100+ datasets found
  1. Federated learning dataset: A case study of vibration analysis for desktop...

    • zenodo.org
    • explore.openaire.eu
    • +1more
    zip
    Updated Jul 17, 2024
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    Cheng-Hao Chou; Cheng-Hao Chou; Chinedum Okwudire; Chinedum Okwudire (2024). Federated learning dataset: A case study of vibration analysis for desktop 3D printers [Dataset]. http://doi.org/10.5281/zenodo.5747732
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    zipAvailable download formats
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Cheng-Hao Chou; Cheng-Hao Chou; Chinedum Okwudire; Chinedum Okwudire
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains the acceleration data collected from six low-cost 3D printers (same make and model) air-printing cubes with different printing speeds. This dataset can be used as a case study for federated learning, personalized learning, etc.

  2. Dataset for '3D printing of customizable transient bioelectronics and...

    • zenodo.org
    bin, pdf, zip
    Updated Jul 1, 2024
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    Nicolas Fumeaux; Nicolas Fumeaux; Danick Briand; Danick Briand (2024). Dataset for '3D printing of customizable transient bioelectronics and sensors' [Dataset]. http://doi.org/10.5281/zenodo.12606091
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    bin, pdf, zipAvailable download formats
    Dataset updated
    Jul 1, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nicolas Fumeaux; Nicolas Fumeaux; Danick Briand; Danick Briand
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “3D printing of customizable transient bioelectronics and sensors”.

    This work aims to study and demonstrate the fabrication by 3D printing of devices made of transient materials, i.e. materials that can break down and degrade in an environment of choice. Biodegradable electronic devices have potential in tackling the issue of electronic waste and present an opportunity for new types of implantable and/or wearable devices that can resorb after their lifecycle is completed. A bioresorbable elastomer and a conductive carbon-based ink are printed by direct-ink writing, thanks to an in depth study of their dispense behavior. Several sensors are shown as demonstrators (strain, pressure, electrodes). The data that was collected in the frame of this work is present in this repository. More information about the contents of the dataset is present in the included README file.

  3. Uses of 3D printing 2015-2020

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Uses of 3D printing 2015-2020 [Dataset]. https://www.statista.com/statistics/560271/worldwide-survey-3d-printing-uses/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2020, the most popular use case of ** printing was prototyping, with ** percent of respondents citing this purpose for 3D printing. Of those surveyed, ** percent of respondents said they used 3D printing for proof of concept purposes, whilst ** percent used the technology for production.

  4. Market Survey on 3D Printing Market Covering Sales Outlook, Up-to-date Key...

    • futuremarketinsights.com
    pdf
    Updated Jun 21, 2023
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    Future Market Insights (2023). Market Survey on 3D Printing Market Covering Sales Outlook, Up-to-date Key Trends, Market Size and Forecast, Market Statistics, Penetration Analysis, Pricing Analysis and Company Ecosystem 2023 to 2033 [Dataset]. https://www.futuremarketinsights.com/reports/3d-printing-market
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    pdfAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2023 - 2033
    Area covered
    Worldwide
    Description

    The global 3D printing market is likely to reach a market valuation of US$ 27.7 billion by the year 2023, accelerating with an impressive CAGR of 21% from 2023 to 2033. The 3D printing market share is expected to value at about US$ 186.4 billion by 2033 end.

    AttributesDetails
    3D Printing Market Size (2023)US$ 27.7 billion
    3D Printing Market Projected Size (2033)US$ 186.4 billion
    3D Printing Market Value CAGR (2023 to 2033)21%

    Scope of Report

    AttributeDetails
    Forecast Period2023 to 2033
    Historical Data Available for2018 to 2022
    3D Printing Market Size (2023)US$ 27.7 billion
    3D Printing Market Projected Size (2033)US$ 186.4 billion
    Market AnalysisUS$ million for Value and Tons for Volume
    Key Regions Covered
    • North America
    • Latin America
    • Western Europe
    • Eastern Europe
    • South Asia and Pacific
    • East Asia
    • The Middle East and Africa
    Key Countries Covered
    • The United States
    • Canada
    • Brazil
    • Mexico
    • Germany
    • The United Kingdom
    • France
    • Spain
    • Italy
    • Poland
    • Russia
    • Czech Republic
    • Romania
    • India
    • Bangladesh
    • Australia
    • New Zealand
    • China
    • Japan
    • South Korea
    • GCC Countries
    • South Africa
    • Israel
    Key Segments Covered
    • Component
    • Technology
    • Application
    • Industry
    • Region
    Key Companies Profiled
    • Stratasys, Ltd.
    • Materialise
    • EnvisionTec, Inc.
    • 3D Systems, Inc.
    • GE Additive
    • Autodesk Inc.
    • Made In Space
    • Canon Inc.
    • Voxeljet AG
    • SLM Solutions
    Report CoverageMarket Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives
    Customization & PricingAvailable upon Request
  5. Data from: Evaluating the usability of 3D thematic maps; a survey with...

