bluuebunny/crossref_metadata_2025_split huggingface dataset:
METHOD FOR REFERENCE-BASED MANUFACTURING COST ESTIMATION – EVALUATION STUDY USING A PROTOTYPE
Authors: Hellweg Fynn , Cacaj Ardian , Haneke Simon , Albers Albert 
Published: June 2023

AbstractWithin product development, manufacturing cost estimation provides a sound basis for design and management decisions. This secures companies profitability, but the effort is high and deep knowledge at the interface of design, manufacturing and costs is needed. These issues can be eased with automation enabled by semantic technologies. Therefore, the authors developed a method for reference-based manufacturing cost estimation and created a prototype. This research evaluates the method and the prototype. Observation, interview and questionnaire were conducted with ten experienced cost engineers at a large German manufacturing company.Based on its results, the study shows the methods contribution to lower estimation effort, while the impact on transparency and the knowledge base was only partly verified. The method steps show different automation potential, so an incremental automation should be considered. Even though semantic technologies show high potential for identifying reference system elements in this study, the limiting factor for automation in manufacturing cost estimation remains the low availability of product and manufacturing information and missing knowledge of its connection within product development.
METHOD FOR THE INTEGRATION OF COMPUTER AIDED MANUFACTURING DATA IN LIFE CYCLE ASSESSMENT
Authors: Quernheim Niklas , Winter Sven , Arnemann Lars , Schleich Benjamin 
Published: June 2023

AbstractPrecise sustainability assessment becomes increasingly important in decision-making, marketing, and regulations. Therefore, reliable and comparable LCA becomes mandatory. Currently, primary data is rarely available due to vastly complex value chains. Secondary data from eco-databases provide a remedy to estimate the sustainability impacts of up- and downstream processes. While giving insights and estimations, this data is seldom fitting exactly to the own processes and lacks comparability. Therefore, this paper proposes a method to close the gap between unreliable secondary data and unavailable primary data. This gap is to be closed by the integration of simulated process data. CAM is a tool during the work preparation to assess the design's manufacturability, decrease set-up times and optimize the NC code. However, integrating DES into LCA is still subject to research and will be discussed in this paper. This paper answers the question of the necessary steps to integrate the simulated production process in an LCA to increase the quality and reliability of sustainability indicators. A method is presented, and the implementation of the steps with the help of a developed assistance system on an example is performed.
MITIGATING UNCERTAINTY IN CONCEPTUAL DESIGN USING OPERATIONAL SCENARIO SIMULATIONS: A DATA-DRIVEN EXTENSION OF THE EVOKE APPROACH
Authors: Bertoni Alessandro 
Published: June 2023

AbstractThe paper presents an approach where the iterative replication of Discrete Event Simulations on future operational scenarios is used to derive data-driven design merit functions. The presented contribution proposes an extension of the EVOKE (Early Value Oriented Design Exploration with Knowledge Maturity) approach determining when and how the experience-based judgment about maximization, minimization, optimization, and avoidance functions, correlating value drivers and quantified objectives, can be substituted by data-driven mathematical functions obtained by scenarios simulations. The approach is described through a simplified case concerning the development of autonomous electric vehicles to complement the public transport system in the city of Karlskrona in Sweden. The consideration of value drivers and quantified objectives presented is meant to support a preliminary screening of potential design configurations to support the definition of high-level product and system-related functional requirements, to be run before a more detailed conceptual design analysis.
MODEL-BASED SYSTEMS ENGINEERING USING SECURITY DESIGN PATTERNS IN THE CONTEXT OF ISO/SAE 21434
Authors: Japs Sergej , Faheem Faizan , Anacker Harald , Husung Stephan , Dumitrescu Roman 
Published: June 2023

AbstractThe development of modern vehicles is complex, especially regarding compliance with security and safety. ISO/SAE 21434 considers security and safety along the entire product life cycle. According to the standard, a system architecture, a risk analysis, and the application of countermeasures are carried out in the early system design. Design patterns are solutions to known design problems. Security Design Patterns (SDP) describe countermeasures and are used to reduce risk. After our literature review, we did not find a suitable approach that presents SDPs that would be applicable in early system design. In this paper, we present 10 SDPs for early system design, which we evaluated during an 11-week student project with 28 teams. We present the results of the quantitative analysis and the evaluation of the feedback.
MODULAR MAINTENANCE DECISION ARCHITECTURE
Authors: Agergaard Julie Krogh , Sigsgaard Kristoffer Wernblad , Mortensen Niels Henrik , Didriksen Simon , Hansen Kasper Barslund , Ge Jingrui 
Published: June 2023

