@article{34214,
  abstract     = {{This article presents the application and evaluation of a cantilever with integrated sensing and actuation as part of an atomic force microscope (AFM) with an adjustable probe direction, which is integrated into a nano measuring machine (NMM-1). The AFM, which is operated in closed-loop intermittent contact mode, is based on two rotational axes that enable the adjustment of the probe direction to cover a complete hemisphere. The axes greatly enlarge the metrology frame of the measuring system by materials with a comparatively high coefficient of thermal expansion, which ultimately limits the achievable measurement uncertainty of the measuring system. Thus, to reduce the thermal sensitivity of the system, the redesign of the rotational kinematics is mandatory. However, in this article, some preliminary investigations on the application of a self-sensing cantilever with an integrated micro heater for its stimulation will be presented. In previous investigations, a piezoelectric actuator has been applied to stimulate the cantilever. However, the removal of the piezoelectric actuator, which is enabled by the application of a cantilever with an integrated micro heater, promises an essential simplification of the sensor holder. Thus, in the future it might be possible to use materials with a low coefficient of thermal expansion, which are often difficult to machine and therefore only allow for rather simple geometries. Furthermore, because of the creepage of piezoelectric actuators, their removal from the metrology frame might lead to improved metrological characteristics. As will be shown, there are no significant differences between the two modes of actuation. Therefore, the redesigned rotational system will be based on the cantilever with integrated sensing and actuation.}},
  author       = {{Schaude, Janik and Hausotte, Tino}},
  issn         = {{2520-811X}},
  journal      = {{Nanomanufacturing and Metrology}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Materials Science (miscellaneous)}},
  number       = {{2}},
  pages        = {{139--148}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Atomic Force Microscope with an Adjustable Probe Direction and Integrated Sensing and Actuation}}},
  doi          = {{10.1007/s41871-022-00143-9}},
  volume       = {{5}},
  year         = {{2022}},
}

@article{34414,
  abstract     = {{Given a steadily increasing demand on multi-material lightweight designs, fast and cost-efficient production technologies, such as the mechanical joining process clinching, are becoming more and more relevant for series production. Since the application of such joining techniques often base on the ability to reach similar or even better joint loading capacities compared to established joining processes (e.g., spot welding), few contributions investigated the systematic improvement of clinch joint characteristics. In this regard, the use of data-driven methods in combination with optimization algorithms showed already high potentials for the analysis of individual joints and the definition of optimal tool configurations. However, the often missing consideration of uncertainties, such as varying material properties, and the related calculation of their impact on clinch joint properties can lead to poor estimation results and thus to a decreased reliability of the entire joint connection. This can cause major challenges, especially for the design and dimensioning of safety-relevant components, such as in car bodies. Motivated by this, the presented contribution introduces a novel method for the robust estimation of clinch joint characteristics including uncertainties of varying and versatile process chains in mechanical joining. Therefore, the utilization of Gaussian process regression models is demonstrated and evaluated regarding the ability to achieve sufficient prediction qualities.}},
  author       = {{Zirngibl, Christoph and Schleich, Benjamin and Wartzack, Sandro}},
  issn         = {{0268-3768}},
  journal      = {{The International Journal of Advanced Manufacturing Technology}},
  keywords     = {{Industrial and Manufacturing Engineering, Computer Science Applications, Mechanical Engineering, Software, Control and Systems Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Robust estimation of clinch joint characteristics based on data-driven methods}}},
  doi          = {{10.1007/s00170-022-10441-7}},
  year         = {{2022}},
}

@article{47562,
  author       = {{Herrmann, Felix and Grünewald, Marcus and Meijer, Tobias and Gardemann, Ulrich and Feierabend, Lukas and Riese, Julia}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  publisher    = {{Elsevier BV}},
  title        = {{{Operating window and flexibility of a lab-scale methanation plant}}},
  doi          = {{10.1016/j.ces.2022.117632}},
  volume       = {{254}},
  year         = {{2022}},
}

