MABSMABS
SERVICESCANSHOP

Licenças Open-Source

Este serviço depende dos seguintes projetos open-source. Estamos gratos aos seus autores e comunidades.

OrcaSlicer

OrcaSlicer é um gerador de G-code para impressoras 3D, utilizado por este serviço para fatiar modelos carregados e calcular parâmetros de impressão.

Gmsh

Gmsh é um gerador de malha de elementos finitos utilizado para converter ficheiros CAD STEP/STP em malhas STL para impressão 3D.

Three.js

Three.js é uma biblioteca JavaScript 3D utilizada para renderizar a pré-visualização interativa do modelo no seu 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.

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.

Todas as ferramentas acima são invocadas como processos independentes ou bibliotecas do lado do cliente e não são modificadas. O respetivo código-fonte está disponível nos links acima.

Bibliografia de Investigação

Os nossos algoritmos de avaliação de risco automatizada são informados pela seguinte investigação revista por pares. Agradecemos aos autores cujo trabalho sustenta os nossos motores de análise geométrica.

Avaliação de Risco SLS

Capacidade de remoção de pó, deteção de paredes finas, previsão de empeno e pontuação de complexidade de varrimento 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

Avaliação de Complexidade mSLA (AMCI)

Additive Manufacturing Complexity Index adaptado para impressão por resina com estereolitografia mascarada.

  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)

Avaliação de Risco FDM

Deteção de saliências, análise de aderência à base, previsão de deformação e pontuação de fragilidade 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)

Fabrico Aditivo Geral

Levantamentos transversais e meta-revisões sobre análise automatizada de imprimibilidade.

  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

Licenças Open-Source | Manifattura Additiva Bresciana