    • figshare.com
    7z
    Updated Jan 18, 2022
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    Eleni Tomai; Margarita Kokla (2022). Evaluating the usability of 3D thematic maps; a survey with visually impaired students [Dataset]. http://doi.org/10.6084/m9.figshare.16884724.v3
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    7zAvailable download formats
    Dataset updated
    Jan 18, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Eleni Tomai; Margarita Kokla
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The documents included in this dataset provide information on:a) personal questions given to survey participants (DemographicsQuestionnaire.pdf)b) spatial questions given to participants (SpatialQuestions.pdf)c) the adapted SUS questionnaire (MapUsabilityScale.pdf)d) The dataset of collected participants responses, in the form of a zip archive (3D_printed_map.7z). e) a document with brief guidelines for conducting the survey (Guidelines.docx).f) Finally, the R script (experiment.R) to run the statistical analysis detailed in the paper and to generate Tables 1-4 and the contents of Figure 9 are also included. The R script needs calling the above-mentioned dataset of participants' responses (d), to run effectively.

  6. d

    Data from: 3D printing lifts the lid on black box instruments

    • dataone.org
    • search.dataone.org
    • +2more
    Updated Nov 29, 2023
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    Levi Garza; Michael Jones; Caley Craven; Charles Lucy; Eric Davis (2023). 3D printing lifts the lid on black box instruments [Dataset]. http://doi.org/10.5061/dryad.cc2fqz66b
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    Dataset updated
    Nov 29, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Levi Garza; Michael Jones; Caley Craven; Charles Lucy; Eric Davis
    Time period covered
    Jan 1, 2021
    Description

    Within analytical chemistry, chemical instruments involve numerous interconnected parts working cohesively towards a specific functionality. However, these highly complex mechanisms cannot be fully depicted with a 2-dimensional textbook model or image, leading to confusion or misconceptions during the learning process. To address this comprehension gap, an array of chemical instrument components have been designed and fabricated with 3D printing to create a hands-on learning experience. The models developed were created in interlocking parts to allow disassembly and investigation of the inner workings of each instrument component. This work produced a series of teaching aids and dynamic models for common instruments including a quadrupole, quadrupole-ion-trap, orbitrap, FTICR mass spectrometer; a GC injection port, FID, and ECD detectors; an HPLC injector; an ICP torch and nebulizer; a Michaelson interferometer; a basic monochromator; and a shatterbox sample preparation device. These mo..., 5 Datasets are included: (1) - 3D models of analytical instruments. These were generated in either Solidworks or OnShape CAD software and are included as .stl files for cross-system utilization. (2) - LabVIEW programs for monochromator and Fourier Transform simulations. Source code is included (.llb), as well as an installer and executable versions. (3) - *.mp4 video files of mass spectrometry simulations. (4) - Assembly Instructions for provided STL files for 3D printing (Assembly Guide.docx). (5) - Student Survey - PDF of student survey results demonstrated in the manuscript.,

  7. z

    Dataset for article (Study of 3D-Printing Process: Optimization, Quality...

    • zenodo.org
    bin, txt
    Updated Jun 6, 2025
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    Adam Boleslavský; Hana Ovčáčíková; Milan Mihola; Aki Mikkola; Michaela Topinková; Zdenko Bobovský; Adam Boleslavský; Hana Ovčáčíková; Milan Mihola; Aki Mikkola; Michaela Topinková; Zdenko Bobovský (2025). Dataset for article (Study of 3D-Printing Process: Optimization, Quality Analysis, and Comparison of Properties for 3D-Print-Molded versus Cast-Molded Ceramics) [Dataset]. http://doi.org/10.5281/zenodo.14161699
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    bin, txtAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset provided by
    Elsevier - Additive Manufacturing Letters
    Authors
    Adam Boleslavský; Hana Ovčáčíková; Milan Mihola; Aki Mikkola; Michaela Topinková; Zdenko Bobovský; Adam Boleslavský; Hana Ovčáčíková; Milan Mihola; Aki Mikkola; Michaela Topinková; Zdenko Bobovský
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 14, 2024
    Description

    Original data for article (Study of 3D-Printing Process: Optimization, Quality Analysis, and Comparison of Properties for 3D-Print-Molded versus Cast-Molded Ceramics)

  8. f

    Feasibility study on thermo‐mechanical performance of 3D printed and...

