Questions before the first call

We set the scope for each enquiry. It can cover parameter strategies for the whole toolpath, each with a different temperature target at the same layer height. With it come the adjusted machine file (G‑code), a report with assumptions, model limits and uncertainty, and a plan for your next print. We close with a review of the results with your team.

We prepare the offer individually for each enquiry. It depends mainly on the material and on the measurement data available.

For the first call, a short, non-confidential outline is enough. Depending on the enquiry, the pilot project needs, for example, the machine file (G‑code) from your CAM with toolpath and current parameters. It also needs details on machine, material, wire or powder, setup and required layer height. If available, a measured bead such as a cross-section completes the inputs.

We work with the machine file (G‑code) from your CAM, for wire or powder. We settle in the technical review whether we can read and write back the dialect of your machine control. So far the method has been validated with single-track experiments in pure titanium (CP-Ti). We assess other materials case by case.

Not necessarily. With a measured bead we match the simulation with your process and show the deviation between measured and simulated contour. Without experimental measurements from your machine, the pilot project becomes an exploratory study that shows simulated trends qualitatively.

We claim no rights in your data and use it only to carry out your project. Once paid in full, you hold a right without time limit to use and adapt the results, including the machine file, for your own operations. We use your data and results for anything else, such as training models, only with your consent in text form.

No. It delivers parameters for your next print. Your team checks the machine file, runs the print on its own machine and is responsible for qualification in its own quality system.

A computational mesh that follows the part shape has to be adapted and rebuilt continuously. A fixed mesh, by contrast, has to cover the whole build volume in advance at melt-pool resolution. Our software works mesh-free, with particles that move along with the material, and therefore simulates efficiently in terms of computing time, up to whole parts.

No. The software is a physics-based simulation that models the melt pool without a mesh, with freely moving particles (SPH). With measurements from your machine, we calibrate the simulation to your machine and your material.

Behind Synafloat is Dr. Michael Blank, who earned his doctorate at the Institute of Multiscale Simulation at FAU. The founding was funded by an EXIST start-up grant at the FAPS institute of FAU (09/2025 to 08/2026). Synafloat is a spin-off of FAU and is incubated at the ESA Business Incubation Centre in Bremen.

Not yet. The platform with the same software is in development; you can register for access now.