MABSMABS
SERVICESCANSHOP

Atvērtā koda licences

Šis pakalpojums izmanto šādus atvērtā koda projektus. Mēs esam pateicīgi to autoriem un kopienām.

OrcaSlicer

OrcaSlicer ir G-code ģenerators 3D printeriem, ko šis pakalpojums izmanto augšupielādēto modeļu griešanai un drukas parametru aprēķināšanai.

Gmsh

Gmsh ir galīgo elementu tīkla ģenerators, kas izmantots STEP/STP CAD failu konvertēšanai uz STL tīkliem 3D drukai.

Three.js

Three.js ir JavaScript 3D bibliotēka, kas izmantota interaktīva modeļa priekšskatījuma renderēšanai Jūsu pārlūkā.

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.

Visi augstāk minētie rīki tiek izsaukti kā atsevišķi procesi vai klienta puses bibliotēkas un nav modificēti. To attiecīgais pirmkods ir pieejams augstāk norādītajās saitēs.

Pētniecības bibliogrāfija

Mūsu automatizētos riska novērtēšanas algoritmus balsta šādi recenzēti pētījumi. Mēs ar pateicību atzīstam autoru darbu, kas ir mūsu ģeometriskās analīzes dzinēju pamatā.

SLS riska novērtējums

Attīrāmība no pulvera, plānu sienu noteikšana, deformācijas prognozēšana un skenēšanas sarežģītības vērtējums Selective Laser Sintering procesam.

  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

    Izmantots: 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

    Izmantots: 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

    Izmantots: 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)

    Izmantots: depowderability analysis — trapped powder detection via voxel void connectivity

mSLA sarežģītības novērtējums (AMCI)

Additive Manufacturing Complexity Index, pielāgots maskētās stereolitogrāfijas sveķu drukai.

  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

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

FDM riska novērtējums

Pārkaru noteikšana, pielipšanas analīze, deformācijas prognozēšana un trausluma vērtējums Fused Deposition Modeling procesam.

  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

    Izmantots: 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

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

Vispārīgā AM ražojamība

Starptehonoloģiju pārskati un metaapskata par automatizētu drukas piemērotības analīzi.

  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

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

Atvērtā koda licences | Manifattura Additiva Bresciana