TY - JOUR
T1 - A statistical analysis of the influence of multi-stage hot-drawing on the overall orientation of biodegradable aliphatic-aromatic co-polyester fibers
AU - Younes, Basel
AU - Fotheringham, Alex
AU - El-Dessouky, Hassan M.
AU - Haddad, Ghassan
PY - 2013/3/28
Y1 - 2013/3/28
N2 - Biodegradable as-spun linear aliphatic-aromatic copolyester (AAC) fibers were processed under a fractional factorial design as a function of hotdrawing conditions using appropriate experimental and statistical methodology. The multi-stage hotdrawing process and overall orientation of the biodegradable AAC fibers were characterized and statistically analyzed. The results obtained showed that the most effective and significant parameters influencing fiber overall orientation are the draw ratio and the drawing temperature. Birefringence is affected positively by draw ratio and plate temperature, and negatively by drawing temperature, the interaction between drawing stage and relaxation temperature, relaxation temperature and the interaction between draw ratio and spin finish. From results and analysis, a combination of factor levels was designed for controlling the birefringence of the material studied using the regression equations obtained. A new forecasting statistical model has been suggested for optimizing the drawing process effect. Such optimized (AAC) fibers could be used in agricultural, horticultural and other textile applications.
AB - Biodegradable as-spun linear aliphatic-aromatic copolyester (AAC) fibers were processed under a fractional factorial design as a function of hotdrawing conditions using appropriate experimental and statistical methodology. The multi-stage hotdrawing process and overall orientation of the biodegradable AAC fibers were characterized and statistically analyzed. The results obtained showed that the most effective and significant parameters influencing fiber overall orientation are the draw ratio and the drawing temperature. Birefringence is affected positively by draw ratio and plate temperature, and negatively by drawing temperature, the interaction between drawing stage and relaxation temperature, relaxation temperature and the interaction between draw ratio and spin finish. From results and analysis, a combination of factor levels was designed for controlling the birefringence of the material studied using the regression equations obtained. A new forecasting statistical model has been suggested for optimizing the drawing process effect. Such optimized (AAC) fibers could be used in agricultural, horticultural and other textile applications.
UR - http://www.scopus.com/inward/record.url?scp=84875299140&partnerID=8YFLogxK
U2 - 10.1177/155892501300800102
DO - 10.1177/155892501300800102
M3 - Article
AN - SCOPUS:84875299140
VL - 8
SP - 6
EP - 16
JO - Journal of Engineered Fibers and Fabrics
JF - Journal of Engineered Fibers and Fabrics
SN - 1558-9250
IS - 1
ER -