bluuebunny/crossref_metadata_2025_split huggingface dataset:
FOCUS AND MODALITY: DEFINING A ROADMAP TO FUTURE AI-HUMAN TEAMING IN DESIGN
Authors: McComb Christopher , Boatwright Peter , Cagan Jonathan 
Published: June 2023

AbstractThe evolution of Artificial Intelligence (AI) and Machine Learning (ML) enables new ways to envision how computer tools will aid, work with, and even guide human teams. This paper explores this new paradigm of design by considering emerging variations of AI-Human collaboration: AI used as a design tool versus AI employed as a guide to human problem solvers, and AI agents which only react to their human counterparts versus AI agents which proactively identify and address needs. The different combinations can be mapped onto a 2×2 AI-Human Teaming Matrix which isolates and highlights these different AI capabilities in teaming. The paper introduces the matrix and its quadrants, illustrating these different AI agents and their application and impact, and then provides a road map to researching and developing effective AI team collaborators.
FRAMEWORK FOR COMPARISON OF PRODUCT CARBON FOOTPRINTS OF DIFFERENT MANUFACTURING SCENARIOS
Authors: Winter Sven , Quernheim Niklas , Arnemann Lars , Anderl Reiner , Schleich Benjamin 
Published: June 2023

AbstractThe Product Carbon Footprint (PCF) has been established over the last few years as a new control variable in product design to quantify the sustainable impact of a product. However, the calculation of the PCF is subject to numerous uncertainties and assumptions, which are no longer represented in the stand-alone value. The uncertainties and assumptions arise at different stages of the calculation of the PCF and consequently create a multidimensional problem, which means that the PCF does not provide a trustworthy basis for comparing different production scenarios. To face this multidimensional issue, in this paper, a methodology for categorization of the different issues and, therefore, of the final PCF is presented. Through this methodology, which is divided into five levels mainly based on the origin, the quality, and the uncertainty of the data, an assessment can be made as to whether the values of the PCFs are comparable in different scenarios. The methodology can therefore help to improve decisions in product development with regard to environmental sustainability.
FUNCTIONAL ANALYSIS IN PHYSICAL AND VIRTUAL REALITY (VR) ENVIRONMENTS – A COMPARATIVE STUDY
Authors: Steinhauser Niklas , Zimmerer Christoph , Grauberger Patric , Nelius Thomas , Matthiesen Sven 
Published: June 2023

AbstractProduct development is time-consuming and cost-intensive. Part of the costs can be attributed to physical tests. Therefore, new methods are being researched to save resources. One upcoming area that becomes important for the industry is Virtual Reality (VR) technology.In the state of research studies have already compared VR with methods such as CAD visualizations. However, there is a need for research regarding the comparison to physical models.Therefore, a comparative study between a physical system and a VR system is evaluated in terms of functional analysis. The study task was to analyze the mechanism of a lawn sprinkler. For evaluation, a function explanation in a final interview was used.Although more different representations were possible with VR, there was no general improvement. This could be because movements were more difficult to visualize and recognize. The VR application is very suitable if you mainly have to look at systems that are difficult to view in reality. For example, some physical systems may be challenging to see in operation or may not allow a physical cut, so VR can be a solution. The advantages of physical systems can be in using other impressions, such as a feeling of certain forces.
GEOMETRIC MODELLING OF HETEROGENEOUS LATTICE STRUCTURES THROUGH FUNCTION REPRESENTATION WITH LATTICEQUERY
Authors: Letov Nikita , Zhao Yaoyao Fiona 
Published: June 2023

AbstractLattice structures are lightweight and possess other unique mechanical and physical properties. Additive manufacturing techniques are often used to produce these structures. Additive manufacturing provides manufacturing freedom that significantly surpasses the one provided by conventional subtractive manufacturing. However, a gap exists between the manufacturing freedom and the geometric modelling freedom in additive manufacturing: it can be extremely challenging to model the designed part because of its high geometric complexity, such as heterogeneous lattice structures. While several tools on the market allow geometric modelling of such structures available on the market, the customization of lattice parameters can still be significantly improved. Moreover, no open-source tools exist to address this issue or to model lattice structures in general. This work presents a novel open-source library for the geometric modelling of lattice structures with customized parameters. The parameter customization is enabled with the function representation approach.
IDENTIFICATION OF PERCEIVED RELATIONSHIPS BETWEEN ENVIRONMENTAL PERFORMANCE INDICATORS IN ECODESIGN PROJECTS: THE CASE OF RAIL INFRASTRUCTURE PROJECTS
Authors: Mansour Salamé Joseph , Leroy Yann , Saidani Michael , Nicolaï Isabelle 
Published: June 2023

