Eldorado - Repositorium der TU Dortmund

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Bei diesem Service handelt es sich um das Institutionelle Repositorium der Technischen Universität Dortmund. Hier werden Ressourcen aus und für Lehre, Studium und Forschung gespeichert, erschlossen und der Öffentlichkeit zugänglich gemacht.

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Aktuellste Veröffentlichungen

Defining and assessing part complexity
(2026) Tjaden, Greta Tjadea; Meyer, Anne; Henke, Michael
Companies require information about their customers to maintain an attractive portfolio of products and services. This information is essential in different departments for a variety of tasks along the product life cycle. By providing this information based on data, decision-making processes can lead to more accurate outcomes and improved overall results. This thesis explores part complexity and its relevance in better understanding customer needs throughout the product lifecycle. The industry partner of and example used in this dissertation is TRUMPF, a German machinery and plant engineering company that builds machine tools for the sheet metal processing industry. Sheet metal processing contains process steps such as laser cutting, bending, and welding to manufacture sheet metal parts. The application possibilities are manifold, with use cases in industries such as automotive, construction, renewable energy, aerospace, and many more. Many researchers agree that part complexity represents the manufacturability of a part. However, we identify three major research gaps in this field: (1), there is no consensus regarding the research method of assessing part complexity but co-existing methods differ in how they investigate part complexity. (2), the part complexity influencing part characteristics have not been thoroughly researched, even less for our field of research, sheet metal processing. (3), only two part complexity use cases have been identified in the literature, despite the increasing demand for data-based information along the product life cycle. This thesis addresses these three research gaps with these contributions: (1), we develop a methodology for assessing part complexity and demonstrate its applicability by putting this research approach into practice. This methodology combines both qualitative and quantitative methods. (2), we conduct a computer-assisted self-assessment to let experts label the complexity of 80 parts. To facilitate this self-assessment, we develop a labelling tool that implements a visualization of the parts and provides additional part information. For complexity labeling, we implement a Likert scale ranging from 1 (least complex) to 5 (most complex), deliberately omitting the middle option “3” to encourage more definitive responses. Participants are also required to provide a written explanation for their chosen complexity rating. The participants of the computer-assisted self-interview are experts for the production unit that we chose as an example for our research endeavor. Furthermore, as an evaluation mechanism, we repeat a subset of 10 parts in each of the three weeks of the complexity labeling to assess the consistency of the participants’ labeling over time. Second, we observe a consensus of the labeling participants in some of the repeating geometries and a clear correlation between distinct part characteristics and the reasons given for the assigned complexity ratings. (3), we identify part complexity influencing part characteristics based on the results of the aforementioned research approach. (4), by conducting a focus group, we explore the application possibilities of part complexity for the three main stakeholder groups: product and portfolio management, research and development, and sales and consulting. These results add to the two use cases of part complexity that have already been identified in the literature and demonstrate the usefulness of part complexity as a contributor to data-based customer information along the product life cycle.
Amtliche Mitteilungen der Technischen Universität Dortmund Nr. 15/2026
(Technische Universität Dortmund, 2026-06-19)
Promoting structural sustainable design through the influence of quality control assessments
(2026-03-06) Lux, Til; Feiri, Tânia; Schulze-Ardey, Jan Philip; Hegger, Josef; Claßen, Martin; Ricker, Marcus
In structural reliability assessments, the selection of suitable parameters for the definition of stochastic models of component properties—such as concrete compressive strength, steel yield strength or geometric dimensions—is a prime requirement. Typically, during the production of structural components, several conformity control criteria, which are part of quality control assessments, are adopted to evaluate whether their properties comply with specified requirements. Previous investigations have demonstrated that the consideration of conformity control assessments in reliability studies might have a positive influence on the structural reliability of a component, thereby, enabling more material and resource efficient designs than conventional designs that do not take conformity control into account. In this investigation, a methodology grounded on the principles of reliability theory and Bayesian statistics is offered to quantify the positive effects of conformity control assessments in structural reliability levels. The practical application of this methodology is further demonstrated through an example extracted from previous investigations concerning the reliability level of a short concrete column subjected to compression. The results suggest that existing safety margins can be activated to adjust partial safety factors on the resistance side and, thus, optimise design solutions. Finally, possible improvements for the overall methodology are identified, opening avenues for the design of more sustainable structures.
Work in progress: use of wood‐based inserts in injection molding
(Wiley, 2026-03-20) Grundmann, David; Mainz, Michael; Munier, Leo; Dillenhöfer, Fabian; Pfriem, Alexander; Künne, Bernd; Bartz, Marcel
In the context of ever-shorter product development cycles and the necessary prototype development, the advantages of the injection molding process cannot be fully exploited because it is not possible to economically produce very small series. The aim of this study is to examine the suitability of soft tooling using wood-based mold inserts for small batch production in polymer injection molding. To this end, various types of wood are being tested in initial injection molding trials as part of this study, and their behavior under the process conditions is being compared. Those wooden molds are milled and tested in various injection molding tests. The produced parts as well as the used molds are then examined for wear, geometric accuracy and in terms of the tensile test specimen, for their load bearing capacity. It was shown that modified materials like laminated wood or compressed bamboo resist the loads of the injection molding process better than natural materials. Also, it was shown that the parts produced have a repeatable geometrical shape. After tool setup, it was possible to produce up to five consecutive workpieces of similar quality. Tensile tests showed reproducible strength values for ABS specimens while wood-fiber reinforced Polypropylene showed unpredictable behavior. Downsides of the new design approach are the longer cycle times which lead to material degradation and the fast wear of the wooden mold inserts.
The longitudinal relation between adolescents’ learning outcomes and internalizing symptoms: the role of ADHD symptoms
(Public Library of Science (PLoS), 2026-05-04) Visser, Linda; Ehm, Jan-Henning; Brandenburg, Janin; Chen, Mu-Hong
Objective The literature on bivariate relations between learning outcomes and symptoms of anxiety, depression, and ADHD is extensive. Much less research has been done into the trivariate longitudinal relations between learning outcomes, internalizing symptoms, and ADHD symptoms, which was the focus of the current study. Method The sample from the Adolescent Brain Cognitive Development (ABCD-) Study was largely representative for the US population in terms of, i.e., race and ethnicity and included 11,867 children aged 9 or 10 years (47.8% female; 52.2% male) at the start. Results The results of bi- and trivariate latent change score modelling with four timepoints showed that school records and symptoms of anxiety or depression were related, but school records did not predict these symptoms at the next timepoint, nor the other way around. ADHD was associated with both school records and symptoms of anxiety/ depression. Depression symptoms were a negative leading indicator of subsequent changes in ADHD. Conclusions The results suggest that ADHD symptoms do not form the main explanatory factor for the relation between school records and internalizing symptoms. They imply that it is important to recognize signs of depression at an early stage, so that such secondary problems can be prevented. Future research is needed to find underlying risk factors that can explain comorbidity, which can help identifying children with increased risk at an early stage.