Dissertations / Theses on the topic 'Engineering design reasoning'
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Balazs, Marton E. "Design simplification by analogical reasoning." Link to electronic version, 1999. http://www.wpi.edu/Pubs/ETD/Available/etd-0209100-051108/.
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Hounsell, Marcelo da Silva. "Feature-based validation reasoning for intent-driven engineering design." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/33152.
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Feature based modelling represents the future of CAD systems. However, operations such as modelling and editing can corrupt the validity of a feature-based model representation. Feature interactions are a consequence of feature operations and the existence of a number of features in the same model. Feature interaction affects not only the solid representation of the part, but also the functional intentions embedded within features. A technique is thus required to assess the integrity of a feature-based model from various perspectives, including the functional intentional one, and this technique must take into account the problems brought about by feature interactions and operations. The understanding, reasoning and resolution of invalid feature-based models requires an understanding of the feature interaction phenomena, as well as the characterisation of these functional intentions. A system capable of such assessment is called a feature-based representation validation system. This research studies feature interaction phenomena and feature-based designer's intents as a medium to achieve a feature-based representation validation system.
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Goel, Ashok Kumar. "Integration of case-based reasoning and model-based reasoning for adaptive design problem solving /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487673114115037.
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Vinney, John Edward. "Function based techniques for assisting engineering conceptual design." Thesis, University of the West of England, Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387937.
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The basic concept of this work is that functional modelling techniques are applicable to and of practical use in, producing a qualitative model of conceptual engineering design. A qualitative function based model of conceptual design has been developed and a computer based implementation has been built and tested. The rationale behind the modelling scheme and the computer implementation are described in detail. In addition to a review of existing models of design the research provides a significant new capability in four main areas: • An ability to generate new concepts with a controlled degree of similarity to existing designs. • A new function based model of engineering conceptual design. • The COncept Design ASsistant (CODAS) system, a computer based implementation of the function based model, has been developed and tested. • A new symbolic representation language. CODAS is a hybrid case-based and function-based modelling system, implemented in the domain of mechanical device design, which demonstrates the practical application of this new model. The CODAS system aims to provide a design support tool which can invent both routine and novel devices based on experience gained from past successful design solutions. Fast and efficient data handling is achieved by utilizing Case Based Reasoning (CBR) technology to store and retrieve past design solutions which are defined in terms of a symbolic representation language. The underlying design model is function based and employs a technique of divergent function to form mapping to produce physical embodiments of the proposed functional solutions.
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Balazs, Marton E. "Design Simplification by Analogical Reasoning." Digital WPI, 2000. https://digitalcommons.wpi.edu/etd-dissertations/60.
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Ever since artifacts have been produced, improving them has been a common human activity. Improving an artifact refers to modifying it such that it will be either easier to produce, or easier to use, or easier to fix, or easier to maintain, and so on. In all of these cases, "easier" means fewer resources are required for those processes. While 'resources' is a general measure, which can ultimately be expressed by some measure of cost (such as time or money), we believe that at the core of many improvements is the notion of reduction of complexity, or in other words, simplification. This talk presents our research on performing design simplification using analogical reasoning. We first define the simplification problem as the problem of reducing the complexity of an artefact from a given point of view. We propose that a point of view from which the complexity of an artefact can be measured consists of a context, an aspect and a measure. Next, we describe an approach to solving simplification problems by goal-directed analogical reasoning, as our implementation of this approach. Finally, we present some experimental results obtained with the system. The research presented in this dissertation is significant as it focuses on the intersection of a number of important, active research areas - analogical reasoning, functional representation, functional reasoning, simplification, and the general area of AI in Design.
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Ma, Yuming. "Qualitative geometric reasoning for thermal design evaluation of die casting dies /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488203552780212.
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Wolmarans, Nicolette Sarah. "The nature of professional reasoning: An analysis of design in the engineering curriculum." Doctoral thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/25654.
