bluuebunny/crossref_metadata_2025_split huggingface dataset:
A STUDY OF THE EARLY-STAGE ENGINEERING DESIGN ACTIVITIES IN PRACTICE
Authors: Obieke Chijioke C. , Milisavljevic-Syed Jelena , Han Ji 
Published: June 2023

AbstractThe early-stage engineering design activities include conceptualising, identifying, and solving an engineering design problem. These activities are essential and standard roles of a design engineer. However, they seem to lack comprehensive practice within the engineering design community. In this study, semi-structured interviews conducted with 18 participants having engineering design backgrounds are presented. The aim of the interviews is to investigate the awareness and practice of the early stage engineering design activities. The participants interviewed practice in countries including France, the United Kingdom, and the United States. Contrary to standard expectations, the results of the interviews show that the early-stage engineering design activities are not comprehensively practised. The results suggest that design engineers' crucial role in identifying unknown problems lacks practice. Also, the data from the interviews provide empirical evidence on the determinants for the lack of comprehensive practice of early-stage engineering design activities. Recommendations on possible interventions to support the practice are presented to expedite innovations and inventions.
A STUDY ON THE POTENTIAL OF GAME BASED LEARNING FOR SUSTAINABILITY EDUCATION
Authors: Scurati Giulia Wally , Kwok Sze Yin , Ferrise Francesco , Bertoni Marco 
Published: June 2023

AbstractAcademic institutions are increasingly required to prepare future practitioners to face complex sustainability challenges. The need to foster the development of different skills, attitudes, and multidisciplinary collaboration raised the interest in alternative learning approaches. Game-based learning can be a tool to achieve a variety of desirable learning outcomes, including sustainability and collaborative attitudes change. We present a pilot study investigating the potential of a board game on sustainability risks and opportunities in product development and life cycle, performing a test with different student audiences. The paper discusses our results of the experiment, including a survey following the game, qualitative analysis of students' feedback, and observations during the game sessions. Additionally, we relate insights from students' reflections to CDIO learning objectives. We then illustrate lessons learned and the potential advantages of using the game compared to other teaching approaches and as a complementary tool. Finally, we propose future directions and recommendations for the use of the board game and game-based learning in sustainability education with different student audiences.
A SUSTAINABLE COMPUTATIONAL DESIGN CONCEPT USING WEB SERVICE METHODS
Authors: Gopsill James , Hicks Ben , Schiffmann Oliver , McClenaghan Adam 
Published: June 2023

AbstractSimulation is fundamental to many engineering design processes and powers the field of computational design. Simulation inherently consumes energy resulting in CO2 emissions that impact our environment. While one can source energy from renewable sources and use energy efficient hardware, efforts need to also be made in how we can use simulation in a sustainable manner.This paper presents a sustainable simulation framework that borrows concepts from web services. The framework makes it easy for engineering firms to adopt and embed sustainable simulation practices thereby removing the burden from the designer tin thinking about how to design sustainably. An illustrative example reveals a 25% reduction in computational effort can be achieved by adopting the framework.
AN EXPLORATION OF THE ROLE OF CREATIVITY IN CROWDFUNDING PRODUCT DESIGN PROJECTS
Authors: Han Ji , Jiang Pingfei , Hua Min , Childs Peter R. N 
Published: June 2023

AbstractCrowdfunding is becoming increasingly popular for funding projects, particularly in the domain of product design, by asking a large group of people. Previous studies have indicated that creativity plays a significant role in product design and is considered an important factor of success for new product design and development. However, these studies have not explicitly explored the role of creativity in crowdfunding product design projects. This paper investigates this issue by conducting a case study employing expert evaluations of selected successful and unsuccessful crowdfunding product design project samples. The results of the study show there is a positive relationship between the creativity of a product and the success of its crowdfunding campaign. Therefore, creativity can be considered a success factor of crowdfunding. The study also suggests creative products, especially useful ones, might have more potential to attract people's willingness to fund them. This paper has contributed to the research on design, creativity, product design and development, and funding business models. Most importantly, this paper has raised the significance of creativity in design and business.
ANALYSIS OF THE DIFFERENTIAL-GROWTH METHOD'S POTENTIAL FOR DESIGNING COMPLEX HEAT-TRANSFERRING WALLS FOR COMPACT HEAT EXCHANGER
Authors: Seidler Alexander , Holtzhausen Stefan , Sander Maximilian , Paetzold-Byhain Kristin 
Published: June 2023

