Agile Entwicklung physischer Produkte 2023: Eine Studie zum aktuellen Stand in der industriellen Praxis

In der Entwicklung von mechatronischen Produkten nimmt die agile Entwicklung bereits seit einigen Jahren eine zunehmend wichtigere Rolle ein. Im Rahmen dieser Studienserie wird seit 2018 das Fortschreiten der Agilität in der DACH-Region untersucht. In der vorliegenden Ausgabe des Jahres 2023 liegt der Fokus dem Verständnis und der Anwendung agiler Arbeitsweisen, den Herausforderungen in deren Skalierung und der Bedeutung von Prototyping im genannten Kontext. Die Ergebnisse dieser Studie beruhen, wie auch in den vorangegangenen Jahren, auf den Aussagen von Praktikern aus einem breiten Spektrum an Industrieunternehmen, die an einer Online-Umfrage teilgenommen haben. Die Studie beschreibt sowohl quantitative als auch qualitative Ergebnisse aus der industriellen Praxis

Structuring and Provision of Manufacturing knowledge through the Manufacturing Resource Ontology

One challenge in manufacturing-integrated product development is the accessibility of the required manufacturing knowledge. Here, ontologies offer the possibility to structure and formalize information in the form of a knowledge base in order to act as a generic interface to the manufacturing and design specific systems. This paper describes the development of a generic knowledge base called MARON (MAnufacturing Restriction ONtology) for the structured representation of manufacturing restrictions via formalized manufacturing capabilities. Using the example of an expert system for process element-oriented manufacturability analysis, it is shown how MARON contributes to automated decision support in the context of manufacturing-oriented design

Datenqualitätssicherung im Forschungsprozess am Beispiel von Zugversuchen

Progressive digitization throughout the entire product data life cycle requires a more sensitive handling and understanding of data within engineering processes. Regarding engineering research data, the aim is to implement the FAIR data principles (Findable, Accessible, Interoperable, Reusable) to guarantee the post-usability of research data. To ensure the quality of data throughout the entire research process a methodical approach had been developed. Based on the quality categories Intrinsic, Representative, Contextual and Available, the related quality dimensions are considered differentiated along the research data life cycle and presented in a concept. As a use case, this concept is carried out on a tensile test with documentation of results in a research data management system

Method for CAD/CAM-based production of patient-specific anatomical bone surrogates from polyurethane rigid foams of different densities for various clinical applications

Physical models of bony areas are used in the medical environment for training, patient information or for various examinations. These are idealized average models which, however, do not reflect the individuality of a respective patient. Furthermore, the mechanical properties of the bony structure with cortical bone and cancellous bone are not considered in most models. A few manufacturers, such as SawBone, offer models and material blocks that approximate the properties of the bone. However, these are not patientspecific either. This paper presents a proposal for a method to create patient-specific physical bone models with CAD/CAM technologies that approximate shape and mechanical properties. The models are made of two different rigid polyurethane foams for cortical bone and cancellous bone. The methodical development includes the elaboration of a framework starting from the patient's CT data, through design derivation, to fabrication. Furthermore, a possible process for fabrication in the form of a demonstrator and its application in sawing tests will be demonstrated

Investigation of manufacturing deviations of CPC scaffolds for improving the design process

In current implantology, calcium phosphate cement (CPC) is increasingly used. A special focus is given to CPC scaffolds, as they are suitable for cell settlement and growth due to their positive osteoconductive properties. The design of the scaffolds is of decisive importance for this. The value ranges of the geometric parameters of these scaffolds (e.g. path distance, path diameter), which are positive for both cell settlement and cell growth, are very small. Manufacturing deviations therefore have a significant impact on cell settlement and growth. The pasty manufacturing consistency can cause sagging at the path interstices of a layer immediately below, resulting in significant manufacturing deviations. A larger path distance and thus a larger path interstitial space promotes cell settlement, but at the same time increases the risk of CPC path shape inconsistency. This in turn can have a negative effect on cell settlement. Therefore, the aim of this paper is to investigate the discrepancies between the nominal and actual state at a path distance favourable to cell settlement on the basis of manufactured CPC scaffolds. In this context, geometric and manufacturing parameters of the shape deviation are to be identified and constructive design adaptations are to be derived on the basis of these. In addition, the effects of the shape and position deviations on the flow behaviour will be investigated

Agile Entwicklung physischer Produkte 2023: Eine Studie zum aktuellen Stand in der industriellen Praxis

In der Entwicklung von mechatronischen Produkten nimmt die agile Entwicklung bereits seit einigen Jahren eine zunehmend wichtigere Rolle ein. Im Rahmen dieser Studienserie wird seit 2018 das Fortschreiten der Agilität in der DACH-Region untersucht. In der vorliegenden Ausgabe des Jahres 2023 liegt der Fokus dem Verständnis und der Anwendung agiler Arbeitsweisen, den Herausforderungen in deren Skalierung und der Bedeutung von Prototyping im genannten Kontext. Die Ergebnisse dieser Studie beruhen, wie auch in den vorangegangenen Jahren, auf den Aussagen von Praktikern aus einem breiten Spektrum an Industrieunternehmen, die an einer Online-Umfrage teilgenommen haben. Die Studie beschreibt sowohl quantitative als auch qualitative Ergebnisse aus der industriellen Praxis

Digital Engineering Methods in Practical Use during Mechatronic Design Processes

This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referred to as “digital engineering”, have the potential to disrupt the way products are developed and improve the efficiency of the product development process. However, their integration into current product development processes is not yet widespread. This work presents a novel consolidated view of the current state of research on digital engineering in product development by a literature review. This includes discussing the methods of digital engineering, introducing a product development process, and presenting results classified by their individual area of application. The work concludes with an evaluation of the literature analysis results and a discussion of future research potentials