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Access to the practice of a profession is controlled by formal education structures. These structures are intended to induct future professionals into the specialised knowledge, skills and values that underpin that profession. Yet, despite meeting the academic requirements of a professional degree, many graduates struggle to 'apply' specialised knowledge when confronted with problems in professional practice. This is a study of the nature of knowledge as it is mobilised in professional reasoning. The case studied was located in engineering education, because knowledge relations tend to be more explicit in education than in practice. The data were collected from design projects located in two differently structured curricula in civil and mechanical engineering curricula. The research questions that directed the study were: 1. What is the nature of the reasoning involved when specialised disciplinary knowledge is recruited to develop specific, often concrete, artefacts? 2. What is the logic of progression in a trajectory of engineering design tasks in terms of the relation between knowledge and artefact? The study draws on two intellectual fields: models of professional reasoning and design thinking on one hand, and social realism in the sociology of education on the other. These traditions take different positions on professional reasoning. Design thinking is concerned with contextual detail and case precedent, while social realism in the sociology of education is concerned with conceptual coherence within knowledge specialisations and the power of generalisation. Both offer important insights into professional reasoning, but alone neither is adequate. The analysis was done using the semantics dimension of Legitimation Code Theory, LCT (Semantics), which required an adaptation in order to fully describe the significance of contextual detail evident in the data. The findings showed that specialised knowledge and contextual detail interact far more dialectically than previously assumed. This provides empirical insights for structuring curricula. Students can be more intentionally inducted into recontextualising academic knowledge for the purpose of solving contextually emergent problems. Theoretically the study contributes to the social realist school within the sociology of education by revealing its blindness to contextual detail and consequently offering a fuller understanding of the nature of regions. This has implications for other studies of professional knowledge and education.
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Ouyang, Jun. "Case-based reasoning for the creative design of electromagnetic devices." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=107659.
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Design is concerned with the question of how to construct an artifact or system to meet the desired specification and is normally categorized as either routine, non-routine or creative. Up until now, the study of knowledge-based design has concentrated on routine or non-routine design. In order to explore creativity in design, a new computational model based on the combination of case based reasoning (an approach to solving new problems based on the solutions of similar past problems) and soft computing techniques (such as machine learning, data mining and optimization), is proposed in this thesis. The new model is able to deal with the four challenging issues related to creativity: generation of a design prototype from incomplete requirements, judgment and improvement of system performance given a sparse initial case base library, extraction of pivotal features from a given feature space, adaptation of retrieved previous solutions to similar problems for deriving a new innovative solution to a given design task. The core principle underlying this model is that different knowledge from various level cases can be explicitly explored and integrated into a practical design process.In addition, in order to demonstrate the practical significance of our proposed computational model, a design system for electromagnetic devices which is capable of deriving a new design prototype from a real-world device case base with high dimensionality has been developed.La conception en général s'intéresse à savoir comment construire un objet ou un système à partir d'une spécification et est normalement classée soit comme routine, non-routine ou créative. Jusqu'à présent, l'étude de la conception basée sur la connaissance est largement concentrée sur la conception routine et non routine. Afin d'explorer la classe créative de la conception, un nouveau modèle computationnel basé sur la combinaison de raisonnement par cas en fonction (une approche pour résoudre de nouveaux problèmes avec l'aide d'une base de solution à des problèmes similaires) et des techniques du «soft computing» (tels que l'apprentissage automatique, l'exploration de données et d'optimisation) est proposé dans cette thèse. Ce nouveau modèle est capable de traiter quatre difficultés associées à la conception créative: la génération d'un prototype à partir d'une spécification incomplète, le raisonnement et l'amélioration de la performance d'un système avec un manqué d'exemple dans la bibliothèque de base de cas, l'extraction de caractéristiques clés d'un espace central de caractéristique donnée, l'adaptation de solutions trouvées à des problèmes similaires pour proposer une nouvelle solution innovante pour une tâche de conception donnée. Le principe de base au sein de ce modèle est que la connaissance de différents cas à des différents niveaux peuvent être précisément exploré et intégré dans un processus de conception pratique. En outre, afin de démontrer l'importance pratique de notre modèle computationnel proposé, un système pour la conception des dispositifs électromagnétiques capable de générer un prototype de conception nouveau à partir d'une base de cas réel à haute dimensionnalité a été développé.
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Marshall, Carolynne Therese. "The design and implementation of comparative reasoning tools for fermentations." Thesis, University College London (University of London), 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389624.
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Ulrich, Karl T. "Computation and Pre-Parametric Design." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/6845.
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My work is broadly concerned with the question "How can designs bessynthesized computationally?" The project deals primarily with mechanical devices and focuses on pre-parametric design: design at the level of detail of a blackboard sketch rather than at the level of detail of an engineering drawing. I explore the project ideas in the domain of single-input single-output dynamic systems, like pressure gauges, accelerometers, and pneumatic cylinders. The problem solution consists of two steps: 1) generate a schematic description of the device in terms of idealized functional elements, and then 2) from the schematic description generate a physical description.
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Nguyen, Viet Ha. "Design Space Exploration of the Quality of Service for Stream Reasoning Applications." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79584.
