
مصطلحات موضوعية: Polypropylene, Jet (fluid), Materials science, Polymers and Plastics, 020502 materials, Modulus, 02 engineering and technology, General Chemistry, Crystal structure, 021001 nanoscience & nanotechnology, chemistry.chemical_compound, 0205 materials engineering, chemistry, Ultimate tensile strength, Materials Chemistry, Fiber, Composite material, Melt spinning, 0210 nano-technology, Melt flow index
الوصف: Polypropylene (PP) with high melt flow index (MFI) or low molecular weight, although desired in melt spinning for enhanced productivity, is difficult to be spun into high-strength fiber using the standard process where extensive jet stretching is applied. In this work, a processing route involving minimal jet stretch has been explored. A two-stage hot drawing procedure in the solid state was found to be suitable for producing high-strength fiber from low-molecular-weight PP with an ultrahigh MFI of 115 g/10 min. Fibers produced achieve a maximum tensile strength and Young's modulus of approximately 600 MPa and 12 GPa, respectively. The melt temperature of the fiber reached 170.8°C, approximately 5°C higher than that of the original resin. Wide-angle X-ray diffraction (WAXD) study shows that the stable α-monoclinic crystalline structure is developed during the drawing process. A well-oriented crystalline structure along the fiber axis is generated, having a crystalline orientation factor as high as 0.84. POLYM. ENG. SCI., 2015. © 2015 Society of Plastics Engineers
تدمد: 0032-3888
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9b5083a71300740af5a44f942e0e9f2c
https://doi.org/10.1002/pen.24251
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........9b5083a71300740af5a44f942e0e9f2c
قاعدة البيانات: OpenAIRE