@article{66059,
  author       = {{Kapustenko, Petro and Tovazhnyanskyy, Leonid and Arsenyeva, Olga and Riese, Julia and Varbanov, Petar Sabev}},
  issn         = {{1290-0729}},
  journal      = {{International Journal of Thermal Sciences}},
  publisher    = {{Elsevier BV}},
  title        = {{{Selection of the mini- and micro-channels geometry for improved heat recuperation in specific industrial conditions}}},
  doi          = {{10.1016/j.ijthermalsci.2026.111129}},
  volume       = {{229}},
  year         = {{2026}},
}

@article{66067,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>Mechanical joining processes have played an increasingly important role in the manufacturing of modern lightweight structures due to a greater variety of materials. The growing number of joining tasks requires a large number of joining elements. Friction spun joint connectors (FSJC) offer an innovative approach that meets the growing demand for flexibility. This process combines rotational movement and axial force to create targeted friction heating, enabling the production of FSJCs and the joining of various sheet metal materials. The shape of the FSJC can be optimally adapted to the joining situation in question, providing a significant advantage in terms of process chain versatility. This paper investigates FSJCs made of the steel grades C45E+C (1.1191) and 115CrV3 (1.2210), the effect of in situ quenching during the joining process. The influences of the essential parameters of rotational speed, feed rate, and FSJC length on the mechanical properties after quenching are being focused on and compared to similar conditions during joining without quenching. At the same time, the material change is analyzed to determine the effect of different alloy approaches on hardness profiles and strength characteristics in cross-tensile testing. For this purpose, systematic test series with varying process parameters are conducted and evaluated using hardness measurements and cross-tensile tests.</jats:p>}},
  author       = {{Nordieker, Ansgar Bernhard and Homberg, Werner}},
  issn         = {{0972-2815}},
  journal      = {{Transactions of the Indian Institute of Metals}},
  number       = {{6}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Quenching During Thermomechanical Joining Using Friction Spun Joint Connectors}}},
  doi          = {{10.1007/s12666-026-03846-5}},
  volume       = {{79}},
  year         = {{2026}},
}

@inproceedings{64616,
  abstract     = {{The circular economy offers decisive advantages over the currently prevalent linear economy in industry. Firstly, the reuse of products, individual parts and material reduces the need for new production or generation and the associated consumption of energy and resources. Secondly, it helps to avoid the generation of waste. Early consideration of circular economic principles in product development processes is essential to specifically promote reuse, reparability and recycling. Efficient recycling of assemblies requires well-defined strategies. However, various challenges hinder the efficiency of technical recycling processes in industrial applications. This paper presents an Ishikawa (fishbone) diagram-based approach to systematically identify and categorize these influences. The method is implemented within an industrial framework, highlighting key obstacles such as material composition, design constraints, use of technology, framework conditions, economic limitations and regulatory challenges. By applying a scenario analysis, this approach examines potential future developments and their impact on recycling-oriented design choices. This helps to identify critical influencing factors and supports the development of resilient and sustainable industrial practices. This framework will serve as the foundation for developing an automated approach to circular design, enabling industries to more effectively integrate sustainability into their processes and adapt to changing environmental demands.}},
  author       = {{Rohde, Katharina and Gonzalez, Barbara Fernandez and Budde, Finn Lukas and Ott, Manuel and Mozgova, Iryna and Mendibe, Alain Alonso}},
  booktitle    = {{Safe and Sustainable Value Creation by Design - Proceedings of the 21st Global Conference on Sustainable Manufacturing}},
  editor       = {{Kohl, Holger and Seliger, Günther and Dietrich, Franz and Campana, Giampaolo}},
  location     = {{Bologna, Italy}},
  pages        = {{378--395}},
  publisher    = {{Springer Nature Switzerland AG}},
  title        = {{{Unveiling Barriers to Recycling with a Focus on Design: An Ishikawa Diagram-Based Approach with Industrial Application}}},
  doi          = {{https://doi.org/10.1007/978-3-032-21157-6_43}},
  volume       = {{1}},
  year         = {{2026}},
}

