Materialise co-am

Quality & Process Control

Prove critical parts can be produced by AM

Transform additive manufacturing (AM) process monitoring and quality data into actionable insights using AI and IIoT connectivity in this secure, collaborative, and open software system. Build confidence in your 3D-printed end-use parts and demonstrate process stability throughout your AM workflow with QPC.

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How to ensure repeatability with QPC

Overcome AM uncertainty with data

Leverage data-driven insights to ensure process acceptance and stability.

Improve R&D economics

Achieve material specifications in a cost-effective manner by optimizing parameter sets, including laser power, spot size, and scan speeds.

Get your process under control

Ensure manufacturing repeatability by tracking and monitoring the accuracy of the production process across repeated experiments.

Identify defects and anomalies

Take advantage of AI-powered Layer Analysis for metal AM, quantify defects, and identify root causes based on correlated data across the process chain.

Instill confidence in AM

An image of nine squares with part ID numbers and the QPC Process Lab dashboard showing different R&D expirment parameters - a gust of wind flows between the dasboard and the parts.

Research

Drive parameter development

Optimize process parameter sets to achieve material specifications and correlate material test lab results with AM process parameters and non-AM data in QPC. Plus, analyze data from third-party reports, machine sensors, and 2D/3D monitoring systems.

An image of an experimental part with multiple cylinders on the surface and another image of two QPC Process Lab dasboards - a gust of wind flows between the cylinders and the dasboards

Validation

Demonstrate process control

Establish process stability for AM processes — and non-AM post-processing — through data-driven experiments. QPC recognizes unknown issues and unstable areas, allowing you to control processes with optimized parameter sets before production.

An image of the QPC dashboard showing different parameters for an EOS 3D printer - a gust of wind is flowing throughout the dashboard

Production

Integrated QA and QC

Automatically flag anomalies, defects, and QA challenges via AI, and configure dashboards with this data for connected equipment. QPC also tracks material batches and machine maintenance digitally to help you execute statistical process control (SPC) and monitor key process variables (KPVs).

An image of a heat map showing the defective area on part, and another image of a 3D design for an AM part - a gust of wind flows throughout the two images

Root cause analysis

Investigate and solve issues

Leverage AI to identify anomalies and quantify defects while collaborating on one platform. Use QPC to correlate data from all sources for faster RCA and configure quality reports by filtering anomalies while emphasizing critical defects.

Integration

Customize your ecosystem

Connect your digital thread with our agnostic CO-AM Software Platform and streamline data across software and hardware vendors for a richer AM experience. Plus, personalize your QPC system to suit your needs and boost AM production.

Explore CO-AM vendors

An image showing the QPC system connecting to different data sources, such as layer, 3D, process, and test data, along with material and equipment & environment information

QPC Layer Analysis

Fail fast and improve AM ROI with Layer Analysis: a module that allows you to auto-detect and quantify defects in 2D layer data and map them to 3D models. Reduce manufacturing costs and identify scrap even earlier in the production chain.

The CO-AM ecosystem

QPC is just one component of the end-to-end CO-AM solution.

Discover the full CO-AM platform

Inspiration

Interested in QPC?

Contact us, and let’s discuss how the QPC system can support your business in delivering repeatable, end-use parts that meet the strictest requirements in the most demanding industries.

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Ottimizza e collega i flussi di lavoro AM all'area di produzione con sistemi aziendali, connettività delle macchine e soluzioni che migliorano la qualità della produzione.

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Collegate le stampanti 3D e le apparecchiature ausiliarie al cloud per monitorare i dati dei sensori in tempo reale con avvisi e garantire la conformità dei parametri di produzione alle specifiche.