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      • Record: found
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      Fibre Alignment and Void Assessment in Thermoplastic Carbon Fibre Reinforced Polymers Manufactured by Automated Tape Placement

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          Abstract

          Automated Tape Placement (ATP) technology is one of the processes that is used for the production of the thermoplastic composite materials. The ATP process is complex, requiring multiple melting/crystallization cycles. In the current paper, laser-assisted ATP was used to manufacture two thermoplastic composites (IM7/PEEK and AS4/PA12). Those specimens were compared to specimens that were made of thermoset polymeric composites (IM7/8552) manufactured while using a standard autoclave cycle. In order assess the quality, void content, fibre distribution, and fibre misalignment were measured. After manufacturing, specimens from the three materials were assessed using optical microscopy and computed tomography (CT) scans. The results showed that, as compared to the thermoset composites, thermoplastics that are manufactured by the ATP have a higher amount of voids. On the other hand, manufacturing using the ATP showed an improvement in both the fibre distribution inside the matrix and the fibre misalignment.

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          NIH Image to ImageJ: 25 years of image analysis

          Kevin W Eliceiri, Caroline A Schneider, Wayne S Rasband (2019)
          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
          Article 0 comments Cited 8955 times – based on 0 reviews     Review now
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            ImageJ2: ImageJ for the next generation of scientific image data

            Curtis Rueden, Johannes Schindelin, Mark C Hiner … (2018)
            Background ImageJ is an image analysis program extensively used in the biological sciences and beyond. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and professional developers alike. Enabling such a diversity of contributors has resulted in a large community that spans the biological and physical sciences. However, a rapidly growing user base, diverging plugin suites, and technical limitations have revealed a clear need for a concerted software engineering effort to support emerging imaging paradigms, to ensure the software’s ability to handle the requirements of modern science. Results We rewrote the entire ImageJ codebase, engineering a redesigned plugin mechanism intended to facilitate extensibility at every level, with the goal of creating a more powerful tool that continues to serve the existing community while addressing a wider range of scientific requirements. This next-generation ImageJ, called “ImageJ2” in places where the distinction matters, provides a host of new functionality. It separates concerns, fully decoupling the data model from the user interface. It emphasizes integration with external applications to maximize interoperability. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. The redesigned data model supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image acquisition. Despite the scope of these changes, backwards compatibility is maintained such that this new functionality can be seamlessly integrated with the classic ImageJ interface, allowing users and developers to migrate to these new methods at their own pace. Conclusions Scientific imaging benefits from open-source programs that advance new method development and deployment to a diverse audience. ImageJ has continuously evolved with this idea in mind; however, new and emerging scientific requirements have posed corresponding challenges for ImageJ’s development. The described improvements provide a framework engineered for flexibility, intended to support these requirements as well as accommodate future needs. Future efforts will focus on implementing new algorithms in this framework and expanding collaborations with other popular scientific software suites. Electronic supplementary material The online version of this article (doi:10.1186/s12859-017-1934-z) contains supplementary material, which is available to authorized users.
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              CircStat: AMATLABToolbox for Circular Statistics

              Philipp Berens, Jan de Leeuw (2009)
              Article 0 comments Cited 473 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Luigi Sorrentino: Role: Academic Editor
                Somen K. Bhudolia: Role: Academic Editor
                Journal
                Journal ID (nlm-ta): Polymers (Basel)
                Journal ID (iso-abbrev): Polymers (Basel)
                Journal ID (publisher-id): polymers
                Title: Polymers
                Publisher: MDPI
                ISSN (Electronic): 2073-4360
                Publication date (Electronic): 02 February 2021
                Publication date Collection: February 2021
                Volume: 13
                Issue: 3
                Electronic Location Identifier: 473
                Affiliations
                [1 ]Engineering Management Department, College of Engineering, Prince Sultan University, Riyadh 66833, Saudi Arabia
                [2 ]Mechanical Design and Production Department, Faculty of Engineering, Zagazig University, Zagazig P.O. Box 44519, Sharkia, Egypt
                [3 ]Saudi Aramco, Research & Development Center, Dhahran 31311, Saudi Arabia; MohamedmmBouhrara@ 123456aramco.com
                [4 ]Irish Composites Centre (IComp), Bernal Institute, University of Limerick, V94 T9PX Limerick, Ireland; Noel.dowd@ 123456ul.ie
                Author notes
                [* ]Correspondence: sepaey@ 123456hotmail.com or tsebaey@ 123456psu.edu.sa ; Tel.:+966-(0)-11-494-8644
                Author information
                https://orcid.org/0000-0001-7696-1973
                https://orcid.org/0000-0001-5717-8561
                Article
                Publisher ID: polymers-13-00473
                DOI: 10.3390/polym13030473
                PMC ID: 7867374
                PubMed ID: 33540833
                SO-VID: fadbb6a0-ab7c-4508-ad49-c0332b312ac5
                Copyright © © 2021 by the authors.
                License:

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                Date received : 10 December 2020
                Date accepted : 28 January 2021
                Categories
                Subject: Article

                Keywords: thermoplastic composites,automated tape placement,fibre misalignment,voids,ct scan,circular distribution
                Data availability:
                Keywords: thermoplastic composites, automated tape placement, fibre misalignment, voids, ct scan, circular distribution

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