In Situ Computed Tomography—Analysis of a Single-Lap Shear Test with Clinch Points

Köhler, Daniel; Kupfer, Robert; Troschitz, Juliane; Gude, Μaik

doi:10.3390/ma14081859

Cited by 12 publications

(4 citation statements)

References 17 publications

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“…18 shows the CT machine, which comprises an X-ray source, a translational moveable rotating table where the item to be scanned is placed on an X-ray detector, and a processing unit (made of six processors working together) to analyze and display the measurement data. There are now two types of CT systems [68][69][70].…”

Section: Other Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Surface Characteristics Measurement Using Computer Vision: A Review

Hashmi¹,

Mali²,

Meena³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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Computer vision provides image-based solutions to inspect and investigate the quality of the surface to be measured. For any components to execute their intended functions and operations, surface quality is considered equally significant to dimensional quality. Surface Roughness (Ra) is a widely recognized measure to evaluate and investigate the surface quality of machined parts. Various conventional methods and approaches to measure the surface roughness are not feasible and appropriate in industries claiming 100% inspection and examination because of the time and efforts involved in performing the measurement. However, Machine vision has emerged as the innovative approach to executing the surface roughness measurement. It can provide economic, automated, quick, and reliable solutions. This paper discusses the characterization of the surface texture of surfaces of traditional or non-traditional manufactured parts through a computer/machine vision approach and assessment of the surface characteristics, i.e., surface roughness, waviness, flatness, surface texture, etc., machine vision parameters. This paper will also discuss multiple machine vision techniques for different manufacturing processes to perform the surface characterization measurement.

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Section: Other Methodsmentioning

confidence: 99%

“…Figure 24: Schematic test set-up in the in situ computed tomography (CT) (a), the cross-section of the lap shear specimen in the initial position with the characteristic dimensions (b), and the overall specimen dimensions (in mm) (c)[70] …”

mentioning

confidence: 99%

Surface Characteristics Measurement Using Computer Vision: A Review

Hashmi¹,

Mali²,

Meena³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

show abstract

“…The strength test is performed to determine the bottom thickness of the joint and detect the appearance of cracks, folds and other damage phenomena in the clinched joint. Strength testing is currently regarded as an accurate method to measure the quality of clinched joints, and previous studies have focused on tensile, fatigue and shear strength testing [76,[140][141][142][143][144][145][146]. Thus, the joint quality is determined through these tests.…”

Section: Quality Evaluationmentioning

confidence: 99%

Connection of difficult-to-form sheets by clinching process: A review

Wang

Gao

et al. 2022

Materials Science and Technology

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The clinching technology attracted increasing attention in recent years, but its application might be restricted due to the growing employment of materials that are difficult to join and hybrid structures involving different mechanical performance materials. Traditional clinching technology has limitations of strain rate sensitivity, ductility and damage fracture when applied to materials with high strength, low strain-to-failure and low plasticity. However, the ductility and formability of the material represent a limitation for the clinching process. The present study explored some concepts of clinching, such as hole, friction-assisted, laser-assisted, electro-hydraulic, electromagnetically assisted and hot assisted clinching, for the difficult-to-form sheets. The paper includes the description of the deformation mechanism of clinched joints and the analysis of clinched joint performance and applicability.

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“…High precision CT is also a very important tool in the in-situ mechanical study of concrete and metal components. Although existing CT imaging systems for in-situ testing use the same approach as most industrial systems: the scanning component is fixed while the sample and in-situ loading device rotates [3][4][5][6], CT scanning of large reinforced concrete and metal components has to be carried out with a fixed loading table and specimen, while the scanning device, i.e. the radiation source and detector, rotates, just as in medical CT.…”

Section: Introductionmentioning

confidence: 99%

Least squares based geometric error measurement for sparse view CT: a 2D simulation study

Wenju¹,

Xiao²

2022

Meas. Sci. Technol.

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X-ray computed tomography(CT) is considered as one of the most common techniques in non-destructive testing and is also an essential and important method in the field of dimensional measurement. For high-precision measurement task scenarios, geometric errors due to the instability of the CT motion equipment cannot be ignored and need to be accurately measured and corrected. In-situ testing of large objects such as geotechnical materials, mechanical assemblies, metal weldments and concrete specimens also requires high-precision CT imaging of their interiors to obtain information of interest. The rotation of the scanning parts for these large in-situ tests and sparse-view scanning mode also makes it difficult to measure geometric errors. This paper therefore proposes a method for simultaneous measurement of geometric errors based on a priori information for in-situ testing characteristics. This method is capable of measuring geometric errors in sparse view projections with a length accuracy of 0.1mm and an angular accuracy of 6 × 10−5 radians in 0.5 seconds per angle, as the simulation results show. The reconstruction results show that this level of geometric error measurement accuracy provides a dimensional measurement accuracy of 0.01mm for the internal structure. The data for the simulation experiments in this paper are generated from real concrete data by noisy simulation.

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In Situ Computed Tomography—Analysis of a Single-Lap Shear Test with Clinch Points

Cited by 12 publications

References 17 publications

Surface Characteristics Measurement Using Computer Vision: A Review

Surface Characteristics Measurement Using Computer Vision: A Review

Connection of difficult-to-form sheets by clinching process: A review

Least squares based geometric error measurement for sparse view CT: a 2D simulation study

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