Temat: additive manufacturing (AM) - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Is It Time for the Maritime Industry to Embrace 3d Printed Spare Parts?
Autorzy:: Kostidi, E.
Nikitakos, N.
Powiązania:: https://bibliotekanauki.pl/articles/116591.pdf
Data publikacji:: 2018
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: 3D printing
maritime Industry
additive manufacturing (AM)
spare parts
shipping industry
space parts supply chain
supply chain
voxel
Opis:: New technology comes with benefits for companies that choose to adopt. Additive manufacturing (AM) or 3d printing as it is commonly known has been already implemented in various sectors (industrial and consumer products, medical, automotive, aerospace, etc.). The shipping industry is characterized as conservative to changes. As AM is starting to consolidate in the industry, can offer lessons guiding changes. Application in industries with similar to shipping characteristics (industries with moving assets), reveals the potential of applying it in the shipping industry. The availability of spare parts is important for the vessel maintenance. Additive manufacturing could shorten the space parts supply chain in the maritime industry, since the part could be made near the place it is needed.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2018, 12, 3; 557-564
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Computational intelligence in development of 3D printing and reverse engineering
Autorzy:: Rojek, Izabela
Mikołajewski, Dariusz
Nowak, Joanna
Szczepański, Zbigniew
Macko, Marek
Powiązania:: https://bibliotekanauki.pl/articles/2173553.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: additive manufacturing
three-dimensional printing
computational intelligence
optimization
drukowanie przestrzenne
wytwarzanie przyrostowe
AM
druk trójwymiarowy
inteligencja obliczeniowa
optymalizacja
Opis:: Computational intelligence (CI) can adopt/optimize important principles in the workflow of 3D printing. This article aims to examine to what extent the current possibilities for using CI in the development of 3D printing and reverse engineering are being used, and where there are still reserves in this area. Methodology: A literature review is followed by own research on CI-based solutions. Results: Two ANNs solving the most common problems are presented. Conclusions: CI can effectively support 3D printing and reverse engineering especially during the transition to Industry 4.0. Wider implementation of CI solutions can accelerate and integrate the development of innovative technologies based on 3D scanning, 3D printing, and reverse engineering. Analyzing data, gathering experience, and transforming it into knowledge can be done faster and more efficiently, but requires a conscious application and proper targeting.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 1; e140016, 1--9
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Design optimization of the Petri net-based production process supported by additive manufacturing technologies
Autorzy:: Patalas-Maliszewska, Justyna
Wiśniewski, Remigiusz
Topczak, Marcin
Wojnakowski, Marcin
Powiązania:: https://bibliotekanauki.pl/articles/2173645.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: additive manufacturing technology
manufacturing processes
Petri nets
process modelling
verification
validation
optimization of production process supported by AM technologies
technologia wytwarzania przyrostowego
proces produkcji
sieci Petriego
modelowanie procesów
weryfikacja
walidacja
optymalizacja procesu produkcyjnego wspierana technologiami AM
Opis:: In the era of smart manufacturing and Industry 4.0, the rapid development of modelling in production processes results in the implementation of new techniques, such as additive manufacturing (AM) technologies. However, large investments in the devices in the field of AM technologies require prior analysis to identify the possibilities of improving the production process flow. This paper proposes a new approach to determine and optimize the production process flow with improvements made by the AM technologies through the application of the Petri net theory. The existing production process is specified by a Petri net model and optimized by AM technology. The modified version of the system is verified and validated by the set of analytic methods safeguarding against the formal errors, deadlocks, or unreachable states. The proposed idea is illustrated by an example of a real-life production process.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e140693
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: In-situ metal matrix composites development for additive manufacturing: a perspective
Autorzy:: Essien, U. A.
Vaudreuil, S.
Powiązania:: https://bibliotekanauki.pl/articles/2172157.pdf
Data publikacji:: 2022
Wydawca:: Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:: metal matrix composites
in-situ reinforcement
AM materials
additive manufacturing
SLM
direct printing
kompozyt z osnową metaliczną
MMC
zbrojenie in-situ
wytwarzanie przyrostowe
AM
materiały
laserowe przetapianie proszków
druk bezpośredni
Opis:: Purpose This paper presents an overview on some ceramic materials capable of achieving in-situ reinforcements in Al/Al-alloy metal matrix composites (MMCs) during laser processing. It also presents perspective on further exploitation of the in-situ reinforcement capabilities for high quality MMCs feedstock material development. Design/methodology/approach The approach utilized in writing this paper encompasses the review of relevant literature on additive manufacturing (AM) of MMCs. Findings It is widely accepted that the in-situ reinforcement approach has proven to be more advantageous than the ex-situ approach. Though there are still some challenges like the formation of detremental phases and the evaporation of low melting temperature elements, the in-situ reinforcement approach can be used to tailor design composite powder feedstock materials for the AM of MMCs. The preprocessing or tailor-designing in-situ metal matrix composite powder before laser melting into desired components holds more promises for metal additive manufacturing. Practical implications The need for the development of MMCs powder feedstock that can be directly fabricated using suitable AM technique without prior powder processing like blending or mechanical alloying has not yet been addressed Therefore, having a pre-processed in-situ reinforced MMC feedstock powder can encourage easy fabrication of MMC and other advantages of AM technologies powder recycling. Originality/value The idea explained in this article is relevant to materials development for AM processing of metal matrix composite. This paper has pointed out future trends for MMCs materials feedstock powder development and new ideas for further exploitation of MMCs and AM technologies. The advantages of tailor-designing composite powders other than merely mixing them has been emphasized.
Źródło:: Journal of Achievements in Materials and Manufacturing Engineering; 2022, 111, 2; 78--85
1734-8412
Pojawia się w:: Journal of Achievements in Materials and Manufacturing Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Environmental analysis of a product manufactured with the use of an additive technology – AI-based vs. traditional approaches
Autorzy:: Dostatni, Ewa
Dudkowiak, Anna
Rojek, Izabela
Mikołajewski, Dariusz
Powiązania:: https://bibliotekanauki.pl/articles/2204511.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: additive manufacturing
AM
eco-design
life cycle assessment
LCA
artificial intelligence
AI
neural networks model
produkcja dodatkowa
zielony design
szacowanie cyklu życia
sztuczna inteligencja
model sieci neuronowej
Opis:: This paper attempts to conduct a comparative life cycle environmental analysis of alternative versions of a product that was manufactured with the use of additive technologies. The aim of the paper was to compare the environmental assessment of an additive-manufactured product using two approaches: a traditional one, based on the use of SimaPro software, and the authors’ own concept of a newly developed artificial intelligence (AI) based approach. The structure of the product was identical and the research experiments consisted in changing the materials used in additive manufacturing (from polylactic acid (PLA) to acrylonitrile butadiene styrene (ABS)). The effects of these changes on the environmental factors were observed and a direct comparison of the effects in the different factors was made. SimaPro software with implemented databases was used for the analysis. Missing information on the environmental impact of additive manufacturing of PLA and ABS parts was taken from the literature for the purpose of the study. The novelty of the work lies in the results of a developing concurrent approach based on AI. The results showed that the artificial intelligence approach can be an effective way to analyze life cycle assessment (LCA) even in such complex cases as a 3D printed medical exoskeleton. This approach, which is becoming increasingly useful as the complexity of manufactured products increases, will be developed in future studies.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 1; art. no. e144478
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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