Optimization of Mechanical and Thermal Properties of iPP and LMPP Blend Fibres by Surface Response Methodology

Sohail Yasin, Danmei Sun, Hafeezullah Memon, Feichao Zhu, Jian Han, Bin Yu, Mingbo Ma, Munir Hussain

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
68 Downloads (Pure)


Optimization of the mechanical and thermal properties of isotactic polypropylene (iPP) homopolymer blended with relatively new low molecular low modulus polypropylene (LMPP) at different blend ratios was carried out via surface response methodology (RSM). Regression equations for the prediction of optimal conditions were achieved considering eight individual parameters: naming, elongation at break, tensile strength and elastic modulus, crystallization temperature (TC), first melting temperatures (TM1), heat fusion (Hf), crystallinity, and melt flow rate (MFR), which were measured as responses for the design of experiment (DOE). The adjusted and predicted correlation coefficient (R2) shows good agreement between the actual and the predicted values. To confirm the optimal values from the response model, supplementary experiments as a performance evaluation were conducted, posing better operational conditions. It has been confirmed that the RSM model was adequate to reflect the predicted optimization. The results suggest that the addition of LMPP into iPP could effectively enhance the functionality and processability of blend fibres if correctly proportioned.
Original languageEnglish
Article number1135
Issue number10
Publication statusPublished - 12 Oct 2018


  • polypropylene
  • low molecular low modulus polypropylene
  • optimization
  • RSM


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