Optimizing sawing of boards for furniture production using CT log scanning

Fredriksson, Magnus

doi:10.1007/s10086-015-1500-0

Cited by 13 publications

(7 citation statements)

References 21 publications

(19 reference statements)

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“…The measurement of leakage radiation during scanning was performed with a metrologically verified instrument. The measured value was the ambient dose equivalent rate 𝐻𝐻 ̇ * (10). The measurement was carried out on 7th of October 2022.…”

Section: Methodsmentioning

confidence: 99%

“…The measured value was the ambient dose equivalent rate . H * (10). The measurement was carried out on 7th of October 2022.…”

Section: Methodsmentioning

confidence: 99%

“…The application of fast and continuous scanning of timber logs was demonstrated by Ursella et al The scanning speed reached up to 160 m/min [9]. Another example is the demonstration that the introduction of furniture production optimization using CT scanning can increase the economic value by 11% [10]. The introduction of CT scanning technology is also related to the development of software tools for the automatic detection of wood defects, the use of neural networks [11] and the principles of computer vision [12,13].…”

Section: Introductionmentioning

confidence: 99%

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Radiation Protection of a 3D Computer Tomography Scanning Workplace for Logs—A Case Study

Gergeľ,

Hamza,

Ondrejka

et al. 2023

Sensors

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Despite its undeniable advantages, the operation of a CT scanner also carries risks to human health. The CT scanner is a source of ionizing radiation, which also affects people in its surroundings. The aim of this paper is to quantify the radiation exposure of workers at a 3D CT wood scanning workplace and to determine a monitoring program based on measurements of ionizing radiation levels during the operation of a CT log scanner. The workplace is located in the Biotechnology Park of the National Forestry Centre. The ionizing radiation source is located in a protective cabin as a MICROTEC 3D CT machine with an X-ray lamp as X-ray source. The CT scanner is part of the 3D CT scanning line and its function is continuous quality scanning or detection of internal defects of the examined wood. The measurement of leakage radiation during scanning is performed with a metrologically verified meter. The measured quantity is the ambient dose equivalent rate H˙*10. The results of the measurements at the selected measurement sites have shown that, after installation of additional safety barriers, the CT scanner for the logs complies with the most strict criteria in terms of radiation protection. Workers present at the workplace during the operation of the CT scanner are not exposed to radiation higher than the background radiation level.

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Section: Methodsmentioning

confidence: 99%

“…The measured value was the ambient dose equivalent rate . H * (10). The measurement was carried out on 7th of October 2022.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Radiation Protection of a 3D Computer Tomography Scanning Workplace for Logs—A Case Study

Gergeľ,

Hamza,

Ondrejka

et al. 2023

Sensors

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show abstract

“…In addition to algorithms for knot detection [294][295][296], algorithms developed include pith detection [297], fiber orientation [298], spiral grain [299], decay recognition [300], and moisture distribution mapping [301]. Ultimately mapping internal log defects prior to sawing allows for improved lumber value recovery during processing [302][303][304]. Studies have also examined variation within and among stems, e.g., [305], verified light detection and ranging (LiDAR) measurements of wood quality assessment with verification by X-ray CT data [306], and prediction of stiffness of sawn products based on log scans [307].…”

Section: Computer Tomography (Ct) Scanningmentioning

confidence: 99%

Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

Schimleck

Dahlen

Apiolaza

et al. 2019

Forests

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To maximize utilization of our forest resources, detailed knowledge of wood property variation and the impacts this has on end-product performance is required at multiple scales (within and among trees, regionally). As many wood properties are difficult and time-consuming to measure our knowledge regarding their variation is often inadequate as is our understanding of their responses to genetic and silvicultural manipulation. The emergence of many non-destructive evaluation (NDE) methodologies offers the potential to greatly enhance our understanding of the forest resource; however, it is critical to recognize that any technique has its limitations and it is important to select the appropriate technique for a given application. In this review, we will discuss the following technologies for assessing wood properties both in the field: acoustics, Pilodyn, Resistograph and Rigidimeter and the lab: computer tomography (CT) scanning, DiscBot, near infrared (NIR) spectroscopy, radial sample acoustics and SilviScan. We will discuss these techniques, explore their utilization, and list applications that best suit each methodology. As an end goal, NDE technologies will help researchers worldwide characterize wood properties, develop accurate models for prediction, and utilize field equipment that can validate the predictions. The continued advancement of NDE technologies will also allow researchers to better understand the impact on wood properties on product performance.

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“…For the wood industry, several studies [1][2] [3] showed that the transformation of the wood based on the internal density of the log improved the value recovery. Knots are considered as the main important inner element of the wood.…”

Section: Introductionmentioning

confidence: 99%

A Survey On 3D Inner Structure Prediction from its Outer Shape

Mejri¹,

Richard²,

Pradalier³

2020

Preprint

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The analysis of the internal structure of trees is highly important for both forest experts, biological scientists, and the wood industry. Traditionally, CT-scanners are considered as the most efficient way to get an accurate inner representation of the tree. However, this method requires an important investment and reduces the cost-effectiveness of this operation. Our goal is to design neural-network-based methods to predict the internal density of the tree from its external bark shape. This paper compares different image-to-image(2D), volume-to-volume(3D) and Convolutional Long Short Term Memory based neural network architectures in the context of the prediction of the defect distribution inside trees from their external bark shape. Those models are trained on a synthetic dataset of 1800 CT-scanned look-like volumetric structures of the internal density of the trees and their corresponding external surface.

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Optimizing sawing of boards for furniture production using CT log scanning

Cited by 13 publications

References 21 publications

Radiation Protection of a 3D Computer Tomography Scanning Workplace for Logs—A Case Study

Radiation Protection of a 3D Computer Tomography Scanning Workplace for Logs—A Case Study

Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation

A Survey On 3D Inner Structure Prediction from its Outer Shape

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