AbstractWater scarcity and resource depletion can be expected during the climate crisis. Therefore, thermally loaded processes in particular, must be made more efficient in the future. Heat exchangers will play a key role in this optimization process. More efficient designs allow a greater heat flow to be removed from processes while mass flows remain constant. In this context, the heat-transferring wall of heat exchangers is a focus of current research on the design of heat exchangers. The aim is to increase the heat-transferring surface of the wall as much as possible and to keep the design space as compact as possible. Therefore, this study investigates the suitability of the differential-growth method for generating complex heat-transferring walls for heat exchangers using CFD-analysis. Firstly, a framework for generating the wall structures and a computational model for predicting the design influence of such structures for the thermal and fluid-dynamic behavior of the heat exchanger are presented. Thereby, the potential of such wall structures is analyzed in this study. Furthermore, the study identified weaknesses of such walls designed with the differential-growth method, which should be the focus of future investigations.
APPLICATION OF UNSUPERVISED LEARNING AND IMAGE PROCESSING INTO CLASSIFICATION OF DESIGNS TO BE FABRICATED WITH ADDITIVE OR TRADITIONAL MANUFACTURING
Authors: Ördek Baris , Borgianni Yuri 
Published: June 2023

AbstractManufacturing process (MP) selection systems require a large amount of labelled data, typically not provided as design outputs. This issue is made more severe with the continuous development of Additive Manufacturing systems, which can be increasingly used to substitute traditional manufacturing technologies. The objective of this paper is to investigate the application of image processing for classifying MPs in an unsupervised approach. To this scope, k-means and hierarchical clustering algorithms are applied to an unlabelled image dataset. The input dataset is constructed from freely accessible web databases and consists of twenty randomly selected CAD models and corresponding images of machine elements: 35% additively manufactured parts and 65% manufactured with traditional manufacturing technologies. The input images are pre-processed to have the same colour and size. The k-means and hierarchical clustering algorithms reported 65% and 60% accuracy, respectively. The algorithms show comparable performance, however, the k-means algorithm failed to predict the correct subdivisions. The research shows promising potential for MP classification and image processing applications.
ARE GENERATIVE ADVERSARIAL NETWORKS CAPABLE OF GENERATING NOVEL AND DIVERSE DESIGN CONCEPTS? AN EXPERIMENTAL ANALYSIS OF PERFORMANCE
Authors: Ghasemi Parisa , Yuan Chenxi , Marion Tucker , Moghaddam Mohsen 
Published: June 2023

AbstractGenerative Adversarial Networks (GANs) have shown stupendous power in generating realistic images to an extend that human eyes are not capable of recognizing them as synthesized. State-of-the-art GAN models are capable of generating realistic and high-quality images, which promise unprecedented opportunities for generating design concepts. Yet, the preliminary experiments reported in this paper shed light on a fundamental limitation of GANs for generative design: lack of novelty and diversity in generated samples. This article conducts a generative design study on a large-scale sneaker dataset based on StyleGAN, a state-of-the-art GAN architecture, to advance the understanding of the performance of these generative models in generating novel and diverse samples (i.e., sneaker images). The findings reveal that although StyleGAN can generate samples with quality and realism, the generated and style-mixed samples highly resemble the training dataset (i.e., existing sneakers). This article aims to provide future research directions and insights for the engineering design community to further realize the untapped potentials of GANs for generative design.
ARTIFICIAL INTELLIGENCE TECHNIQUES FOR IMPROVING CYLINDRICAL SHRINK-FIT SHAFT-HUB COUPLINGS
Authors: Saeed Muhammad Shahrukh , Falter Jan , Dausch Valesko , Wagner Markus , Kreimeyer Matthias , Eisenbart Boris 
Published: June 2023

