Department Data Driven Design (DDD) – Institute of Product Development

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 development to make better decisions.

This also involves the further development of methods for life cycle assessment, life cycle costing, reliability analyses, and component scaling optimizations in combination with our generative design approach.

Projects

Strategies for increasing product sustainability through SLM (SAM)

This project aims to analyze the potential of industrial manufacturing of metal components using selective laser melting (SLM) as an additive manufacturing process in terms of environmental sustainability, defined by energy consumption over the product life cycle. The conditions under which SLM is more sustainable than existing conventional processes will be specified. The focus of this project is on functionalized 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)

This project considers all the different researcher archetypes and communities in the engineering sciences. Since all of them rely on high-quality data, the development of appropriate data quality assurance processes, as well as the corresponding tools and data quality metrics, is crucial to making their data FAIR and enabling engineers to evaluate data and select it for further curation.
Life cycle-oriented cost management (Baker Hughes)

Within the scope of projects, methods and models are developed to estimate and optimize the life cycle costs of product-service systems. The aim is to support decision-making in concept selection and to ensure that cost targets are met through targeted optimization, starting in the early stages of development. This is done by incorporating requirements from literature and customers of an industry partner.
scaling methods

In product development, the initial development and marketing of a product often necessitates the provision of further variants. These variants may relate to geometric or performance-related parameters, while the basic concept typically remains unchanged. Nevertheless, further development and testing of these variants is often unavoidable due to imprecise knowledge of the effects of the new size and performance ratios. That is why we are working with our industry partners to investigate various scaling effects and develop 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 feed lifecycle data back into product development in a targeted manner and make it available for product generation development.