Query returned 1281 results.
Facilitating the Implementation of Data-Driven Processes in Product Development
Yevgeni Paliyenko; Christopher Langner; Benedikt Muller; Valesko Dausch; Daniel Roth; Matthias Guertler; Matthias Kreimeyer // 2024
The use of Data-Driven Design (DDD) plays a pivotal role in transforming the design and development processes within various industries through the extensive use of data to extract valuable insights, ...
FUN AND STRESS: INVESTIGATING STUDENTS’ EXPERIENCE OF FOUNDATIONAL DESIGN COURSES
Khan, Sumbul; Blessing, Lucienne // 2024
1 INTRODUCTION Design education usually employs project-based learning, in which students learn to research, plan, design and reflect on the creation of technological projects [1], [2]. Student<University name removed for blind review> ...
FUTURE PROOFING COMPUTER-AIDED DESIGN EDUCATION THROUGH AI-DRIVEN E-LEARNING
Kravchenko, Olga; Green, Stephen // 2024
Since the emergence of Computer Aided Design (CAD) software in 1957, educators have been committed to equipping design engineering students with proficiency in the most widely employed CAD tools in ...
Generation of Rule-Based Variance Schemes Towards a Data-Driven Development of High-Variant Product Portfolios
Thorsten Schmidt; Steffen Marbach; Frank Mantwill // 2024
The management of product portfolios with high variance is complex due to the underlying constraints as well as prone to errors due to uncertainty and dynamics in the historical data. The ...
GENERATIVE AI IN DESIGN EDUCATION: BUSINESS AS USUAL, A TROUBLEMAKER, OR A GAME CHANGER?
Wilhelmsen, Åshild; Haneberg, Dag Håkon; Sivertsen, Ingrid Oline Berg; Alsos, Ole Andreas; Solvoll, Sølvi // 2024
Higher education institutions (HEI) are facing fundamental questions regarding students’ use of artificial intelligence (AI) tools in the form of large language model (LLM) based chatbots. Students ...
HOLISTIC SYNTHESIS OF THEORY AND PRACTICE IN CAE EDUCATION FOR ENGINEERS
Kröpfl, Patrick; Ortner-Pichler, Alexander; Landschützer, Christian // 2024
In recent years, the demands placed on engineers and designers have undergone a significant transformation, largely due to the increased reliance on computer-aided engineering (CAE) systems, ...
IMMERSIVE LEARNING IN AGRICULTURE: XR DESIGN OF ROBOTIC MILK PRODUCTION PROCESSES
González de Cosío Barrón, Arturo; Gonzalez Almaguer, Carlos Alberto; Berglund, Anders; Apraiz Iriarte, Ainhoa; Saavedra Gastelum, Veronica; Peñalva, Jorge // 2024
During the confinement of COVID-19, learning about virtual and augmented reality grew exponentially; universities were the accelerators of this knowledge. Distance learning was the trigger to ...
IS AI ‘JUST’ A NEW TECHNOLOGY? ON INTEGRATING AI EDUCATION IN DIGITAL DESIGN CURRICULA
van Turnhout, Koen; Shayan, Shakila; Smits, Aletta // 2024
Many design schools struggle with questions of how recent AI advancements should be integrated into their curriculum. This is especially challenging for curricula with a substantial digital design ...
IT’S ABOUT TIME: WHAT CAN WE LEARN BY HAVING UNIVERSITY DESIGN STUDENTS TRACK TIME?
Christensen, Seth Youd; Ringger, Jackson // 2024
In this study, over one hundred undergraduate students across three courses track time spent on a design course. Students received points only for measuring and reporting time and not for the ...
MATERIALITY AND THE MACHINE. MAXIMISING MATERIAL EXPERIENCES IN THE AGE OF AI
Almrott, Ceri; Colton, Keith; Ennis, Mark; O'Connor, Ina // 2024
There has been much written about the importance and impact of artificial intelligence and its associated technologies and the place they will have within the design field[1][2]. No doubt artificial ...
Methodology for Support of Battery System Development with Format-Flexible Pouch-Cells Using Model-Based-Systems-Engineering
Zeng, Yunying; Muller-Welt, Philip; Bause, Katharina // 2024
This paper explores the evolving complexity of multidisciplinary development processes in battery systems. Designing battery systems with format-flexible cells challenges traditional approaches by ...
Methods and Approaches for the Development of new Lifetime Models and their Integration in Digital Twins
Robin Bauer; Adrian Reuther; Christian Plesker; Benjamin Schleich; David Inkermann // 2024
To implement a degradation model in a Digital Twin, the degra-da-tion of a filament nozzle for Fused Deposition Modeling (FDM) is analysed. The nozzle orifice diameter undergoes an expansion due to ...
Minimal Data, Maximal Impact: Language Model-based Pipelines for the Automatic Generation of Use Case Diagrams from Requirements
Simon Schleifer; Adriana Lungu; Benjamin Kruse; Sebastiaan van Putten; Stefan Goetz; Sandro Wartzack // 2024
Striving for unique selling points leads to an increase in product requirements, which are prevalently written in natural language. In order to mitigate inherent ambiguities in these requirements ...
