bluuebunny/crossref_metadata_2025_split huggingface dataset:
Products that Age with Us: Carpet in the Turkish Household
Authors: Gurel R. , Merzali Celikoglu O. 
Published: May 2022

AbstractThis paper explores carpet, an intergenerational product, that lives and ages with its users. An ethnographic study was conducted through participant observation and in-depth interviews to understand why carpet matters in Turkish homes. Exploring material culture of carpet unfolds its meaning as a signifier of culture in second-order semiological systems. Study finds carpet has socializing traits, is the maker of home, needs maintenance and can be an artwork or object. Examining a product's importance and emotional durability can enable new understandings of product meaning and sustainability.
Designing Innovation – The Role of Engineering Design to Realise Sustainability Challenges
Authors: Isaksson O. , Eckert C. M. 
Published: May 2022

AbstractSustainability challenges drive innovation, yet few studies attend to the role of design to realise innovation. This paper report from a full day workshop and panel discussion with 100 delegates at the ICED 2021 conference. Industrialists, academics and societal representatives discussed how to deal with five conflicting themes. It is argued that innovation actors will need to take a joint action to the problem, industrial value chains need to co-innovate and that long term challenging targets are powerful metrics to drive transformation.
From Supply Chain Stakeholder to Service Customer: An Engineering Framework for Vehicle-Based Services
Authors: Pizzinini C. , Bercher J. , Lienkamp M. 
Published: May 2022

AbstractGeographic distance between supply and demand reduces spatial accessibility. Vehicles have been contributing to improved spatial accessibility by offering transport services for people and goods. From traditional trucks to mobile health clinics, vehicles can offer a wide range of functionalities on wheels. To develop context-specific vehicles-based services, we propose a novel engineering framework based on a supply chain perspective. Requirements are derived from supply chain stakeholders and translated into vehicle-based services and vehicle components.
Slow Fashion Accompanies Digital Towards a Sustainable Future: From Quantity to Quality. Reflections on the New Paradigm of Sustainable Fashion
Authors: Pucci E. , Tufarelli M. , Giliberti L. 
Published: May 2022

AbstractThe negative social and environmental impacts of the fashion industry refer to a global industry, with its ubiquitous supply chains driven by big brands that determine what to produce, where to produce, and at what prices to sell. Do we want to continue to keep fashion as a beautiful artifact? If so, we need to consider how resources are deployed. Accelerating climate change is looming, portending an uncertain and damaging future. Can fashion be sustainable? Why is sustainability in fashion seen as an oxymoron? Can a return to slow fashion accompany digital towards a sustainable future?
Modeling Social Benefits in System Design Optimization of Integrated Natural Resources Conservation and Development (INRCD) Projects: Identification and Quantification of Design Attributes from Extant Literature
Authors: Rajski P. , Sicko A. J. , Papalambros P. Y. 
Published: May 2022

AbstractIntegrated Natural Resource Conservation and Development (INRCD) Projects promote community economic development consistent with natural resource conservation. Such projects are studied analytically as system design optimization problems comprising engineering, economic, and social considerations. Modeling social benefits as objectives or constraints requires proper quantification. From the extant literature, we decompose the social benefits concept into quantifiable INRCD attributes and point to further quantification efforts needed to capture the system design's impact on local communities.
Designing PSS Fleets – Consideration of the Product Architecture
Authors: Rennpferdt C. , Schneider J. A. , Lachmayer R. , Krause D. 
Published: May 2022

AbstractBy transforming from a manufacturer into a PSS provider, the business model of a company changes. In particular with service-oriented business models, the importance of tangible products alters. Instead of selling products, PSS providers need product fleets that enable the provision of services. If the manufacturer of the product and the provider of the PSS fleet are identical, the products can be designed specifically for the PSS. This paper introduces a framework that supports the design of modular PSS fleets so that the product architecture is optimised for the requirements of the fleet.
Parameters Proposed for Sustainability Assessment of Biocomposite Based Rigid Packaging
Authors: Srivastava V. , Singh S. , Das D. 
Published: May 2022

