Center Projects

Facilitation of such closed loops is the common denominator for the business value of 4.0 Transformation across the manufacturer’s enterprise.  This includes agile product development, real-time production management and a connected customer and product usage lifecycle.  The Internet of Production framework underlines this perspective
Internet-of-Production
Together with the center’s members community, the European 4.0 Transformation Center realizes projects along the Internet of Production in the Demonstration Factory (DFA) on RWTH Aachen Campus.

Example projects

 

Augmented Reality Route Guidance – Real-time navigation on the shopfloor

Having the right material at the right place at a specific time is the core task of intralogistics. Optimized route guidance plays a crucial role to efficiently connect warehouse and place of consumption in order to minimize waste. While experienced employees are rather proficient at finding the shortest route, new employees need more time to find the exact destination of their next delivery, resulting on more frequent misdeliveries. Especially for companies with a high process- and product variance, this poses severe challenges for logistics personnel. A solution that is both intuitive to operate and understandable without language barriers was to be created. (learn more)

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

Smart Digital Twin – Augmented Reality as efficient support for maintenance

The case of an automated warehouse system highlights the potential of digitalized and connected operating resources for production and maintenance.  ECAD data is joined with MCAD data and prepared for visualization through augmented reality. This opens the possibility to obtain information on the wiring diagram as well as the construction plan in one single app. For maintenance, this leads to an enormous time advantage when identifying and replacing defect mechatronic components. Augmented reality supports maintenance staff with respect to both the identification of the defect component as well as the layout of the switch cabinet.

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

Smart Assembly Quality Control – AI-supported quality control and worker guidance

In general, manual assembly processes start with the identification of the screw case at the assembly piece. Based on the recognition, the correct process parameters have to be selected to ensure a safe and high-quality screwing. The data, e.g. in form of screw curves has to be documented and saved in a quality management system. The results of the project “Smart Assembly Quality Control” support the worker in all the steps of the process. (learn more)

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

IoT Connector Box – Scalable IIot-Retrofitting and Microservices

To realize a digitally connected factory in the spirit of industry 4.0, a bi-directional, real-time, and web-based communication with machines and production assets is a basic building block. Especially brownfield production environments are a great challenge for creating a sound basis for data and communication: At machine level, data comes from different sources in various formats, often a wide variety of interfaces must be taken into account. These challenges are addressed by the IIot connector box, where all existing machine data as well as retrofitted sensor equipment are brought together in a standardized solution. (learn more)

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

Smart Digital Twin Mechatronics – Increased maintenance efficiency through interconnected information

One problem of unplanned downtime in practice is that machine information typically is not bundled in one place. Mechanical and electric information as well as manufacturer information are sometimes not digitally available or scattered over several databases. The resulting search effort costs negatively affect a timely fixing of the problem. The Smart Digital Twin Maintenance merges all relevant machine information across disciplines in a browser interface. This way, maintenance is able to detect and fix errors significantly faster.  (learn more)

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

SmartWirAR – Augmented Reality facilitates manual cabinet wiring

Even though the wiring connections of cable cabinets are nowadays mostly stored digitally, a media break occurs at the assembly stage  Typically the technician responsible for wiring of the individual components in the switch cabinet, prints out the instructions. This circumstance causes time-consuming and complicated searches for the right connections and is a time-consuming/non-value-adding method of working. In addition, errors become more likely.

In the project SmartWirAR, an augmented reality based system was developed overlays the physical workplace with the digital plans. Connected tools lead through the wiring process. (learn more)

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

Smart Assembly Station – The Internet of Production enables a flexible One-Piece-Flow

In cooperation with the member companies Miele, PTC, Bossard, Elisa, and Atlas Copco, the E4TC developed an One-Piece-Flow 4.0 for assembly. The project is realized at the demonstration factory at the RWTH Aachen Campus.

Equipped with location sensors, a digitally connected assembly tool can be used at each assembly station. Product, tool, sensor data, bill of material and process plans are integrated through an IoT platform. The smart tool retrieves the correct parameters at each assembly station automatically. All assembly steps are reported and documented without the need for manual intervention. The location tracking ensures that the assembly tool can only be used at the designated assembly stations. The smart assembly station minimizes waste and increases both flexibility and quality of the assembly process.

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

Augmented Reality in Laser Cutting – Increasing handling efficiency in multi-order cutting processes by AR

Laser cutters used in industry cut up to 300 parts into a single large sheet metal. To ensure sustainability the amount of waste should always be kept at a minimum In order to do so, parts usually are spread randomly all over the sheet metal rather than sorted. While this optimizes the amount of waste, it makes it more difficult and time-consuming for a worker to identify all the parts and sort them accordingly. The parts on the sheet might differ from one to another and can even belong to different orders or customers.

Together with PTC and Trumpf, we developed an Augmented Reality-based (AR) app for operators to distinguish the parts and thereby speeding up the sorting process. (learn more)

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

Optimize Digital Quality Control in Manufacturing at e.GO Mobile

At the e.GO series factory in Aachen, the end of line quality inspection is supposed to follow the assembly cycle time of 10 minutes per station. At the same time, information from the quality check and inspection results have to be documented and stored digitally. With around 400 relevant quality aspects being tested, an efficient process is only possible with the help of a digital tool.  (learn more)

YouTube

By loading the video you will be accepting YouTube's privacy policy.
Read more

Load video

Optimizing Order Flow by Smart Tracking Analytics

A high degree of transparency is needed in modern manufacturing sites. In execution planning, for example, all individual production steps need to be planned down to the finest detail. This requires constant knowledge of the location of equipment, tools and materials. The combination of an asset tracking solution that is standardized and hardware independent, with the opportunities of data analytics offers not only real-time insights into order flows but even make it possible to predict situations on shop floor. This optimizes the entire order flow and value chain within a production site. (learn more)

M6LO-1024x570