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An Unmanned Aerial Vehicle (UAV) is often an aircraft with no crew that can fly independently by a preprogrammed plan, or by remote control. Several UAV applications, like autonomously surveillance and traffic monitoring, are real-time applications. Hence tasks in these applications must complete within specied deadlines. Real Time Calculus (RTC) is a formal framework for reasoning about realtime systems and in particular streaming applications. RTC has its mathematical roots in Network Calculus. It supports timing analysis, estimating loads and predicting memory requirements. In this thesis, a formal analysis of real-time stream reasoning for UAV applications is conducted. The performance analysis is based on RTC using an abstract performance model of the streaming reasoning on board a UAV. In this study, we consider two dierent scheduling methods, first-in-first-out (FIFO) and fixed priority (FP). In the FIFO scheduling model the priorities of the tasks are assigned and processed based on the order of their arrival, while in the FP scheduling model the priorities of the tasks are preassigned. The Quality of Service (QoS) of these applications is calculated and analyzed in a proposed design space exploration framework. QoS can be defined dierently depending on what field we are studying and in this thesis we are interested in studying the delays of the real-time stream reasoning applications when (i) we fix jitters and number of instances and vary the periods, (ii) we fix the periods and number of instances and vary the jitters, and (iii) we fix the periods, jitters and vary the number of instances.
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Goucher-Lambert, Kosa Kendall. "Investigating Decision Making in Engineering Design Through Complementary Behavioral and Cognitive Neuroimaging Experiments." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/910.
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Decision-making is a fundamental process of human thinking and behavior. In engineering design, decision-making is studied from two different points of view: users and designers. User focused design studies tend to investigate ways to better inform the design process through the elicitation of preferences or information. Designer studies are broad in nature, but usually attempt to illustrate and understand some aspect of designer behavior, such as ideation, fixation, or collaboration. Despite their power, both qualitative and quantitative research methods are ultimately limited by the fact that they rely on direct input from the research participants themselves. This can be problematic, as individuals may not be able to accurately represent what they are truly thinking, feeling, or desiring at the time of the decision. A fundamental goal in both user- and designer-focused studies is to understand how the mind works while individuals are making decisions. This dissertation addresses these issues through the use of complementary behavioral and neuroimaging experiments, uncovering insights into how the mind processes design-related decision-making and the implications of those processes. To examine user decision-making, a visual conjoint analysis (preference modeling approach) was utilized for sustainable preference judgments. Here, a novel preference-modeling framework was employed, allowing for the real time calculation of dependent environmental impact metrics during individual choice decisions. However, in difficult moral and emotional decision-making scenarios, such as those involving sustainability, traditional methods of uncovering user preferences have proven to be inconclusive. To overcome these shortcomings, a neuroimaging approach was used. Specifically, study participants completed preference judgments for sustainable products inside of a functional magnetic resonance imaging (fMRI) scanner. Results indicated that theory of mind and moral reasoning processes occur during product evaluations involving sustainability. Designer decision-making was explored using an analogical reasoning and concept development experiment. First, a crowdsourcing method was used to obtain meaningful analogical stimuli, which were validated using a behavioral experiment. Following this, fMRI was used to uncover the neural mechanisms associated with analogical reasoning in design. Results demonstrated that analogies generally benefit designers; particularly after significant time on idea generation has taken place. Neuroimaging data helped to show two distinct brain activation networks based upon reasoning with and without analogies. We term these fixation driven external search and analogically driven internal search.. Fixation driven external search shows designers during impasse, as increased activation in brain regions associated with visual processing causes them to direct attention outward in search of inspiration. Conversely, during analogically driven internal search, significant areas of activation are observed in bilateral temporal and left parietal regions of the brain. These brain regions are significant, as prior research has linked them to semantic word-processing, directing attention to memory retrieval, and insight during problem solving. It is during analogically driven internal search that brain activity shows the most effective periods of ideation by participants.
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Vo, Quang Vinh 1959. "Case-based reasoning approach for the non-routine design of electromagnetic devices." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36847.
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The ability to suggest a means of solving a novel problem through the remembering and recalling of previous experiences is a tenet of the Case-based reasoning (CBR) paradigm. This approach is well suited for the engineering design domain since an effective and efficient solution can often be synthesized based upon previous designs rather than starting from scratch.Although significant advances have been made, this technique suffers disadvantages when dealing with complex design problems and novel situations. This thesis aims at automating CBR's adaptation mechanism, that up until now had yet to be fully explored, as a way for solving the non-routine design of complex structures such as electromagnetic devices.