AbstractThe operation of large production assets requires many decisions from the acquisition and design of new assets to the choice of lubricant for a specific piece of equipment. The decisions made in maintenance have a direct effect on the management of the production process, making it important to ensure correct maintenance decision making. However, studies on maintenance decision making tend to focus on smaller areas of decisions being made in a process, but rarely the entire process. To introduce more studies that consider the entire maintenance process, this paper proposes using a modular Maintenance Decision Architecture. The paper introduces a framework for structuring information sources into standardized information modules and mapping them to maintenance decisions made across the entire organization. The application of approaches from product, system, and service engineering are used to support the management of the complexities of maintenance of large production facilities.
MULTI-CRITERIA DECISION-MAKING METHODS APPLIED TO ACHIEVE SUSTAINABLE DESIGN: A SYSTEMATIC REVIEW
Authors: Xu Tianming , Liu Wei , Zhu Zicheng 
Published: June 2023

AbstractSustainability is an issue concerned with social, economic and environmental problems. The primary aim of sustainability is to fulfil the needs of the present society without compromising potential needs of future generations. Product design has a significant impact on sustainability, and a sensible decision-making process that considers trade-offs at early design stage is critical to the success of product design that addresses environmental sustainability issues. This study aims to identify and review the decision-making process for environmentally sustainable design. A comprehensive literature review has been performed to establish the trends over the past two decades. The decision-making process for sustainable design has been summarised, and the frequently-used decision-making methods, such as ANP/AHP, TOPSIS, and BWM, have been identified and discussed. A framework for the selection of Multi-criteria Decision-making (MCDM) methods has been developed to aid researchers to select appropriate MCDM methods in sustainable design. In addition, future research opportunities have also been identified.
NEEDFINDING PRACTICE: ENHANCING STUDENTS' PROBLEM FRAMING SKILLS THROUGH ITERATIVE OBSERVATION FOR BUSINESS INNOVATION
Authors: Kim Seoyoung , Kim Sohyeong , Koo Jeamin 
Published: June 2023

AbstractThe ambidextrous balance of combining quantitative and qualitative approach is crucial to achieve business innovation in our ever-changing society. While exploring the early stages of a problem space, profound and iterative observations of human behaviors allow designers to discover unusual insights and users’ needs. In this regard, the purpose of this study is to introduce the Needfinding Practice course at KAIST and emphasize the importance of observational research to frame new business opportunities. Main learning goal of this course is to expand the problem finding phase for enhancing students’ creativity and divergent thinking abilities. In this study, we have conducted a literature review on needfinding through observation and how the early stage of design thinking process is related to understanding users deeply. By presenting students’ field research projects, we highlighted the process of identifying unexpected latent needs to gain qualitative data for future business implications.
NEW OPPORTUNITIES AND BENEFITS IN THE PRODUCT DEVELOPMENT PROCESS USING THE MACHINE LEARNING BASED DIRECT INVERSE METHOD FOR MATERIAL PARAMETER IDENTIFICATION
Authors: Meißner Paul , Vietor Thomas 
Published: June 2023

AbstractFinite element (FE) simulations can be used both in the early product development phase to evaluate the performance of developed components as well as in later stages to verify the reliability of functions and components that would otherwise require a large number of physical prototype tests. This requires calibrated material cards that are capable of realistically representing the specific material behavior. The necessary material parameter identification process is usually time-consuming and resource-intensive, which is why the direct inverse method based on machine learning has recently become increasingly popular. Within the neural network (NN) the generated domain knowledge can be stored and retrieved within milliseconds, which is why this method is time and resource-efficient. This research paper describes advantages and potentials of the direct inverse method in the context of the product development process (PDP). Additionally, arising transformation opportunities of the PDP are discussed and an application scenario of the method is presented followed by possible linkage potentials with existing development methods such as shape optimization.
OPERATIONALISING CONCEPTS OF DIGITAL TWINS ON DIFFERENT MATURITY LEVELS (FOETAL, CHILD, ADULT) FOR THE ARCHITECTURAL DESIGN PROCESS
Authors: Emir Isik Gülbahar , Hubertus Achten Henri 
Published: June 2023

AbstractA digital twin is the mapping of a physical twin between hybrid spaces. The lifecycle of digital and physical twins occurs through the concepts of foetal, child, and adult twins. This technology can be used to assist clients and designers with real-time data. The use of digital twin technology in architectural design can be realised at various stages, from design to operation. Designers will be able to gain knowledge of the past, present, and future using this technology. This will reveal possible design scenarios. In this study, a hypothetical scenario is designed, in which designers build a building while already having a digital twin template. To do this, Building Information Modelling (BIM) is used as a reference model for digital twins, along with the fidelity levels of digital twins and the level of detail-development of BIM. When designers want to design a new project related to their predecessors, they already use the same type of digital twin-building portfolio they can use for their new design. A digital twin will help optimise the new process. Therefore, the digital twin of a building with a similar building type can be used to extract relevant data for the design process.
OPERATOR 4.0 FOR HYBRID MANUFACTURING
Authors: Fillingim Kenton Blane , Feldhausen Thomas 
Published: June 2023