@article{47561,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Additive manufacturing is a promising tool for tailored solutions in chemical engineering. This applies in particular to the design of lab‐scale packed bed columns. We present experimental results to characterize a lab‐scale 3D printed structured metal packing and compare it to a conventional counterpart. The results indicate that necessary adjustments for the manufacturing process of the metal material have an influence on important operating parameters, resulting in higher specific pressure drop, slightly higher liquid holdup and lower mass transfer efficiency.</jats:p>}},
  author       = {{Riese, Julia and Reitze, Arnulf and Grünewald, Marcus}},
  issn         = {{0009-286X}},
  journal      = {{Chemie Ingenieur Technik}},
  keywords     = {{Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  number       = {{7}},
  pages        = {{993--1001}},
  publisher    = {{Wiley}},
  title        = {{{Experimental Characterization of 3D Printed Structured Metal Packing with an Enclosed Column Wall}}},
  doi          = {{10.1002/cite.202200002}},
  volume       = {{94}},
  year         = {{2022}},
}

@article{47556,
  author       = {{Herrmann, Felix and Grünewald, Marcus and Meijer, Tobias and Gardemann, Ulrich and Riese, Julia}},
  issn         = {{0888-5885}},
  journal      = {{Industrial &amp; Engineering Chemistry Research}},
  keywords     = {{Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  number       = {{27}},
  pages        = {{9644--9657}},
  publisher    = {{American Chemical Society (ACS)}},
  title        = {{{Performance of a Laboratory-Scale Methanation Plant with Catalyst Dilution under Dynamic Operating Conditions}}},
  doi          = {{10.1021/acs.iecr.2c00871}},
  volume       = {{61}},
  year         = {{2022}},
}

@article{40644,
  author       = {{Al-Lami, Abbas Jarullah Sangoor and Kenig, Eugeny Y. and Inguva, Venkatesh}},
  issn         = {{1359-4311}},
  journal      = {{Applied Thermal Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Energy Engineering and Power Technology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Numerical analysis of conjugate heat transfer within internally channeled tubes}}},
  doi          = {{10.1016/j.applthermaleng.2022.119596}},
  volume       = {{223}},
  year         = {{2022}},
}

@article{29505,
  abstract     = {{In modern vehicle chassis, multi-material design is implemented to apply the appropriate material for each functionality. In spaceframe technology, both sheet metal and continuous cast are joined to castings at the nodal points of the chassis. Since resistance spot welding is not an option when different materials are joined, research is focusing on mechanical joining methods for multi-material designs. To reduce weight and achieve the required strength, hardenable cast aluminium alloys of the AlSi-system are widely used. Thus, 85–90% of aluminium castings in the automotive industry are comprised of the AlSi-system. Due to the limited weldability, mechanical joining is a suitable process. For this application, various optimisation strategies are required to produce a crack-free joint, as the brittle character of the AlSi alloy poses a challenge. Thus, adapted castings with appropriate ductility are needed. Hence, in this study, the age-hardenable cast aluminium alloy AlSi10Mg is investigated regarding the correlation of the different thicknesses, the microstructural characteristics as well as the resulting mechanical properties. A variation of the thicknesses leads to different solidification rates, which in turn affect the microstructure formation and are decisive for the mechanical properties of the casting as well as the joinability. For the investigation, plates with thicknesses from 2.0 to 4.0 mm, each differing by 0.5 mm, are produced via sand casting. Hence, the overall aim is to evaluate the joinability of AlSi10Mg and derive conclusions concerning the microstructure and mechanical properties.</jats:p>}},
  author       = {{Neuser, Moritz and Grydin, Olexandr and Frolov, Y. and Schaper, Mirko}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Influence of solidification rates and heat treatment on the mechanical performance and joinability of the cast aluminium alloy AlSi10Mg}}},
  doi          = {{10.1007/s11740-022-01106-1}},
  year         = {{2022}},
}

@article{53237,
  author       = {{Tavana, Madjid and Kian, Hadi and Nasr, Arash Khalili and Govindan, Kannan and Mina, Hassan}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Elsevier BV}},
  title        = {{{A comprehensive framework for sustainable closed-loop supply chain network design}}},
  doi          = {{10.1016/j.jclepro.2021.129777}},
  volume       = {{332}},
  year         = {{2022}},
}

@article{53242,
  author       = {{Ebadi Torkayesh, Ali and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{A multi-distance interval-valued neutrosophic approach for social failure detection in sustainable municipal waste management}}},
  doi          = {{10.1016/j.jclepro.2022.130409}},
  volume       = {{336}},
  year         = {{2022}},
}