AbstractThe sustainability of rigid packaging can be increased by using biocomposites in packaging. Existing frameworks have some limitations such as are made to assess a few aspects, conventional packaging parameters are considered, etc. Biocomposite has a slightly different scenario at various life cycle stages, like the end-of-life cycle process. To assess the sustainability of biocomposite rigid packaging, we must consider parameters related to the biocomposite-based rigid packaging materials life cycle. These are categorised into different aspects of sustainability and life cycle phases.
Evolving the "How Might We?" Tool to Include Planetary Boundaries
Authors: Vignoli M. , Roversi S. , Jatwani C. , Tiriduzzi M. , Finocckì C. 
Published: May 2022

AbstractThis work aims to study the evolution of the “Human and planet balance tool” as part of Prosperity Thinking. Prosperity Thinking is a sustainable design methodology that takes into account human and planet means. Through a literature review on sustainable design, we noticed that there is a lack of methods that take into account the problem definition stage. We developed a “Human and planet balance tool” which helps framing sustainable design challenges. Results show that designers, innovators, and changemakers have an interest in a methodology to analyze and address systemic challenges.
Proposal of a Conceptual Framework for Collaborative Design of Immersive Professional Training: Application to the Textile Industry
Authors: Bisson I. , Mahdjoub M. , Zare M. , Bluntzer J.-B. , Sagot J.-C. , Goutaudier F. , Ravier F. 
Published: May 2022

AbstractImmersive technologies have an increasing use in professional training. However, the usability of applications has limits due to a lack of consideration of end users in the design of these new supports. This paper reviews the literature and discovers that few approaches offer to include different collaborators' work, or the end user, in the design process. This study proposes a conceptual framework design for immersive professional training (IPT) and its application in the textile industry.
To What Extent Is Circular Product Design Supporting Carbon Reduction Strategies? An Analysis of Nordic Manufacturing Firms within the Science-Based Targets Initiative
Authors: Zomer T. , McAloone T. C. , Pigosso D. C. A. 
Published: May 2022

AbstractCorporate climate action is critical in supporting the transition towards a low-carbon economy. This paper explores what design practices have been adopted by manufacturing companies that have committed to science-based emission reduction targets and are making progress towards those targets. We contribute to the existing literature by providing empirical evidence of circular economy (CE) actions related to product design supporting firms in reaching their emission reduction targets, contributing to the calls for more research showing evidence between CE adoption and emissions reduction.
One Size Doesn't Fit All: On the Adaptable Universal Design of Assistive Technologies
Authors: Aflatoony L. , Kolarić S. 
Published: May 2022

AbstractOccupational therapists modify mass-produced and universally-designed assistive technologies (ATs) to fulfill the specific needs of people with disabilities. We interviewed ten occupational therapists with experience in modifying ATs in order to understand adaptation processes. Our findings reveal the reasoning behind adaptation, common ATs that require adaptation, as well as the collaborative nature of adaptation. We propose a new framework called Adaptable Universal Design (AUD) that blends Universal Design with the need to adapt ATs in order to fulfill unique and specific user needs.
Computational Design of an Additively Manufactured Origami-Based Hand Orthosis
Authors: Barros M. O. , Walker A. , Stanković T. 
Published: May 2022

AbstractThis work investigates the application of origami as the underlying principle to realize a novel 3D printed hand orthosis design. Due to the special property of some origami to become rigid when forming a closed surface, the orthosis can be printed flat to alleviate the most of the post-processing, and at the same time provide rigid support for the immobilized limb in the folded state. The contributions are the origami-based hand orthosis design and corresponding computational design method, as well as lessons learned regarding the application of origami for the hand orthosis design.
Lost in Transit: Implications and Insights for Making Medical Task Trainer Prototypes with an Open Source Hardware Paradigm
Authors: Ege D. N. , Auflem M. , Steinert M. 
Published: May 2022

