In India, Dürr Paint Application Provider has shown magnificent performance in paint application. After detecting defect sources, regulating the ideal maintenance schedule, and enhancing manufacturing processes, Dürr uses state-of-the-art robots and artificial intelligence technology in paint shops.
With the enablement of analysis software from the DXQ product family for sealing, Dürr Paint Application Systems is substantially widening the scope of its artificial intelligence applications. For the first time, with the help of a special interface solution, it has become possible for Dürr to involve robots from existing paint shops for sealing purposes.
Robots, conveyor technology, ovens, and cathodic electrocoating systems play a vital role in providing data or information at the control level of the interface. This connectivity phenomenon is used in factories belonging to the automotive industry, having a widespread amount of data regarding assets like products, manufacturing processes, and raw materials.
To accurately plan maintenance intervals or identify formerly unknown defect sources, machine learning and historical data are combined with software from Dürr’s DXQ family. Furthermore, using modern technologies like recording integral machine data, such as events like alarms, axis positions, beginning, and end times of programs, and temperatures in real-time, and uploading them to a database, helps increase plant availability and application quality.
Existing plants connectivity
Operators in existing plants are facing issues regarding operation. Since they are constrained, most of the systems do not have the facilities of the right interface for data acquisition and connectivity. Thus, it hinders the high demand for digital applications. These features are only found in the latest generation of Dürr robots.
To almost all common disciplines and robots, Dürr has found a way to bring connectivity. Because earlier robots and models from other technologies and manufacturers outside of paint applications could not be connected.
Detailed information from all process steps
In the high temporal resolution of a few milliseconds, data is provided by current Fieldbus technologies. They are connected by an adapter made of hardware and software components. Techno-Step, a specialist in systems for diagnostics and process data analytics, in collaboration with Dürr, created this adapter.Since 2020, Techno-Step has been a part of the Dürr Group.
DXQequipment.analytics, an analytical software reads the available actuator and sensor data from the operator’s existing plants and combines the entire gamut of disciplines, from pretreatment to application to conveyor technology. This software gives detailed insights into the various process steps and all the systems included in them along the whole value chain to the operators.
Expertise in mechanical engineering and IT
The Advanced Analytics module is incorporated into the DXQequipment.analytics software package. This software uses artificial intelligence (AI) to grow the overall equipment potency in the paint shop. As the first market-ready solution to date, Dürr expanded this module for sealing. This was done by adapting AI models that examine the robot and process data for the discipline’s specific needs or requirements.
In the automotive industry, Dürr Paint Application Systems uses its extensive level of digital knowledge and expertise in manufacturing processes and production technology. This combined prowess enables Dürrto to utilize AI in its future operations. At an early stage, the software will aid in the accurate detection of defect sources when determining optimal maintenance schedules and applying high-viscosity materials. An example of this phenomenon is the detection of nozzle clogs. Quick fixes and repairs of the quality defects are required when the sealing material partially clogs the application nozzle, and the material jet is changed. The DXQ analytical software identifies these defects and takes the necessary steps to correct them by intervening. Dürr, with its advanced technologies, high-level skill, and knowledge, has established standards in paint application. Moreover, with the help of artificial intelligence (AI), it has become feasible for the company to operate effectively and efficiently.