AbstractDue to the continuous progress in information technology, complex problems of machine elements can be investigated using numerical methods. The focus of these investigations and optimizations often aims to reduce the stresses that occur or to increase the forces and torques that can be transmitted. Interference fit connections are an essential machine element for drive technology applications and are characterized by their economical fabrication. The transmission of external loads over a large contact surface between the shaft and hub makes it less vulnerable to impact loads. These advantages contrast with disadvantages such as the limited transmittable power, the risk of friction fatigue, and stress peaks at the hub edges, which can lead to undesirable and sudden failure, especially in the case of brittle hub materials. Analytical approaches already exist for optimizing these connections, which are expensive, time-consuming, and complex, so a high degree of expert knowledge is required to apply these methods in practice successfully. This paper presents a novel method using the example of optimizing the pressure distribution in the interface of a shrink-fit connection.
ASSESSING PERFORMANCE IN ENGINEERING DESIGN EDUCATION FROM A MULTIDISCIPLINARY PERSPECTIVE: AN ANALYSIS OF INSTRUCTORS’ COURSE REVIEW REPORTS
Authors: Ndiaye Yakhoub , Blessing Lucienne 
Published: June 2023

AbstractPerformance assessment plays a crucial role in engineering education. Yet most instructor assessment focuses on student outcomes to analyse achievements. Although there is extensive research analysing student productions, however, few studies have explored assessment from instructor perspectives, especially when reporting their assessment practice. This study examines instructors' assessment of student performance through the lens of course review reports (CRRs). The CRRs were collected from 5 core undergraduate courses submitted for annual review and were related to the mappings of the measurable outcomes to performance indicators, assessment methods, and level of engagement. Regardless of the variability in reporting the student design experience, instructors' assessment and potential gaps, as well as strong existing correlations between some indicators and associated assessment methods, the study showed that the CRR may be a powerful and complementary approach to investigate the complexity of multidisciplinary design and design assessment.
ASSESSING SYSTEMIC DRIVERS AND BARRIERS TO SUSTAINABLE DESIGN TRANSITIONS: RELATIONSHIP STRENGTHS AND RESEARCH GAPS
Authors: Basereh Taramsari Hossein , McFarren John , Watz Matilda , Hallstedt Sophie I. , Hoffenson Steven 
Published: June 2023

AbstractThe sustainable design transition has proven to be a challenging process, in part due to the diverse set of stakeholders, which includes the general public, policymakers, scientific researchers, and businesses. In prior work, the interconnected relationships among systematic drivers and barriers for sustainable design were identified and mapped using a causal loop diagram at a relatively abstract level. To further understand and characterize this complex system, this research aims to identify the relationship strength levels among the variables in the system, as indicated by previous research identified in the literature. In addition, the knowledge maturity levels of these identified relationships are specified to illustrate strengths and gaps in the literature. The findings are used to create a refined system representation that illustrates the power dynamics between systemic driving forces to sustainable design transitions. The results of this work reveal valuable insights about the linkages among the driving forces of sustainable design transitions that can be used as a foundation for further investigation, such as experiments and data analytics that can better quantify these relationships.
BEHAVIOURAL DESIGN FOR MEDICAL ERRORS DURING PATIENT DIAGNOSIS PROCESS
Authors: Dey Swagatam , Dabral Shweta , Khadilkar Pramod 
Published: June 2023