AbstractThis paper presents an open-source novel intravenous cannulation task trainer developed during the Covid- 19 pandemic for unsupervised clinical skill practice. Multiple user errors were uncovered when observing 13 registered nurses using the task trainer during a two-hour unsupervised skill training session. These insights raise the question of how OSH needs to share more than just device descriptions and assembly instructions- as designs are being shared only in its current state of an ongoing project, sharing insights, user errors and test results should be encouraged and prioritized.
The Role of Systems Approaches in Health and Care
Authors: Komashie A. , Clarkson P. J. 
Published: May 2022

AbstractThe concept of Health Systems is ubiquitous in the healthcare literature. However, the question ‘what is a Health System’ is not easy to answer. The emerging field of Health Systems Design is by nature multi-disciplinary, involving several disciplines with different ontological commitments and diverse perspectives and interpretations of health and system. To avoid confusions in communication and facilitate engagement between the design and health communities, it is important to begin an open exploration of the fundamental concepts of Health Systems. This paper is a first step in that endeavour
Cardinal Maturity Determination of Technology Development: Medical Device Development Case Study
Authors: Mishra S. R. , Behdinan K. 
Published: May 2022

AbstractA novel application of Best Worst Method (BWM) enables one to incorporate the complexity of specific sub-criteria of technological development to assess its maturity with the pre-established Technology Readiness Level (TRL) framework. It utilizes the concept of Multi-Criteria Decision Making (MCDM) methods to determine the cardinality of endpoint quantitative processes. The model is used to determine the maturity of Class II Ventilators and to detect the consistency aspects for their selection.
Deformation Taxonomy of Additively Manufactured Lattice Structures
Authors: Air A. , Wodehouse A. 
Published: May 2022

AbstractAdditive manufacturing offers opportunities for designed mechanical deformation within parts by integrating lattice structures into their designs. This work re-analyses and translates data on lattice structure deformation behaviours into a novel taxonomy, enabling their actions to be understood and controlled. Parallels between these actions and the four basic types of mechanical motion are identified. Creating a taxonomy method using these motions enables the future development of a DfAM framework that assimilates controlled anisotropy via lattices and aids the design of compliant mechanisms.
A Framework to Collect and Reuse Engineering Knowledge in the Context of Design for Additive Manufacturing
Authors: Formentini G. , Favi C. , Mandolini M. , Germani M. 
Published: May 2022

AbstractDesign for AM (DfAM) requires the definition of Design Actions (DAs) to optimize AM manufacturing processes. However, AM understanding is still very blurred. Often designers are challenged by selecting the right design parameters. A method to list and collect DfAM DAs is currently missing. The paper aims at providing a framework to collect DfAM DAs according to a developed ontology to create databases (DBs). DBs were tested with two real case studies and geometric features to improve identified. Future developments aim at widening the database to provide all-around support for AM processes.
Compounding Composites from Raw Materials with Extrusion Directly on 3D Printer
Authors: Rundbäck Martinsson O. , Nordin A. , Tavčar J. 
Published: May 2022

AbstractThe materials most commonly used in 3D-printers are in a filament form. This is a barrier for users who want to have new types of filaments with different material compositions. A 3D-printer which can extrude and print directly from the raw material was assembled. Compounding with the common additive types; fibres, and metal powders was performed. The size and volumetric output of an extruder was scaling down. Verification was done by mechanical testing, and electron microscopy. The positive result is opening the path to a more accessible composites for both researchers and home producers.
Rethinking System Boundaries for Better Utilisation of Additive Manufacturing Potentials – A Case Study
Authors: Schmitt P. F. , Schnödewind L. , Gericke K. 
Published: May 2022