We propose a system architecture that combines the strength of multiple reasoning paradigms built on top of CBR. It flexibly uses different knowledge sources, fully exploits its experiences, and provides a dynamic environment where different alternatives can be examined under different abstraction views. In addition, such a framework can be used to broaden the spectrum of design problem solving from routine and non-routine to future creative design.
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Rong, Ruowen. "Toward the paradigm of a knowledge based electromagnetic design system : a case based reasoning approach." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29120.
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Human designers use previous designs extensively in solving new design problems and Case-Based Reasoning (CBR) provides a knowledge representation paradigm which attempts to model such process. In this thesis we present a case-based approach to solving design problems by retrieving similar previous designs and adapting them to meet the new problem. A system called CBEDS (Case-Based Electromagnetic Design System) has been developed.The thesis describes the knowledge organization for a case database which represents the semantic content of electromagnetic device designs and how to use feature extraction methods to reduce the indexing dimension of designs. A method based on interval constraint propagation has been developed to determine the valid range of design parameters. We argue that the adaptation of retrieved design cases requires an understanding of how the parameters of the device behave to accomplish the device's function. The thesis presents a case adaptation method which is based on algebraic constraint propagation and a primitive type of qualitative mathematical reasoning system which can predict how a change in one design parameter would affect the others. The advantage of our approach in building a knowledge based systems is the ease of adding new knowledge. Once a new design problem has been solved, it can be added to the case library updating the knowledge base. Such a system can be adaptive and will incrementally improve itself over time.
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Hamraz, Bahram. "Engineering change modelling using a function-behaviour-structure scheme." Thesis, University of Cambridge, 2013. https://www.repository.cam.ac.uk/handle/1810/245074.
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Engineering changes are unavoidable and occur throughout the lifecycle of products. Due to the high interconnectivity of engineering products, a single change to one component usually has knock-on effects on other components causing further changes. This change propagation significantly affects the success of a product in the market by increasing development cost and time-to-market. As such engineering change management is essential to companies, but it is a complex task for managers and researchers alike. To address this challenge, the thesis at hand investigates the state-of-the-art of research in engineering change management and develops a method to support engineering change propagation analysis, termed FBS Linkage. This method integrates functional reasoning with change prediction. A product is modelled as a network of its functional, behavioural, and structural attributes. Change propagation is then described as spread between the elements along the links of this network. The FBS Linkage concept is designed based on a comprehensive set of requirements derived from both the literature and industry practices as well as a comparative assessment of existing change methods and functional reasoning schemes. A step-by-step technique of building and using an FBS Linkage model is demonstrated. The method’s potential benefits are discussed. Finally, the application of the method to two industrial case studies involving a diesel engine and a scanning electron microscope is presented. The method evaluation indicates that the benefits of the method outweigh its application effort and pinpoints areas for further refinement.
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Milette, Greg P. "Analogical matching using device-centric and environment-centric representations of function." Link to electronic thesis, 2006. http://www.wpi.edu/Pubs/ETD/Available/etd-050406-145255/.
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Thesis (M.S.)--Worcester Polytechnic Institute.Keywords: Analogy, Design, Functional Modeling, Functional Reasoning, Knowledge Representation, Repertory Grid, SME, Structure Mapping Engine, AI in design. Includes bibliographical references (p.106).
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Soibelman, Lucio 1961. "The exploration of an integrated representation for the conceptual phase of structural design for tall buildings through distributed multi-reasoning algorithms." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/10134.
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Farhan, Uday Hameed. "An integrated system to design machine layouts for modular special purpose machines." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2018. https://ro.ecu.edu.au/theses/2081.
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This thesis introduces the development of an integrated system for the design of layouts for special purpose machines (SPMs). SPMs are capable of performing several machining operations (such as drilling, milling, and tapping) at the same time. They consist of elements that can be arranged in different layouts. Whilst this is a unique feature that makes SPMs modular, a high level of knowledge and experience is required to rearrange the SPM elements in different configurations, and also to select appropriate SPM elements when product demand changes and new layouts are required. In this research, an integrated system for SPM layout design was developed by considering the following components: an expert system tool, an assembly modelling approach for SPM layouts, an artificial intelligence tool, and a CAD design environment. SolidWorks was used as the 3D CAD environment. VisiRule was used as the expert system tool to make decisions about the selection of SPM elements. An assembly modelling approach was developed with an SPM database using a linked list structure and assembly relationships graph. A case-based reasoning (CBR) approach was developed and applied to automate the selection of SPM layouts. These components were integrated using application programing interface (API) features and Visual Basic programming language. The outcome of the application of the novel approach that was developed in this thesis is reducing the steps for the assembly process of the SPM elements and reducing the time for designing SPM layouts. As a result, only one step is required to assemble any two SPM elements and the time for the selection process of SPM layouts is reduced by approximately 75% compared to the traditional processes. The integrated system developed in this thesis will help engineers in design and manufacturing fields to design SPM layouts in a more time-effective manner.