AbstractThe health and well-being sector has been of significant interest to the behavioural design domain since bringing in behavioural changes can help improve the overall well-being of a community. However, the domain's intervention in this sector has been limited to persuasive techniques for the adoption of healthier lifestyles. There is a need to consider the diagnostic actions and decisions undertaken by doctors as it represents an important part of health and well-being improvement of people. Medical errors committed by healthcare professionals are an important aspect of the healthcare domain. Since these errors result due to undesired or non-normative behaviours, behavioural design can be instrumental in their eradication. But the research on integrating behavioural design and medical error literature is still nascent.In this paper, we address this gap by identifying the categories of errors based on the performance levels within which they occur. Next, we contextualise these errors categories to medical literature focusing on the diagnostic stage. We further link it to the behavioural change model of COM-B to determine preliminary intervention functions that can be utilised by behavioural designers to deploy interventions.
BLACK MIRROR: A NOVEL APPLICATION OF SPECULATIVE DESIGN TO FACILITATE CONTEXT-AWARE DESIGN THINKING
Authors: Jung Kyung seo , Makam Neharika , Jung Summer Dahyang , Kim Seoyoung , Kim Sohyeong 
Published: June 2023

AbstractAs design thinking became popularized, practitioners in the field pointed out that design thinking rarely takes stakeholders and contexts into account as a result of focusing solely on end-users. We believe such a limitation can be complemented with speculative design, which critiques the future that an idea depicts and interrogates relationships with social, cultural, economical, and political systems. This paper, through pilot interviews with 10 participants and a thematic analysis on interviews with 12 participants, explores possible interaction between design thinking and speculative and critical depiction of the future. Speculative and critical inquiries allowed the participants to consider various social contexts and stakeholders, and further helped them shape and brainstorm the ideas’ potential values and challenges faced during adoption. The overall critical speculation influenced various steps of the design thinking process. The paper contributes to the literature by reporting a novel application of speculative design to the conventional design thinking process. In the future, we hope to further explore other elements of speculative design and their impact on design outcomes.
A COMPETENCE PORTFOLIO FOR FUTURE LEADERS IN ADVANCED SYSTEMS ENGINEERING
Authors: Impertro Sebastian , Duehr Katharina , Rust Hendrik , Albers Albert , Bursac Nikola 
Published: June 2023

AbstractDue to the increasing importance of advanced systems, whose development calls for interdisciplinary and integrative approaches, and fundamental changes in the work environment, leaders are required to have a wide range of competences. Therefore, the aim of this work is to identify competences of future leaders, that are specifically relevant in Advanced Systems Engineering (ASE). Thus, professional, social, methodological, and self competences developed by a literature review are validated through expert interviews and prioritized by a survey. The insights are then presented in a competence portfolio including 30 areas of competences. The portfolio consists of areas of competence that are either relevant in the context of ASE (e.g. intercultural and interdisciplinary competence), New Work (e.g. competence to empower employees) or are relevant to leaders in general. It was possible to add further aspects that are necessary in ASE to the aspects from the literature review. The experts interviewed emphasized various aspects of interdisciplinary work and made clear that in future, leaders should place their employees at the heart of their activities and empower them according to their strengths and weaknesses.
CAN ABDUCTION RESEARCH ENHANCE UNDERSTANDING OF DESIGN PROCESSES ACCOUNTED FOR BY C-K THEORY?
Authors: Kroll Ehud , Koskela Lauri 
Published: June 2023

AbstractDesign process descriptions in the literature in general and those using C-K theory in particular lack some useful cognitive information that may affect the credibility of the process. Notions from abduction research are presented and proposed for enhancing such descriptions. Specifically, it is important to distinguish between design activities that are intuitive and those that result from deliberation; a topic that has long been discussed by philosophers of science and design scholars. The focus of the paper is on the ubiquitous design moves of proposing an idea and selecting among ideas, and on their execution by expert and novice designers.
CAN PARETO FRONTS MEET THE SPLITTING CONDITION? COMPARING TWO GENERATIVE DESIGN ALGORITHMS BASED ON THE VARIETY OF DESIGN PARAMETERS COMBINATIONS THEY GENERATE
Authors: Thomas Maxime , Nicoletti Lorenzo , Le Masson Pascal , Weil Benoit 
Published: June 2023