AbstractSharing information between stakeholders is a critical success factor for ecodesign projects. This sharing is based on indicators that can be interrelated, i.e., impacting each other.This article focuses on the perception of environmental performance indicators’ relationships during the design phase of projects. It uses a DEMATEL approach combined with a graph-database visualization linking environmental performance indicators. While the DEMATEL approach highlights the critical environmental indicators, the graph-based visualization maps the primary interrelations of these factors and defines the best scale to manage them. The novelty here lies in the complementary use of these two methods to facilitate environmental project monitoring.This research is applied to rail infrastructure projects. The main results insist on land optimization, landscape insertion, carbon footprint, economic benefits, and biodiversity measures as critical factors when designing these projects. The graph-based visualization maps the main oriented links between indicators, allowing managers to identify the gaps between the perceived knowledge and the ground truth, facilitating their project monitoring.
IMPROVING KNOWLEDGE TRANSFERS AT PROTEKTORWERK FLORENZ MAISCH GMBH & CO. KG THROUGH THE APPLICATION OF THE INKTI – INTERDEPARTMENTAL KNOWLEDGE TRANSFER IMPROVEMENT METHOD
Authors: Klippert Monika , Schäfer Luisa , Böllhoff Jörg , Willerscheid Heiner , Rapp Simon , Albers Albert 
Published: June 2023

AbstractIn the development and production of new products, interdepartmental knowledge transfer is essential. Successful knowledge transfer faces several challenges, such as a lack of willingness to transfer knowledge or an inappropriate selection of tools. These can lead to the reduction of efficiency and effectiveness of knowledge transfers. Therefore, the InKTI – Interdepartmental Knowledge Transfer Improvement Method is developed to support the improvement (in terms of speed and quality) of knowledge transfers, particularly in product and production engineering.This paper presents the first validation of the InKTI Method through a field study at the company Protektorwerk Florenz Maisch GmbH & Co. KG, which is a leading European company in the construction industry, to support the successful knowledge transfer into practice. Therefore, the research need is pointed out, and a concept for validation is developed and implemented. Afterward, the InKTI Method is evaluated based on its success, support as well as applicability.
IN SEARCH FOR SHARED CHARACTERISTICS OF PHYSICAL AND VIRTUAL PROTOTYPES
Authors: Zorn Stefan , Hemmer Michael , Gericke Kilian 
Published: June 2023

AbstractPrototyping is essential for knowledge acquisition and, thus, for informed decision-making in product development. The gold standard is still the use of physical prototypes. However, with the increase in computing capacity, it is becoming easier also to use virtual prototypes.The selection of prototyping approaches often starts with the distinction between physical and virtual prototypes and therefore excluding a broad range of possibilities early on.This paper explains why a selection of prototypes based on the distinction between physical and virtual is not necessarily the best solution and suggests a selection approach based on characteristics which offer the possibility to avoid this limitation. Therefore the characteristics of physical prototypes commonly used in literature are analysed and reduced to a generally valid selection. Examples of virtual prototypes are selected and analysed regarding their characteristics. All elaborated characteristics are then tested for their applicability to the examples of virtual prototypes.
INDIVIDUALIZATION IN ENGINEERING DESIGN EDUCATION: IMPLEMENTATION OF AN ADAPTIVE E-LEARNING ENVIRONMENT (ADE-LE)
Authors: Kossack Frederike , Bender Beate 
Published: June 2023