@inproceedings{64820,
  abstract     = {{Political goals, emerging EU sustainability regulations, and industrial digitalization are driving the introduction of Digital Product Passports (DPPs) to enhance transparency, traceability, and compliance across product life cycles. However, the appropriate granularity of DPP integration across product architectures remains ambiguous. This paper introduces a structured, decision-oriented framework that links product structure, regulatory relevance, and information depth to define consistent DPP levels, supporting both industry implementation and future standardization.}},
  author       = {{Rohde, Katharina and Budde, Finn Lukas and Patrício, Bárbara and Ferreira, Tânia and Gonçalves, Ana and Ott, Manuel and Mozgova, Iryna}},
  booktitle    = {{Proceedings of the Design Society}},
  keywords     = {{digital product passport, product architecture, circular economy, information granularity, decision-making framework}},
  location     = {{Cavtat, Dubrovnik, Croatia}},
  pages        = {{1511--1520}},
  publisher    = {{Cambridge University Press}},
  title        = {{{Digital product passports and the challenge of product structure granularity: A decision-making framework for the level of DPP integration}}},
  doi          = {{https://doi.org/10.1017/pds.2026.10509}},
  volume       = {{6}},
  year         = {{2026}},
}

@inproceedings{66288,
  abstract     = {{<jats:title>ABSTRACT:</jats:title>
                  <jats:p>Engineers simulate system behavior to support decisions in product engineering. Leveraging such engineering simulation data in strategic product planning can support idea generation and early evaluation of design alternatives and limitations. However, limited resources and expertise hinder broader uptake in strategic product planning. This paper investigates simulator integration into automated workflows and key processing components to enable simulation without in-depth expertise. This approach improves strategic product planning by creating data-based decision support.</jats:p>}},
  author       = {{Gräßler, Iris and Döhner, Niklas}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  keywords     = {{simulation-based design, design tools, multi-/cross-/trans-disciplinary approaches, simulation data reuse}},
  pages        = {{357--366}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration}}},
  doi          = {{10.1017/pds.2026.10394}},
  volume       = {{6}},
  year         = {{2026}},
}

@inbook{66332,
  author       = {{Gräßler, Iris and Rarbach, Sven and Pottebaum, Jens}},
  booktitle    = {{Nachhaltigkeit in der Produktentwicklung}},
  isbn         = {{9783658521165}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{PLM und Datenökosysteme für eine MBSE-basierte zirkuläre Wertschöpfung}}},
  doi          = {{10.1007/978-3-658-52117-2_17}},
  year         = {{2026}},
}

@article{65085,
  author       = {{Altun, Osman and Ott, Manuel and Meihöfener, Niclas and Budde, Finn and Mozgova, Iryna}},
  issn         = {{1877-0509}},
  journal      = {{Procedia Computer Science}},
  pages        = {{344--353}},
  publisher    = {{Elsevier BV}},
  title        = {{{Leveraging Large Language Models in Engineering Design and Product Development: A Snapshot}}},
  doi          = {{10.1016/j.procs.2026.02.040}},
  volume       = {{276}},
  year         = {{2026}},
}

@inbook{66314,
  author       = {{Mozgova, Iryna and Altun, Osman and Ott, Manuel and Rohde, Katharina}},
  booktitle    = {{Nachhaltigkeit in der Produktentwicklung}},
  isbn         = {{9783658521165}},
  publisher    = {{Springer Fachmedien Wiesbaden}},
  title        = {{{Ressourceneffiziente Produktentwicklung: Synergien von Leichtbau und Nachhaltigkeit in Optimierungsprozessen}}},
  doi          = {{10.1007/978-3-658-52117-2_13}},
  year         = {{2026}},
}

@inproceedings{66385,
  author       = {{Schiebel, Fabian Benedikt and Bodden, Eric}},
  booktitle    = {{40th European Conference on Object-Oriented Programming (ECOOP 2026)}},
  editor       = {{Krebbers, Robbert and Silva, Alexandra}},
  isbn         = {{978-3-95977-423-9}},
  issn         = {{1868-8969}},
  location     = {{Brussels}},
  pages        = {{23:1–23:28}},
  publisher    = {{Schloss Dagstuhl – Leibniz-Zentrum für Informatik}},
  title        = {{{Scaling Bottom-Up IFDS Taint Analysis with Optimized Data-Flow Encoding}}},
  doi          = {{10.4230/LIPIcs.ECOOP.2026.23}},
  volume       = {{372}},
  year         = {{2026}},
}

