Development of structured light 3D-scanner with high spatial resolution and its applications for additive manufacturing quality assurance

Wang, Rongxuan; Law, Adrian Wing‐Keung; García, D. J.; Yang, Shuo; Kong, Zhenyu

doi:10.1007/s00170-021-07780-2

Cited by 26 publications

(12 citation statements)

References 28 publications

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“…The image shown in Figure 10a is the 2D surface pattern of the printed part. Surface morphology measurement and quantification can be obtained through a white light interferometer Wang et al (2021), which has a small field of view (spatial resolution ∼20 µm) and takes hours to scan a small surface. The printed part is relatively large (15 mm×15 mm top surface).…”

Section: Application In Metal Additive Manufacturingmentioning

confidence: 99%

“…This paper aims to solve two practical problems in additive manufacturing (AM) using our proposed SALAD: (1) detect a specific type of anomalies from an unlabeled dataset, and (2) measurement allocation under a certain budget. In Sections 5.3 and 5.4, polymer Liu et al (2019) and metal AM Wang et al (2021) are used to demonstrate the superior performance of the proposed SALAD in solving Problems (1) and ( 2), respectively.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Active Anomaly Discovery Method and its Applications in Additive Manufacturing

Shen¹,

Kong²

2022

Preprint

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Anomaly detection aims to identify the true anomalies from a given set of data instances. Unsupervised anomaly detection algorithms are applied to an unlabeled dataset by producing a ranked list based on anomaly scores. Unfortunately, due to the inherent limitations, many of the top-ranked instances by unsupervised algorithms are not anomalies or not interesting from an application perspective, which leads to high false-positive rates. Active anomaly discovery (AAD) is proposed to overcome this deficiency, which sequentially selects instances to get the labeling information and incorporate it into the anomaly detection algorithm to improve the detection accuracy iteratively. However, labeling is often costly. Therefore, the way to balance detection accuracy and labeling cost is essential. Along this line, this paper proposes a novel AAD method to achieve the goal. Our approach is based on the state-of-the-art unsupervised anomaly detection algorithm, namely, Isolation Forest, to extract features. Thereafter, the sparsity of the extracted features is utilized to improve its anomaly detection performance. To enforce the sparsity of the features and subsequent improvement of the detection analysis, a new algorithm based on online gradient descent, namely, Sparse Approximated Linear Anomaly Discovery (SALAD), is proposed with its theoretical Regret analysis. Extensive experiments on both open-source and additive manufacturing datasets demonstrate that the proposed algorithm significantly outperforms the state-of-the-art algorithms for anomaly detection.

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Section: Application In Metal Additive Manufacturingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Active Anomaly Discovery Method and its Applications in Additive Manufacturing

Shen¹,

Kong²

2022

Preprint

Self Cite

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show abstract

“…The non-contact measuring method [ 6 ] is widely used in current polymer engineering because of its high measurement efficiency compared with the conventional contact measuring method [ 7 ]. Wang et al [ 8 ] developed the structured-light 3D scanner for the quality assurance of a Ti-6Al-4V part fabricated by the additive manufacturing technique [ 9 , 10 , 11 ]. The proposed scanner improved the scanning and processing speed from 2 to 20 s compared with the conventional white light interferometer.…”

Section: Introductionmentioning

confidence: 99%

An Environmentally-Friendly Three-Dimensional Computer-Aided Verification Technique for Plastic Parts

Kuo

Lee³

2022

Polymers

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Plastic components play a significant role in conserving and saving energy. Plastic products provide some advantages over metal, including reducing part weight, manufacturing costs, and waste, and increasing corrosion resistance. Environmental sustainability is one of the sustainable development goals (SDGs). Currently, the non-contact computer-aided verification method is frequently employed in the plastic industry due to its high measurement efficiency compared with the conventional contact measuring method. In this study, we proposed an innovative, green three-dimensional (3D) optical inspection technology, which can perform precise 3D optical inspection without spraying anything on the component surface. We carried out the feasibility experiments using two plastic parts with complex geometric shapes under eight different proposed measurement strategies that can be adjusted according to the software interface. We studied and analyzed the differences in 3D optical inspection for building an empirical technical database. Our aim in this study is to propose a technical database for 3D optical measurements of an object without spraying anything to the component’s surface. We found that the research results fulfilled the requirements of the SDGs. Our research results have industrial applicability and practical value because the dimensional average error of the two plastic parts has been controlled at approximately 3 µm and 4.7 µm.

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“…The optical measurement approach [ 1 ] is widely used in the ferrous or nonferrous metal industry due to the high measurement efficiency compared to contact measuring approach [ 2 ]. Wang et al [ 3 ] proposed a unique structured light for quality control of a Ti alloy component fabricated by metal three-dimensional (3D) printing technology [ 4 , 5 , 6 ]. The proposed structured light improved the scanning and processing speed greatly.…”

Section: Introductionmentioning

confidence: 99%

Development of a Three-Dimensional Optical Verification Technology without Environmental Pollution for Metal Components with Different Surface Properties

Kuo

Lee³

2022

Materials

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Nowadays, the optical measuring approach is widely used in the precision machining industry due to high measurement efficiency. In the industry, measuring devices play a crucial role in the field of quality assurance. In practical engineering, the green measurement approach indeed plays an important role in the industry currently. In this study, a state-of-the-art green technique for three-dimensional (3D) optical measurements without environmental pollution is demonstrated, which is an environmentally friendly optical measurement method. This method can perform precise optical measurement without matte coatings. This work dealt with the possibility of measuring four metal components that were not sprayed with anything. The differences in the optical measurement results between with and without matte coatings were investigated and analyzed. It was found that the research result has practical value in the precision machining industry because average size errors of the four measurement objects with different surface properties can be controlled at about 3 µm, 0.1 µm, 0.5 µm, and 9 µm. A technical database with industrial value was established for optical measurements of metal components with different surface properties without matte coatings, which can serve as an alternative to the conventional 3D optical measurement.

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Development of structured light 3D-scanner with high spatial resolution and its applications for additive manufacturing quality assurance

Cited by 26 publications

References 28 publications

A Novel Active Anomaly Discovery Method and its Applications in Additive Manufacturing

A Novel Active Anomaly Discovery Method and its Applications in Additive Manufacturing

An Environmentally-Friendly Three-Dimensional Computer-Aided Verification Technique for Plastic Parts

Development of a Three-Dimensional Optical Verification Technology without Environmental Pollution for Metal Components with Different Surface Properties

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