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Building Innovation Pipelines Through Computer-Aided Innovation
This volume constitutes the refereed proceedings of the 4th IFIP WG 5.4. Working Conference on Computer- Aided Innovation, CAI 2011, held in Strasbourg, France, in June/July 2011. The 14 revised papers presented were carefully reviewed and selected from numerous submissions. They cover a broad range of topics from basic research to industrial applications of computer-aided innovation systems.
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.
Nodes of Translation
The volume examines translation of key German texts into the modern Indian languages as well as translation from the vernacular languages of South Asia into German. Our key concerns are shifting historical contexts, concepts, and translation practices. Bringing an intellectual history dimension to translation studies, we explore the history of translation, translators, and sites of translation. The organization of the volume follows some key questions. Which texts were being translated? At what point or period in time did this happen? What were the motivations behind these translations? Topics covered range from thematic nodes or clusters, e.g., translations of Economics texts and ideas into...
Framework for the Integration of Mobile Device Features in PLM
Currently, companies have covered their business processes with stationary workstations while mobile business applications have limited relevance. Companies can cover their overall business processes more time-efficiently and cost-effectively when they integrate mobile users in workflows using mobile device features. The objective is a framework that can be used to model and control business applications for PLM processes using mobile device features to allow a totally new user experience.
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.
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.
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.
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.
