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Journal ArticleDOI

Design of a Multi-sensor Monitoring System for Additive Manufacturing Process

TLDR
An optical process monitoring system based on multiple sensors is proposed, which is equipped with a white light Imaging channel, an infrared imaging channel, and a polarization imaging channel and can be optimized using Zemax software by appropriately selecting the optimization function operands.
Abstract
Additive manufacturing (AM) technology is becoming increasingly feasible in industrial applications. Although AM systems continue to improve, the lack of repeatability and stability of these technologies remains an obstacle to industrial breakthroughs. Thus, AM process monitoring equipment has to be set up to supervise product quality and detect defects. This study first reviews the various categories of defects, relevant AM process signatures, and optical monitoring methods of powder bed fusion processes proposed so far. Then, according to the detection requirements, an optical process monitoring system based on multiple sensors is proposed, which is equipped with a white light imaging channel, an infrared imaging channel, and a polarization imaging channel. The aberrations can be optimized using Zemax software by appropriately selecting the optimization function operands. Thus, the design requirements for the multi-sensor monitoring system for the AM process can be achieved.

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Citations
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Journal ArticleDOI

In situ monitoring methods for selective laser melting additive manufacturing process based on images — A review

TL;DR: In this paper, the authors reviewed the research progress of in situ monitoring during selective laser melting (SLM) process based on images and proposed the main development direction of image-based computer vision.
Journal ArticleDOI

A Review of In Situ Defect Detection and Monitoring Technologies in Selective Laser Melting.

TL;DR: In this article , the defects that occurred in Selective laser melting (SLM) processes and their influence on the final parts are documented. But the quality of SLM parts is affected by many factors, resulting in a lack of repeatability and stability of this method.
Journal ArticleDOI

Multi-Sensor Image Fusion Method for Defect Detection in Powder Bed Fusion

TL;DR: In this article , a multi-sensor image fusion method based on finite discrete shearlet transform (FDST), multi-scale sequential toggle operator (MSSTO), and an improved pulse-coupled neural networks (PCNN) framework were proposed to fuse information in the visible and infrared spectra to detect defects in challenging conditions.
Proceedings ArticleDOI

An investigation of data fusion for defects inspection in additive manufacturing

TL;DR: A novel enhanced fusion algorithm based on Finite Discrete Shearlet Transform (FDST) and multi-scale sequential toggle operator (MSSTO) for visible and infrared images fusion in the AM systems is proposed.
References
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Book

Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing

TL;DR: Gibson et al. as discussed by the authors presented a comprehensive overview of additive manufacturing technologies plus descriptions of support technologies like software systems and post-processing approaches, and provided systematic solutions for process selection and design for AM Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing.
Journal ArticleDOI

Multisensor data fusion: A review of the state-of-the-art

TL;DR: A comprehensive review of the data fusion state of the art is proposed, exploring its conceptualizations, benefits, and challenging aspects, as well as existing methodologies.
Journal ArticleDOI

Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing

TL;DR: In this paper, the state-of-the-art with respect to inspection methodologies compatible with additively manufactured (AM) processes is explored with the intention of identifying new avenues for research and proposing approaches to integration into future generations of AM systems.
Journal ArticleDOI

Manufacture by selective laser melting and mechanical behavior of commercially pure titanium

TL;DR: In this article, the results of using selective laser melting (SLM) to produce CP-Ti parts starting from powder with a wide grain size range up to 100μm were presented.
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