A Review of Tomography System

Jamaludin, Juliza; Zawahir, Mohd Zikrillah; Rahim, Ruzairi Abdul; Yunus, Fazlul Rahman Mohd; Ayob, Nor Muzakkir Nor; Muhammad, Suzzana Ridzuan Aw; Fadzil, Naizatul Shima Mohd; Zakaria, Zulkarnay; Rahiman, Mohd Hafiz Fazalul

doi:10.11113/jt.v64.2131

Cited by 8 publications

(6 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Panel with highest density (750kg/m3) leads to better performance in both MOE and MOR strength (Table 1). This result is in agreement with other researchers [4,6]. Statistical (Table 2) and correlation (Table 3) analysis presented that there is high significance difference between MOE and MOR value with density level.…”

Section: Resultssupporting

confidence: 93%

Mechanical Properties of Composite Panels from Rice Husk

Bakar

Muhammed

2011

KEM

View full text Add to dashboard Cite

The study involving utilization of agricultural residue is gaining attention. This is an attempt to investigate the possibility of producing composite panels from rice husk (RH), an abundant source of agricultural residues. Composite panels were produced by mixing 1mm of rice husk with a commercial binder called urea formaldehyde at different density levels namely 650kg/m3, 700kg/m3 and 750kg/m3. Two types of resin content (10% and 12%) were used. Mechanical strength tests were performed on the panels conforming to British Standard (BS EN 310). Results obtained indicated that the modulus of elasticity (MOE) increased up to 1753.98MPa at 750kg/m3 density level with 12% resin content. Similarly, modulus of rupture (MOR) increased up to 8.08MPa with increase in panel density and amount of resin content. Thus, the potential of producing reasonably good composite panels from rice husk for specific end usage is very promising.

show abstract

Section: Resultssupporting

confidence: 93%

Mechanical Properties of Composite Panels from Rice Husk

Bakar

Muhammed

2011

KEM

View full text Add to dashboard Cite

show abstract

“…Tomography is a unique approach that is used to reconstruct a cross-sectional image of an object’s internal structure through sensory data obtained by the system [ 21 ]. The tomography system does not require invasion of the object of interest (OI), and was designed to analyze the monitored area’s internal composition using penetrating waves to calculate virtual cross-sections.…”

Section: Methodsmentioning

confidence: 99%

A New Method of Rice Moisture Content Determination Using Voxel Weighting-Based from Radio Tomography Images

Ramli

Rahiman

Kamarudin

et al. 2021

Sensors

View full text Add to dashboard Cite

This manuscript presents a new method to monitor and localize the moisture distribution in a rice silo based on tomography images. Because the rice grain is naturally hygroscopic, the stored grains’ quality depends on their level of moisture content. Higher moisture content leads to fibre degradation, making the grains too frail and possibly milled. If the moisture is too low, the grains become brittle and are susceptible to higher breakage. At present, the single-point measurement method is unreliable because the moisture build-up inside the silo might be distributed unevenly. In addition, this method mostly applies gravimetric analysis, which is destructive. Thus, we proposed a radio tomographic imaging (RTI) system to address these problems. Four simulated phantom profiles at different percentages of moisture content were reconstructed using Newton’s One-Step Error Reconstruction and Tikhonov Regularization algorithms. This simulation study utilized the relationship between the maximum voxel weighting of the reconstructed RTI image and the percentage of moisture content. The outcomes demonstrated promising results, in which the weighting voxel linearly increased with the percentage of moisture content, with a correlation coefficient higher than 0.95 was obtained. Therefore, the results support the possibility of using the RTI approach for monitoring and localizing the moisture distribution inside the rice silo.

show abstract

“…There are several tomographic techniques [71] such as X-ray, positron emission particle tracking, electrical capacitance and magnetic resonance imaging, used for the evaluation of powder blend uniformity which are reviewed in this section.…”

Section: Tomographic Techniquesmentioning

confidence: 99%