1987 Fiscal Year Final Research Report Summary
Measuring system for mechanical properties of trouble-handring agricultural materials
| Project/Area Number |
61560284
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
農業機械
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| Research Institution | Ishikawa Agricultural College |
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Principal Investigator |
MURASE Haruhiko Asist.Prof.,Agri.Eng.Dept.,Ishikawa Agri.College, 農業工学科, 助教授 (20137243)
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| Co-Investigator(Kenkyū-buntansha) |
OKE Satoshi Asistant,Agri.Eng.Dept.,Ishikawa Agri.College, 農業工学科, 助手 (80177203)
SHIBUSAWA Sakae Asistant,Agri.Eng.Dept.,Hokkaido University, 農学部・農業工学科, 助手 (50149465)
NAKAMURA Yoshiaki Professor,Agri.Eng.Dept.,Ishikawa Agri.College, 農業工学科, 教授 (50070842)
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| Project Period (FY) |
1986 – 1987
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| Keywords | Finite element / inverse analysis / Plant materials / Physical properties / agricultural products / Young's modulus / Poisson'ratio / compression test / optical measurements |
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| Research Abstract |
The objective of this research project is to study basics of a sevelopment of total measuring system for determining the physical properties(Young's modulus,poison'sratio,water potential effective coefficients edt.) of plant materials whose handling is throublesome in the material tests due to their size,shape,inhomogeneity. The basic studies of this project dealt with a numerical data process system based on the finite element inverse analysis and a deformation measuring system using image processing technique.
The followings are reading findings and developments in this project.
1.A Finite element inverse analysis is implemented on a microcomputer.The FEM inverse program can handle 2 dimentional axisymmetric elasticity problems.
2.Tow different parameter estimation techniques were investigated in process of the development of FEM inverse code.
1)Least square estimation 2)Kalman filter estimation
3.Convergence of Kalman filter technique is much better than the least square technique.
4.Two different techniques were tested to determine the deformation of test piece under compression.
1)Infra red displacement sensing device 2)image processing device
5.The infra red sensing device was useful and effective only when hadling relatively larger test piece
6.The method using image processing device was more flexible to handling samples in many different sizes. yield based on land productivity.
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