Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK

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  • Publication
    Taxonomy for Biological Transformation Principles in the Manufacturing Industry
    ( 2023)
    Berkhahn, Magda
    ;
    Kremer, Gerald
    ;
    Riedelsheimer, Theresa
    ;
    Lindow, Kai
    ;
    Stark, Rainer
    Industry and research are seeking answers to current demands in industrial value creation, like resilience of production, sufficient product quality and sustainability of products and processes. A novel line of thought, seeking the accomplishment of those is the Biological Transformation (BT). BT describes the interweaving of biological modes of action, materials and organisms with engineering and information sciences. The conflation of disciplines from natural, technical and social sciences yields in a heterogeneous field of activities with ambiguous technical terms. An ascertainment of principles of BT is required to classify yet undifferentiated patterns in nature-based production, facilitating their systematic implementation in aiming for sustained solutions on current challenges. With increasing research in biomimetic, attempts arise to capture nature‑based activities in manufacturing through schematic classifications. Yet, basic semantics representing the effective principles of BT in the manufacturing industry is lacking. The goal of this publication is to introduce a taxonomy of Biological Transformation in manufacturing based on its core principles Bio Inspiration, Bio Integration and Bio Interaction. Within the research project BioFusion 4.0, the taxonomy was developed and applied to classify technology innovations. The paper presents the taxonomy, its development and application in use cases.
  • Publication
    Applying Contextualization for Data-Driven Transformation in Manufacturing
    ( 2020)
    Gogineni, Sonika
    ;
    Lindow, Kai
    ;
    Nickel, Jonas
    ;
    Stark, Rainer
    Manufacturing is highly distributed and involves a multitude of heterogeneous information sources. In addition, Production systems are increasingly interconnected, hence leading to an increase in heterogeneous data sources. At present, data available from these new type of systems are growing faster than the ability to productively integrate them into engineering and production value chains of companies. Known applications such as predictive maintenance and manufacturing equipment management are currently being continuously optimized. While these applications are designed to help companies manage their manufacturing and engineering data, they only use a fraction of the total potential that can be realized by linking manufacturing and engineering data with other enterprise data. In the future, the context in which the data can be set will play an essential role. A meaningful added value in manufacturing can be achieved only with context specific data. Against this background, this paper presents three main areas of application for contextualizing data (semantics, sensitivity and visualization) and explains these applications with the help of a contextualization architecture. The concept is also evaluated using an industrial example. Furthermore, the paper describes the theoretical background of contextualization and its application in industry. The major challenges of the ability of engineers to adapt their activities and the integration of process knowledge for semantic linking are addressed as well.
  • Publication
    Feedback to Design with Digital Lifecycle-Twins - literature review and concept presentation
    ( 2018)
    Riedelsheimer, Theresa
    ;
    Lindow, Kai
    ;
    Stark, Rainer
    In this paper, the authors propose a concept for optimizing the design process as well as product-related features and services through learning from Digital Twin data and establishing a continuous feedback loop from downstream phases of the product lifecycle to the design phase. As a first step, a systematic review of existing concepts in literature as well as a gap analysis is conducted. The presented concept details existing Digital Twin concepts and implementations by focusing on the specific objective of realizing Feedback to Design and integrating the lifecycle aspect.
  • Publication
    Using ontology to support scientific interdisciplinary collaboration within joint sustainability research projects
    ( 2013)
    Wang, Wei Min
    ;
    Pförtner, Anne
    ;
    Lindow, Kai
    ;
    Hayka, Haygazun
    ;
    Stark, Rainer
    A multitude of different perspectives and scientific disciplines have to be regarded considering research in sustainable development. Each discipline usually has its own understanding of sustainability and uses different vocabulary. Nonetheless, they have to work together to make a progress. To get a complete picture within the field of production, for example to evaluate the sustainability of a product or a process, different disciplines such as environmental engineering, mechanical engineering, mathematics or social sciences must be combined. In the Collaborative Research Center 1026 â Sustainable Manufacturing an ontology is developed in order to link the different disciplines considering sustainable value creation networks. The ontology assists in exchanging information and data and thus fosters collaboration. The paper presents and discusses an extract of identified requirements and the approach on developing the ontology for collaborative research.
  • Publication
    Decision-making support for sustainable product development
    ( 2013)
    Lindow, Kai
    ;
    Heimann, Oliver
    ;
    Adolphy, Sebastian
    ;
    Hayka, Haygazun
    ;
    Stark, Rainer
    This research focuses on the conceptual design of a Knowledge-based Engineering (KBE) System. A concept for the KBE System and its requirements are described and an outlook of the KBE structure is provided. The KBE System supports design engineers to better understand the impacts of their design decisions on the entire product/system lifecycle. The following points are addressed: Clarification of the evaluation criteria for sustainability assessment, concept development for the KBE System and establishment of a comprehensive knowledge base.
  • Publication
  • Publication
    Problem-based teaching in mechanical engineering design - a collaborative course model
    ( 2012)
    Hanayli, Mehmet M.
    ;
    Buchert, Tom
    ;
    Kaluza, Andrea
    ;
    Lindow, Kai
    ;
    Stark, Rainer
  • Publication
    Contribution to sustainable product development by means of knowledge assets integrated into a PDM-system
    ( 2011)
    Lindow, Kai
    ;
    Nguyen, Hoai Nam
    ;
    Hayka, Haygazun
    ;
    Stark, Rainer
    This paper describes the need of sustainable engineering derived from the principle of sustainable development. The main goal is to present a new approach where knowledge, especially sustainable product and process knowledge, can be organized and provided efficiently for the user. This is type of a straightforward approach. Earlier work results are directly included and experiences from basic and applied research are transferred. The knowledge is deposed in knowledge assets which are assigned to the product structure. The solution approach is implemented into a Product Data Management (PDM) system. Eventually, a case study provides an overview of the approach's benefits.