    • figshare.com
    xlsx
    Updated Mar 2, 2024
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    Brailson Mansingh Bright; Joseph Selvi Binoj; Shukur Abu Hassan; Wai Leong Eugene Wong; Heru Suryanto; Shengjie Liu; Kheng Lim Goh (2024). Feasibility study on thermo‐mechanical performance of 3D printed and annealed coir fiber powder/polylactic acid eco‐friendly biocomposites: Dataset [Dataset]. http://doi.org/10.1002/pc.28214
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Mar 2, 2024
    Dataset provided by
    figshare
    Authors
    Brailson Mansingh Bright; Joseph Selvi Binoj; Shukur Abu Hassan; Wai Leong Eugene Wong; Heru Suryanto; Shengjie Liu; Kheng Lim Goh
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This repository contains the raw data of the mechanical test (Tensile, Bending/Flexural), FTIR, TGA and XRD, derived from a study on 'Feasibility study on thermo‐mechanical performance of 3D printed and annealed coir fiber powder/polylactic acid eco‐friendly biocomposite', published in Polymer Composites, 2024, pp1–13, DOI: 10.1002/pc.28214, in 2024.Contact Corresponding Author: Joseph Selvi Binoj, Institute of Mechanical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 602105, Tamil Nadu, India. Email: binojlaxman@gmail.comOr Author of this repostory: Kheng Lim Goh, Newcastle University, at Email: Kheng-lim.goh@ncl.ac.uk

  9. 3D Printer Market Analysis North America, Europe, APAC, South America,...

    • technavio.com
    Updated Mar 10, 2025
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    Technavio (2025). 3D Printer Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Germany, China, UK, Canada, Japan, South Korea, France, Italy, The Netherlands - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/3d-printer-market-industry-analysis
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    3D Printer Market Size 2025-2029

    The 3D printer market size is forecast to increase by USD 280.8 billion at a CAGR of 50.8% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increase in consumer demand for customized products and the expanding applications in various industries. Industrial printing, particularly in sectors such as automotive, aerospace, and healthcare, is witnessing a shift towards additive manufacturing due to its ability to produce complex components with minimal tooling requirements. New materials, including ceramics and acrylonitrile butadiene styrene (ABS), are being explored for their unique properties, expanding the market's scope. Moreover, the market is witnessing a rise in the adoption of 3D printing technology in consumer electronics, jewelry, printed electronics, and diodes. The production of medical devices, textiles, valves, and other intricate components is also gaining traction.
    

    What will be the Size of the 3D Printer Market During the Forecast Period?

    Request Free Sample

    The 3D printing market encompasses the production and application of 3D printing technologies, primarily focused on layer-by-layer addition of materials based on three-dimensional files. This market has gained significant traction across various industry verticals, including healthcare, automotive, and consumer goods, due to its ability to produce complex geometries and prototypes with minimal process downtime. Traditional manufacturing processes, such as injection molding and CNC machining, face increasing competition from 3D printing in areas like rapid prototyping and the production of customized parts. 3D printing is revolutionizing industries, particularly in medical devices, where it enables the creation of intricate designs and customized solutions.
    The market's growth is driven by the adoption of standard process controls, safety and quality measures, and the increasing use of mixed materials, such as ceramics and composites, in 3D printing. The integration of 3D printing technologies with circuit boards and other advanced materials continues to expand its applications, further solidifying its role in manufacturing processes.
    

    How is this 3D Printer Industry segmented and which is the largest segment?

    The 3D printer industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Product
    
      Industrial 3D printer
      Desktop 3D printer
    
    
    Technology
    
      Fused deposition modeling
      Selective laser sintering
      Stereolithography
      Others
    
    
    Material
    
      Polymer
      Metal and ceramic
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
        France
        Italy
    
    
      APAC
    
        China
        Japan
        South Korea
    
    
      South America
    
    
    
      Middle East and Africa
    

    By Product Insights

    The industrial 3D printer segment is estimated to witness significant growth during the forecast period.
    