AbstractThe potentials of additive manufacturing for objectives such as lightweight construction are not yet fully exploited. In this paper, the possibilities of integrative function and system modelling for this challenge will be discussed. In a design study, a triathlon trailer is designed considering the constraints of AM. A suitable system boundary is to be detected using the one-part device method. The findings of the study will help to understand in which form methods such as functional modelling can be applied or adapted for the application of additive manufacturing.
Influences and Effects on Scaling the Pressure Stiffness of Additively Manufactured Meso Structures
Authors: Schulte F. , Sauerzapf L. , Kirchner E. 
Published: May 2022

AbstractAM-meso structures offer a high potential for adapted properties combined with lightweight design. To utilize the potential a purposeful design of the meso structures is required. Therefore, this contribution presents an approach for modelling their properties depending on design parameters by scaling relationships. The relationships are investigated based on grey box and axiomatic models of elementary cells. Exemplary the pressure stiffness is determined using FEM in comparison to an analytical approximation. The comparison reveals effects and influences occurring within the elementary cell.
A New Projection Based Method for the Classification of Mechanical Components Using Convolutional Neural Networks
Authors: Bickel S. , Schleich B. , Wartzack S. 
Published: May 2022

AbstractDigital engineering is increasingly established in the industrial routine. Especially the application of machine learning on geometry data is a growing research issue. Driven by this, the paper presents a new method for the classification of mechanical components, which utilizes the projection of points onto a spherical detector surfaces to transfer the geometries into matrices. These matrices are then classified using deep learning networks. Different types of projection are examined, as are several deep learning models. Finally, a benchmark dataset is used to demonstrate the competitiveness.
On Diverse System-Level Design Using Manifold Learning and Partial Simulated Annealing
Authors: Cobb A. , Roy A. , Elenius D. , Koneripalli K. , Jha S. 
Published: May 2022

AbstractThe goal in system-level design is to generate a diverse set of high-performing design configurations that allow trade-offs across different objectives and avoid early concretization. We use deep generative models to learn a manifold of the valid design space, followed by Monte Carlo sampling to explore and optimize design over the learned manifold, producing a diverse set of optimal designs. We demonstrate the efficacy of our proposed approach on the design of an SAE race vehicle and propeller.
A Method for the Support of the Design for Digital Twin Solution and Its Application on a Gearbox System
Authors: Koch Y. , Husung S. , Röhnert F. , Mahboob A. , Frank M. G. , Kirchner E. 
Published: May 2022

AbstractThe information from Real Twins are increasingly used to construct Digital Twins. Acquisition of information from the Real Twin or in other words performing measurements on the Real Twin may lead to effects in the working of Real Twin. For instance, the introduction of sensors may impair certain functions of a Real Twin. Therefore, it is important to analyse the effect of any change that is performed on the Real Twin for achieving the Digital Twin. In this paper, a method for Digital Twin solution is presented that address these aspects as well as its use is demonstrated by a case example.
Digital Twins and Product-Service Systems: A Synergy with Challenges and Opportunities
Authors: Laukotka F. N. , Rennpferdt C. , Krause D. 
Published: May 2022

AbstractDigital Twins and Product-Service Systems are just two of the recent trends in product development. While many presented approaches seem promising, their implementation often face challenges. This is especially true if existing approaches are transferred onto new applications. Diving into these topics this paper presents the basics but also challenges as well as synergies emerging between them. The objective is set, to move from specialised applications to broader approaches that can provide benefit to a range of applications and ease the entrance, particularly, for smaller enterprises.
Supporting the Transition Towards Electromobility in the Construction and Mining Sector: Optimization Framework and Demonstration on an Electrical Hauler
Authors: Machchhar R. J. , Bertoni A. 
Published: May 2022

