Detection of Anomalies in Additively Manufactured Metal Parts Using CNN and LSTM Networks
Abstract
(ISSN 2689-5846)
Recent Progress in Materials is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is devoted to publishing high-quality papers that describe the most significant and cutting-edge research in all areas of Materials. Its aim is to provide timely, authoritative introductions to current thinking, developments and research in carefully selected topics. Also, it aims to enhance the international exchange of scientific activities in materials science and technology.
Recent Progress in Materials publishes original high quality experimental and theoretical papers and reviews on basic and applied research in the field of materials science and engineering, with focus on synthesis, processing, constitution, and properties of all classes of materials. Particular emphasis is placed on microstructural design, phase relations, computational thermodynamics, and kinetics at the nano to macro scale. Contributions may also focus on progress in advanced characterization techniques.
Main research areas include (but are not limited to):
Characterization & Evaluation of Materials
Metallic materials
Inorganic nonmetallic materials
Composite materials
Polymer Materials
Biomaterials
Sustainable Materials and Technologies
Special types of Materials
Macro-, micro- and nano structure of materials
Environmental interactions, process modeling
Novel applications of materials
Archiving: full-text archived in CLOCKSS.
Publication Speed (median values for papers published in 2022): Submission to First Decision: 3 weeks; Submission to Acceptance: 9 weeks; Acceptance to Publication: 9 days (1-2 days of FREE language polishing included)
Special Issue
Additive Manufacturing Technology in Construction
Submission Deadline: December 31, 2023 (Open) Submit Now
Guest Editor
Seyed Ghaffar, PhD, CEng, MICE, MICT, FHEA
Associate Professor in Civil Engineering
Director of Additive Manufacturing Technology in Construction (AMTC) Research Group
Department of Civil & Environmental Engineering, Brunel University London, UK
Research Interests: additive manufacturing of cementitious composites; concrete 3D printing; civil engineering materials; advanced functional materials; low-carbon concrete
About This Topic
Construction is an important economic engine, but also one of the largest consumers of resources and energy. The modern construction industry is undergoing a period of dramatic policy shift and priority change from a profit-charged business machine to a socio-economic and environmentally driven sector. Progress in the construction industry to implement additive manufacturing (AM) as an eco-innovative solution will be the focus of this Special issue with reference to essential parameters and the practical changes needed to realize a holistic solution that will potentially bring many benefits to the construction industry. Additive manufacturing technology has the potential to help the construction industry transition into a responsive and technically advanced sector.
Submission
Manuscripts should be submitted online at http://www.lidsen.com/account-login by registering and logging in to this website. Once you are registered, click here to go to the submission form. Guidelines for authors and other relevant information for submission of manuscripts are available on the Instructions for Authors page. Please visit the Instructions for Authors page before submitting a manuscript. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. All manuscripts are refereed through a peer-review process. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. If you have any questions, please feel free to inquire the editorial office at rpm@lidsen.com.
Publication
Detection of Anomalies in Additively Manufactured Metal Parts Using CNN and LSTM NetworksAbstract The process of metal additive manufacturing (AM) involves creating strong, complex components by using fine metal powders. Extensive use of AM methods is expected in near future for the production of small and medium-sized batches of end-use products and tools. The ability to detect loads and defects would enable AM components to be used in [...] |
Automated Quality and Process Control for Additive Manufacturing using Deep Convolutional Neural Networksby
![]() ![]() ![]() ![]() ![]() ![]() ![]() Abstract Additive Manufacturing (AM) is a crucial component of the smart manufacturing industry. In this paper, we propose an automated quality grading system for the fused deposition modeling (FDM) process as one of the major AM processes using a developed real-time deep convolutional neural network (CNN) model. The CNN model is trained [...] |
TOP