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Zhang, Pei. "Experience capitalization to support inventive design studies." Thesis, Strasbourg, 2019. http://www.theses.fr/2019STRAD002.
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L'expérience joue un rôle crucial dans la résolution de problèmes. Dans les activités inventives de résolution de problèmes, l’expérience est composée de deux parties : l’une est le savoir-faire spécifique acquis dans la pratique de la résolution de problèmes passés, l’autre est la connaissance supplémentaire provenant d’autres domaines dans lesquels la résolution de problèmes a déjà été acquise et est utilisée pour résoudre. Cette thèse propose une nouvelle façon de résoudre des problèmes d’invention en capitalisant l’expérience tirée d’activités de résolution de problèmes antérieures. La première contribution est basée sur l'utilisation du raisonnement à partir de cas pour collecter et accéder rapidement aux expériences. La deuxième contribution consiste à proposer une nouvelle façon de classer les effets physiques basé sur l'utilisation de Wikipédia. Pour mettre en œuvre l'approche proposée dans la thèse, une application Web appelée CBRID (Raisonnement à partir de cas pour la Conception Inventive) est développée. Par ailleurs, nous avons mené une série d’expériences pour évaluer notre approche en termes d’efficacité et d’efficienceExperience plays a crucial role in the resolution of problems. When in inventive problem solving activities, experience is composed of two parts: one is the specific know-how knowledge acquired in the practice of solving previous problems, the other is the additional knowledge from other domains where the problem solver is previously acquired and is used for problem solving. This thesis aims at proposing a new way to solve new inventive problems by capitalizing experience obtained from past problem solving activities. The first contribution is based on the use of the case-based reasoning for collecting and rapidly accessing the experiences. The second contribution consists in proposing a new way to classify the physical effects using Wikipedia. To implement the proposed approach, a web-based application called CBRID (Case-based reasoning for Inventive Design) is developed. A particular case of ''cloth hanger'' is studied to illustrate the problem solving process based on the proposed approach. In addition to that, we conducted a set of experiments to evaluate our approach in terms of effectiveness and efficiency
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Abeille, Joël. "Vers un couplage des processus de conception de systèmes et de planification de projets : formalisation de connaissances méthodologiques et de connaissances métier." Thesis, Toulouse, INPT, 2011. http://www.theses.fr/2011INPT0051/document.
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Les travaux présentés dans cette thèse s'inscrivent dans une problématique d'aide à la conception de systèmes, à la planification de leur projet de développement et à leur couplage. L'aide à la conception et à la planification repose sur la formalisation de deux grands types de connaissances : les connaissances méthodologiques utilisables quel que soit le projet de conception et, les connaissances métier spécifiques à un type de conception et/ou de planification donné. Le premier chapitre de la thèse propose un état de l'art concernant les travaux sur le couplage des processus de conception de systèmes et de planification des projets associés et expose la problématique de nos travaux. Deux partie traitent ensuite, d'une part, des connaissances méthodologiques et, d'autre part, des connaissances métier. La première partie expose trois types de couplages méthodologiques. Le couplage structurel propose de formaliser les entités de conception et de planification puis permet leur création et leur association. Le couplage informationnel définit les attributs de faisabilité et de vérification pour ces entités et synchronise les états de ces dernières vis-à-vis de ces attributs. Enfin, le couplage décisionnel consiste à proposer, dans un même espace et sous forme de tableau de bord, les informations nécessaires et suffisantes à la prise de décision par les acteurs du projet de conception. La seconde partie propose de formaliser, d'exploiter et de capitaliser la connaissance métier. Après avoir formalisé ces connaissances sous forme d'une ontologie de concepts, deux mécanismes sont exploités : un mécanisme de réutilisation de cas permettant de réutiliser, en les adaptant, les projets de conception passés et un mécanisme de propagation de contraintes permettant de propager des décisions de la conception vers la planification et réciproquementThe work presented in this thesis deals with aiding system design, development project planning and its coupling. Aiding design and planning is based on the formalization of two kind of knowledge: methodological knowledge that can be used in all kind of design projects and business knowledge that are dedicated to a particular kind of design and/or planning. The first chapter presents a state of the art about coupling system design process and project planning process and gives the problem of our work. Then, two parts deal with design and planning coupling thanks to, on one hand, methodological knowledge, and on the other hand, business knowledge. The first part presents three types of methodological coupling. The structural coupling defines design and planning entities and permits its simultaneous creation of and its association. The informational coupling defines feasibility and verification attributes for these entities and synchronizes its attribute states. Finally, the decisional coupling consists in proposing, in a single dashboard, the necessary and sufficient information to make a decision by the design project actors. The second part proposes to formalize, to exploit and to capitalize business knowledge. This knowledge is formalized with ontology of concepts. Then, two mechanisms are exploited: a case reuse mechanism that permits to reuse and adapt former design projects and a constraint propagation mechanism that allows propagating decisions from design to planning and reciprocally
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Navinchandra, Dundee J. "Exploring innovative designs by relaxing criteria and reasoning from precedent knowledge." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14674.
