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METHODOLOGY FOR INTELLIGENT PLASTIC INJECTION POINT LOCATION BASED ON GEOMETRIC ALGORITHMS AND DISCRETE TOPOLOGIES FOR VIRTUAL DIGITAL TWIN ENVIRONMENTS

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JANUARY 2024   -  Volume: 99 -  Pages: 44-50

DOI:

https://doi.org/10.6036/11004

Authors:

CRISTINA MARTIN DOÑATE
-
JORGE MANUEL MERCADO COLMENERO
-
ABELARDO TORRES ALBA

Disciplines:

  • Mechanical Engineering and technology (EQUIPO Y MAQUINARIA INDUSTRIAL )

Downloads:   51

How to cite this paper:  
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Received Date :   6 July 2023

Reviewing Date :   2 October 2023

Accepted Date :   2 November 2023


Key words:
Moldeo por Inyección, Diseño de Productos, Diseño Industrial, Algoritmos Geométricos, Gemelo Digital, Injection Moulding, Product Design, Industrial Design, Geometrical Algorithms, Digital Twin
Article type:
ARTICULO DE INVESTIGACION / RESEARCH ARTICLE
Section:
RESEARCH ARTICLES

Implementing intelligent design models can revolutionize the use of digital twins, which are crucial in product design by incorporating intelligent algorithms. This perspective is especially important for the design of injection-molded plastic parts, a complex process that often requires expert knowledge and costly simulation software not available to all companies. This article presents an innovative methodology for locating injection points in injection-molded parts using intelligent models with geometric algorithms for discrete topologies. The first algorithm calculates the center of mass of the discrete model based on the center of mass of each triangular facet in the system, ensuring uniform molten plastic distribution during mold cavity filling. Two sub-algorithms intelligently evaluate the geometry and optimal injection point location. The first sub-algorithm generates a geometric matrix based on a two-dimensional nodal quadrature adapted to the part's bounding box. The second sub-algorithm projects the nodal matrix and associated circular areas orthogonally on the part's surface along the demolding direction. The optimal injection point location is determined by minimizing the distance to the center of mass from the first algorithm's result. This novel methodology has been validated through rheological simulations in six case studies with complex geometries. The results demonstrate uniform and homogeneous molten plastic distribution with minimal pressure loss during the filling phase. Importantly, this methodology does not require expert intervention, reducing time and costs associated with manual injection mold feed system design. It is also adaptable to various design environments and virtual twin systems, not tied to specific CAD software. The validated results surpass the state of the art, offering an agile alternative for digital twin applications in new product design environments, reducing dependence on experts, facilitating designer training, and ultimately cutting costs
Keywords: Injection Moulding, Product Design, Industrial Design, Geometrical Algorithms, Digital Twin

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