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MABSMABS
SERVICESHOPSCAN

Licencias de código abierto

Este servicio se apoya en los siguientes proyectos de código abierto. Agradecemos a sus autores y comunidades.

OrcaSlicer

OrcaSlicer es un generador de G-code para impresoras 3D, utilizado por este servicio para laminar los modelos subidos y calcular los parámetros de impresión.

Gmsh

Gmsh es un generador de mallas de elementos finitos utilizado para convertir archivos CAD STEP/STP en mallas STL para impresión 3D.

  • Licencia: GNU General Public License v2+ (GPL-2.0-or-later)
  • Código fuente: gmsh.info
  • Cita: C. Geuzaine and J.-F. Remacle, “Gmsh: a three-dimensional finite element mesh generator with built-in pre- and post-processing facilities”, International Journal for Numerical Methods in Engineering, 79(11), pp. 1309–1331, 2009.

Three.js

Three.js es una biblioteca 3D de JavaScript utilizada para renderizar la previsualización interactiva del modelo en su navegador.

PrusaSlicer

PrusaSlicer is a G-code and SL1 generator for 3D printers, used by this service to slice resin (mSLA) models and extract layer data for quoting.

UVtools

UVtools is a tool for MSLA/DLP resin print file analysis, used by this service to validate sliced SL1 output and extract volume data.

Trimesh

Trimesh is a Python library for loading and processing triangular meshes, used by this service for geometric risk assessment and mesh analysis.

fast-simplification

fast-simplification is a mesh decimation library used by this service as the quadric simplification backend for bounded server-side STL reduction on dense meshes.

Open CASCADE Technology (OCCT)

Open CASCADE Technology (OCCT) is an industrial CAD kernel used by this service to heal imported STEP geometry before tessellation and downstream quoting.

  • Licencia: GNU Lesser General Public License v2.1 with OCCT exception
  • Código fuente: dev.opencascade.org

Open3D

Open3D is a 3D data processing library used by this service for bounded mesh repair, cleanup, and simplification in the server-side geometry pipeline.

Manifold

Manifold is a geometry library focused on topological robustness, used by this service to normalise derived slicing meshes when manifold-safe repair is required.

Next.js

Next.js is a React framework for server-rendered web applications, used to build the front-end of this service.

React

React is a JavaScript library for building user interfaces, used as the core UI framework for this service.

  • Licencia: MIT License
  • Código fuente: react.dev

Fastify

Fastify is a high-performance Node.js web framework, used to power the mSLA slicing API.

Flask

Flask is a lightweight Python web framework, used to power the FDM slicing and risk assessment APIs.

NumPy

NumPy is a Python library for numerical computing, used for mesh geometry calculations in the slicing and risk assessment engines.

  • Licencia: BSD 3-Clause License
  • Código fuente: numpy.org

SciPy

SciPy is a Python library for scientific and technical computing, used for spatial analysis in the risk assessment engine.

  • Licencia: BSD 3-Clause License
  • Código fuente: scipy.org

Caddy

Caddy is a web server with automatic HTTPS, used as the reverse proxy and TLS termination layer for this service.

ClamAV

ClamAV is an open-source antivirus engine, used to scan uploaded files for malware before processing.

  • Licencia: GNU General Public License v2 (GPL-2.0)
  • Código fuente: clamav.net

Grafana Loki

Grafana Loki is a log aggregation system (with Promtail as the log shipper), used for centralised logging and diagnostics.

Todas las herramientas mencionadas se invocan como procesos independientes o bibliotecas del lado del cliente y no han sido modificadas. Su código fuente respectivo está disponible en los enlaces anteriores.

Bibliografía de investigación

Nuestros algoritmos automatizados de evaluación de riesgos se basan en las siguientes investigaciones revisadas por pares. Agradecemos a los autores cuyo trabajo sustenta nuestros motores de análisis geométrico.