AbstractHybrid manufacturing, a combination of additive and subtractive manufacturing capabilities in one system, has recently become a more viable production option across several industries. Although current hybrid manufacturing research covers a broad range of topics, there is a lack of focus on how this new technology impacts both the designer and the operator of hybrid systems. This paper identifies areas of literature across design theory and Industry/Operator 4.0 research efforts and presents a path for applying this research to hybrid manufacturing users. The unique relationship between operator and designer is highlighted as they learn new strategies and develop new intuitive judgements over time to become the first experienced/expert users of hybrid manufacturing. The potential impact of excessive cognitive workload due to the novel combination of processes is discussed. This paper begins a critical discussion about proper knowledge transfer to other hybrid designers and operators, as well as towards efforts of monitoring, inspecting, and automating hybrid manufacturing processes.
OPTIMISED MODELS FOR AR/VR BY USING GEOMETRIC COMPLEXITY METRICS TO CONTROL TESSELLATION
Authors: Dammann Maximilian Peter , Steger Wolfgang , Paetzold-Byhain Kristin 
Published: June 2023

AbstractAR/VR applications are a valuable tool in product design and lifecycle. But the integration of AR/VR is not seamless, as CAD models need to be prepared for the AR/VR applications. One necessary data transformation is the tessellation of the analytically described geometry. To ensure the usability, visual quality and evaluability of the AR/VR application, time consuming optimisation is needed depending on the product complexity and the performance of the target device.Widespread approaches to this problem are based on iterative mesh decimation. This approach ignores the varying importance of geometries and the required visual quality in engineering applications. Our predictive approach is an alternative that enables optimisation without iterative process steps on the tessellated geometry.The contribution presents an approach that uses surface-based prediction and enables predictions of the perceived visual quality of the geometries. This contains the investigation of different geometric complexity metrics gathered from literature as basis for prediction models. The approach is implemented in a geometry preparation tool and the results are compared with other approaches.
OPTIMIZING REQUIREMENTS FOR MAXIMUM DESIGN FREEDOM CONSIDERING PHYSICAL FEASIBILITY
Authors: Rodrigues Della Noce Eduardo , Zimmermann Markus 
Published: June 2023

ABSTRACTSolution spaces are sets of designs that meet all quantitative requirements of a given design problem, aiding requirement management. In previous works, ways of calculating subsets of the complete solution space as hyper-boxes, corresponding to a collection of permissible intervals for design variables, were developed. These intervals can be used to formulate independent component requirements with built-in tolerance. However, these works did not take physical feasibility into account, which has two disadvantages: first, solution spaces may be useless, when the included designs cannot be realized. Second, bad designs that are not physically feasible unnecessarily restrict the design space that can be used for requirement formulation.In this paper, we present the new concept of a requirement space that is defined as the largest set of designs that (1) allows for decomposition (e.g., into intervals when it is box-shaped), (2) maximizes the useful design space (good and physically feasible), and (3) excludes the non-acceptable design space (bad and physically feasible). A small example from robot design illustrates that requirement spaces can be significantly larger than solution spaces and thus improve requirement decomposition.
PARAMETRIC MODELLING OF THE EXTERIOR DESIGN OF AUTONOMOUS SHUTTLES
Authors: Hafemann Philipp , Daumoser Manuel , Lienkamp Markus 
Published: June 2023

AbstractAutonomous vehicles for the last mile are a promising use case for advancing autonomous driving in real-world traffic. For this purpose, traditional car manufacturers and newcomer companies develop a new vehicle concept: the autonomous shuttle. During the development, components from the automation domain, such as the sensors, must be placed and integrated into the vehicle body. The trade-offs between the functional performance of the perception and the exterior design must be evaluated early in the design process. For this purpose, a model of the vehicle exterior is needed. In this contribution, we present a method for parametric modeling of the vehicle exterior of autonomous shuttles. We define 17 input parameters and use computer-aided design to create a virtual model of the body and the wheelhouses. In the results, we validate our method by ensuring that existing shuttles can be modeled with our approach and also analyze the limitations. The model supports decision-making in the early design phase by enabling quick iterations between sensor placement and exterior design.
PRELIMINARY DESIGN OF NON-LINEAR SYSTEMS BASED ON GLOBAL SENSITIVITY ANALYSIS AND MODELICA LANGUAGE
Authors: Vuillod Bruno , Panettieri Enrico , Hallo Ludovic , Montemurro Marco 
Published: June 2023

