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Precision in additive manufacturing, optimization and evaluation of the accuracy of 3D printer base on GPS system

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F20%3APU137761" target="_blank" >RIV/00216305:26210/20:PU137761 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Precision in additive manufacturing, optimization and evaluation of the accuracy of 3D printer base on GPS system

  • Original language description

    The additive manufacturing method finds increasing usage in the Industry and replaces many other traditional production methods. It is a significant part of Industry 4.0 due to its remote controllability, rapid production capability, and easily generative-sophisticated production dexterity. In modernized production, manufacturing systems ought to be utilized and integrated with the quality control and assurance which provides to produce properly according to the functional specifications and geometrical specifications of the products at the demanded level by characterized standards and GPS systems. Nowadays, FDM (Fused Deposition Modelling) is the most commonly used and cost-oriented additive manufacturing technique that makes it an obtainable and affordable alternative compared to other additive methods. In light of this information, the scope of this research is to establish a strategic approach to implement the FDM in the advanced manufacturing industry providing intelligent networking systems by data transfer and communication in production design, manufacture, metrology, and quality management systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 31st International DAAAM Virtual Symposium ''Intelligent Manufacturing & Automation''

  • ISBN

    978-3-902734-29-7

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    963-972

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    hostované v Mostaru - virtuální konference

  • Event date

    Oct 21, 2020

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article