AbstractThe paper presents a framework for the integration of the system's design variables, state variables, control strategies, and contextual variables into a design optimization problem to assist early-stage design decisions. The framework is based on a global optimizer incorporating Dynamic Programming, and its applicability is demonstrated by the conceptual design of an electrical hauler. Pareto front of optimal design solutions, in terms of time and cost, together with optimal velocity profiles and battery state-of-charge is visualized for the given mining scenario.
Student vs Machine: Comparing Artificial Neural Network Predictions with Student Estimates of Market Price Using Function Structure Models
Authors: Patel A. R. , Summers J. D. 
Published: May 2022

AbstractThis paper investigates the use of ANNs to model human behaviour in design by comparing the predictive capability of ANNs and engineering students. Function structure models of 15 products are used as input for prediction. The type of information provided varied between topology and vocabulary. Analysis of prediction accuracy showed that ANNs perform comparably to students. However, students are more precise with their predictions. Finally, limitations and future work are discussed, with research questions presented for subsequent research.
A Reinforcement Learning Approach to Predicting Human Design Actions Using a Data-Driven Reward Formulation
Authors: Rahman M. H. , Bayrak A. E. , Sha Z. 
Published: May 2022

AbstractIn this paper, we develop a design agent based on reinforcement learning to mimic human design behaviours. A data-driven reward mechanism based on the Markov chain model is introduced so that it can reinforce prominent and beneficial design patterns. The method is implemented on a set of data collected from a solar system design problem. The result indicates that the agent provides higher prediction accuracy than the baseline Markov chain model. Several design strategies are also identified that differentiate high-performing designers from low-performing designers.
Assessing Machine Learnability of Image and Graph Representations for Drone Performance Prediction
Authors: Song B. , McComb C. , Ahmed F. 
Published: May 2022

AbstractDeep learning (DL) from various representations have succeeded in many fields. However, we know little about the machine learnability of distinct design representations when using DL to predict design performance. This paper proposes a graph representation for designs and compares it to the common image representation. We employ graph neural networks (GNNs) and convolutional neural networks (CNNs) respectively to learn them to predict drone performance. GCNs outperform CNNs by 2.6-8.1% in predictive validity. We argue that graph learning is a powerful and generalizable method for such tasks.
Success Factors for the Validation of Requirements for New Product Generations – A Case Study on Using Field Gathered Data
Authors: Wagenmann S. , Bursac N. , Rapp S. , Albers A. 
Published: May 2022

AbstractThis paper investigates which activities and success factors can be identified for the data-driven validation of functional requirements. For this purpose, a case study is conducted at a machine tool manufacturer. To validate functional requirements by analyzing data of reference products, these activities must be performed iteratively: basic work, interdisciplinary work, programming and check results. For the successful execution of data-driven validation, the success factors: data origin, acceptance, data quality, knowledge about data and combination of domain knowledge must be considered.
SysML 4 Digital Twins – Utilization of System Models for the Design and Operation of Digital Twins
Authors: Wilking F. , Sauer C. , Schleich B. , Wartzack S. 
Published: May 2022

AbstractThe implementation of Digital Twins has become a common task for many industrial companies to ensure a sufficient digitization of their products and maintain competitiveness. This results in the question of how to compensate additional effort caused by designing Digital Twins. With this paper, an approach for this compensation is presented by creating Digital Twin behaviour through utilizing SysML diagrams and directly derivate usable code from them for a further implementation. This offers a part solution of lowering the threshold for using MBSE and increasing its benefits.
Systems Design Using Solution-Compensation Spaces with Built-In Tolerance Applied to Powertrain Integration
Authors: Stumpf J. , Cóndor López J. G. , Naumann T. , Zimmermann M. 
Published: May 2022

AbstractComplexity in systems design can be reduced by computing permissible ranges for some crucial design variables that need to be defined in an early design phase. These ranges are calculated such that there is sufficient tolerance for the remaining design variables in later design phases, while still achieving the overall system design goals. A new algorithm for this approach is presented and applied to the design of a vehicle powertrain mount system. The results show large permissible ranges for mount positions while maintaining sufficient tolerance for mount stiffnesses.