scholarly journals Measurement of mechanical properties of BaTiO3 layer in multi-layered ceramic capacitor using a microcantilever beam specimen

2019 ◽  
Vol 127 (6) ◽  
pp. 335-338 ◽  
Author(s):  
Hiroshi YAMAGUCHI ◽  
Junichi TATAMI ◽  
Motoyuki IIJIMA
2021 ◽  
pp. 095745652110004
Author(s):  
Amit Kumar Gorai ◽  
Tarapada Roy ◽  
Sumeet Mishra

The mechanical properties of a component change with any type of damage such as crack development, generation of holes, bend, excessive wear, and tear. The change in mechanical properties causes the material to behave differently in terms of noise and vibration under different loading conditions. Thus, the present study aims to develop an artificial neural network model using vibration signal data for early fault detection in a cantilever beam. The discrete wavelet transform coefficients of de-noised vibration signals were used for model development. The vibration signal was recorded using the OROS OR35 module for different fault conditions (no fault, notch fault, and hole fault) of a cantilever beam. A feed-forward network was trained using backpropagation to map the input features to output. A total of 603 training datasets (201 datasets for three types of cantilever beam—no fault, notch fault, and hole fault) were used for training, and 201 datasets were used for testing of the model. The testing dataset was recorded for a hole fault cantilever beam specimen. The results indicated that the proposed model predicted the test samples with 78.6% accuracy. To increase the accuracy of prediction, more data need to be used in the model training.


2009 ◽  
Vol 46 (2) ◽  
pp. 86-89 ◽  
Author(s):  
Hidetoshi Miyazaki ◽  
Yusuke Hoshi ◽  
Yoshiya Tanimura ◽  
Tetsuya Kunieda ◽  
Naonori Sakamoto ◽  
...  

Author(s):  
Kazuyoshi Izawa ◽  
Takao Sada ◽  
Masashi Utsunomiya ◽  
Shingo Inayama ◽  
Nobuyoshi Fujikawa ◽  
...  

2018 ◽  
Vol 8 (8) ◽  
pp. 1359 ◽  
Author(s):  
Qingqing Wu ◽  
Minqing Wang

A modified estimation method for the dynamic mechanical properties of viscoelastic materials via asymmetrical sandwich specimens is presented. In contrast to the traditional vibrating cantilever beam test method (VCBTM), the proposed method allows asymmetrical base beams in sandwich specimens. Based on the complex stiffness method, complex parameters are introduced for general sandwich configurations. Calculation formulas for loss factor and shear modulus of the core material are presented. The effectiveness of this approach is validated numerically and experimentally by analysis of one symmetrical sandwich beam specimen and two specimens with asymmetrical thicknesses and materials. It is shown that dynamic mechanical parameters of the core material can be obtained regardless of sandwiches’ symmetry. The proposed method breaks the symmetrical criteria for sandwich specimens and may provide a wider application to measure viscoelastic materials’ dynamic properties.


2018 ◽  
Vol 24 (1) ◽  
pp. 71
Author(s):  
Widodo Kushartomo ◽  
Dewi Permata Sari

This study is describe about the mechanical properties of normal concrete by adding of marble flour based on the mixed plan made. The compressive strength of the planned test object fc '20.0 and fc' 30.0 MPa was prepared by using the ACI method. The addition of marble flour in a concrete mixture varies from 0%, 5%, 10%, 15%, 20% and 25% to the weight of the cement used. Concrete test specimens were made in the form of cylinders 15.0 cm in diameter, 30.0 cm in height and made in the form of concrete beams measuring 15.0 cm x 15.0 cm x 75.0 cm, the type of mechanical testing performed in the form of compressive strength tests on cylindrical specimen, split tensile strength test on cylindrical specimen and flexure test on beam specimen. Curing is done by immersion technique at 25ºC and the test is done when the concrete is 28 days old. The test results show that the addition of marble flour to the normal concrete mixture can increase its mechanical properties by 26% for compressive strength, 24% for split tensile strength, and 17% for flexural strength. 


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