Visit us and discover our products at formnext , Hall 12.1 Stand A127 from 19 to 22 November 2023 - Frankfurt - Germany
• We have created a unique AI-based tool that supports 3D printing with high-temperature materials.
• Other 3D printer manufacturers react to problems during the 3D printing process and try to fix them AFTER they have already occurred. They are REACTIVE.
• We predict potential printing problems and solve them BEFORE they appear on the 3D printer. We are PROACTIVE.
Our tool, the predictive AI, is designed for optimizing 3D printing with high-temperature polymers. These materials are high-performance but very demanding during the 3D printing process. They tend to shrink, which leads to warping, deformation, and surface cracking.
We predict and solve these issues at the pre-processing level.
High-performance and high-temperature materials are expensive, with prices exceeding 600 € per kilogram. Every failed 3D print represents a specific financial loss.
With QU PREDICT, you no longer need to worry about this...
Most traditional 3D printing optimization methods involve making real-time adjustments, tweaking parameters during the production process. Although this may sound appealing, and 3D printer users might think that such an approach indicates advanced technology, in reality, it is very unreliable and insufficient.
For high-temperature polymers, even minor warping can lead to print failure.
Our AI-based system uses a proactive approach, performing a detailed analysis of the GCode before starting the 3D printing process, allowing for early identification and correction of potential issues.
The core of our solution is an AI system built on over twelve years of industry experience, with eight years specializing in high-temperature polymers.
This in-depth knowledge is integrated into the AI, which conducts a precise analysis of the GCode, evaluating print parameters, part geometry, and conditions to ensure the best possible results.
One of the key features is the ability to generate a predictive report in just a few minutes.
This report signals potential risks using a graphical 3D viewer (based on Prusa-GCodeViewer) that visually identifies problematic areas of the print.
The report provides the following information:
• Layer Stability: highlights unstable layers in red, indicating the risk of detachment from the build plate.
• Hot Areas: identifies regions prone to overheating.
• Layers with Risk of Error: highlights layers that may encounter issues, such as poor adhesion or improper support.
These detailed visualizations provide clear information, allowing the user to easily understand and correct potential problems.
The AI analyzes several key risks, including:
• Warping Risk: helps minimize deformations by examining the part's geometry and print parameters.
• Support Management: ensures the correct choice and placement of supports for overhanging elements, reducing the chances of damage or print failure.
• Part Stability: checks if the part is properly attached to the build plate and suggests changes to prevent detachment.
• Thermal Energy Accumulation: detects potential hot spots that could lead to material deformation.
Integrating our AI system is extremely simple:
• Just load the STL file, set the parameters, process it in the slicer, and generate the Gcode.
• The AI automatically analyzes the file, generates a report, and offers optimization suggestions.
• This makes the process intuitive and easy to use, both for beginners and experienced users, without the need for specialized software.
Our system is compatible with popular slicers like PrusaSlicer, OrcaSlicer, and SuperSlicer, allowing users to continue working in their favorite environment without the need to invest in dedicated tools.
Upon completion of the analysis, the AI generates a detailed report that includes success predictions, slicer setting recommendations, and specific guidance for each part.
Users can make adjustments on the fly and reanalyze the settings, enabling continuous optimization and improvement of their 3D prints.
Probability of problems during printing: 32%.
High risk (see suggested modifications)
Smaller is better
Geometrical Part Quality
> 98.5% - Excellent
Bigger is better
Part stability
100% - Excellent
Bigger is better
Part adhesion to Bed
100% - No risk
Bigger is better
Warping risk
5% - Very slight risk
Smaller is better
Hot Spot Risk
0% - No risk
Smaller is better
Printing speed
90% - Correct
Bigger is better
Support
Necessary Support = 100%
Soluble Support = 100%
Yes recommended for acceptable part quality
Suggested parameter modifications
Necessary changes in support parameters: Yes
Interface/part contact Z distance: 0.0mm
Interface/part XY separation: 0.0mm
Layers with Risk :
Number of layers with risk: 3
N° of layers with risk: 0035, 0036, 0037
Layer with risk: 0035
Problem detected: Risk of part not adhering to support
Cause : The print area is very small and there is a risk that the material will not adhere to the support.Number of problems on layer 0035: 4
Layer with risk: 0036
Problem detected: Risk of part not adhering to support
Cause : The print area is very small and there is a risk that the material will not adhere to the support.Number of problems on layer 0036: 4
Layer with risk: 0037
Problem detected: Risk of part not adhering to support
Cause: Risk that the lower layers will not be applied
Number of problems on layer 0037: 4
The confidentiality of your data is fully assured. GCode files are analyzed directly on your computer, and only files in JSON format are transmitted to our AI. These files contain no information enabling us to reconstruct the geometry of your part.
Our servers, located in France (Burgundy and Massif Central), guarantee the security and confidentiality of your data. Your data will only be used with your consent to improve the accuracy of our predictions, and will under no circumstances be shared with third parties.
This service will be included at no extra cost with the purchase of our 3D printers. In addition, a paid version will be offered, enabling AI analysis of files on your own servers.
A paid version, enabling AI analysis of files directly on your own servers, will also be available for users of competing 3D printers.
The beta version will be available to all our customers free of charge. Register below to get your access.
For detailed information or to participate in our Beta testing phase, please fill out the form below. You will receive a confirmation email with the link to download the Flyer...
QU-PREDICT Beta is free for existing customers. Contact us to receive information about joining the exclusive testers group.
Your input will help us refine and optimize the system...
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