Inspection of additive manufactured parts using laser ultrasonics

Lévesque, Daniel; Bescond, C.; Lord, M.; Cao, X.; Wanjara, P.; Monchalin, Jean‐Pierre

doi:10.1063/1.4940606

Cited by 35 publications

(15 citation statements)

References 5 publications

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“…To estimate the quality of an AM-built component, several measuring methods such as near-infrared complementary metaloxide-semiconductor (CMOS) camera [9], [10], photodiode sensor [9], and laser ultrasonic [11] had been proposed. To study the melt pool behavior, high speed optical process monitors with photodiode sensors were applied to detect thermal radiation of the melt pool [4], [9], [12].…”

Section: A Literature Reviewmentioning

confidence: 99%

An Intelligent Metrology Architecture With AVM for Metal Additive Manufacturing

Yang

Adnan

Huang

et al. 2019

IEEE Robot. Autom. Lett.

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The capability of measuring melt pool variation is the key evaluating metal additive manufacturing quality. To measure the variation, a metrology architecture with in situ melt pool measurement and an estimation module is required. However, it is a challenge to effectively extract significant features from the huge data collected by the in situ metrology for quality estimation requirement. The purpose of this letter is to propose an intelligent metrology architecture with an in situ metrology (ISM) module and an enhanced automatic virtual metrology (AVM) system. The ISM module can extract the melt pool features with a coaxial camera and a pyrometer. On the other hand, the AVM system is improved with a feature selection method to solve the issue of limited samples in the component modeling quality. The examples with different metals are adopted to illustrate how the system works for estimating surface roughness and density of components, and, in the future, the system can even serve as the feedback signal for adaptive control of the process parameters by layering in an additive manufacturing system. Index Terms-Metal additive manufacturing, intelligent metrology architecture, in-situ metrology, melt pool, AVM. I. INTRODUCTION M ETAL additive manufacturing (AM) recently gains popularity due to its enormous benefits over traditional manufacturing, e.g., the flexibility in design, customized product on demand, and small-scale manufacturing. Metal AM utilizes 3D design to build a component directly, layer-by-layer, using the laser beam to melt the metal powder. Due to process complexity, condition variations, and hardware constraints of the layer Manuscript

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Section: A Literature Reviewmentioning

confidence: 99%

An Intelligent Metrology Architecture With AVM for Metal Additive Manufacturing

Yang

Adnan

Huang

et al. 2019

IEEE Robot. Autom. Lett.

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“…In recent years, imaging of solids has drawn much research attention [55,120]. While nondestructive testing and evaluation of objects with complex shapes have numerous practical applications, they pose a significant challenge.…”

Section: Laser-ultrasonic Imaging Of Solid Bodiesmentioning

confidence: 99%

The Progress in Photoacoustic and Laser Ultrasonic Tomographic Imaging for Biomedicine and Industry: A Review

et al. 2018

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The current paper reviews a set of principles and applications of photoacoustic and laser ultrasonic imaging, developed in the Laser Optoacoustic Laboratories of ILIT RAS, NUST MISiS, and ILC MSU. These applications include combined photoacoustic and laser ultrasonic imaging for biological objects, and tomographic laser ultrasonic imaging of solids. Principles, algorithms, resolution of the developed methods, and related problems are discussed. The review is written in context of the current state-of-art of photoacoustic and laser ultrasonic imaging.

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“…The Synthetic Aperture Focusing Technique (SAFT) is one of the imaging algorithms [1] for generating 2D and 3D imaging of defects by synthesizing ultrasonic signals from small aperture transducer(s) to improve the lateral resolution using point-by-point scanning. SAFT algorithms can be categorized as the Time domain SAFT (T-SAFT) [1] , [7] and Frequency domain SAFT (F-SAFT) algorithms [8] , [9] , [10] , [11] , [12] , [13] , [14] , [15] . Compared with the T-SAFT, rapid implementation is an important advantage of F-SAFT when it is used in practical situations [1] , [7] , [8] , especially real-time imaging.…”

Section: Introductionmentioning

confidence: 99%

“…The LU techniques have characteristics such as non-contact and non-destructive testing [3] , [4] , [5] , and can be conducted in wide frequency bands, on curved complex surfaces, or in hostile environments [6] , [8] . Successful demonstrations have been produced for detecting cracks in stainless steel plates [16] and imaging the layering of curved interfaces [9] , [10] using the LU-SAFT. The algorithm was also applied to detecting and imaging of other industrial devices and complex structures [17] .…”

Section: Introductionmentioning

confidence: 99%

Non-destructive laser-ultrasonic Synthetic Aperture Focusing Technique (SAFT) for 3D visualization of defects

Chen

Ying

et al. 2021

Photoacoustics

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The Laser Ultrasonic (LU) technique has been widely studied. Detected ultrasonic signals can be further processed using Synthetic Aperture Focusing Techniques (SAFTs), to detect and image internal defects. LU-based SAFT in frequency-domain (F-SAFT) is developed to visualize horizontal hole-type defects in aluminum. Bulk acoustic waves are non-destructively generated by irradiating a laser line-source, and detected using a laser Doppler vibrometer at a point away from the generation. The influence of this non-coincident generation-detection on the equivalent acoustic velocity used in the algorithm is studied via velocity mappings. Because the wide-band generation characteristic of the LU technique, frequency range selections in acoustic wave signals are implemented to increase Signal-to-Noise Ratio (SNR) and reconstruction speed. Results indicate that by using the LU F-SAFT algorithm, and incorporating optimizations such as velocity mapping and frequency range selection, small defects can be visualized in 3D with corrected locations and improved image quality.

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Inspection of additive manufactured parts using laser ultrasonics

Cited by 35 publications

References 5 publications

An Intelligent Metrology Architecture With AVM for Metal Additive Manufacturing

An Intelligent Metrology Architecture With AVM for Metal Additive Manufacturing

The Progress in Photoacoustic and Laser Ultrasonic Tomographic Imaging for Biomedicine and Industry: A Review

Non-destructive laser-ultrasonic Synthetic Aperture Focusing Technique (SAFT) for 3D visualization of defects

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