Christian Kubik

Technische Universität Darmstadt | TU · Department of Mechanical Engineering (Dept.16)

Although data characterized by sensorial acquired time series combined with ma-chine learning algorithms are the fundamental for mastering the challenges of modern production systems, their potential is rarely exploited in real-world manufacturing ap-plications. The literature presents systematic process models to generate knowledge from data sets,...

Wear is one of the decisive factors for the economic efficiency of sheet metal forming processes. Thereby, progressive wear phenome lead on the one hand to a poor workpiece quality and on the other hand to tool failure resulting in high machine downtimes. This trend is intensified by processing high-strength materials and the reduction of lubricant...

Blanking is one of the most important processes for manufacturing sheet metal parts with complex geometry in high precision. Abrasive wear of the cutting edge and adhesive wear of the lateral surface of the punch as a result of the high sliding speed and local pressure have a decisive influence on the tool life. In addition to the forces in the cut...

CoFe lamination stacks used for high-performance electric motors can be manufactured economically in high volumes by interlocking. In order to ensure sufficient joint strength with minimized sheet thickness, a comprehensive knowledge of the influences of various process parameters, such as embossing depth, clearance and counter punch force, is esse...

The potential of data for inline detection of changes in the physical state of sheet metal forming processes has been proven over the last decade. However, with production rates exceeding 300 parts per minute the time available for a workpiece-related processing of sensor data is reduced. Therefore, the analysis of large data sets is outsourced to...

Today, design and operation of manufacturing processes heavily rely on the use of models, some analytical, empirical or numerical i.e. finite element simulations. Models do reflect reality as best as their design and structure may appear, but in many cases, they are based on simplifying assumptions and abstractions. Reality in production, i.e. refl...

Blanking processes belong to the most widely used manufacturing techniques due to their economic efficiency. Their economic viability depends to a large extent on the resulting product quality and the associated customer satisfaction as well as on possible downtimes. In particular, the occurrence of increased tool wear reduces the product quality a...

In consequence of high cost pressure and the progressive globalization of markets, blanking, which represents the most economical process in the value chain of manufacturing companies, is particularly dependent on reducing machine downtimes and increasing the degree of utilization. For this purpose, it is necessary to be able to make a real-time pr...

Industrielle Überwachungssysteme in Blechumformprozessen basieren weitestgehend auf Hüllkurven und Grenzwerten von Zeitreihen, die damit lediglich eine binäre Fehlerdetektion erlauben. Die modellbasierte Prozessüberwachung mit Methoden des Machine Learnings bietet jedoch deutlich tiefere Einblicke in diese Prozesse und zeigt das Potenzial, Zustände...

Die Wirtschaftlichkeit industrieller Stanzprozesse hängt stark von produzierten Bauteilqualitäten und Stillstandzeiten ab. Negativ werden diese von Verschleißerscheinungen an genutzten Stanzstempeln beeinflusst, weswegen datengetriebene Überwachungssysteme sowohl in industrieller Praxis als auch akademischer Forschung entwickelt werden. Insbesonder...

Image-based Deep Learning (DL) applications have been increasingly applied in manufacturing processes in recent years and enable real-time decisions to be derived on the basis of raw image data. However, there are major obstacles that prevent a widespread application. The generation of extensively labeled datasets is associated with costly experime...

Blanking processes belong to the most widely used manufacturing techniques due to their economic efficiency. Their economic viability depends to a large extent on the resulting product quality and the associated customer satisfaction as well as on possible downtimes. In particular, the occurrence of increased tool wear reduces the product quality a...

Machine elements produced in large quantities undergo several development cycles and can be adapted from generation to generation. Thus, experiences from real operation can be taken into account in further development. This is not possible for innovative investment goods such as special purpose machines, as these are usually individual items. There...

In diesem Beitrag wird das KDT-EA (Knowledge Discovery in Time Series for Engineering Applications) vorgestellt, eine Verbesserung des bestehenden KDD-Prozesses, um speziell die Analyse von aufgezeichneten Zeitreihen in Produktionsprozessen zu adressieren. Es werden die Schritte von der Datenerfassung bis zur Implementierung der entwickelten Modell...

With the current tendency of mass production towards customer-oriented serial production, blanking processes are facing new challenges. They require an increase in knowledge about faulty process conditions and their influence on the quality of a component as well as an instruction for a target-oriented adaptation of the process. The aim of this stu...

Facing the increasing amount of available data, supervision of processes is experiencing a vast upheaval. Especially time series recorded during high-speed manufacturing processes like shear-cutting challenge the interpretation of the data. This work shows how to extract features from shear cutting force data that help to explain process variations...