@article{35728,
  abstract     = {{Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}},
  author       = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Digital transformation, Public data spaces, Digital platforms, GAIA-X}},
  pages        = {{493--501}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{From private digital platforms to public data spaces: implications for the digital transformation}}},
  doi          = {{10.1007/s12525-022-00553-z}},
  volume       = {{32}},
  year         = {{2022}},
}

@inproceedings{36866,
  abstract     = {{Die additive Fertigung bietet die Möglichkeit, digitale Prototypen dank der
Besonderheit der werkzeuglosen Fertigung schnellstmöglich in reale Strukturen
umzusetzen. Dieses Verfahren kann jedoch nur dann mit optimaler Geschwindigkeit
genutzt werden, wenn Engpässe wirksam vermieden werden können. Einer dieser
Engpässe ist der Konstruktionsprozess. Gerade im Bereich der additiven Fertigung
sind in letzter Zeit immer leistungsfähigere Softwarelösungen erschienen, die das
Design für die additive Fertigung, einschließlich der meisten Computer-Aided-Design
(CAD)-Aufgaben, beschleunigen. In vielen Bereichen wird daher bereits versucht, so
viele Schritte wie möglich zu automatisieren, nicht selten unter Verwendung
neuronaler Netze und künstlicher Intelligenz. Dieser Beitrag zeigt am Beispiel einer
automatisierten Strukturoptimierung eines Stuhls, warum das Nutzen neuronaler
Netze im Konstruktionsprozess sinnvoll ist, um die Bereiche der konventionellen
Topologieoptimierung und des Generative Design weiter zu verknüpfen und somit die
Produktentwicklungszeit zu reduzieren.}},
  author       = {{Ott, Manuel and Meihöfener, Niclas and Koch, Rainer}},
  booktitle    = {{Bericht 407 - 7. Tagung des DVM-Arbeitskreises Additiv gefertigte Bauteile und Strukturen}},
  keywords     = {{Künstliche Intelligenz, Neuronale Netze, 3D-Druck, Design for Additive Manufacturing}},
  location     = {{Berlin}},
  pages        = {{91--106}},
  title        = {{{Neuronale Netze in der Konstruktion zur Ausschöpfung der Potentiale additiver Fertigungstechnologien}}},
  doi          = {{10.48447/ADD-2022-014}},
  volume       = {{7}},
  year         = {{2022}},
}

@article{43156,
  abstract     = {{The use of mechanical joining technologies offers the possibility of joining mixed material structures, which are used in particular in lightweight construction. An integrated securing of the joinability in versatile process chains is currently hardly possible as the number of combinable tool variants as well as variable force- and path-based process parameters is infinite. A versatile process chain, i.e. a sequence of all the processes and process steps required for product manufacturing, enables targeted changes to the semi-finished product, the joint, the component or the joining process that exceed the originally planned extend while still ensuring joinability. In detail, it leads to a unique joint with its own mechanical property profile, which, against the background of the resulting infinite number of combinations, makes it impossible to secure the joinability on the conventional experimentally based approach without extensive safety factors. The Transregional Colaborative Research Center 285 (TCRC285), which also initiated this special issue, is intended to enable mechanical joining technology to be versatile in the sense of high application flexibility. This is to be achieved with a numerical representation of the complete process chain from the incoming semi finished product via the joining part production and the joining process to the property profile of the joint in the operating phase. Thus a predictability of the joinability can be achieved and improvements in the individual life cycles of a joint can be realized by grasping the cause-and-effect relationships. On the basis of this knowledge, new possibilities for intervention in the joining process are to be created for the adaptation of the joining processes. With the aid of the methods developed for this purpose, tools will later be available to the end user to substitute the large number of mechanical joining processes or joining task-specific configurations with a smaller number of adaptable processes. This expands the flexibility in material choices, enabling challenges in environmental issues and sustainability to be overcome.}},
  author       = {{Meschut, Gerson and Merklein, Marion and Brosius, Alexander and Bobbert, Mathias}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  number       = {{2-3}},
  pages        = {{187--191}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Mechanical joining in versatile process chains}}},
  doi          = {{10.1007/s11740-022-01125-y}},
  volume       = {{16}},
  year         = {{2022}},
}

