Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Adeyemo Raphael Gboyega"

Now showing 1 - 3 of 3
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    DEVELOPMENT AND CHARACTERIZATION OF DATE SEED NANOPARTICLES REINFORCED POLYLACTIC ACID (PLA) NANOCOMPOSITES
    (2023) Bello Sefiu Adekunle; Audu Kemi; Kolawole Funsho Olaitan; Adeyemo Raphael Gboyega; Adeyi Timothy Adewale; Olukunle Boluwatife M.
  • Loading...
    Thumbnail Image
    Item
    Flexural Performances of Epoxy Aluminium Particulate
    (2018) Bello Sefiu Adekunle; Agunsoye Johnson Olumuyiwa; Adebisi Jeleel Adekunle; Raji Nasirudeen Kolawole; Adeyemo Raphael Gboyega; Alabi Abdul Ganiyu Funsho; Hassan Suleiman Bolaji
    Polymers are characterised with lightness, ease of formability and resistance to chemical attack but their modulus and strength are low. Epoxy was reinforced with aluminium particles of different sizes. Bond, functional group and chemical formulae of the composite phases were examined using Fourier Transform Infrared Spectroscopy (FTIR) and X-ray diffractometer. The flexural test was also conducted on the developed composites via three-point method. Analysis of variance (ANOVA) was performed using aluminium percentage by weight (wt%) and sizes (Ps) as the predictor variables. Results indicated different chemical formulae of the composite phases. A maximum of 124.44 % increase in flexural modulus was found at 12 wt% reinforcement addition. Probability value, 0.000 for each of wt% and Ps affirm evenly significant influence of both variables on flexural modulus of the composites. Hence, the developed multiple regression model can be used for predicting the flexural modulus of epoxy particulate composites within and outside the scope of experiment.
  • Loading...
    Thumbnail Image
    Item
    Optimization of tensile properties of epoxy aluminum particulate composites using regression models
    (Elsevier/Scientific Scholar LLC, 2020) Bello Sefiu Adekunle; Agunsoye Johnson Olumuyiwa; Adebisi Jeleel Adekunle; Adeyemo Raphael Gboyega; Hassan Suleiman Bolaji

KWASU Library Services © 2023, All Right Reserved

  • Cookie settings
  • Send Feedback
  • with ❤ from dspace.ng