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CAE - PROCESS AND NETWORK
CAE ProNet methodology is to develop CAE network considering interdependencies among digital validations. Utilizing CAE network and considering industrial requirements, an algorithm is applied to execute a product, vehicle development phase, and load case priority oriented CAE process. Major advantage of this research work is to improve quality of simulation results, reducing time-to-market and decreasing dependencies on hardware prototype.
Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes
In this work, a novel knowledge discovery framework able to analyze data produced in the Gasoline Direct Injection (GDI) context through machine learning is presented and validated. This approach is able to explore and exploit the investigated design spaces based on a limited number of observations, discovering and visualizing connections and correlations in complex phenomena. The extracted knowledge is then validated with domain expertise, revealing potential and limitations of this method.
Methodik fuer Erfassung und Bewertung von emotionalem Kundenfeedback fuer variantenreiche virtuelle Produkte in immersiver Umgebung
This work describes a methodology for customer-centered selection of solutions for future product in the concept stage using their virtual representation. It integrates the technology of Virtual Reality and the emotions research into the parallel and interdependent processes of product development and market research, in order to enable the acquisition of relevant emotional feedback during interactive product experiencing.
Methodik zur produktionsorientierten Produktanalyse fuer die Wiederverwendung von Produktionssystemen - 2REUSE : Konzept, Informationsmodell und Validierung am besonderen Beispiel des Karosserierohbaus in der Automobilindustrie
Objective of this work is to ensure the basic manufacturability of a design for a predefined production line. The alignment between product and production line is the main factor for high quality and efficient change management before starting production. Main principal is: "Do it right the first time". An efficient feedback process ensures that the relevant requirements from the later phase of the product development process are delivered in early stages of product design.
Methodik für Wissens- und Prozessmanagement bei der interaktiven kollaborativen Montage variantenreicher Produkte
Ein kollaborationsgerechtes Wissens- und Prozessmanagement muss die Integration aller beteiligten Systeme unterstützen, spezifische Fragen der Arbeitsteilung im Rahmen der Steuerung adressieren, aber auch die Planung und das Engineering neuer Varianten ermöglichen und durch Persistierung und Analyse von Prozessdaten zu einer stetigen Qualitätssteigerung beitragen. - Collaboration-oriented knowledge and process management must support the integration of all systems involved, address specific questions of the division of labor within the control system, but also enable the planning and engineering of new variants and contribute to a continuous increase in quality through the persistence and analysis of process data.
Methodik eines holistischen Variantenmanagements modularer Produktfamilien - Grundlagen, Systematik und beispielhafte Anwendung der VMahead Methodik
A prominent solution to control a company's internal complexity is a modular product architecture. The implementation of a modular structure comes with high effort and cost. During the application phase these expenditures are compensated. However, a modular structure does not remain stable throughout its lifetime. Decisions on new modules have to be made. Therefore, a new method to support variant decisions on module, module variant and product level has been designed.
Tolerance Simulation in the Loop : Ansaetze zur Verbesserung der Vorhersagegenauigkeit der Toleranzsimulation im Automobilbau durch Adaption an reale Fertigungsprozesse
The dimensional accuracy in the body-in-white manufacturing process is analysed, basically confirming the simulation scope already in use. An enhanced prediction approach and a visualisation tool enable a precise and cost-efficient mapping of stamped parts deviation. As a result of joining operations parts can be deformed plastically, questioning the practical use of elastic tolerance simulation. A modified approach is presented based on the rigid body tolerance simulation.
Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung
Ziel dieser Arbeit ist es, eine Methode zu entwickeln, mit der die Matrixproduktion im Falle einer Störung umgeplant werden kann. Zu diesem Zweck werden verschiedene Methoden der künstlichen Intelligenz in neuartiger Weise kombiniert. Die entwickelte Methode wird anhand eines theoretischen und einem realen Terminierungsfalles validiert. - This work aims to develop a method that can reschedule the matrix production in the case of a disruption. For this purpose, different artificial intelligence methods are combined in a novel way. The developed method is validated on a theoretical and a real scheduling case.