@article{34241,
  abstract     = {{Due to the increasing use of multi-material constructions and the resulting material incompatibilities, mechanical joining technologies are gaining in importance. The reasons for this are the variety of joining possibilities as well as high load-bearing capacities. However, the currently rigid tooling systems cannot react to changing boundary conditions, such as changed sheet thicknesses or strength. For this reason, a large number of specialised joining processes have been developed to expand the range of applications. Using a versatile self-piercing riveting process, multi-material structures are joined in this paper. In this process, a modified tool actuator technology is combined with multi-range capable auxiliary joining parts. The multi-range capability of the rivets is achieved by forming the rivet head onto the respective thickness of the joining part combination without creating a tooling set-up effort. The joints are investigated both experimentally on the basis of joint formation and load-bearing capacity tests as well as by means of numerical simulation. It turned out that all the joints examined could be manufactured according to the defined standards. The load-bearing capacities of the joints are comparable to those of conventionally joined joints. In some cases the joint fails prematurely, which is why lower energy absorptions are obtained. However, the maximum forces achieved are higher than those of conventional joints. Especially in the case of high-strength materials arranged on the die side, the interlock formation is low. In addition, the use of die-sided sheets requires a large deformation of the rivet head protrusion, which leads to an increase in stress and, as a result, to damage if the rivet head. However, a negative influence on the joint load-bearing capacity could be excluded.</jats:p>}},
  author       = {{Kappe, Fabian and Wituschek, Simon and Bobbert, Mathias and Lechner, Michael and Meschut, Gerson}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Joining of multi-material structures using a versatile self-piercing riveting process}}},
  doi          = {{10.1007/s11740-022-01151-w}},
  year         = {{2022}},
}

@article{30100,
  abstract     = {{Since the application of mechanical joining methods, such as clinching or riveting, offers a robust solution for the generation of advanced multi-material connections, the use in the field of lightweight designs (e.g. automotive industry) is steadily increasing. Therefore, not only the design of an individual joint is required but also the dimensioning of the entire joining connection is crucial. However, in comparison to thermal joining techniques, such as spot welding, the evaluation of the joints’ resistance against defined requirements (e.g. types of load, minimal amount of load cycles) mainly relies on the consideration of expert knowledge, a few design principles and a small amount of experimental data. Since this generally implies the involvement of several domains, such as the material characterization or the part design, a tremendous amount of data and knowledge is separately generated for a certain dimensioning process. Nevertheless, the lack of formalization and standardization in representing the gained knowledge leads to a difficult and inconsistent reuse, sharing or searching of already existing information. Thus, this contribution presents a specific ontology for the provision of cross-domain knowledge about mechanical joining processes and highlights two potential use cases of this ontology in the design of clinched and pin joints.</jats:p>}},
  author       = {{Zirngibl, Christoph and Kügler, Patricia and Popp, Julian and Bielak, Christian Roman and Bobbert, Mathias and Drummer, Dietmar and Meschut, Gerson and Wartzack, Sandro and Schleich, Benjamin}},
  issn         = {{0944-6524}},
  journal      = {{Production Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Provision of cross-domain knowledge in mechanical joining using ontologies}}},
  doi          = {{10.1007/s11740-022-01117-y}},
  year         = {{2022}},
}

@article{34244,
  author       = {{Kappe, Fabian and Zirngibl, Christoph and Schleich, Benjamin and Bobbert, Mathias and Wartzack, Sandro and Meschut, Gerson}},
  issn         = {{1526-6125}},
  journal      = {{Journal of Manufacturing Processes}},
  keywords     = {{Industrial and Manufacturing Engineering, Management Science and Operations Research, Strategy and Management}},
  pages        = {{1438--1448}},
  publisher    = {{Elsevier BV}},
  title        = {{{Determining the influence of different process parameters on the versatile self-piercing riveting process using numerical methods}}},
  doi          = {{10.1016/j.jmapro.2022.11.019}},
  volume       = {{84}},
  year         = {{2022}},
}

