dc.contributor.author | Khairil Amirul, Harun | |
dc.contributor | School of Materials Engineering | en_US |
dc.date | 2023-12 | |
dc.date.accessioned | 2025-05-20T05:32:07Z | |
dc.date.available | 2025-05-20T05:32:07Z | |
dc.date.issued | 2017-04 | |
dc.identifier.uri | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/83987 | |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | This project consist of synthesising and characterising BaTiO₃, Ba₀.₆Sr₀.₄TiO₃, and SrTiO₃ as ferroelectric material for tuneable microwave application. ZnO were also prepared and characterised as a comparison to the ferroelectric material. The composition were synthesised at 1400⁰C by using solid state reaction method. The prepared powder were confirmed to have single face by analysing the X-ray Diffraction (XRD) pattern. The prepared powder then characterised by using X-ray Diffraction (XRD) and impedance spectroscope. Structural analysis were performed by using GSAS/EXPGUI software. Lattice parameter a, c and volume unit cell obtained shows that BaTiO₃ have the highest value among the three, followed by Ba₀.₆Sr₀.₄TiO₃ and SrTiO₃. BaTiO₃ have tetragonal crystal structure symmetry, but by adding strontium (Sr) to make Ba₀.₆Sr₀.₄TiO₃, it goes structural changes from tetragonal (P m 4 m) to cubic (P m-3 m). SrTiO₃ also shows cubic crystal structure symmetry while ZnO
shows hexagonal structure (P 63 m c). By comparing the impedance spectroscope result at room temperature, Ba₀.₆Sr₀.₄TiO₃ shows more stable graph of capacitance and permittivity compared to BaTiO₃ and SrTiO₃. Ba₀.₆Sr₀.₄TiO₃ shows higher capacitance, permittivity and conductivity value. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis (UniMAP) | en_US |
dc.subject.other | Material engineering | en_US |
dc.subject.other | Barium Strontium Titanate | en_US |
dc.subject.other | BaTiO₃ | en_US |
dc.subject.other | Ferroelectric material | en_US |
dc.title | Ferroelectric material for tuneable microwave application | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Mohd Sobri Idris, Dr. | |