MABSMABS
SERVICESCANSHOP

Open-Source-Lizenzen

Dieser Dienst nutzt die folgenden Open-Source-Projekte. Wir danken den Autoren und ihren Communities.

OrcaSlicer

OrcaSlicer ist ein G-code-Generator für 3D-Drucker, der von diesem Dienst zum Slicen hochgeladener Modelle und zur Berechnung von Druckparametern verwendet wird.

Gmsh

Gmsh ist ein Finite-Elemente-Netzgenerator, der zur Konvertierung von STEP/STP-CAD-Dateien in STL-Netze für den 3D-Druck verwendet wird.

Three.js

Three.js ist eine JavaScript-3D-Bibliothek, die zur Darstellung der interaktiven Modellvorschau in Ihrem Browser verwendet wird.

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.

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.

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.

SciPy

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

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.

Grafana Loki

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

Alle oben genannten Tools werden als eigenständige Prozesse oder clientseitige Bibliotheken aufgerufen und nicht modifiziert. Ihr jeweiliger Quellcode ist unter den oben angegebenen Links verfügbar.

Forschungsbibliografie

Unsere automatisierten Risikobewertungsalgorithmen basieren auf den folgenden begutachteten Forschungsarbeiten. Wir danken den Autoren, deren Arbeit unseren geometrischen Analyse-Engines zugrunde liegt.

SLS-Risikobewertung

Entpulverbarkeit, Dünnwanderkennung, Verzugsvorhersage und Scan-Komplexitätsbewertung für 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

    Verwendet für: 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

    Verwendet für: 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

    Verwendet für: 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)

    Verwendet für: depowderability analysis — trapped powder detection via voxel void connectivity

mSLA-Komplexitätsbewertung (AMCI)

Additive Manufacturing Complexity Index, angepasst für den Harzdruck mittels Masked Stereolithography.

  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

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

FDM-Risikobewertung

Überhangserkennung, Haftungsanalyse, Verzugsvorhersage und Fragilitätsbewertung für 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

    Verwendet für: 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

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

Allgemeine AM-Fertigbarkeit

Technologieübergreifende Studien und Meta-Reviews zur automatisierten Druckbarkeitsanalyse.

  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

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

Open-Source-Lizenzen | Manifattura Additiva Bresciana