bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human-in-the-Loop Design with Machine Learning
Authors: Wang Pan , Peng Danlin , Li Ling , Chen Liuqing , Wu Chao , Wang Xiaoyi , Childs Peter , Guo Yike 
Published: July 2019

AbstractDeep learning methods have been applied to randomly generate images, such as in fashion, furniture design. To date, consideration of human aspects which play a vital role in a design process has not been given significant attention in deep learning approaches. In this paper, results are reported from a human- in-the-loop design method where brain EEG signals are used to capture preferable design features. In the framework developed, an encoder extracting EEG features from raw signals recorded from subjects when viewing images from ImageNet are learned. Secondly, a GAN model is trained conditioned on the encoded EEG features to generate design images. Thirdly, the trained model is used to generate design images from a person's EEG measured brain activity in the cognitive process of thinking about a design. To verify the proposed method, a case study is presented following the proposed approach. The results indicate that the method can generate preferred designs styles guided by the preference related brain signals. In addition, this method could also help improve communication between designers and clients where clients might not be able to express design requests clearly.
Addressing Cognitive Challenges in Design – A Review on Existing Approaches
Authors: Ning Weining , Goodman-Deane Joy , Clarkson P. John 
Published: July 2019

AbstractInsufficient design often causes challenges to users on a cognitive level, hindering them from interacting with products smoothly. There is a lack of effective design tools and supporting materials that can help designers to understand human cognition and how it affects the way that users experience and use products and services. This paper aims to identify current approaches that can be applied to address this issue, and to examine their strengths and weaknesses. This helps to identify future directions for developing and improving cognitive design supports. A literature review was conducted of research publications in the fields of both design and cognition. Four key approaches are identified: cognitive design principles/guidelines, the demand-capability approach, cognitive walkthrough and cognitive modelling. Their strengths and weaknesses are analyzed from a design standpoint. The paper also analyses the underlying causes of the insufficient uptake of cognitive design approaches by designers.
Integrating the Product Development Process in Scientific Research. Bridging the Research-Market Gap
Authors: Mesa David , Thong Christine , Ranscombe Charles , Kuys Blair 
Published: July 2019

AbstractScience and technology generated by Universities has many challenges in reaching commercial product applications, as has been explored in a range of literature. Product design has been identified to add value through various types of contributions in addressing these challenges; however, there remains a gap in literature to explore how and when product development activities can practically be applied to technology development.This paper furthers the idea that the product development process can help bridge the gap between the laboratory and commercial applications by proposing a framework for how Ulrich and Eppinger's product development process can integrate with the STAM technology development model. This is a significant step towards understanding how in practice these disciplines can work together to bring science and technology from the laboratory to products in the marketplace.
Empirical Study of Car Crash Simulation Analysis within the Development Phase
Authors: Fatfouta Naouress , Stal-Le Cardinal Julie , Royer Christine 
Published: July 2019

AbstractCar crash simulation analysis is an important phase within the vehicle development. It intends to analyse the crashworthiness of the vehicle model and examine the level of passive security. However, this activity is not trivial because of the considerable collaboration within the project, the large amount of analysed and exchanged data and a high exigency. Consequently, a solution to assist, ease and reduce the time of the process is desired.To study the current practices followed in the car crash simulation analysis an empirical study has been conducted. This study has been applied within the simulation analysis team, in the development phase, within an automotive company. This paper describes a qualitative analysis of the industrial context and diagnoses the dysfunctions in the current practices. This paper also highlights the current challenges encountered in the car crash simulation analysis.
Energy Efficient Motion Design and Task Scheduling for an Autonomous Vehicle
Authors: Xidias Elias , Azariadis Philip 
Published: July 2019

AbstractThis paper describes an approach for designing an energy efficient motion and task scheduling for an autonomous vehicle which is moving in complicated environments in industrial sector or in large warehouses. The vehicle is requested to serve a number of workstations while moving safely and efficiently in the environment. In the proposed approach, the overall problem is formulated as a constraint optimization problem by using the Bump-Surface concept. Then, a Pareto-based multi- objective optimization strategy is adopted, and a modified genetic algorithm is developed to determine the Pareto optimum solution. The efficiency of the developed method is investigated and discussed through simulated experiments.
Global Optimisation of Car Front-End Geometry to Minimise Pedestrian Head Injury Levels
Authors: Kianifar Mohammed Reza , Campean Felician 
Published: July 2019

