This paper presents results from a study in which Augmented Reality (AR) technology has been employed in a serious game for teaching the assembly of a car power generator. Most used car power generators can be remanufactured in order to save material and cost. This is usually done manually and requires a mechanic who knows the different steps of disassembly, cleaning, replacement and re-assembly of the generators components. A serious game has been developed that teaches an apprentice mechanic of which components a car power generator consists and how these components have to be assembled. The game has been implemented as an application for smartphones running the Android operation system. The game employs augmented reality technology in order to let the user interactively experience the spatial arrangement of components and to support the user in validating his learning success
Part 12: New PLMInternational audienceThe steadily growing complexity of products, interfacing processes, value creation networks and IT environments drive today’s PLM solutions to their limits. How does this effect engineers? Over 1,400 engineers from the German industry provided feedback in 2011 – with alarming but expected results. Almost two thirds of the respondents can only spend 20% or less time on average for core tasks such as development, design or validation. The study confirmed a lack of time for creative engineering activities caused by a massive coordination and communication overhead. Could engineers and designers be relieved from routine and administrative tasks in product lifecycle management by means of current “intelligent” technologies? In constant dialogue with industry and PLM experts, the Fraunhofer IPK and TUB have investigated the demand for intelligence in product lifecycle management. This paper reflects on the current situation of PLM and introduces a conceptual framework (Engineering Operating System) for next generation PLM. Subsequently, an Engineering Automation Capabilities (EAC) stair step model is proposed and selected research results for “intelligence” in PLM are presented
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