Four Use Cases for Augmented Reality in Design Engineering and Manufacturing

At Hannover Messe, Dassault Systèmes demonstrated four use cases of augmented reality (AR) in the manufacturing space using its DELMIA platform. The system boasts real-time continuity and collaboration between design, engineering, quality and maintenance teams.

Below, you can find each use case and its correlating timecode in the video above. 

Use Case 1: Assembly Assistance

Fast-forward to 0:33 view this demonstration.

Utilizing the 3DEXPERIENCE platform, engineers have access to the CAD model of a product, and by using AR software provided by Diota, can be provided with information and tools needed by the engineer to complete a design task. An intelligent projector system adapted to its surroundings, enabling multiple workers to move around a given area.

Use Case 2: Quality Control

Fast-forward to 2:50 view this demonstration.

A camera system boosted by AR and deep learning guided a human operator in quality inspections based on the product’s virtual twin. As an example, Charles Talopp, DELMIA lab manager at Dassault Systèmes, moved the camera around a workspace. The camera identified anomalies such as a missing cable, incorrect cable connection and misappropriated bracket.

Use Case 3: Maintenance Assistance

Fast-forward to 4:07 view this demonstration.

Information is fed through DELMIA Apriso, a manufacturing operations management (MOM) system and manufacturing execution system (MES), maintenance technicians can gain insight and refer to the Diota project mentioned in use case 1 to perform step-by-step maintenance. In the demo, Talopp removed a module, and the AR camera module tracked it live and repositioned the 3D mockup on top of the physical module. The system also allows for fault reporting via the 3DEXPERIENCE platform. 

Use Case 4: Automated Robotic Inspections

Fast forward to 7:40 view this demonstration.

For the last demonstration of AR, the sensor and camera was integrated into the head of the robot, enabling it to analyze the presence of a part and make a pass at all quality inspection points. The robot provided feedback for all the quality points and logged a report for each, highlighting questionable areas or other faults.

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