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Shah, Raza. "Property inference decision-making and decision switching of undergraduate engineers : implications for ideational diversity & fluency through movements in a Cartesian concept design space." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/278700.
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Design fixation is a phenomenon experienced by professional designers and engineering design students that stifles creativity and innovation through discouraging ideational productivity, fluency and diversity. During the design idea and concept generation phase of the design process, a reliance on perceptual surface feature similarities between design artefacts increases the likelihood of design fixation leading to design duplication. Psychologists, educators and designers have become increasingly interested in creative idea generation processes that encourage innovation and entrepreneurial outcomes. However, there is a notable lack of collaborative research between psychology, education and engineering design particularly on inductive reasoning of undergraduate engineering students in higher education. The data gathered and analysed for this study provides an insight into property inference decision-making preferences and decision switching (SWITCH) patterns of engineering undergraduates under similarity-based inductive judgements [SIM] and category-based inductive judgements [CAT]. For this psychology experiment, property induction tasks were devised using abstract shapes in a triad configuration. Participants (N = 180), on an undergraduate engineering programme in London, observed a triad of shapes with a target shape more similar-looking to one of two given shapes. Factors manipulated for this experiment included category alignment, category group, property type and target shape. Despite the cognitive development and maturation stage of undergraduate engineers (adults) in higher education, this study identified similarity-based inductive judgements [SIM] to play a significant role during inductive reasoning relative to the strength of category-based inductive judgements [CAT]. In addition to revealing the property inference decision-making preferences of a sample of undergraduate engineers (N = 180), two types of switch classification and two types of non-switch classification (SWITCH) were found and named SIM_NCC, SIM-Salient, Reverse_CAT and CAT_Switching. These different classifications for property inference switching and non-switching presented a more complex pattern of decision-making driven by the relative strength between similarity-based inductive judgements [SIM] and category-based inductive judgements [CAT]. The conditions that encouraged CAT_Switching is of particular interest to design because it corresponds to inference decision switching that affirms the sharing of properties between dissimilar-looking shapes designated as category members, i.e., in a conflicting category alignment condition (CoC). For CAT_Switching, this study found a significant interaction between a particular set of conditions that significantly increased the likelihood of property inference decisions switching to affirm the sharing of properties between dissimilar-looking shapes. Stimuli conditions that combined a conflicting category alignment condition (where dissimilar-looking shapes belong to the same category) with category specificity, a causal property and a target shape with merged (or blended) perceptual surface features significantly increased the likelihood of a property inference decision switching. CAT_Switching has important implications for greater ideational productivity, fluency and diversity to discourage design fixation within the conceptual design space. CAT_Switching conditions could encourage more creative design transformations with alternative design functions through inductive inferences that generalise between dissimilar artefact designs. The findings from this study led to proposing a Cartesian view of the concept design space to represent the possibilities for greater movements through flexible and expanding category boundaries to encourage conceptual combinations, greater ideational fluency and greater ideational diversity within a configuration design space. This study has also created a platform for further research into property inference decision-making, ideational diversity and category boundary flexibility under stimuli conditions that encourage designers and design students to make inductive generalisations between dissimilar domains of knowledge through a greater emphasis on causal relations and semantic networks.
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Cassier, Jean-Laurent. "Argumentation et conception collaborative de produits industriels." Phd thesis, Grenoble INPG, 2010. http://tel.archives-ouvertes.fr/tel-00557483.
