• Title/Summary/Keyword: Agricultural Machine

Search Result 661, Processing Time 0.029 seconds

Advanced Engineering in Processing of Leafstalk Biomass of Sown Grasses

  • Proydak, N.I.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
    • /
    • 1996.06c
    • /
    • pp.711-714
    • /
    • 1996
  • The energy saving base technological processes were substantiated and high efficient equipment for the wet fractionation of the leafstalk biomass of the annual and perennial sown grasses into the multipurpose products was designed.

  • PDF

Measurement of Fiber Board Poisson's Ratio using High-Speed Digital Camera

  • Choi, Seung-Ryul;Choi, Dong-Soo;Oh, Sung-Sik;Park, Suk-Ho;Kim, Jin-Se;Chun, Ho-Hyun
    • Journal of Biosystems Engineering
    • /
    • v.39 no.4
    • /
    • pp.324-329
    • /
    • 2014
  • Purpose: The finite element method (FEM) is advantageous because it can save time and cost by reducing the number of samples and experiments in the effort to identify design factors. In computational problem-solving it is necessary that the exact material properties are input for achieving a reliable analysis. However, in the case of fiber boards, it is difficult to measure their cross-directional material properties because of their small thickness. In previous research studies, the Poisson's ratio was measured by analyzing ultrasonic wave velocities. Recently, the Poisson's ratio was measured using a high-speed digital camera. In this study, we measured the transverse strain of a fiber board and calculated its Poisson's ratio using a high-speed digital camera in order to apply these estimates to a FEM analysis of a fiber board, a corrugated board, and a corrugated box. Methods: Three different fiber board samples were used in a uniaxial tensile test. The longitudinal strain was measured using the Universal Testing Machine. The transverse strain was measured using an image processing method. To calculate the transverse strain, we acquired images of the fiber board before the test onset and before the fracture occurred. Acquired images were processed using the image processing program MATLAB. After the images were converted from color to binary, we calculated the width of the fiber board. Results: The calculated Poisson's ratio ranged between 0.2968-0.4425 (Machine direction, MD) and 0.1619-0.1751 (Cross machine direction, CD). Conclusions: This study demonstrates that measurement of the transverse properties of a fiber board is possible using image processing methods. Correspondingly, these processing methods could be used to measure material properties that are difficult to measure using conventional measuring methodologies that employ strain gauge extensometers.