    The market is experiencing significant growth due to the increasing adoption of additive manufacturing technologies in various industries. Industrial 3D printers hold the largest market share, driven by their application in prototyping, tooling, and manufacturing complex components in sectors like aerospace, automotive, and healthcare. In aerospace, 3D printing is revolutionizing the industry by enabling the production of intricate parts such as jet engines, injectors, and valves, which are challenging to manufacture using traditional methods. This technology's benefits, including rapid prototyping, customization, and reduced production expenses, are fueling its demand in industries requiring high precision, durability, and low-cost solutions.

    Get a glance at the market report of share of various segments Request Free Sample

    The industrial 3D printer segment was valued at USD 15.65 billion in 2019 and showed a gradual increase during the forecast period.

    Regional Analysis

    Europe is estimated to contribute 42% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market size of various regions, Request Free Sample

    The 3D printing market in North America is experiencing significant growth due to increased government investments and expanding applications in industries such as aerospace and defense, consumer electronics, and healthcare. The region's high potential for additive manufacturing has attracted market participants to form strategic partnerships and establish production facilities for cost-effective metal component production. The healthcare sector's demand for customized medical devices and the automotive industry's need for proto

  10. Market Survey on 3D Printed Prosthetics Market Covering Sales Outlook,...

    • futuremarketinsights.com
    pdf
    Updated Dec 8, 2022
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    Future Market Insights (2022). Market Survey on 3D Printed Prosthetics Market Covering Sales Outlook, Up-to-date Key Trends, Market Size and Forecast, Per Capita Expenditure, Company Share, Brand Share, Regulations, Reimbursement Scenario, Epidemiology, Procedure Numbers, and Pipeline Assessment 2023 to 2033 [Dataset]. https://www.futuremarketinsights.com/reports/3d-printed-prosthetics-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Dec 8, 2022
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2023 - 2033
    Area covered
    Worldwide
    Description

    The global 3D printed prosthetics market will most likely garner a market value of US$ 1.62 Billion in 2023 and is expected to accumulate a market value of US$ 3.50 Billion by registering a CAGR of 8% in the forecast period 2023 to 2033. Growth of the 3D printed prosthetics market can be attributed to the increasing emphasis of market players on manufacturing 3D printed prosthetics. The market for 3D-printed prosthetics registered a CAGR of 5% in the historical period 2018 to 2022.

    Report AttributeDetails
    Expected Market Value (2023)US$ 1.62 Billion
    Anticipated Forecast Value (2033)US$ 3.50 Billion
    Projected Growth Rate (2023 to 2033)8% CAGR

    Report Scope

    Report AttributeDetails
    Market Value in 2023US$ 1.62 Billion
    Market Value in 2033US$ 3.50 Billion
    Growth RateCAGR of 8% from 2023 to 2033
    Base Year for Estimation2022
    Historical Data2018 to 2022
    Forecast Period2023 to 2033
    Quantitative UnitsRevenue in USD Billion and CAGR from 2023 to 2033
    Report CoverageRevenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
    Segments Covered
    • Type
    • Material
    • End Use
    • Region
    Regions Covered
    • North America
    • Latin America
    • Europe
    • South Asia
    • East Asia
    • Oceania
    • Middle East and Africa(MEA)
    Key Countries Profiled
    • USA
    • Canada
    • Brazil
    • Mexico
    • Germany
    • United Kingdom
    • France
    • Spain
    • Italy
    • India
    • Malaysia
    • Singapore
    • Thailand
    • China
    • Japan
    • South Korea
    • Australia
    • New Zealand
    • GCC Countries
    • South Africa
    Key Companies Profiled
    • 3D Systems Corporation
    • EnvisionTEC
    • Stratasys Ltd.
    • Bionicohand
    • YouBionic
    • UNYQ
    • Mecuris
    • LimbForge, Inc.
    • Open Bionics
    • Create Prosthetics
    • Bio3D Technologies
    • A.R.C Laser GmbH
    • Prodways Group
    • Prosthetics
    • 3T RPD Ltd.
    • Formlabs
    CustomizationAvailable Upon Request
  11. S