@inproceedings{66545,
  abstract     = {{The key to achieving energy efficiency and reducing carbon emissions in transportation lies in the effectiveness of vehicles and their associated mechatronic systems. A notable example of a mechatronic system is the headlamp at the front of a vehicle, which emits adaptive headlights, such as the well-known adaptive cornering lights or glare-free high beam. The rise of these and other Advanced Driver Assistance Systems (ADAS) has led to a proliferation of sensor data. However, the full potential of ADAS sensor data for increasing energy efficiency has not yet been exploited in the past. This study demonstrates that utilizing the data to dynamically adapt headlights to the upcoming driving scenario leads to a substantial reduction in power consumption. This objective is pursued by focusing on the predominant carbon footprint driver, namely the low beam.}},
  author       = {{Fittkau, Niklas and Bußemas, Leon and Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}},
  booktitle    = {{2026 IEEE Intelligent Vehicles Symposium (IV)}},
  keywords     = {{intelligent headlights, energy efficiency, ecodriving, decarbonization, matrix LED headlights, adaptive realtime control, ADAS systems, feedforward control, simulation}},
  location     = {{Detroit}},
  publisher    = {{IEEE}},
  title        = {{{Intelligent headlights boost energy efficiency and drive decarbonization}}},
  volume       = {{37}},
  year         = {{2026}},
}

@techreport{66548,
  abstract     = {{The Circular Economy is considered a key approach to addressing resource scarcity, rising raw material prices, and the need for more resilient value chains. However, its practical implementation is often hindered by the lack of suitable and standardized metrics, as well as by high requirements for horizontal and vertical data integration. This white paper illustrates, through selected Manufacturing-X projects, how federated data ecosystems can help establish Circular Economy metrics as an effective management instrument for growth, margin protection, and resilience.
Based on literature, industrial practice, and demonstrators, Circular Economy metrics are structured into four groups: overarching assessment approaches, disassembly-related indicators, lifetime-oriented metrics, and end-of-life and recycling-focused indicators. Use cases from Construct-X, Decide4ECO, Fluid 4.0, Chem-X, and other Manufacturing-X initiatives demonstrate the benefits of data-driven approaches for product, component, and material loops. At the same time, they reveal a current lack of interoperable, cross-industry standards for both metrics and data models.
The white paper concludes that data ecosystems such as Manufacturing-X are a key enabler for scaling circular business models. In particular, shared cross-sector frameworks for metrics, standardized information models based for example on the Asset Administration Shell, and the integration of circular metrics into existing systems and processes are essential. The work presented therefore marks an important step toward a data-driven and economically viable Circular Economy.}},
  author       = {{Pottebaum, Jens and Dietrich, Katrin and Schmidt, Lara and Biglari, Mostafa and Schmidt, Michael-Georg and Pistillo, Alessandro and Gravina, Nadja and Schmidt, Franziska}},
  keywords     = {{Circular Economy, Circular Economy Metrics, Manufacturing-X, Data Ecosystems}},
  publisher    = {{Manufacturing-X Guidance Board}},
  title        = {{{Understanding the Value of Data Ecosystems for Circular Economy Metrics}}},
  doi          = {{10.24406/PUBLICA-9382}},
  year         = {{2026}},
}

@article{66554,
  author       = {{Arsenyeva, Olga and Breuer, Niklas and Riepin, Yevhenii and Grünewald, Marcus and Riese, Julia}},
  issn         = {{2451-9049}},
  journal      = {{Thermal Science and Engineering Progress}},
  publisher    = {{Elsevier BV}},
  title        = {{{Method for estimation of plate heat exchanger design for a flexible methanol–water distillation column}}},
  doi          = {{10.1016/j.tsep.2026.104855}},
  year         = {{2026}},
}

@book{66654,
  author       = {{Heinrichs, Ulrike and Herrmann, Sabine and Schwieger, Olaf and Schumann, Dirk and Kuhn, Michaela and Knödler, Julia and Borchert-Pickenhan, Jens and Voigt, Martina and Stork, Hans-Walter and von Perger, Mischa and Knüvener, Peter and Fabritius, Helga and Möhlenkamp, Annegret and Hasselmann, Cord-Georg}},
  isbn         = {{ISBN 978-3-98501-421-7}},
  pages        = {{665}},
  publisher    = {{arthistoricum.net}},
  title        = {{{Der Wandmalereizyklus zu den Wissenschaften und Künsten in der Brandenburger Domklausur im Kontext}}},
  doi          = {{10.11588/ARTHISTORICUM.1740}},
  year         = {{2026}},
}

