S. M. ADEDAYO, M. A. ONITIRI 677
Figure 6. Average impact energy versus volume content of
iron ore tailings curves for PP-filled with 150 µm, 212 µm
and 300 µm iron ore tailings particle sizes at volume content
0% to 30%.
5. Conclusion
Nielson’s model shows better predictive capability with
the smallest particle size and decreasing volume ratio for
ITR-PP. The predictability of the Nielsen’s model can be
enhanced by addition of binding agents to improve inter-
facial adhesion. The Bigg equation shows improved pre-
dictability with decreasing particle size of filler in PP
while the Einstein equation which assumes poor adhesion
gives the best prediction of modulus of elasticity with
increasing particle size in PP. The least volume content
of iron ore tailings that can be predicted by the Einstein
equation which assumes perfect adhesion is 5%. Izod
impact strength increased with increasing volume of 150
µm iron ore tailings except at 10% volume content of
iron ore tailings.
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