Predicting the hardness of carbon nanotube reinforced copper matrix nanocomposites using two adaptive fuzzy inference system identifiers

Abstract

The paper deals with devising two different fuzzy inference systems to predict the hardness of copper/carbon nanotube nanocomposite. These composites are outstanding candidates for thermal management applications in electronic packaging due to the high conductivity of copper. Knowing the extraordinary properties of carbon nanotubes, it seems that copper-based composites reinforced with small amount of carbon nanotubes, resulted in improved mechanical properties. Hence, carbon nanotube reinforced copper matrix nanocomposites are fabricated by hot-press sintering of high energy ball milled copper/carbon nanotube powders. Different milling factors are investigated. Finally the Vickers hardness of sintered nanocomposites is reported. To simulate a predictive framework for current case study, two different machine learning algorithms are engaged. The first learning algorithm is the classic least square optimization method, which provides the requirements for fast adaption of the consequent parts of fuzzy inference system. The second method learning algorithm uses the rudiments of neural computing through layering the fuzzy inference system and using back-propagation optimization algorithm. Based on the experiments, the authors realize that the adopted fuzzy systems can effectively extract the knowledge required for predicting the hardness of copper/carbon nanotube nanocomposite.

Role of process parameters in defining the characteristics of copper surface composites fabricated via friction stir processing

“…These properties have also paved way to the development of copper based composites with enhanced hardness and wear resistance properties [1][2][3][4]. Dispersion of hard ceramic particle into copper metal enhances hardness and wear resistance of developed material but non-deformable and hard characteristics of ceramic material would deplete the toughness and ductility of fabricated material [5,6]. This paved way to the development of copper surface composites wherein hard ceramic particles are dispersed onto copper surface through surface modification techniques, such that a modified composite layer for certain thickness will be developed while properties beneath composite layer remain unchanged.…”

Synergistic effect of carbon nanotubes and copper particles in an epoxy-based nanocomposite using electroless copper deposited carbon nanotubes: Part I – Mechanical properties

“…There are numerous literatures which have scrutinized different effects of CNT addition on the properties of polymeric and metallic matrices. [6][7][8][9][10][11][12] The dispersion state of CNTs and CNT-matrix interfacial bonding are more serious challenges in the manufacturing process of CNT-matrix nanocomposites. 7,13 In the case of the interaction of constituent materials, functionalization and metallization of pristine CNTs are of high importance.…”