@article{66457,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>The service life of fatigue-loaded components that already contain manufacturing‑induced microcracks is primarily governed by the direction and the rate of fatigue-crack growth. When multiple loading components (e.g., tension, compression, shear) act simultaneously but not in temporal synchrony, out‑of‑phase mixed‑mode conditions occur. Such loadings are typical for automotive chassis parts and mechanically joined sheet‑metal assemblies. For optimized design of structural components, the crack kinking angle that occurs under mixed‑mode loading must be predicted as accurately as possible. At present, however, this is still challenging for out‑of‑phase loading conditions. To investigate the associated crack kinking behavior, a novel Compact‑Tension‑Shear‑Mini (CTSM) specimen was developed, enabling controlled generation of plane out-of-phase mixed-mode loading states. Experiments were performed under various combinations of cyclic and static mode I and mode II load components and compared with the analytical predictions of the Out-of-Phase Mixed-Mode (OMM) concept. The measured crack kinking angles showed very good agreement with the predicted values, with mean deviations of only a few degrees, demonstrating the validity and reproducibility of the approach. These findings confirm the applicability of the OMM concept for describing fatigue‑crack propagation under non‑proportional mixed‑mode loading and provide a basis for fatigue‑life assessment of clinched joints and other cyclic multi-axially loaded components.</jats:p>}},
  author       = {{Krome, Sven and Kullmer, Gunter and Weiß, Deborah and Duffe, Tobias and Ostwald, Richard}},
  issn         = {{2731-6564}},
  journal      = {{Discover Mechanical Engineering}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Experimental determination of kinking angles with out-of-phase mixed-mode loading by means of a novel specimen geometry}}},
  doi          = {{10.1007/s44245-026-00236-5}},
  volume       = {{5}},
  year         = {{2026}},
}

@article{66673,
  abstract     = {{<jats:p>Investigating crack growth in sheet metal originating from clinched joints is a major part of predicting the service life of mechanically joined structures. Clinching allows different materials to be joined together. A key task in this context is to perform crack growth simulations in the vicinity of clinched joints considering different load and environmental conditions. This requires formulaic descriptions of the fatigue crack growth rate curves for the materials used. For this purpose, fatigue crack growth rate curves for different R-ratios and temperatures are determined experimentally. Generally, these fatigue crack growth rate curves can be described very well using a novel two-part exponential approach for the formulaic description of fatigue crack growth rate curves developed at Applied Mechanics of Paderborn University (FAM). In this case, three parameters are sufficient to describe the fatigue crack growth rate curves. For the material HCT590X, which is frequently used in clinched joints, it is shown as an example how the parameters vary with the R-ratio and the temperature. In addition, at high crack growth rates, a significant rise in the fatigue crack growth rate curve sometimes occurs at both low and high temperatures. To account for this feature, the two-part exponential approach can be expanded to include a third part.</jats:p>}},
  author       = {{Kullmer, Gunter and Krome, Sven and Weiß, Deborah and Schramm, Britta and Ostwald, Richard}},
  issn         = {{2075-4701}},
  journal      = {{Metals}},
  number       = {{8}},
  publisher    = {{MDPI AG}},
  title        = {{{Influence of the R-Ratio and the Temperature on the Coefficients of a Novel Exponential Approach for the Formulaic Description of Fatigue Crack Growth Rate Curves}}},
  doi          = {{10.3390/met16080835}},
  volume       = {{16}},
  year         = {{2026}},
}

@inproceedings{66514,
  abstract     = {{Manufacturing companies increasingly integrate the strive towards sustainability into product engineering to reduce resource consumption and environmental impacts. A substantial share of a product’s environmental performance is determined during engineering. Early assessments rely on generic data, which is gradually replaced by more concrete simulation and primary data as product maturity increases. The effective use of engineering simulation models for Life Cycle Assessment (LCA) therefore remains a central challenge under heterogeneous, distributed and rapidly evolving data. This article presents a systematic review of product engineering approaches for integrating simulation models into LCA. A seven-step research approach is applied to identify, categorize and evaluate existing approaches across CAx tools. Relevant simulation parameters for sustainability assessment, including material properties, process descriptors, consumables and waste streams, are identified and analyzed. Based on identified data characteristics, the potential of Data Science and Artificial Intelligence methods for LCA data preparation is assessed. A conceptual knowledge-graph-based decision support approach is derived to enable structured integration, traceability and reuse of simulation data for sustainability assessment. The approach is evaluated using criteria from literature. Structured integration of simulation data improves early-stage data quality and supports decision-making in sustainable product engineering.}},
  author       = {{Gräßler, Iris and Aydin, Simon and Rarbach, Sven}},
  booktitle    = {{1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}},
  editor       = {{Gräßler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{Universitätsbibliothek}},
  title        = {{{Systematic review of engineering simulation models for life cycle assessment}}},
  doi          = {{10.17619/UNIPB/1-2637}},
  year         = {{2026}},
}