    SLA 3D Printer Report

    • promarketreports.com
    doc, pdf, ppt
    Updated May 12, 2025
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    Pro Market Reports (2025). SLA 3D Printer Report [Dataset]. https://www.promarketreports.com/reports/sla-3d-printer-148911
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Stereolithography (SLA) 3D printer market is experiencing robust growth, driven by increasing adoption across diverse sectors. While the provided data states a 2025 market size of $348 million, the precise CAGR is missing. However, considering the rapid technological advancements in additive manufacturing and the expanding applications of SLA 3D printing in industries like automotive, medical, and dental, a conservative estimate of a 15% CAGR (Compound Annual Growth Rate) between 2025 and 2033 appears reasonable. This would project the market to reach approximately $1.5 billion by 2033. Key drivers include the rising demand for customized products, prototyping needs across various industries, and the increasing affordability and accessibility of SLA 3D printers. The market is segmented by resolution (normal, high, micro) and application (automotive, medical, dental, construction, electronics, and others), with high-resolution printers and medical applications currently commanding significant market share. Further market penetration is anticipated in emerging economies fueled by infrastructure development and technological advancements. The competitive landscape is characterized by a mix of established players like 3D Systems, Formlabs, and Konica Minolta, alongside emerging companies such as Feiyang Group and Shenzhen KINGS 3D Printing Technology. The ongoing innovations in resin materials, printer technology, and post-processing techniques are expected to further accelerate market growth. Restraints, however, include the high initial investment cost of SLA 3D printers and the need for skilled operators. Despite these challenges, the market's potential remains significant, with continued growth anticipated across diverse geographical regions, particularly in North America and Asia Pacific. Further market segmentation by region would allow for a more granular understanding of growth potential within specific markets. This report provides a detailed analysis of the global SLA 3D printer market, projecting a market value exceeding $2.5 billion by 2028. It delves into key market trends, competitive landscapes, and future growth potential, incorporating data from leading manufacturers like Formlabs, 3D Systems, and Nexa3D, amongst others. This in-depth study is essential for businesses looking to invest in, or understand, this rapidly evolving sector.

  12. m

    Data from Characterization and Risk Assessment of Nanoparticle Emissions...

    • data.mendeley.com
    • portalinvestigacion.uniovi.es
    Updated Sep 18, 2024
    + more versions
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    Maidá Domat Rodríguez (2024). Data from Characterization and Risk Assessment of Nanoparticle Emissions from 3D Printing with PLA+GO Filament: A Pilot Study According to European Standards [Dataset]. http://doi.org/10.17632/jmrv4t94mj.2
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    Dataset updated
    Sep 18, 2024
    Authors
    Maidá Domat Rodríguez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data from aerosol sampling devices such as Aerosol Particle Sizer APS (APS 3321-TSI), Condensation Particle Counters (CPC 3786-TSI, P-TRAK 8525-TSI) and Cascade Impactor SKC Sioutas for the measurement of particles and nanoparticles released to the environment when using a 3D printer with PLA opped with Graphene Oxide as filament, as well as the results from the ARIMA test performed on them. Each sheet from the dataset is named after the Figure from the article that uses this data.

  13. Underlying Data: 500 Days of Thingiverse: A Longitudinal Study of 30 Popular...

    • figshare.com
    txt
    Updated May 31, 2023
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    James Novak (2023). Underlying Data: 500 Days of Thingiverse: A Longitudinal Study of 30 Popular Things [Dataset]. http://doi.org/10.6084/m9.figshare.12319985.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    James Novak
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the underlying data supporting a study titled "500 Days of Thingiverse: A Longitudinal Study of 30 Popular Things for 3D Printing" [published in the Rapid Prototyping Journal https://doi.org/10.1108/RPJ-01-2020-0021]

    Data was collected for 30 of the most popular things on Thingiverse at 5 intervals: 26th August 2018, 3rd January 2019 (130 days), 10th May 2019 (127 days), 13th November 2019 (187 days) and 7th January 2019 (56 days). At each interval, the number of views, downloads, likes, makes, comments and remixes for each thing were recorded. Additional metrics were calculated incorporating the initial upload date of each thing to show trends over the lifetime of a thing, and the total number of things on Thingiverse was also recorded to provide context.This data builds upon the initial data set published in http://doi:10.4018/978-1-5225-8491-9.ch012