Modeling a sustainability-oriented development process with model-based systems engineering
Maximilian Peter Dammann; Paul Hoffeins; Julian Barth; Bernhard Saske; Kristin Paetzold-Byhain; Niels Modler // 2024
The shift towards sustainability-oriented product development demands early integration of sustainability criteria, a challenge due to the lack of effective methods and data. Expanding on existing ...
Optimizing the individual design of revision hip implants – evaluating the effects for bone and stem using patient-specific finite element models
David Scherb; Maria Helena Barbosa; Harald Volkl; Christopher Fleischmann; Marcel Betsch; Stefan Sesselmann; Sandro Wartzack; Jorg Miehling // 2024
Patient-specific musculoskeletal models (MSM) can improve the selection and positioning of revision total hip arthroplasty (THA) during preoperative planning. By accounting for muscle weakening due ...
PARTNERING WITH THE INTELLIGENCE COMMUNITY TO ENHANCE AI INTERFACE DESIGN EDUCATION
Oh, David // 2024
Artificial intelligence (AI) is increasingly expanding its capabilities and presence in fields because today's industry demands working with big data to extract meaningful user insights to align its ...
Product production ecosystems for the reuse of modules in the extended product life cycle
Sven Wehrend; Konrad Frischkorn; Magda Berkhahn; Thomas Eickhoff; Jan Rei // 2024
This paper examines the circularity of products across different product types. The focus is on short circulation paths such as remanufacturing and refurbishing, which offer the greatest value ...
Requirements Analysis of a Research Data Management System in Collaborative Projects
Mueller, Laura; Schultz, Andreas Maximilian; Altun, Osman; Uhe, Johanna; Koepler, Oliver; Auer, Soeren; Mozgova, Iryna // 2024
The collection, analysis, and reuse of data throughout the entire product lifecycle and the resulting potential are establishing in engineering context. Research Data Management (RDM) systems are ...
Requirements for utilizing student projects as validation environment for design methods and collecting research data
Christoph Wittig; Christoph Zimmerer; Jonas Hemmerich; Sven Matthiesen // 2024
Student projects represent a middle ground between lab and industry studies, with both controlled conditions and realistic development scenarios. The problem is that there is no comprehensive list of ...
Research Data Management Workflow – A Framework for Engineering Science
Wawer, Max Leo; Wurst, Johanna; Lachmayer, Roland // 2024
Many research results in engineering science are based on the further processing of digital objects, which increases the need for reusable data. In this context, researchers are becoming increasingly ...
Spearhead Data-Driven Model-Based Systems Engineering: Interview Study on Definition, Preconditions, Challenges, Potentials, and Use Cases
Tissen, Denis; Wiederkehr, Ingrid; Bernijazov, Ruslan; Koldewey, Christian; Dumitrescu, Roman // 2024
Digital technologies change how companies develop their products and services. Data-driven model-based systems engineering (DDMBSE) addresses this by integrating data analytics (DA) into MBSE. As an ...
STUDENTS’ EXPERIENCES FROM USING AI IN ENGINEERING EDUCATION
Heimdal, Anette; Lande, Ingrid; Almlie, Gunvor Sofia; Roaldsøy, Eline Øverbø // 2024
Over the past year AI has become highly available for everyone, including students in higher education. Initially, the universities did not want the students to use AI in their examinational projects ...
SUPERVISION OF DESIGN PHD STUDENTS IN AN ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE
Caillaud, Emmanuel; Skec, Stanko // 2024
Supervising a PhD thesis implies guiding a student through the mastery of skills and competences essential for a PhD student. Upon completion of a PhD thesis, PhD student should become an autonomous ...
Testing the Generalizability of Deep Learning Based Plausibility Detection with Unknown Finite Element Simulations
Bickel, Sebastian; Stefan, Goetz; Sandro, Wartzack // 2024
Shorter development times and greater product variety are necessary in the current business world. These challenges can be managed with virtual testing methods, but these require experienced ...
Boolean Searches
The following examples demonstrate some search strings that use boolean operators:
- design community
Find rows that contain at least one of the two words. - +design +community
Find rows that contain both words. - +design community
Find rows that contain the word “design”, but rank rows higher if they also contain “community”. - +design -community
Find rows that contain the word “design” but not “community”. - +design ~community
Find rows that contain the word “design”, but if the row also contains the word “community”, rate it lower than if row does not. - +design +(>community <decisions)
Find rows that contain the words “design” and “community”, or “design” and “decisions” (in any order), but rank “design community” higher than “design decisions” - design*
Find rows that contain words such as “design”, “designs”, “designing”, or “designer”. - "some words"
Find rows that contain the exact phrase “some words” (for example, rows that contain “some words of wisdom” but not “some noise words”). Note that the " characters that enclose the phrase are operator characters that delimit the phrase. They are not the quotation marks that enclose the search string itself.