Machine Learning and Artificial Intelligence in Production: Application Areas and Publicly Available Data Sets

Abstract

In an effort to meet climate protection targets, countries around the world are promoting electro mobility. As a result of market growth, the worldwide production capacities for electric motors for traction drives is going to expand significantly. Besides, the existing technology must be adapted to automotive specific life cycle requirements. On the product side, the electric machine has to reach maximum power densities in order to keep the required limitations of space and weight. Furthermore, a fully automated production process is essential to achieve high output rates and required quality standards. The application of new adhesives and bonding processes implements product-relevant properties in the production of components for electric motors. Moreover, the selection of adhesive systems and process parameters is crucial for cost-efficient and high quality manufacturing processes in mass production. In the production of permanent magnet synchronous machines, adhesives are used for joining of lamination stacks, fixation of magnets and the overall assembling of stator housings. The paper analyses and evaluates different adhesive systems in terms of their product and process capability using two cases of application. The results serve as a starting point for further automated process development and reveal the challenges of the adhesive application in production technology for electric motors. Abstract. Zur Erreichung von Klimaschutzzielen, fördern Länder auf der ganzen Welt die Elektromobilität. Aufgrund des Marktwachstums werden die weltwei-ten Produktionskapazitäten für Traktionsantriebe deutlich erhöht. Bestehende Technologien müssen deshalb an die spezifischen Anforderungen der Automo-bilbranche angepasst werden. Auf der Produktseite muss die elektrische Ma-schine maximale Leistungsdichten erreichen, um die erforderlichen Platz-und Gewichtsbeschränkungen einzuhalten. Darüber hinaus ist ein vollautomatisierter Produktionsprozess unerlässlich, um hohe Ausbringungsraten und geforderte