Work Group Data Driven Design (D³)

In the Data Driven Design department, we develop methods and processes for the structured collection and storage of data and information from the entire product life cycle. This data and information forms the basis for the knowledge that can be used in the development process to make better decisions. The further development of life-cycle assessment methods, life-cycle costing, reliability analyses and optimisation of component scaling in combination with our "Generative Design Approach" also play a role here.

Projects

  • Strategies for increasing product sustainability through SLM (SAM) - This project aims to analyse the potential of the industrial production of metallic components using selective laser melting (SLM) as an additive manufacturing process with regard to environmental sustainability - defined by energy consumption over the product life cycle. The conditions under which SLM is more sustainable than existing conventional processes are to be specified. The focus of this project is on functionalised structural components. The aim is to provide product designers and quality engineers with a set of rules and to identify potential for improving sustainability
  • Base Services for Research Data Infrastructure (NFDI4Ing) - In this project, all different researcher archetypes and communities in engineering are considered. As all of them rely on high quality data, the development of appropriate data quality assurance processes, tools and data quality metrics is crucial to make their data FAIR and enable engineers to evaluate and select data for further curation.
  • Lifecycle-oriented cost management (Baker Hughes) - As part of projects, methods and models are developed to estimate and optimise the lifecycle costs of product-service systems. The aim is to support decision-making in concept selection and to ensure cost targets are met through targeted optimisation - starting in the early development phases. This is done by taking into account requirements from literature and customers of an industrial partner.
  • Scaling methods - In product development, the provision of further variants is often necessary as a result of the initial development and marketing of a product. The variants can relate to geometric or performance-related variables, while the basic concept typically remains the same. Nevertheless, further development and testing of these variants is unavoidable in many cases due to imprecise knowledge of the effects of the new size and performance ratios. This is why we are investigating different scaling effects with our industrial partners and developing a methodology for the targeted use of scaling variables to effectively reduce development time.
  • Process of technical inheritance - Product Data Management (PDM) and Product Lifecycle Management (PLM) systems are used to store and provide data and information that has been generated or recorded about a product. The aim of this work is to use PDM & PLM systems to specifically feed lifecycle data back into product development and make it available for product generation development.

Expertise

  • Project, cost and innovation management
  • Product data management
  • Life cycle assessment
  • Life-cycle assessment
  • data analysis
  • scaling
  • Process development
  • Specification techniques
  • Technical reliability
Johanna Wurst-Köster, M. Sc.
Management
Address
An der Universität 1
30823 Garbsen
Building
Room
313
Johanna Wurst-Köster, M. Sc.
Management
Address
An der Universität 1
30823 Garbsen
Building
Room
313