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By William Lau (Ed.)

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2, the Normalized E11 varies linearly with the CNT volume fraction vf. 95. This suggests that the effect of the CNT volume fraction on E22 is dependent on the type of polymer matrix. 0 f Figure 2. Normalized Young’s modulus of carbon nanotube (CNT) reinforced ultra-high molecular weight polyethylene (UHMWPE) as function of CNT volume fraction. 0 f Figure 3. Normalized Young’s modulus of carbon nanotube (CNT) reinforced polymer (Epon 862) as function of CNT volume fraction. Conclusions The effective Young’s moduli of the carbon nanotube (CNT) reinforced polymers have beenobtained using the Mori–Tanaka method.

Similarly in Fig. 2, the Normalized E11 varies linearly with the CNT volume fraction vf. 95. This suggests that the effect of the CNT volume fraction on E22 is dependent on the type of polymer matrix. 0 f Figure 2. Normalized Young’s modulus of carbon nanotube (CNT) reinforced ultra-high molecular weight polyethylene (UHMWPE) as function of CNT volume fraction. 0 f Figure 3. Normalized Young’s modulus of carbon nanotube (CNT) reinforced polymer (Epon 862) as function of CNT volume fraction. Conclusions The effective Young’s moduli of the carbon nanotube (CNT) reinforced polymers have beenobtained using the Mori–Tanaka method.

3. Similarly in Fig. 2, the Normalized E11 varies linearly with the CNT volume fraction vf. 95. This suggests that the effect of the CNT volume fraction on E22 is dependent on the type of polymer matrix. 0 f Figure 2. Normalized Young’s modulus of carbon nanotube (CNT) reinforced ultra-high molecular weight polyethylene (UHMWPE) as function of CNT volume fraction. 0 f Figure 3. Normalized Young’s modulus of carbon nanotube (CNT) reinforced polymer (Epon 862) as function of CNT volume fraction. Conclusions The effective Young’s moduli of the carbon nanotube (CNT) reinforced polymers have beenobtained using the Mori–Tanaka method.

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