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The Use of Sensors in Additive Manufacturing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 15 April 2025 | Viewed by 2024

Special Issue Editor


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Guest Editor
Department of Engineering and Technology, College of Science, Technology, Engineering, Mathematics and Management, University of Wisconsin-Stout, Menomonie, WI 54751, USA
Interests: computational biomechanics; additive manufacturing; engineering education
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Special Issue Information

Dear Colleagues,

Welcome to this Special Issue of our journal, dedicated to exploring the transformative role of sensors in the realm of additive manufacturing. As the field of additive manufacturing continues to evolve, the integration of advanced sensor technologies becomes increasingly pivotal in enhancing precision, quality control, and process optimization. We invite authors to submit research articles on sensors employed in additive manufacturing processes, spanning from the in situ monitoring of temperature, pressure, and humidity to the utilization of advanced imaging techniques. We look forward to reading your articles on the latest developments, challenges, and breakthroughs in sensor applications, shedding light on how these technologies are shaping the future of additive manufacturing. Together, these contributions will form a comprehensive resource for researchers, engineers, and practitioners aiming to stay at the forefront of the symbiotic relationship between sensors and additive manufacturing technologies.

Dr. Anne Schmitz
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • additive manufacturing
  • 3D printing
  • in situ monitoring
  • process optimization
  • humidity control
  • temperature control

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Published Papers (2 papers)

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Research

19 pages, 8451 KiB  
Article
Fault Diagnosis and Prediction System for Metal Wire Feeding Additive Manufacturing
by Meng Xie, Zhuoyong Shi, Xixi Yue, Moyan Ding, Yujiang Qiu, Yetao Jia, Bobo Li and Nan Li
Sensors 2024, 24(13), 4277; https://doi.org/10.3390/s24134277 - 1 Jul 2024
Viewed by 791
Abstract
In the process of metal wire and additive manufacturing, due to changes in temperature, humidity, current, voltage, and other parameters, as well as the failure of machinery and equipment, a failure may occur in the manufacturing process that seriously affects the current situation [...] Read more.
In the process of metal wire and additive manufacturing, due to changes in temperature, humidity, current, voltage, and other parameters, as well as the failure of machinery and equipment, a failure may occur in the manufacturing process that seriously affects the current situation of production efficiency and product quality. Based on the demand for monitoring of the key impact parameters of additive manufacturing, this paper develops a parameter monitoring and prediction system for the additive manufacturing feeding process to provide a basis for future fault diagnosis. The fault diagnosis and prediction system for metal wire supply and additive manufacturing utilizes STM 32 as its core, enabling the capture and transmission of temperature, humidity, current, and voltage data. The upper computer system, designed on the LabVIEW 2019 virtual instrument platform, incorporates an LSTM neural network model and facilitates a connection between LabVIEW and MATLAB 2019 to achieve the prediction function. The monitoring and prediction system established in this study is intended to provide basic research assistance in the field of fault diagnosis. Full article
(This article belongs to the Special Issue The Use of Sensors in Additive Manufacturing)
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13 pages, 6531 KiB  
Article
Spectral Behavior of Fiber Bragg Gratings during Embedding in 3D-Printed Metal Tensile Coupons and Cyclic Loading
by Farid Ahmed, Md Shahriar Forhad and Mahmudul Hasan Porag
Sensors 2024, 24(12), 3919; https://doi.org/10.3390/s24123919 - 17 Jun 2024
Viewed by 942
Abstract
Additive manufacturing (AM) enables the spatially configurable 3D integration of sensors in metal components to realize smart materials and structures. Outstanding sensing capabilities and size compatibility have made fiber optic sensors excellent candidates for integration in AM components. In this study, fiber Bragg [...] Read more.
Additive manufacturing (AM) enables the spatially configurable 3D integration of sensors in metal components to realize smart materials and structures. Outstanding sensing capabilities and size compatibility have made fiber optic sensors excellent candidates for integration in AM components. In this study, fiber Bragg grating (FBG) sensors were embedded in Inconel 718 tensile coupons printed using laser powder bed fusion AM. On-axis (fiber runs through the coupon’s center of axis) and off-axis (fiber is at 5° and 10° to the coupon’s center of axis) sensors were buried in epoxy resin inside narrow channels that run through the coupons. FBGs’ spectral evolutions during embedment in the coupons were examined and cyclic loading experiments were conducted to analyze and evaluate the sensor integration process, complex strain loading, process flaws, and sensing performance. This study also demonstrates that the AM process-born deficiencies such as poor surface finish and staircase effects can be detrimental to the embedded sensors and their sensing performance. Full article
(This article belongs to the Special Issue The Use of Sensors in Additive Manufacturing)
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