AbstractThe paper presents a multidisciplinary design optimisation strategy for car front-end profile to minimise head injury criteria across pedestrian groups. A hybrid modelling strategy was used to simulate the car- pedestrian impact events, combining parametric modelling of front-car geometry with pedestrian models for the kinematics of crash impact. A space filling response surface modelling strategy was deployed to study the head injury response, with Optimal Latin Hypercube (OLH) Design of Experiments sampling and Kriging technique to fit response models. The study argues that the optimisation of the front-end car geometry for each of the individual pedestrian models, using evolutionary optimisation algorithms is not an effective global optimization strategy as the solutions are not acceptable for other pedestrian groups. Collaborative Optimisation (CO) multidisciplinary design optimisation architecture is introduced instead as a global optimisation strategy, and proven that it can enable simultaneous minimisation of head injury levels for all the pedestrian groups, delivering a global optimum solution which meets the safety requirements across the pedestrian groups.
Conceptual Design for Assembly in Aerospace Industry: A Method to Assess Manufacturing and Assembly Aspects of Product Architectures
Authors: Bouissiere Francois , Cuiller Claude , Dereux Pierre-Eric , Malchair Corentin , Favi Claudio , Formentini Giovanni 
Published: July 2019

AbstractIn recent years, the air transport market has quickly grown, creating new civil aircrafts demand, challenging the actual production rate of aerospace industries. The bottleneck of the current civil aircrafts production rate lies in the capability of the manufacturing and assembly facilities in relation to the aircrafts architecture design.The aim of this work is to develop a methodology and a related mathematical model that can be used at the conceptual design phase for the assessment of criticalities related to the product assemblability. The methodology allows to recognize modules and/or interfaces which are mostly affecting the assembly time providing a design tool for the comparison and evaluation of product architecture alternatives.A preliminary application has been done on the nose-fuselage of a civil aircraft for passenger transport. The test case provides interesting outcome in the identification of modules and module interfaces which are strongly affecting the assembly phase and required a re-arrangement (new architecture design) for the process improvement.
Tracing Paths and Connecting Multiple Design Domains: An Information Visualisation Approach to Product Architecture Modelling
Authors: Idrissov Agzam , Parraguez Pedro , Maier Anja M. 
Published: July 2019

AbstractVisual representation of product architecture models is crucial in complex engineering systems design. However, when the number of entities in a model is large and when multiple levels of hierarchies are included, visual representations currently in use need to be more intuitive. As such, improved visual representations that enable better system overview and better communication of essential product- related information among design participants are needed. This paper uses interactive information visualisation techniques – collapsible hierarchical tree, edge bundling and alluvial diagram – and provides the foundations of a computerised tool that improves the traceability of connections between design domains, including stakeholders, requirements, functions, behaviours and structure. The case of a cleaning robot is used as an illustrative example. The approach supports designers by providing an enhanced overview during the development of complex product architecture models, in particular in the communication with external stakeholders, in the identification of change propagation paths across several design domains, and in capturing the design rationale of previous design decisions.
An Approach for Choosing the Cost Effective Design for a Product-Service System While Maintaining its Desired Reliability
Authors: Schneider Jannik Alexander , Mozgova Iryna , Lachmayer Roland 
Published: July 2019

AbstractWith the spread of product-service systems as business models the life cycle costs are of increasing importance as a measurement of product cost. A key factor that drives these costs is the desired reliability of the products used to provide the service. Since the customer usually expects as uninterrupted service availability, it is imperative to achieve the the required reliability. Therefore a large variety of methods has been developed to maximize the reliability of a product. But these approaches focus on the maximization of the reliability and disregard the resulting product costs. This can lead to designs that over perform concerning their reliability requirements but also exceed their target costs. Which will result in the product-service system not being competitive in the marketplace or lowering the company's profit. This paper shows an approach on how to use markov chains to enable a quick comparison of life cycle costs from different product-service system designs With this it will be possible to make better informed decisions about the costs of a system while still meeting the reliability targets.
Ecodesign from High School to Bachelor Level: A French Case Study
Authors: Perpignan Catherine , Robin Vincent , Baouch Yacine , Eynard Benoit 
Published: July 2019

AbstractNowadays, our society needs that an awareness be made about our impact on the planet. Many more or less alarmist reports tell us that there is a need to change our consumption patterns, production and energy consumption … One of the main axes to achieve these goals is education. Thus integrating sustainable development into the skills of future engineers is an essential challenge but above all a necessity to modify and reduce our impact on the environment and to allow a global understanding of the complexity of our society. For this, companies must also evolve. Some will do so in a strategy of greening their image, others will have to comply with the various regulations of their sector of activity and a final category of these companies will use this opportunity as a vector of innovation. Each at their level will make a contribution, the integration over time of new sustainability skills within their staff will expand their action. In this article, we will focus our study on the integration of ecodesign in the industry and the impact that this generates in terms of skills to acquire, values to evolve and knowledge to master.
Eco-Innovation by Anticipatory Failure Determination (AFD) Method
Authors: Chen Jahau Lewis , Hung Chuan 
Published: July 2019