  14. 3D printing industry - worldwide market size 2020-2026

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). 3D printing industry - worldwide market size 2020-2026 [Dataset]. https://www.statista.com/statistics/315386/global-market-for-3d-printers/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    The worldwide market for 3D printing products and services was valued at around **** billion U.S. dollars in 2020. The industry is expected to grow at a compound annual growth rate of some ** percent between 2020 and 2023. General Electric has the most 3D printing patents in the United States. Utilization of materials in 3D printing 3D printing is able to utilize many materials for a wide range of applications. New materials and applications continue to be developed on a rapid basis. These new applications are likely to enter a wide range of industries. Fast-growing 3DP materials Among the fastest-growing services for a specific material type are metals and metal alloys. Metal 3D printing technology is relatively young but many major breakthroughs take place every year. Printing metals are generally more expensive, such as copper, for example; metals use heavier and more precious materials. This application is generally a slower process and the machinery itself is more expensive. As more businesses begin to have their own printers, printing software will grow faster than printing services.

  15. r

    Data for: An iterative approach to determine the refractive index of 3D...

    • researchdata.se
    Updated Jul 8, 2024
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    Pererik Andreasson (2024). Data for: An iterative approach to determine the refractive index of 3D printed 60GHz PLA lenses [Dataset]. http://doi.org/10.5878/s25w-jm75
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    Dataset updated
    Jul 8, 2024
    Dataset provided by
    Halmstad University
    Authors
    Pererik Andreasson
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    This study is a part of the research project eMC-Hammer. It describes an iterative approach to determine quasi-optical properties of standard 3D printer filament material to, in an inexpensive and fast way, construct focusing lenses for millimetre wave systems. Results from three lenses with different focal lengths are shown and discussed. The real part of the permittivity at 60GHz for polylactic acid (PLA) is in this paper determined to be er=2.74.

    Purpose:

    The purpose with the study is to validate an iterative, low cost, method of determining the refractive index of 3D printed lenses, where otherwise expensive equipment would be needed, such as S-parameter measurements using a vector network analyzer.

    The dataset contains measurements, simulation results and matlab code used for the conference article "An iterative approach to determine the refractive index of 3D printed 60GHz PLA lenses" (doi:10.1049/cp.2018.1480) See the conference article (methods) and lapc2018mainfigure.m (data description - meta data) for details.

  16. Data from: Pulmonary evaluation of whole-body inhalation exposure of...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    Updated Nov 20, 2024
    + more versions
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    Centers for Disease Control and Prevention (2024). Pulmonary evaluation of whole-body inhalation exposure of polycarbonate (PC) filament 3D printer emissions in rats [Dataset]. https://data.virginia.gov/dataset/pulmonary-evaluation-of-whole-body-inhalation-exposure-of-polycarbonate-pc-filament-3d-printer-
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    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    Additive manufacturing (AM) is a broad manufacturing term that encompasses a range of processes that create objects by adding material through a computer-aided design model. Three-dimensional (3D) printing is a form of AM, which builds objects layer-by-layer deposition of feedstock material using a 3D printer machine and computer software. Fused filament fabrication (FFF, also known as Filament Freeform Fabrication) is one 3D printing process in which filaments are melted and extruded from a heated nozzle to deposit material. FFF is an emerging technology and one of the most popular additive manufacturing processes, especially for consumers and small manufacturers. Polycarbonate (PC) is a versatile material and PC filaments are widely used for fused filament fabrication 3D printing. PC filaments are often loaded with additives to achieve different properties of the print objects. These additives range from dyes, organometallic compounds, carbon nanomaterials, nanometal oxides to micrometer-scale particles such as copper, bronze, steel, tungsten, gold, and aluminum nitride (Vance et al., 2017). Several engineered nanomaterials were infused into PC filaments, such as silicon dioxide nanoparticles, titanium nitride nanoparticles (Vidakis et al., 2021), titanium carbide nanopowder (Vidakis et al., 2022a), aluminum nitride nanoparticles (Vidakis et al., 2022b), and carbon nanotubes (Potter et al., 2021).

    During heating, PC filament undergoes thermal degradation and releases fine particles (0.1 to 2.5 um) and incidental nanoparticles (d < 100 nm) as well as numerous volatile, and semi-volatile organic compounds that are likely derived from PC polymer and additives in the polymer (Azimi et al., 2016; Byrley et al., 2020; Gu et al., 2019; Stefaniak et al., 2017; Stefaniak et al., 2019; Alijagic et al., 2022; Tedla et al., 2022). These emissions could pose a potential hazard to human health. Currently, the potential health hazard of PC filament printing emissions has not been determined.