AbstractWell-educated engineers are key for successful engineering design in product development. Due to varying school education and technical backgrounds, the students have different prerequisites for the acquisition of competences. Subject of this paper is to show the methodical implementation of the prototype AdE-Le suited to the curriculum at Ruhr-University-Bochum and the open source learning platform Moodle. Aim is to evaluate the didactic potential to support engineering students with heterogeneous competence levels. The general needs and existing approaches for E-Learning environments as a means to individualize learning content in engineering design are discussed. Major aim is to reduce the linkage between the students' technical background and their exam success. AdE-Le as an exemplary application is developed based on the didactical concept of Constructive Alignment. Due to a harmonization of learning methods and contents in Engineering Design across the members of the Scientific Society for Product Development the results of this investigation can be transferred to other Universities.
INTEGRATING SENSORS IN PRODUCTS: A NEW TOOL FOR DESIGN EDUCATION
Authors: Briard Tristan , Jean Camille , Aoussat Améziane , Véron Philippe 
Published: June 2023

AbstractThis paper present a pedagogical tool to address a lack of creative approach in traditional education on embedded sensors. The tool is built in a systematic way from the data sheet information of a large number of different sensors. The tool presents the main monitoring capabilities of embedded sensors on cards to assist students in the creative stages of product design. An experiment was conducted to test its educational potential with 30 Masters students in product design. The statistical analysis on the experiment data indicate that the tool enables the improvement of knowledge on embedded sensors, with a more significant gain in advanced thinking skills. Finally, the tool is easy to implement in product design education and accessible to a wide range of students.
INVESTIGATING THE EFFECT OF SKETCH QUALITY ON THE SHARED UNDERSTANDING OF DESIGN DYADS
Authors: Letting Cynthia , Krishnakumar Sandeep , Johnson Erin , Soria Zurita Nicolas , Menold Jessica 
Published: June 2023

AbstractWhile a significant amount of research has documented the importance of design artefacts in design communication, relatively little work has investigated the effect of design artefact quality on the development of a shared understanding between designers. In the current work we focus specifically on sketch quality and the effect of sketch quality on the shared understanding of design dyads. A controlled study with 22 design dyads (44 designers) was conducted to understand the relationship between sketch quality and shared understanding. Results suggest that design artefact quality, measured by sketch understandability, does not predict the shared understanding of a design concept. Our findings hold implications for the fundamental ways in which we evaluate sketch quality and the importance of artefact fidelity for communicative acts.
A KNOWLEDGE-BASED IDEATION APPROACH FOR BIO-INSPIRED DESIGN
Authors: Chen Liuqing , Cai Zebin , Jiang Zhaojun , Long Qi , Sun Lingyun , Childs Peter , Zuo Haoyu 
Published: June 2023

AbstractBio-inspired design (BID) involves generating innovative ideas for engineering design by drawing inspiration from natural biological phenomena and systems, using a form of design-by-analogy. Despite its many successes, BID approaches encounter research challenges including unstructured data and existing models that hinder comprehension and processing, limited focus on finding biological knowledge compared to defined problems, and insufficient guidance of the ideation process with algorithms. This paper proposes a knowledge-based approach to address the challenges. The approach involves transforming unstructured data into structured knowledge, including information about natural sources, their benefits, and applications. The structured knowledge is then used to construct a semantic network, enabling designers to retrieve information for BID in two ways. Furthermore, a three-step ideation method is developed to encourage divergent thinking and explore additional potential solutions by drawing inspiration and utilizing knowledge. The knowledge-based BID approach is implemented as a tool and design cases are conducted to illustrate the process of applying this tool for BID.
LIFE CYCLE ASSESSMENT AND CIRCULAR ECONOMY INDICATORS TO DESIGN SUSTAINABLE ELECTRIC OUTBOARDS: RESULTS FROM WORKSHOPS WITH INDUSTRIAL EXPERTS
Authors: Saidani Michael , Bayless John , Huey Dylan , Kim Harrison , Anderson Kevin 
Published: June 2023