AbstractGenerative Design (GD) is a design approach that uses algorithms to generate designs. This paper investigates the role of optimisation algorithms in GD process. We study how Pareto Fronts – a classical optimization algorithm output – help designers to browse the variety associated with a design problem. Thanks to the “splitting condition” from design theory, we show that valuable Pareto Fronts for designers are those that allow the exploration of a variety of design parameters without modifying substantially the performance of the designed solution. We call “Splitting Pareto Front” the Pareto Fronts that display this property and investigate how to generate them. We compare, on an electrical battery design problem, two optimization algorithms – NSGA-II and MAP-Elites – based on the design parameters variety they generate. Our results show that MAP-Elites generates Pareto Fronts that are more splitting than those generated by NSGA-II. We then discuss this result in term of the design process: which algorithm is best suited for which design task? We conclude with the importance for future research on Generative Design Algorithms (GDA) to study jointly the functioning of GDA and their expected contribution to the design process.
CIRCULAR ECOSYSTEM STRUCTURE AND ORCHESTRATION: OUTLINING ACTIONS TO INNOVATE, INTEGRATE, AND INVEST
Authors: Hofmann Trevisan Adriana , Gonçalves Castro Camila , Augusto de Vasconcelos Gomes Leonardo , Mascarenhas Janaina 
Published: June 2023

AbstractCircular ecosystem is a growing research field that is gaining attention due to representing a more robust alignment structure than a single firm. However, prior research lacks empirical evidence on how circular ecosystems are structured and how orchestrators coordinate a set of actors towards a coherent circular value proposition. By studying nine organizations related to the carton packaging recycling ecosystem, we reveal the complexity of recovering and co-creating value in a systemic network with actors competing and collaborating simultaneously. Based on that, we propose a framework for orchestrating circular ecosystems. Our results indicate that orchestrators should integrate strategic actors, invest in infrastructure, and innovate in product design. We also discuss ecosystem resilience during and after the covid 19 pandemic, showing how the orchestrator was fundamental to the sustainability of the ecosystem. Overall, this paper contributes to increasing the understanding of inter-organizational relationships towards the circularity of resources.
CLUSTERING OF SEQUENTIAL CAD MODELLING DATA
Authors: Šklebar Jelena , Martinec Tomislav , Perišić Marija Majda , Štorga Mario 
Published: June 2023

AbstractAutomating modelling activities in computer-aided design (CAD) systems is no exception within design automation, one of the current research endeavours aiming to use and transform design-related data in design decision-making processes and the generation and evaluation facilitation of new design solutions. The paper explores the differences between CAD models based on their feature-based CAD modelling sequences that lead to the final models' design. The dataset collected and structured for the study contains more than 1400 CAD models clustered on two levels by using an unsupervised K-means clustering algorithm. The algorithm is performed on the number (total and unique) and the first-order Markov model transition matrices of the CAD modelling operations and their sequential order, respectively. Therefore, three and ten groups (clusters) of CAD models are obtained regarding the level of clustering. The results show that most of the obtained groups are specified by the dominant transition between particular modelling operations. In addition, the study also provides insight into the potential of using feature-based CAD modelling operations' sequences as a first step toward automating the user interaction with the CAD system.
TheLpconvergence of Fourier series on triangular domains
Authors: Acosta Babb Ryan L. 
Published: June 2023

AbstractWe proveLpnorm convergence for (appropriate truncations of) the Fourier series arising from the Dirichlet Laplacian eigenfunctions on three types of triangular domains in$\mathbb{R}^2$: (i) the 45-90-45 triangle, (ii) the equilateral triangle and (iii) the hemiequilateral triangle (i.e. half an equilateral triangle cut along its height). The limitations of our argument to these three types are discussed in light of Lamé’s Theorem and the image method.