    A NIOSH research group used a condensation nuclei counter to study PC filament emission rates, and determined that the number-based particle emission rates from an industrial-scale material extrusion AM machine were around 2.2 x1011 number/minute and the total volatile organic compound emission rates were around 1.9 x 104 µg/minute (Stefaniak et al., 2019). The same group also found low levels of acetone, benzene, toluene, and m,p-xylene during PC filament printing processes. Potter et al showed that PC filament emissions contained bisphenol A (BPA), phenol, chlorobenzene, DEHP, and di-tert-butylphenol (Potter et al., 2019). In our previous studies on PC filament printer emission-induced cell toxicity (Farcas et al., 2019), emissions from a commercial PC 3D printer were generated in a chamber using a 3D printer and collected in cell culture medium. The number-based size distribution of the particles inside the chamber was between 140-170 nm and the mean particle sizes in cell culture medium were 201±18 nm. Analysis of elemental composition of particles collected in the cell culture medium found C, O, Ca, Na, Si, Ni, Cr, Fe, S, Al, and Cl. The organic compounds in the emission collection cell culture medium were BPA, p-isopropenylphenol, and phenol. At 24 h post-exposure, PC emissions were internalized in human small airway epithelial cells (SAEC) and induced a dose-dependent cytotoxicity, oxidative stress, apoptosis, necrosis, and increases in pro-inflammatory cytokine and chemokine production in SAEC (Farcas et al., 2019). The results demonstrated that PC filament 3D printing emissions induce a cellular toxicity in SAEC.

    Although cell-based in vitro toxicity analysis is increasingly applied to screen and rank chemicals for prioritizing toxicity studies, as well as to study toxic mechanisms, the toxicological significance of in vitro study-generated data in hazard and risk assessment is limited. In comparison with animal-based in

  17. d

    Data from: 3D printing of functional hydrogel devices for screenings of...

    • search.dataone.org
    • datadryad.org
    Updated Dec 7, 2024
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    Isabel Arias Ponce; Rahul Sujanani; Joshua D Moon; Juan Manuel Uruena; Craig Hawker; Rachel Segalman (2024). 3D printing of functional hydrogel devices for screenings of membrane permeability and selectivity [Dataset]. http://doi.org/10.5061/dryad.ht76hdrr2
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    Dataset updated
    Dec 7, 2024
    Dataset provided by
    Dryad Digital Repository
    Authors
    Isabel Arias Ponce; Rahul Sujanani; Joshua D Moon; Juan Manuel Uruena; Craig Hawker; Rachel Segalman
    Description

    This dataset accompanies the article "3D printing of functional hydrogel devices for screenings of membrane permeability and selectivity" by Isabel Arias Ponce, Rahul Sujanani, Joshua D. Moon, Juan Manuel Urueña, Craig Hawker, and Rachel Segalman in ACS Applied Polymer Materials. The article demonstrates the fabrication of a 3D printed millifluidic device for ligand permeability and selectivity measurements towards water separations. This dataset contains FT-IR data for ligand functionalized and non-functionalized samples, conductivity data and salt concentration data for the 3D printed device and permeation cell membrane samples, salt permeability data for both monovalent and divalent salt species at varying ligand densities, salt selectivity data at varying ligand concentrations, and conductivity calibration curves for all probes and salt species used in this study., , , This README.txt file was generated on 2024-07-01 by ISABEL F ARIAS PONCE

    GENERAL INFORMATION

    Title of Dataset: 3D printing of functional hydrogel devices for screenings of membrane permeability and selectivity Author Information

    A. Principal Investigator Contact Information Name: Craig Hawker Institution: University of California, Santa Barbara Address: Materials Department, University of California Santa Barbara, Santa Barbara, California 93106-5050, United States; Department of Chemistry & Biochemistry, University of California Santa Barbara, Santa Barbara, California 93106-9510, United States; Materials Research Laboratory, University of California Santa Barbara, Santa Barbara, California 93106-5121, United States Email: hawker@mrl.ucsb.edu

    Name: Rachel Segalman Institution: University of California, Santa Barbara Address: Materials Department, University of California Santa Barbara, Santa Barbara, California 93106-5050, United States; Departm...

  18. h

    Supporting data for “Implementation of 3D printing in photon, electron...

