Now showing items 1-4 of 4

    • Artificial neural network for the classification of steel hollow pipe 

      Nur Farahiyah, Mohamad; Hafizawati, Zakaria; Rakhmad Arief, Siregar; Hariharan, M.; Fauziah, Mat (Universiti Malaysia Perlis, 2009-10-11)
      Within industry, piping is a very important system that used to convey fluid (liquid and gases) from one location to another. Steel pipe is one of the commonly type of pipe that has been used since before. Crack on pipe ...
    • The classification of material mechanical properties using non-destructive vibration technique 

      Intan Maisarah, Abd Rahim; Fauziah, Mat; Sazali, Yaacob, Prof. Dr.; Rakhmad, Arief Siregar (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      This study is to develop a system of a non-destructive testing on the material to define the mechanical properties of material. The study focused on experimental and testing of the material mechanical properties using ...
    • Classifying material type and mechanical properties using artificial neural network 

      Intan Maisarah, Abd Rahim; Fauziah, Mat; Sazali, Yaacob, Prof. Dr.; Rakhmad Arief, Siregar (Institute of Electrical and Electronics Engineers (IEEE), 2011-03-04)
      This paper focused on experimental data and study for the testing of the material mechanical properties using vibration technique. By applying vibration analysis and testing on the material, we could determine the natural ...
    • Geometrical effect on the behavior of circular and elliptic tubes under dynamic axial loading 

      Fauziah, Mat; Rakhmad Arief, Siregar, Dr.; Khairul Azwan, Ismail, Dr.; Sazali, Yaacob, Prof. Dr.; Othman, Inayatullah, Capt (Rtd) Dr. (Universiti Malaysia Perlis (UniMAP)Pusat Pengajian Kejuruteraan Mekatronik, 2012-02-27)
      A numerical investigation of circular and elliptic tubes is performed under dynamic axial loading using non- linear finite element code LS DYNA. The material of the tubes is treated as piecewise linear ...