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Notre travail caractérise le processus argumentatif par lequel des concepteurs, porteurs d'expertises différentes, interagissent pour élaborer une solution satisfaisant les contraintes de chacun d'entre eux. Dans une première étude de cas, une analyse descriptive menée conjointement par des chercheurs en linguistique, en sciences cognitives et en mécanique, nous permet de dresser une typologie des interactions collaboratives de conception. Nous identifions un ensemble de mécanismes interactionnels, montrant la prédominance de certaines interactions ou encore la similarité des profils des concepteurs. Nous construisons ensuite des graphes argumentatifs qui nous aident à identifier des patterns d'interactions argumentatives déjà connus. L'analyse des graphes montre également l'importance du critère d'analogie dans l'activité de conception. Pour notre seconde étude de cas, nous concevons un outil d'assistance à la conception qui doit aider les concepteurs à construire des analogies collectivement. L'outil implémenté n'est pas intégré aux pratiques des concepteurs, ce qui nous conduit à nous interroger sur les conditions de sa mise en place.
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Zanni, Maria Angeliki. "Communication of sustainability information and assessment within BIM-enabled collaborative environment." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/24680.
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Sustainable performance of buildings has become a major concern among construction industry professionals. However, sustainability considerations are often treated as an add-on to building design, following ad hoc processes for their implementation. As a result, the most common problem to achieve a sustainable building outcome is the absence of the right information at the right time to make critical decisions. For design team members to appreciate the requirements of multidisciplinary collaboration, there is a need for transparency and a shared understanding of the process. The aim of this study is to investigate, model, and facilitate the early stages of Building Information Modelling (BIM) enabled Sustainable Building Design (SBD) by formalising the ad hoc working relationships of the best practices in order to standardise the optimal collaboration workflows. Thus, this research strives to improve BIM maturity level for SBD, assisting in the transition from ad hoc to defined , and then, to managed . For this purpose, this study has adopted an abductive research approach (iterative process of induction and deduction) for theory building and testing. Four (4) stages of data collection have been conducted, which have resulted in a total of 32 semi-structured interviews with industry experts from 17 organisations. Fourteen (14) best practice case studies have been identified, and 20 incidents narratives have been collected applying the Critical Decision Method (CMD) to examine roles and responsibilities, resources, information exchanges, interdependencies, timing and sequence of events, and critical decisions. As a result, the research has classified the critical components of SBD into a framework utilising content and thematic analyses. These have included the definition of roles and competencies that are essential for SBD along with the existing opportunities, challenges, and limitations. Then, Schedules of Services for SBD have been developed for the following stages of the RIBA Plan of Work 2013: stage 0 (Strategic Definition), stage 1 (Preparation and Brief), and stage 2 (Concept Design). The abovementioned SBD components have been coordinated explicitly into a systematic process, which follows Concurrent Engineering (CE) principles utilising Integrated DEFinition (IDEF) structured diagramming techniques (IDEF0 and IDEF3). The results have identified the key players roles and responsibilities, tasks (BIM Uses), BIM-based deliverables, and critical decision points for SBD. Furthermore, Green BIM Box (GBB) workflow management prototype tool has been developed to analyse communication and delivery of BIM-enabled SBD in a centralised system (Common Data Environment, CDE). GBB s system architecture for SBD process automation is demonstrated through Use Case Scenarios utilising the OMG UML (Object Management Group s Unified Modelling Language) notation. The proposed solution facilitates the implementation of BIM, Information Communication Technology (ICT), and Building Performance Analysis (BPA) software to realise the benefits of combining distributed teams expertise holistically into a common process. Finally, the research outcomes have been validated through academic and industrial reviews that have led to the refinement of the IDEF process model and framework. It has been found that collaborative patterns are repeatable for a variety of different non-domestic building types such as education, healthcare, and offices. Therefore, the research findings support the idea that a detailed process, which follows specified communication patterns, can assist in achieving sustainability targets efficiently in terms of time, cost, and effort.
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Tang, Yuan-bin, and 唐遠彬. "Obtaining Engineering Design Innovations by A Patent-related and Case-based Reasoning Approach." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/42617472107684112032.
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碩士國立中山大學
機械與機電工程學系研究所
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The procedure for developing a new product, in general, is as follows. First, the design engineer must have a thorough understanding regarding the encountered problem. And, he must produce some design concepts based on the perceived requirements. Finally, some solutions are then achieved according to the prescribed design concepts. Unfortunately, few researchers have been able to explain, in a specific rather than abstract manner, the process of generating pertinent design concepts. However, this process has to be a very critical link in the chain. Without obtaining a good design concept the entire design procedure will fall, not to mention to find a suitable solution. In this research we use an interesting analogy between the design procedure and the well-familiarized Sun/Water-cycle system, to concretely describe the task of inspiration of innovative concepts particularly in engineering design. The use of this analogy, we believe, will guide engineers to more effectively and more efficiently go through the stages of conceptual design. Consequently, the entire product development time can be reduced.
