Description of the technology

3D printing software includes tools used to prepare 3D models for printing, manage print settings, and monitor production progress. The tools enable editing models, dividing them into layers, defining printing parameters, such as speed, layer height, and infill density, and creating printhead movement paths. They can also handle print simulation, problem diagnosis, and fleet management of 3D printers in serial production. This type of software is a key element in the 3D printing process, enabling optimisation of quality and production efficiency.

Mechanism of action

  • The 3D printing software converts the digital 3D model into a set of instructions for the printer (G-code), which determine each head movement, nozzle temperature, extrusion speed, and other process parameters. The programs divide the model into layers and determine the paths of head movement and the positions at which the filament is applied or the material is cured. Modern slicers are equipped with automatic optimisation tools and monitoring functions that enable users to track the status of the print and make corrections in real time, minimising the risk of errors and increasing the efficiency of the production process.

Implementation of the technology

Required resources

  • CAD/CAM software: Tools for creating and editing 3D models.
  • Print management specialists: Individuals with experience in configuration and optimisation of printing processes.
  • Systems to manage a fleet of printers: Platforms that enable remote management, monitoring, and updating of devices.
  • Cloud access: Storage and remote project and print job management services.
  • Diagnostic devices: Equipment for monitoring and analysing print quality in real time.

Required competences

  • CAD design: Ability to create and prepare 3D models for printing.
  • Slicer configuration: Knowledge of printing settings and parameters in various technologies (FDM, SLA).
  • Print process optimisation: Ability to adjust settings to achieve the highest quality and performance.
  • Printer fleet management: Competence in monitoring and synchronisation of multiple printers in a production environment.
  • IT security: Ability to protect project data and secure remotely managed printers.

Environmental aspects

  • Energy consumption: High energy consumption for complex simulations and large printer fleet management systems.
  • Emissions of pollutants: Emissions are limited but present in simulation and large-scale printing processes.
  • Recycling: Limited ability to recycle waste generated by 3D printers.
  • Waste generated: A large amount of unused filaments or residues from failed prints.
  • Raw material management: Difficulties in effective use of materials in experimental printing.

Legal conditions

  • Protection of intellectual property: Regulations for copyright protection of 3D designs, CAD files, and algorithms used in 3D printing software.
  • Software certification regulations: Standards and regulations for software compliance with safety regulations, such as ISO standards for quality management systems.
  • Data security: Regulations for the protection of user data and projects in cloud environments (e.g. GDPR in the EU).
  • Equipment fleet management: Standards for remote monitoring and software updates in the context of IT security.
  • Protection against cyber threats: Regulations for securing software against attacks and unauthorised access to data and devices.

Companies using the technology