Theoretical Predictions on Mechanical Properties of Functionally Graded Epoxy/Clay Nanocomposites

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 335

فایل این مقاله در 7 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_ADMTL-13-1_003

تاریخ نمایه سازی: 27 فروردین 1399

چکیده مقاله:

In this paper, the theoretical predictions of mechanical properties of functionally graded and uniform distributions Epoxy/clay nanocomposites are presented. The specimens were prepared for uniformly distribution of nanoclay with different nano particles weight percent (pure, 3 wt%, 5 wt% and 7 wt%) and functionally graded distribution. The distribution of nanoparticles has been investigated by Field Emission Scanning Electron Microscopy (FESEM). For uniformly distribution of nanoclay, it is shown that there is no sign of the agglomerates found via FESEM imaging which can address well the distribution of nanoclay particles in epoxy. In addition, for functionally graded distributions, it is found that dispersion of nanoclays vary smoothly and continuously from one surface to the other one. The mechanical properties have been determined by simple extension tests. The results of extension tests show that elastic modulus begins to increase up to 5 wt% of nanoclay and then decreases. So, for functionally graded distribution, the elastic modulus is generally larger than the corresponding values for uniform distribution of nanoclay. The theoretical predictions of Young’s modulus for functionally graded and uniform distributions nanocomposites are calculated using a genetic algorithm procedure. The formulation for Young modulus includes the effect of nanoparticles weight fractions and it is modified for functionally graded distribution. To investigate the accuracy of the present theoretical predictions, a comparison is carried out with the experimental results. It is found that the results obtained from the theoretical predictions of genetic algorithm procedure are in good agreement with the experimental ones.

نویسندگان

Mahdi Karami Khorramabadi

Department of Mechanical Engineering, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • Kojima, Y., Usuki, A., Kawasumi, M., Okada, A., Kurauchi, T., ...
  • Miyagawa, H., Drzal, L. T., Thermo-Physical and Impact Properties of ...
  • Mahajan, D., Desai, A., Rafailovich, M., Cui, M. H., and ...
  • Gojny, F. H., Wichmann, M. H. G, Kopke, U., Fiedler, ...
  • Lau, K. T., Lu, M., Li, H. L., Zhou, L. ...
  • Park, J. H., Jana, S. C., The Relationship Between Nano- ...
  • Ray, S. S., Okamoto, M., Polymer/Layered Silicate Nano -composites: A ...
  • Zhou, Y., Pervin, F., Biswas, M. A., Rangari, V. K., ...
  • Lau, K. T., Lu, M., and Hui, D., Coiled Carbon ...
  • Mortazavi, B., Bardon, J., Bomfim J. S. B., and Ahzi, ...
  • Wang, Z., Liu, F., Liang, W., and Zhou, L., Nanoscale ...
  • Wang, J., Liang, G., and Zhu, B., Modification of Cyanate ...
  • Meybodi, M. H., Saber Samandari, S., and Sadighi, M., A ...
  • Meybodi, M. H., Saber Samandari, S., Sadighi, M., and Bagheri, ...
  • Ayatollahi, M. R., Barbaz Isfahani, R., and Moghimi Monfared, R., ...
  • Goodarz, M., Bahrami, H., Sadighi, M., and Saber-Samandari, S., Quasi-Static ...
  • Monfared, R. M., Ayatollahi, M. R., and Isfahani, R. B., ...
  • Maghsoudlou, M. A., Isfahani, R. B., Saber Samandari, S., and ...
  • Holland, J. H., Adaptation in Natural and Artificial Systems, University ...
  • Yaghoobi, H., Fereidoon, A., Influence of Neutral Surface Position on ...
  • نمایش کامل مراجع