    • datahub.hku.hk
    zip
    Updated Jul 7, 2024
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    Wan Yan Lee (2024). Supporting data for “Implementation of 3D printing in photon, electron radiotherapy and brachytherapy” [Dataset]. http://doi.org/10.25442/hku.23626611.v1
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    zipAvailable download formats
    Dataset updated
    Jul 7, 2024
    Dataset provided by
    HKU Data Repository
    Authors
    Wan Yan Lee
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    There are three datasets in excel format are included in the main folder. Each excel file named with the chapter number, which means the data used for analysis in the study of that chapter of thesis. For the chapter 3 dataset, it contains the dosimetric data for 10 cervix and endometrium cancer recurrent patients for using redesign 3D printed applicator and orginial applicator for brachytherapy treatment. The data contains the radiation dose to tumor and organs at risk when using the 3D printed applicator and orginial applicator. For the chapter 4 dataset, it contains the dosimetric data for 27 left breast cancer patients using electron boost after lumpectomy, the data included the radiation dose to tumor and organs at risk of patients using 3D printed modulated electron bolus and without bolus. This study is published in the journal of medical dosimetry and I have added to the related materials below. For the chapter 5 dataset, it contains the dosimetric data for 20 breast cancer patients underwent lumpectomy using simultaneous integrated boost, the datad included the radiation dose to tumor and organs at risk of patients using dental wax and 3D printed bolus as bolus.

  19. M

    Metal Casting 3D Printers Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Jun 3, 2025
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    Pro Market Reports (2025). Metal Casting 3D Printers Report [Dataset]. https://www.promarketreports.com/reports/metal-casting-3d-printers-236134
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for metal casting 3D printers is experiencing robust growth, driven by increasing adoption across various industries, including aerospace, automotive, and medical. The market's expansion is fueled by the technology's ability to produce complex geometries, reduce lead times, and minimize material waste compared to traditional casting methods. While precise market size data for 2025 is unavailable, a logical estimation, considering typical growth rates in the additive manufacturing sector and the reported study period of 2019-2033, suggests a market valuation of approximately $2.5 billion in 2025. Assuming a conservative Compound Annual Growth Rate (CAGR) of 15% throughout the forecast period (2025-2033), the market is projected to reach a significant size by 2033. This growth trajectory is further supported by continuous technological advancements, such as the development of new materials and processes, enhancing the precision, speed, and cost-effectiveness of metal casting 3D printing. Several factors contribute to this expansion. Key drivers include the increasing demand for customized and lightweight components, advancements in software and automation, and the growing adoption of additive manufacturing across various sectors. However, challenges remain, including the relatively high cost of equipment and materials, skill gaps in operating the technology, and the need for further standardization in materials and processes. Leading players in the market, such as EOS GmbH, GE Additive, and SLM Solutions, are actively addressing these challenges through continuous innovation and strategic partnerships, contributing to the overall market's healthy growth prospects. The segmentation within the market is likely diverse, encompassing various printer types, materials used, and end-use applications. This report provides a comprehensive analysis of the global metal casting 3D printing market, projected to reach $2.5 billion by 2028. It delves into market dynamics, key players, technological advancements, and future growth projections, offering invaluable insights for industry stakeholders. This in-depth study incorporates rigorous data analysis, expert interviews, and competitive benchmarking to deliver a nuanced understanding of this rapidly evolving sector.

  20. g

    Use of 3D-printer by purpose and study domain. Share of enterprises. Year...

    • gimi9.com
    Updated Nov 30, 2018
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    (2018). Use of 3D-printer by purpose and study domain. Share of enterprises. Year 2017 - 2019 | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-statistikdatabasen-scb-se-dataset-tab4478/
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    Dataset updated
    Nov 30, 2018
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    🇸🇪 스웨덴

Share
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Cheng-Hao Chou; Cheng-Hao Chou; Chinedum Okwudire; Chinedum Okwudire (2024). Federated learning dataset: A case study of vibration analysis for desktop 3D printers [Dataset]. http://doi.org/10.5281/zenodo.5747732
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Federated learning dataset: A case study of vibration analysis for desktop 3D printers

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zipAvailable download formats
Dataset updated
Jul 17, 2024
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Cheng-Hao Chou; Cheng-Hao Chou; Chinedum Okwudire; Chinedum Okwudire
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This dataset contains the acceleration data collected from six low-cost 3D printers (same make and model) air-printing cubes with different printing speeds. This dataset can be used as a case study for federated learning, personalized learning, etc.

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