@article{29208,
  abstract     = {{The parameters required to calculate the energy efficiency of household refrigerating appliances (i.e. refrigerators, freezers and their combinations) are determined by standard measurements. According to regulations, these measurements are carried out when the appliances are new. It is known from previous studies that various technical aging mechanisms can increase electrical energy consumption by up to 36 % over a product lifespan of 18 years. In order to determine the time dependence of the energy consumption of household refrigerating appliances, repeated measurements are carried out in this work. Eleven new appliances are examined under standard measurement conditions. After just two years of operation, an additional energy consumption of up to 11 % is determined. Furthermore, 21 older appliances that had previously been measured in new condition are tested again after up to 21 years of operation. For these older appliances, an average increase of energy consumption of 28 % is found. For individual appliances, the maximum increase is 36 %. An aging model is developed on the basis of these measurement results, which may help to predict the aging-related increase of energy consumption of household refrigerating appliances. This model shows an average increase in energy consumption of 27 % for an appliance age of 16 years. Supplemental performance tests of eight compressors do not show any significant aging effects related to these devices after two years of operation. Furthermore, measurements of the thermal conductivity of aged polyurethane foam test samples are carried out and an increase of its thermal conductivity of 26 % over a period of about three years is determined.}},
  author       = {{Paul, Andreas and Baumhögger, Elmar and Elsner, Andreas and Reineke, Michael and Hueppe, Christian and Stamminger, Rainer and Hoelscher, Heike and Wagner, Hendrik and Gries, Ulrich and Becker, Wolfgang and Vrabec, Jadran}},
  issn         = {{1359-4311}},
  journal      = {{Applied Thermal Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Energy Engineering and Power Technology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Impact of aging on the energy efficiency of household refrigerating appliances}}},
  doi          = {{10.1016/j.applthermaleng.2021.117992}},
  volume       = {{205}},
  year         = {{2022}},
}

@article{44239,
  author       = {{Dai, Daokun and Kenig, Eugeny Y. and Numrich, Reiner}},
  issn         = {{0009-286X}},
  journal      = {{Chemie Ingenieur Technik}},
  keywords     = {{Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  number       = {{6}},
  pages        = {{905--911}},
  publisher    = {{Wiley}},
  title        = {{{Experimentelle Untersuchung der Tropfenkondensation am chemisch modifizierten Edelstahl‐Drallrohr}}},
  doi          = {{10.1002/cite.202100176}},
  volume       = {{94}},
  year         = {{2022}},
}

@article{41496,
  author       = {{Hein, Maxwell and Lopes Dias, Nelson Filipe and Kokalj, David and Stangier, Dominic and Hoyer, Kay-Peter and Tillmann, Wolfgang and Schaper, Mirko}},
  issn         = {{0142-1123}},
  journal      = {{International Journal of Fatigue}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials, General Materials Science, Modeling and Simulation}},
  publisher    = {{Elsevier BV}},
  title        = {{{On the influence of physical vapor deposited thin coatings on the low-cycle fatigue behavior of additively processed Ti-6Al-7Nb alloy}}},
  doi          = {{10.1016/j.ijfatigue.2022.107235}},
  volume       = {{166}},
  year         = {{2022}},
}

@article{41490,
  author       = {{Hein, Maxwell and Lopes Dias, Nelson Filipe and Kokalj, David and Stangier, Dominic and Hoyer, Kay-Peter and Tillmann, Wolfgang and Schaper, Mirko}},
  issn         = {{0142-1123}},
  journal      = {{International Journal of Fatigue}},
  keywords     = {{Industrial and Manufacturing Engineering, Mechanical Engineering, Mechanics of Materials, General Materials Science, Modeling and Simulation}},
  publisher    = {{Elsevier BV}},
  title        = {{{On the influence of physical vapor deposited thin coatings on the low-cycle fatigue behavior of additively processed Ti-6Al-7Nb alloy}}},
  doi          = {{10.1016/j.ijfatigue.2022.107235}},
  volume       = {{166}},
  year         = {{2022}},
}

@article{44236,
  author       = {{Wende, Marc and Staggenborg, Christoph and Kenig, Eugeny Y.}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  publisher    = {{Elsevier BV}},
  title        = {{{Modelling and simulation of zero-gravity distillation units with metal foams}}},
  doi          = {{10.1016/j.ces.2021.117097}},
  volume       = {{247}},
  year         = {{2022}},
}