AbstractTo help industries in their sustainable and circular transition from internal combustion engine production to electric motor production, the deployment of (i) a sound environmental impact assessment methodology, such as life cycle analysis, coupled with (ii) Design for Re-X tools, such as circularity indicators, is instrumental. To demonstrate the industrial relevance and complementary of both approaches, two consecutive workshops are conducted with a major original equipment manufacturer of recreational boats and their associated engines. On this basis, two circularity indicator-based tools were used to quantify and enhance (i) the circularity potential of the electric outboard as a whole, and (ii) the circularity performance of the two most impactful components, based on the LCA results: the electric motor unit and the lithium-ion battery pack. In all, the practice sessions supported the generation of strategic and operational ideas to improve the circularity of the electric outboard. As the industrial participants found both frameworks easy to use and efficient, all the details and resources used to conduct, replicate, or adapt such workshops in other industrial contexts are shared.
MACHINE LEARNING FOR PARAMETRIC COST ESTIMATION OF AXISYMMETRIC COMPONENTS
Authors: Manuguerra Luca , Mandolini Marco , Germani Michele , Sartini Mikhailo 
Published: June 2023

AbstractMachine learning (ML) is a well-established research topic in Industry 4.0 is boosting its adoption. ML is also used for manufacturing cost estimation during design. Such approaches are commonly used to estimate the cost of mass-produced parts. Many consolidated historical data are available for training the regression models. Unfortunately, very often, such a database of data is not available.The paper defines an ML approach for parametric cost estimation of axisymmetric components. The data for training the ML model derives from automatic software for analytically estimating the manufacturing cost. With a proper set of simulations, the tool can generate a large amount of data for training. The paper presents the steps for developing a parametric cost model using ML. The approach is based on CRoss Industry Standard Process for Data Mining method. The proposed method was used to develop one cost model (to estimate the total cost that considered raw material and manufacturing cost). The obtained Relative Error is 23.52% ± 1.37%, coherent with E2516 − 11, Standard Classification for Cost Estimate Classification System.
A META-ANALYSIS TO ASSESS SMARTPHONE DISPOSAL DESTINATIONS: THE CHALLENGES OF INCREASING VALUE RECOVERY
Authors: Sonego Monique , Echeveste Márcia Elisa Soares , Conte Manoela 
Published: June 2023

AbstractProviding the correct destination at the end of the product's use phase is essential for value recovery and to reduce the environmental impact at this lifecycle stage. To understand the e-waste recycling behavior among users, this article aims to identify the most common destinations given to smartphones when they are no longer used. A systematic literature review was carried out, and 13 studies were selected for a meta-analysis. The variable is the selection of the most common destinations for e-waste: reuse and recycling (recovered value), storage and informal collection (missed value), and household waste (destroyed value). The results present a summarized measure with the combined proportion of the studies for each category. Studies were weighted by the precision of confidence interval estimates presented in Forest Plots. The main results point out common problems and demonstrate how the strategies and policies adopted in each country can influence the chosen methods of disposal. These specificities require unique strategies to deal with local problems. As a secondary contribution, this study proposes guidelines to reduce e-waste generation and to create awareness and infrastructure to increase value recovery.
MAPPING THE JOURNEYS OF ATRIAL FIBRILLATION PATIENTS AND CITIZENS USING WEARABLE DEVICES FOR REMOTE CARDIAC MONITORING
Authors: Suresh Kumar Sagar , Andreakou Eva , Tzachsan Marianna , Maier Anja M. 
Published: June 2023

AbstractAtrial Fibrillation (AF) is one of the most prevalent cardiac diseases in the world. How might we design patient journeys improving quality of life using wearable cardiac devices for continuous out of hospital monitoring and support? Most of the studies to date have emphasised the technical aspects of implementing such devices with less focus on human factors. As such, remote cardiac monitoring appears to be burdened by poor patient adherence. This research study proposed a journey map based on Roger's technology adoption model to understand the challenges faced by AF patients and non/asymptomatic patients in using wearable devices to monitor their health. Data from semi-structured interviews conducted in Denmark with 12 participants aged 24 to 65 years was used. Interview results show that citizens prefer tracking heart activity only in conjunction with other measures such as steps or sleep and do not feel motivated to track their heart activity on a daily basis. Patients view wearables as a valuable tool to check if their health is all right, although apprehension that devices can cause unnecessary worry can lead to their rejection. Finally, recommendations for the design of patient journeys when using wearables were made.
MBSE INCORPORATING TIME-DEPENDENT BEHAVIOR FOR THE DESIGN OF ROBOT-LIKE SYSTEMS
Authors: Ziegler Klara , Volpert Marcus , Amm Maximilian , Vogel-Heuser Birgit , Stahl Karsten , Zimmermann Markus 
Published: June 2023

