Augmented CAD for Quality assessment
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This document discusses augmented CAD for quality assessment research conducted by Thu Huong Luu at Fraunhofer IGD. The research focuses on variance analysis between 3D scans and CAD models, extracting product and manufacturing information from CAD models, and using CAD constraints to automatically measure structures in 3D scans for quality control without manual programming. The goal is to enable automatic quality assessment to replace manual quality control.
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The document describes a reliable and robust wireless communication service for mobile industrial applications. The service provides highly reliable communication between a controller/dual-arm robot and a mobile robotic platform. It integrates into the reference architecture and involves developing communication nodes to enable redundant and multipath TCP-based wireless communication solutions. A demonstration shows the verification applications and experiments the performance of the service with and without deployment in scenarios involving connectivity between robots. The conclusions discuss how the service provides added value through robustness, autonomy, reduced waiting times and easier reconfiguration.
AUTOWARE Neutral Facilities: Reconfigurable Robot Workcell
The document describes a neutral robotic workcell called ReconCell being developed by Jožef Stefan Institute. It addresses both hardware reconfigurability and software challenges to offer a workcell that can be nearly automatically reconfigured to execute new assembly tasks. The workcell integrates technologies like simulation, vision, force control, and kinesthetic teaching. It follows the AUTOWARE architecture and ROS software. Future work includes developing advanced robotics solutions, integrating cloud/ML services, and demonstrating reference solutions like visual quality control.
The AUTOWARE Ecosystem
AUTOWARE will establish and push forward an open CPPS ecosystem, allowing SMEs to access all the different components in order to develop digital automation cognitive solutions for their manufacturing processes.
AUTOWARE high-level objective is to build an open consolidated ecosystem and single community that will lower the barriers of SMEs for cognitive automation application development and application of autonomous manufacturing processes.
The AUTOWARE project
The AUTOWARE project is funded by the EU Framework Programme for Research and Innovation Horizon 2020. The project aims to push forward an open CPPS ecosystem, allowing SMEs to develop digital automation cognitive solutions.
AUTOWARE will connect several initiatives for strengthening the European SME offer on cognitive autonomous products. It will help manufacturing companies to innovate their business model by implementing novel technologies and digitising their processes.
These slides presents an overview of the project, such as the project's objectives, target users, partners, technology developed, etc. Check this out to learn more about the project.
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UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
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What will you get from this session?
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HCL Notes and Domino License Cost Reduction in the World of DLAU
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Augmented CAD for Quality assessment
- 1. © Fraunhofer IGD AUGMENTED CAD FOR QUALITY ASSESSMENT M.Sc Thu Huong Luu Fraunhofer IGD / TU Darmstadt Fraunhoferstraße 5 64283 Darmstadt Tel.: +49 (0) 6151 155 – 467 E-Mail: thu.huong.luu@igd.fraunhofer.de www.igd.fraunhofer.de
- 2. © Fraunhofer IGD Variance analyses with scan data Registration of 3D scan to CAD Difference measure VARIANCE ANALYSES Fraunhofer IGD, Darmstadt CAD 3D Scan Difference • Scan to CAD • CAD to Scan
- 3. © Fraunhofer IGD PMI extraction Part-Level PMI Data Assembly-Level PMI Data Datum Dimension Note PMI EXTRACTION Fraunhofer IGD, Darmstadt
- 4. © Fraunhofer IGD 3D distance measurement for quality control APPLICATION EXAMPLE Fraunhofer IGD, Darmstadt CAD CAD
- 5. © Fraunhofer IGD 3D distance measurement for quality control PMI extraction + variance analyses Measurements based on dimensionality constraints given in a CAD Model APPLICATION EXAMPLE Fraunhofer IGD, Darmstadt CAD
- 6. © Fraunhofer IGD 3D distance measurement for quality control PMI extraction + variance analyses Measurements based on dimensionality constraints given in a CAD Model Automatically determine compatible structures from scan to measure in-between APPLICATION EXAMPLE Fraunhofer IGD, Darmstadt
- 7. © Fraunhofer IGD APPLICATION EXAMPLE Fraunhofer IGD, Darmstadt Darmstadt, 16.02.2018 – Thu Huong Luu Import Annotations & Geometry (Primitives) Registration CAD Model Scan Filter & Down Sampling Segmentation (Primitives) MeasurementMapping Sampling 3D distance measurement for quality control PMI extraction + variance analyses Measurements based on dimensionality constraints given in a CAD Model Automatically determine compatible structures from scan to measure in- between
- 8. © Fraunhofer IGD APPLICATION EXAMPLE Fraunhofer IGD, Darmstadt 3D distance measurement for quality control PMI extraction + variance analyses Measurements based on dimensionality constraints given in a CAD Model Automatically determine compatible structures from scan to measure in-between Advantages Automatic instead of manual control No programming of measurement system
- 9. © Fraunhofer IGD M.Sc Thu Huong Luu Fraunhofer IGD / TU Darmstadt Fraunhoferstraße 5 64283 Darmstadt Tel.: +49 (0) 6151 155 – 467 E-Mail: thu.huong.luu@igd.fraunhofer.de www.igd.fraunhofer.de
Editor's Notes
- Visualization of the differences between the scan and a sampled CAD model. Original CAD model (left), 3D scan (center) and difference visualization (right)
- linked to one or more elements in the model's BREP Datum: Datum annotation information Dimension: measurable feature of the model Note: way to communicate unstructured information in a model (several text elements)
- linked to one or more elements in the model's BREP Datum: Datum annotation information Dimension: measurable feature of the model Note: way to communicate unstructured information in a model (several text elements)
- linked to one or more elements in the model's BREP Datum: Datum annotation information Dimension: measurable feature of the model Note: way to communicate unstructured information in a model (several text elements)
- Vorteile Automatische Vermessung anstatt manueller Vermessung Keine (aufwendige) Programmierung von Vermessungssystemen