Product Lifecycle and Engineering Data Management (PLM) on the Cloud

 Engineering analysis processes include activities such as product design and product analysis, including mesh generation, definition of boundary conditions, simulation, and post-processing. In any engineering company the highly iterative simulation process results in huge amounts of files and data with many different representations of the 3D product model. For an engineer it is a challenge to keep an overview of related data (configuration control) and extract the essential information for product optimization, demanding a user-friendly overview over configuration controlled data sets and an easy and fast visual inspection.

 

Challenge
For the process of managing evaluation results, Stellba uses a multitude of different software packages with high license costs, training efforts and requirements towards human skills. The process is tedious and the locally installed software packages limit accessibility to the corresponding computers – there is no remote / web access. So, on average, Stellba spends 4 weeks on organizing and reviewing simulation results in parallel to running the simulations themselves. The goal of this case study is to reduce the amount of effort spent on reviewing and managing results by typically 1 week (i.e., by 25%), through the development of a dedicated solution with inter-application communication and by exploiting HPC resources for fast, accurate and optimized visualisation.

Benefits
With the help of Fraunhofer IGD (a research institute in Germany specializing in visual computing) and Jotne AS (a Norwegian SME developing and distributing software for interoperability of industrial data and end-user applications with focus on PLM functionality), the time for reviewing and managing simulation results at Stellba is being reduced by saving about 40 person-hours of work for a medium-sized turbine optimisation project. By shortening the elapsed time for handling projects, Stellba's capacity for new projects increases and reduced product costs lead to better competitiveness. The ownership of data by Stellba is also improved as project data are archived in a standard format (STEP, ISO 10303). The introduction of these processes will help to preserve existing jobs.

Organizations involved
Arctur - Slovenia
Stellba Hydro GmbH & Co KG- Germany
University of Nottingham- United Kingdom
Fraunhofer IGD- Germany