Formation of Oxide Nanotubes and Bamboo-Like Structures via Oxidation of Cu, Fe and Ni Nanowires

Gen Matsubayashi; Ryusuke Nakamura; Hiroaki Tsuchiya; Shinji Fujimoto; Hideo Nakajima

doi:10.4028/www.scientific.net/MSF.658.232

Paper Titles

Effect of Addition of NiO Powder on Pore Formation in Lotus-Type Porous Carbon Steel Fabricated by Continuous Casting
p.215

Effect of Pore Diameter Distribution on Heat Transfer Capacity of Lotus-Type Porous Copper Heat Sink for Air Cooling
p.220

Evaluating Durability and Burying Characteristic of PVC Pipe
p.224

Hot Corrosion of NiCrAlY/(ZrO₂-CeO₂-Y₂O₃) Composite Coatings in NaCl-Na₂SO₄ Molten Salt
p.228

Formation of Oxide Nanotubes and Bamboo-Like Structures via Oxidation of Cu, Fe and Ni Nanowires
p.232

Study on Bonding Performances of Air Plasma Treated FRP
p.236

Fabrication of Lotus-Type Porous Iron by Thermal Decomposition Method
p.240

EPP (Expanded Polypropylene) Media for Treating Trace Metals from Road Runoff: Performance Risk Assessment Using Uncertainty Analysis
p.244

Experiment on Combustion-Supporting Agent on PCI for Combustibility of Coal Powder
p.248

HomeMaterials Science ForumMaterials Science Forum Vol. 658Formation of Oxide Nanotubes and Bamboo-Like...

Formation of Oxide Nanotubes and Bamboo-Like Structures via Oxidation of Cu, Fe and Ni Nanowires

Abstract:

The formation process of oxide nanotube via metal oxidation reaction was studied by transmission electron microscopy for Cu, Fe, and Ni nanowires. Cu2O and Fe3O4 nanotubes were formed after the oxidation of Cu and Fe nanowires with a diameter of 55 nm in air at 423 and 573 K for 3.6 ks, respectively. Both Cu2O and Fe3O4 nanotubes had a cylindrical interior pore with uniform diameter. On the other hand, Ni nanowires became bamboo-like structures of NiO with separate interior pores after oxidation at 673 K for 7.2 ks. The formation of the interior pores in Cu2O and Fe3O4 nanotubes and NiO bamboo-like structures can be explained by the rapid outward diffusion of metal ions through the oxide layers and the clustering of excess vacancies.