AbstractThis paper presents an eco-innovation method by revised the “Anticipatory Failure Determination (AFD)” method which is the failure analysis tools in TRIZ theory. Using the functional analysis to list the system process and make the functional analysis model. Based on the environmental efficiency factors and functional analysis model, Substance-Field inverse analysis can find a lot of failure modes in the system. In order to assess the priority of risk improvement, the designer can calculate the environmental risk priority number including controlling documents, public image and environmental consequences. Designer can quickly find out the potential failure mode in the complex engineering system with the systematic steps. The TRIZ methods are used for finding eco-innovation idea to solve failure problem. The capability of the whole eco-innovative design process was illustrated by the electrical motorcycle case.
Promoting Eco-Innovation in Academic Eco-Systems
Authors: Yannou-Le Bris Gwenola , Jubera Romane , Olsson Annika , Cerf Marianne 
Published: July 2019

AbstractUniversity incubators are an opportunity to promote the dissemination of research, change teaching practices and contribute to territorial economic development. In this article we present a structural and dynamic analysis of such an innovation system of a Swedish eco-innovation system by proposing elements for analysing the success of such innovation systems.
Sustainability Research Implementation in Product Development - Learnings from a Longitudinal Study
Authors: Hallstedt Sophie I. , Nylander Johanna W. 
Published: July 2019

AbstractIndustry is a main stakeholder when it comes to realising the transition towards a sustainable future. Academia, with its, knowledge and methods, needs to support the industry on this journey. This paper, focuses on the practical learnings on how to implement sustainability research from an industrial perspective. It aims to share some lessons learnt from a longitudinal case study and a development journey in implementing sustainability research in the product innovation process at GKN Aerospace Engine System. The paper gives an overview, based on a literature study, of what is required to successfully implement sustainability in product development. It also provides a summary of the different research projects at the company with learnings from practical and academic perspectives, and the main learnings and changes in relation to different development phases in the sustainability journey. Although, this journey began over ten years ago, and shows the importance of long-term collaboration, it provides key-factors that can be applied also in short term collaborations and for faster implementation of research in general and sustainable product development research in particular.
Implementation of Parameterized Work Piece Deviations and Measurement Uncertainties into Performant Meta-models for an Improved Tolerance Specification
Authors: Müller Andreas Michael , Oberleiter Thomas , Willner Kai , Hausotte Tino 
Published: July 2019

AbstractGeometrical work piece deviations are unavoidable and directly affect the function and quality of technological products. Tolerance management is regarded as a crucial subtask of the development of technological products, because it ensures the function as well as a sufficient product quality while maintaining reasonable production costs. That means, that geometric tolerances as an essential part of the product description greatly affect the functional capability, manufacturability, mountability, verifiability and the costs of the final product. The research group FOR 2271 was founded to enable the computer-aided specification of tolerances, which meet the requirements of production, assembly, verification and function by close cooperation between the departments responsible for product design, assembly and metrology. The aim of this contribution is to determine the manufacturing process scatter as well as the measurement uncertainty and establish ways and means to include that information into efficient meta-models, ultimately enabling improved and accurate tolerance analyses.
Sequential Updating of Quantitative Requirements for Increased Flexibility in Robust Systems Design
Authors: Funk Matthias , Jautze Marcus , Strohe Manfred , Zimmermann Markus 
Published: July 2019

AbstractIn early development stages of complex systems, interacting subsystems (including components) are often designed simultaneously by distributed teams with limited information exchange. Distributed development becomes possible by assigning teams independent design goals expressed as quantitative requirements equipped with tolerances to provide flexibility for design: so-called solution-spaces are high-dimensional sets of permissible subsystem properties on which requirements on the system performance are satisfied. Edges of box-shaped solution spaces are permissible intervals serving as decoupled (mutually independent) requirements for subsystem design variables. Unfortunately, decoupling often leads to prohibitively small intervals. In so-called solution-compensation spaces, permissible intervals for early-decision variables are increased by a compensation mechanism using late-decision variables. This paper presents a multi-step development process where groups of design variables successively change role from early-decision to late-decision type in order to maximize flexibility. Applying this to a vehicle chassis design problem demonstrates the effectiveness of the approach.
A Critical Review of the Integrated Logistics Support Suite for Aerospace and Defence Programmes
Authors: Vaskic Ljubisa , Paetzold Kristin 
Published: July 2019