@inproceedings{66683,
  abstract     = {{Design for Assembly, Disassembly and Reassembly (DfADR) prepares for high levels of material circularity in terms of repair and remanufacturing. The intention of reassembling products and their part simplies that inspection and sorting need to be integrated with value-conserving objectives. Further, disassembly and reassembly require higher competence levels of workforce than assembly. To provide the required information during engineering, a metadata model (MDM) is required that links established product models to capability models. Since processes to be carried out for realizing a product largely determine required employees’ capabilities, the proposed approach uses the ADR process domain to connect product and capability domains. The research is based on a systematic literature analysis to identify existing approaches regarding MDMs of ADR processes. Based on the results, an integrative MDM is developed that answers defined competence questions. The model enables queries which support engineers by feedback on which skills are required for a product. This builds up a basis to check whether required skills are available in the manufacturing company, either early in product engineering or later in ADR planning.}},
  author       = {{Gräßler, I. and Hesse, Thomas and Pottebaum, Jens}},
  booktitle    = {{1st International Symposium on Hybrid Intelligence in Product and Production Engineering}},
  editor       = {{Graessler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{Universitätsbibliothek}},
  title        = {{{Enabling extreme data by using DS/AI approaches}}},
  doi          = {{10.17619/UNIPB/1-2640}},
  year         = {{2026}},
}

@proceedings{66704,
  editor       = {{Gräßler, Iris}},
  location     = {{Paderborn}},
  publisher    = {{Universitätsbibliothek}},
  title        = {{{1st International Symposium : March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}}},
  doi          = {{10.17619/UNIPB/1-2663}},
  year         = {{2026}},
}

@article{66764,
  abstract     = {{<jats:title>ABSTRACT</jats:title>
                  <jats:p>
                    Methane, synthesized from renewable hydrogen and biogenic CO
                    <jats:sub>2</jats:sub>
                    , can be a part of the transformation towards renewable energy carriers. A major engineering challenge is the optimization of the fixed‐bed reactor design, specifically the heat dissipation in regions of high reaction heat release. A mitigation concept is the introduction of inert material into the fixed bed, called catalyst dilution. In this study, a 1D continuity model is presented, which aims to predict catalyst superheating. This model is used in an exploratory study to identify system sensitivity and optimization parameters. Subsequently, an optimization framework for improving the reactor design is tested, resulting in a 148‐K reduction in peak catalyst temperature when using a 33.3 vol% catalyst dilution.
                  </jats:p>}},
  author       = {{Schmücker, Torben and Riese, Julia}},
  issn         = {{0009-286X}},
  journal      = {{Chemie Ingenieur Technik}},
  publisher    = {{Wiley}},
  title        = {{{Model‐Based Optimization Framework for Catalyst Dilution Applications in CO2‐Methanation Reactors}}},
  doi          = {{10.1002/cite.70162}},
  year         = {{2026}},
}

@article{66791,
  abstract     = {{<jats:title>Abstract</jats:title>
                  <jats:p>Roller shells of twin-roll-caster (TRC) are subjected to wear and tear due to their usage in harsh casting and forming conditions. Therefore, their durability is significantly shortened by the need to refinish the surface to reinstate suitable surface parameters for rolling and casting thin aluminium or other metal strips. To extend the lifetime of the rollers, a solution to repair the surface has to be found. Due to the constraints in the TRC process, most surface repair processes are not suitable, too complex (multistage heat treatment) or too expensive. Hence, high velocity oxygen fuel (HVOF) is a viable solution for applying a repair surface onto worn-down rollers, as this process is well-known and understood, already established in the industry, and potentially possible to integrate into the TRC process environment without disassembling the roller from the machine.</jats:p>}},
  author       = {{Lauth, Martin and Hoyer, Kay-Peter and Voswinkel, Dietrich and Gräfen, Winfried and Schaper, Mirko}},
  issn         = {{2194-1831}},
  journal      = {{HTM Journal of Heat Treatment and Materials}},
  number       = {{4}},
  pages        = {{166--178}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Adapting the HVOF Process for the Repair of Twin-Roll-Caster Shells}}},
  doi          = {{10.1515/htm-2026-0017}},
  volume       = {{81}},
  year         = {{2026}},
}