Evaluación de riesgos SLS

Extracción de polvo, detección de paredes finas, predicción de deformación y puntuación de complejidad de escaneo para Selective Laser Sintering.

  1. Josupeit, S., Ordia, L., & Schmid, H.-J. (2016). “Modelling of Temperatures and Heat Flow within Laser Sintered Part Cakes.” Additive Manufacturing. doi:10.1016/j.addma.2016.06.002

    Utilizado para: warpage risk prediction — position-dependent thermal gradients and height-based cooling risk

  2. Li, J., Yuan, S., Zhu, J., Li, S., & Zhang, W. (2020). “Numerical Model and Experimental Validation for Laser Sinterable Semi-Crystalline Polymer: Shrinkage and Warping.” Polymers, 12, 1373. doi:10.3390/polym12061373

    Utilizado para: warpage risk prediction — cross-section analysis for PA12 shrinkage and crystallization-induced strain

  3. Häfele, T., Schneberger, J.-H., Buchholz, S., Vielhaber, M., & Griebsch, J. (2025). “Evaluation of Productivity in Laser Sintering by Measure and Assessment of Geometrical Complexity.” Rapid Prototyping Journal. doi:10.1108/RPJ-07-2024-0289

    Utilizado para: scan complexity scoring — SA/V ratio and topological genus as proxy for contour/hatch complexity

  4. Tedia, S., & Williams, C. B. (2016). “Manufacturability Analysis Tool for Additive Manufacturing Using Voxel-Based Geometric Modeling.” Proceedings of the 27th Annual International Solid Freeform Fabrication Symposium, Austin, TX. (no DOI assigned — SFF Symposium proceedings paper)

    Utilizado para: depowderability analysis — trapped powder detection via voxel void connectivity

Evaluación de complejidad mSLA (AMCI)

Índice de complejidad de fabricación aditiva adaptado para impresión de resina por estereolitografía enmascarada.

  1. Matoc, D. A., Maheta, N., Kanabar, B. K., & Sata, A. (2025). “Quantifying Manufacturability Complexity Index: A Case Study of VAT Photopolymerization Additive Manufacturing.” 3D Printing and Additive Manufacturing, 12(6), 670–685. doi:10.1089/3dp.2024.0059

    Utilizado para: AMCI complexity scoring — geometry, feature, and manufacturability sub-indices (0–100 scale)

Evaluación de riesgos FDM

Detección de voladizos, análisis de adhesión a la cama, predicción de deformación y puntuación de fragilidad para Fused Deposition Modeling.

  1. Budinoff, H. D., & McMains, S. (2021). “Will It Print: a Manufacturability Toolbox for 3D Printing.” International Journal on Interactive Design and Manufacturing (IJIDeM), 15, 613–630. doi:10.1007/s12008-021-00786-w

    Utilizado para: overhang and warping methodology — face-normal dot product with build direction, cross-section area analysis

  2. Henn, J., Hauptmannl, A., & Gardi, H. A. A. (2025). “Evaluating the Printability of STL Files with ML.” arXiv preprint. doi:10.48550/arXiv.2509.12392

    Utilizado para: FDM risk scoring — ML-based printability evaluation of STL geometry (overhangs, thin walls, bridging, warping)

Fabricabilidad general en AM

Estudios transversales y metaanálisis sobre el análisis automatizado de imprimibilidad.

  1. Parry, L. (software). “PySLM (Python Library for SLM/DMLS/SLS Toolpath Generation).” (no DOI assigned — cite as software/repository)

  2. Adam, G. A. O., & Zimmer, D. (2015). “On Design for Additive Manufacturing: Evaluating Geometrical Limitations.” Rapid Prototyping Journal, 21(6), 662–670. doi:10.1108/RPJ-06-2013-0060

    Utilizado para: design rule thresholds — minimum wall thickness, hole diameter, and overhang angle limits per technology

Licencias de código abierto | Manifattura Additiva Bresciana