AbstractIn the last few years, the growing need of highly reliable and time-effective strategies to perform preliminary design of complex systems has led industries to adopt the Model Based System Engineering (MBSE) approach. In MBSE, systems are split into multiple sub-systems and the relevant physical phenomena are described via analytical or numerical models. When a significant number of design variables are to be considered, a smart approach to reduce the number of analyses to perform would be to make use of the Global Sensitivity Analysis (GSA) to higlight those variables that have a more significant influence on the system output. Moreover, an even more significant reduction of computational cost to perform the GSA can be achieved if the complex system modelled via the MBSE approach is exported under the Functional Mock-Up Interface (FMI) norm. In this context, this paper proposes an original approach to address the study of two constructive solutions of an acceleration measuring device typically used on airbags for which the use of a new solution characterized by a porous material is compared with a classical one.
PROBLEMS: EASY TO SAY BUT DIFFICULT TO WRITE
Authors: Giordano Vito , Consoloni Marco , Chiarello Filippo , Fantoni Gualtiero 
Published: June 2023

AbstractPatents are an invaluable source of data that can be beneficial for Engineering Design (ED). Patenting is one of the main means for disclosing the inventive process. For this reason, the description of the problem solved should also be included in any patents.The ED literature lacks a proper definition of a problem, resulting in a fragmented scenario. Prior studies have employed Text Mining (TM) to extract problems from patents. We argue that TM can assist ED researchers in understanding how problems are articulated in text. Based on the literature, we propose two hypotheses: (1) problem-related text exhibits a negative sentiment polarity compared to other sections of patents; (2) problem-related keywords identified in the literature are predominantly used to describe problems rather than other aspects.We analyse Japanese patents to validate our hypotheses, since they explicit Problem and Solution in the abstract. Finally, we compare our results with a set of problem-related sentences extracted from USPTO patents.Our study reveals a higher positive sentiment in problem-related sentences compared to solution-related ones and highlights the inadequacy of using problem-related keywords alone to differentiate between the two.
PRODUCT LIFE CYCLE MANAGEMENT WITH DIGITAL TWINS FOR PRODUCT GENERATION DEVELOPMENT
Authors: Arnemann Lars , Winter Sven , Quernheim Niklas , Schleich Benjamin 
Published: June 2023

AbstractDigital Twins are virtual representations of a product-service-instance and, as a technology, represent an important part of the realization of Industry 4.0. They manage data of the associat-ed product instance and can also have functions for simulation to achieve cost and resource savings while simultaneously increasing product quality. In this paper, a need for action for the implementation of a systematic approach for the returning of data of Digital Twins into the product design is identified and a methodology is developed as an answer. This methodology realizes an information management, which supports holistic data and information flows. It de-fines necessary steps for the implementation of data and information transport, starting from a data management up to information provision in product design. Based on a performed potential analysis for the identification of intended uses in the context of product design, the overall ap-plication focus is narrowed down to the development of new product generations to support the requirements development. The concept structure consists of Digital Twins, a data mining sys-tem for the transformation of data into information and a presentation system for managing the information provided.
A MULTI-CRITERIA DECISION-MAKING APPROACH TO OPTIMIZE THE PART BUILD ORIENTATION IN ADDITIVE MANUFACTURING
Authors: Sartini Mikhailo , Luca Manuguerra , Claudio Favi , Marco Mandolini 
Published: June 2023

AbstractThe part build orientation is a manufacturing variable that must be considered when designing a product to maximise AM opportunities. There are several approaches to selecting the best print direction in the scientific literature by considering different criteria. However, most of the studies are focused on specific AM technologies. It is missing a general method that evaluates a widespread number of criteria. Furthermore, such approaches expect designers establish weights for technical criteria that are too specific, especially during the preliminary design steps. Designers are familiar with criteria like cost-effectiveness, productiveness, quality and mechanical strength.The paper presents a multi-criteria decision-making approach to optimise the build part orientation in additive manufacturing. The method considers five decision-making criteria (cost-effectiveness, rapidity, productiveness, quality and mechanical strength) and seventeen specific technical criteria. TOPSIS is the method used to optimise the build part orientation. A case study of three components exemplifies the five steps of the procedure.
RELATIONS BETWEEN COGNITIVE ABILITY AND CREATIVE DESIGN QUALITY
Authors: Yin Yuan , Childs Peter 
Published: June 2023

AbstractThe study aims to identify the relations between creative design quality and content of the memorising precedents, association, and combination of information processes in a design context. 71 participants were recruited to finish a creative design task. Think aloud and interview were conducted during and after the creative design task to understand the content of the memorising precedents, association, and combination of information processes. The 71 creative designs were then assessed by five experts in creative design. The results from this study revealed that participants who generated high-creativity design tend to memorize various topic-related precedents, associate items based on topic-related information, and combine topic-related information with products. Participants who generated low-creativity design tend to memorize characteristics of a specific space of the design topic, associate items based on specific topic-related information, and add the topic-related pattern to a product.