AbstractComplex systems typically consist of many components and are subject to many requirements. Approaches like the V-Model support complex systems design by providing guidelines on how to break down large systems into smaller pieces. Models built with SysML provide documentation on an abstract level. However, neither incoporates detailed information on components that may be relevant for design decisions. In robot-like systems, e.g., the choice of transmissions will depend on the system dynamics of the robot. This is modeled in the time domain, where detailed time-dependent component interaction is considered. The design perspective, however, is best represented in the property domain. Here, requirements on static component properties are formulated.This paper presents a generic approach that connects the property and time domains to enable early-stage design decisions. The approach is applied to a 1-link robot system with a simple demonstrator transmission model, including properties that are typically not considered in the early design phase, like a nonlinear stiffness characteristic with backlash.
A METHOD FOR REDUCING FUZZINESS AND ACCELERATING NEW PRODUCT MODELLING IN CAD: THE CASE OF DESIGN FOR MANUFACTURING
Authors: Bluntzer Jean-Bernard , Barret Régis , Ostrosi Egon 
Published: June 2023

AbstractImprovements in product development can increase the competitiveness of firms. However, new product development in CAD systems involves difficulties and uncertainties that increase along with the pressure to develop the products. A distinct characteristic of CAD modeling for new product development is its uncertainty. This is because the information is usually approximate and incomplete during CAD modeling. Thus, the main objective of this paper is to propose a robust and flexible CAD approach to reduce uncertainty and accelerate new product modeling in the context of design for manufacturing. This methodology permits the convergence towards different product forms depending on the selected manufacturing process. Application of this approach has shown that when uncertainty is high, approving a complete CAD modeling results in a delay in product development. In contrast, CAD modeling using fuzzy models results in a gain of valuable development time because the model is completed when knowledge about manufacturing technologies, company fit and capabilities, and markets is available.
MODELLING TECHNICAL SYSTEMS IN THE EARLY PHASE: PROPOSING A FORMAL DEFINITION FOR THE SYSTEM CONCEPT
Authors: Albers Albert , Hünemeyer Sebastian , Kubin Alexander , Pfaff Felix , Schlegel Michael , Rapp Simon 
Published: June 2023

AbstractThe task of developing “concepts” is common in all fields of engineering, especially in the early phases of product development. However, an in-depth literature analysis showed that authors - often depending on different contexts in design research, education, and industry - define the term “concept” in differing ways. The aspect of reference-based development is rarely addressed in existing definitions. This indicates that there is a need for an updated and concise concept definition. In this paper, the authors propose a new definition of the term “system concept” within the context of SGE - System Generation Engineering that incorporates the findings from the literature analysis. The definition was reflected on in two case-studies. The first one contained the system concept for automotive display and operating systems, the second one the system concept for a kinesthetic-haptic VR interface. The proposed definition contains the relevant characteristics identified from the literature review and supports both current activity-based process models and reference-based development, as practical application has shown.
MODELLING THE DESIGN OF MODELS: AN EXAMPLE USING CRISP-DM
Authors: Kannengiesser Udo , Gero John S. 
Published: June 2023

AbstractDesign is widely understood as a domain-independent notion, comprising any activity concerned with creating artefacts. This paper shows that models can be viewed as artefacts, and that the design of models resembles the design of artefacts in other domains. The function-behaviour-structure (FBS) ontology of design is applied to models, mapping generic characteristics of models derived from literature on modelling onto basic, design-ontological categories. An example of model design, namely the CRISP-DM model for designing data mining models, is analysed and compared with models of designing in other domains (systems engineering, mechanical engineering, software engineering, and service design). The results show that there are fundamental commonalities but also differences, revealing the need for further research in developing a theory of model design.