AbstractThe Integrated Logistics Support (ILS) can be described as an approach for optimisation of in-service (logistics) activities and minimisation of the life cycle costs of a system. ILS is an integral part of systems engineering in aerospace and defence programmes.More recently, the Aerospace and Defence Industries Association of Europe (ASD) has released a broad set of specifications for ILS, the so-called ASD ILS Suite. Most of these specifications are published in cooperation with the Aerospace Industries Association of America (AIA) and one specification with AIA and the Airlines for America (A4A). Thus, the ASD ILS Suite is recognised and used in the largest aerospace and defence markets.The aim of this paper is to present the results of a critical review on the readiness of the ASD ILS Suite for its applicability in aerospace and defence programmes.
Ai Motion Control – A Generic Approach to Develop Control Policies for Robotic Manipulation Tasks
Authors: Kurrek Philip , Jocas Mark , Zoghlami Firas , Stoelen Martin , Salehi Vahid 
Published: July 2019

AbstractCurrent robotic solutions are able to manage specialized tasks, but they cannot perform intelligent actions which are based on experience. Autonomous robots that are able to succeed in complex environments like production plants need the ability to customize their capabilities. With the usage of artificial intelligence (AI) it is possible to train robot control policies without explicitly programming how to achieve desired goals. We introduce AI Motion Control (AIMC) a generic approach to develop control policies for diverse robots, environments and manipulation tasks. For safety reasons, but also to save investments and development time, motion control policies can first be trained in simulation and then transferred to real applications. This work uses the descriptive study I according to Blessing and Chakrabarti and is about the identification of this research gap. We combine latest motion control and reinforcement learning results and show the potential of AIMC for robotic technologies with industrial use cases.
Combining Unmergeables: A Methodological Framework for Axiomatic Fusion of Qualitative Design Theories
Authors: Horvath Imre 
Published: July 2019

AbstractThe proposed methodological framework concerns axiomatic theory fusion (ATF) of non-additive engineering design theories. ATF includes seven steps: (i) semantic discretization of the composite theories, (ii) deriving epistemological entities by logical/semantic analysis, (iii) establishing and representation of relations among all relevant epistemological entities, (iv) combining the inter- theoretical epistemological entities of the component theories, (v) deriving propositions based on the combined set of epistemological entities, (vi) transcription of the epistemological entities and propositions into a textual/visual theory description, and (vii) validation of the resultant theory in application contexts. The proposed framework makes ATF an effective, content independent methodology for fusing component theories, no matter if they are descriptive, explanatory, predictive or controlling in nature. ATF methodology requires professional comprehension and rigor from the researchers. It is necessary to justify the logical correctness and practical validity of the target theory in the specific application context.
Consistent Modelling of the Impact Model of Modular Product Structures with Linking Boundary Conditions in SysML
Authors: Schwede Lea-Nadine , Hanna Michael , Wortmann Nadine , Krause Dieter 
Published: July 2019

AbstractThe challenges related to product structures, which go hand in hand with megatrends such as individualization, can be met with the modularity of product structures. With the help of various modularization methods, modular product structures are created with regard to different goals. There are many references to the effects of modular product structures on life phases and economic targets in the literature. These effects were collected in previous research in a generic impact model. Since there is a lot of information about the effects, such models become very comprehensive and thereby difficult to handle. For this reason, the impact model is consistently generated using SysML. The adaptation to company scenarios is possible through the use of simulations with which, for example, company-related and product-related boundary conditions can be controlled by means of a User Interface.
Early Stage Model Based System Design under Uncertainties
Authors: Oizumi Kazuya , Ito Akio , Aoyama Kazuhiro 
Published: July 2019

AbstractSystem design at the early stage of design plays an important role in design process. Model based systems engineering is seen as a prominent approach for this challenge. System design can be explored by means of system simulation. However, as the system is a complex system, system model tends to have high level of abstraction. Therefore, the models cannot depict every details of the system, which makes optimization unreasonable.Furthermore, at the early stage of design, there are many uncertainties such as success of technological developments. By properly incorporating uncertain factors in system design, the system can be tolerant. Currently system design is conducted by experienced experts. However, for more complex system, it would be difficult to continue the current practice. Therefore, a method to support design team to make decision in system design is needed.This paper proposes a computational support for the system design. Design constraints, which seems the core information that design team wants at system design, are modeled. By visualizing constraints quantitatively and intuitively, the proposed method can support design team to conduct system design and design study.