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Jensen, David Charles. "Enabling safety-informed design decision making through simulation, reasoning and analysis." Thesis, 2012. http://hdl.handle.net/1957/29217.
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While many organizations claim to "put safety first," safety is rarely considered early in the design process when system-level architectural decisions are made. Instead, system design follows an abstraction-to-detail process to first meet functional and then performance requirements. Following this process, safety assurance occurs in the later stages of design through a rigorous expert review process. The significant cost of safety-based redesign and the growing complexity of engineered systems motivates a need for early design-stage fault analysis. This research presents a novel method of including safety into the model-based design and analysis of complex systems using low-fidelity behavior simulations. Specifically, this research demonstrates the adaption of the functional design process to explicitly include the system property of safety in the system representation. Next, early design fault analysis is extended to connect component failure behavior to system-level hazards. Finally, this research develops three methods of results clustering to provide different evaluation metrics of the system design. In summary, this research demonstrates a framework for incorporating safety into early design decision making. This research addresses safety and failure in the design of complex systems incorporating diverse technology domains as found in energy, transportation, and aerospace systems.Graduation date: 2012
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Kaur, Navpreet. "Modelling and Reasoning with Software Product Lines with Design Choices." Thèse, 2019. http://hdl.handle.net/1866/22129.
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Mir, S. "Heuristic reasoning for an automatic commonsense understanding of logic electronic design specifications (English only)." Phd thesis, 1993. http://tel.archives-ouvertes.fr/tel-00010456.
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Adhikary, Nepal. "Geometric Reasoning with Mesh-based Shape Representation in Product Development." Thesis, 2013. http://etd.iisc.ernet.in/handle/2005/2707.
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Triangle meshes have become an increasingly popular shape representation. Given the ease of standardization it allows and the proliferation of devices (scanners, range images ) that capture and output shape information as meshes, this representation is now used in applications such as virtual reality, medical imaging, rapid prototyping, digital art and entertainment, simulation and analysis, product design and development. In product development manipulation of mesh models is required in applications such as visualization, analysis, simulation and rapid prototyping. The nature of manipulation of the mesh includes annotation, interactive viewing, slicing, re-meshing, mesh optimization, mesh segmentation, simplification and editing. Of these editing has received the least attention. Mesh model often requires editing either locally or globally based on the application. With the increased use of meshes it is desirable to have formal reasoning tools that enable manipulation of mesh models in product development.
The mesh model may contain artifacts like self-intersection, overlapping triangles, inconsistent normal’s of triangles and gaps or holes with or without islands. It is necessary to repair the mesh before further processing the mesh model. An automatic algorithm is proposed to repair and fill arbitrary holes while maintaining curvature continuity across the boundaries of the hole. The algorithm uses slices across the hole to first identify curves that bridge the hole. These curves are then used to find the surface patch that would fill the hole. The proposed algorithm works for arbitrary holes in any mesh model irrespective of the type of underlying surface and is able to preserve features in the mesh model that are missing in the input information.
Since editing during product development is mostly feature based, an automatic algorithm to recognize shape features by directly clustering the triangles constituting a feature in a mesh model is proposed. Shape features addressed in the thesis are volumetric features that are associated with either addition or removal of a finite volume. The algorithm involves two steps – isolating features in 2D slices followed by a 3D traversal to cluster all the triangles in the feature.
Editing a mesh model mainly implies editing local volumetric features in that model. An automatic algorithm is proposed for parametric editing of volumetric features in the mesh model. The proposed algorithm eliminates the need of original CAD model while manipulating any volumetric feature in the mesh model based on feature parameters.
An automatic algorithm to manipulate global shape parameters of the object using the mesh model is developed. Global shape parameters include thickness, drafts and axes of symmetry. As the mesh models do not explicitly carry this information global editing of mesh models (other than for visualization) has not been attempted thus far. This thesis proposes the use of mid-surface to identify and manipulate global shape parameters for a class of objects that are classified as thin walled objects. Mid-curves are first identified on slices of the part and then the mid-surface is obtained from these mid-curves.
Results of implementation are presented and discussed along with the scope for future work.
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Chemboli, Srinivas. "Omnispective analysis and reasoning: an epistemic approach to scientific workflows." Phd thesis, 2012. http://hdl.handle.net/1885/10556.
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This thesis presents the conceptualization, formulation, development and demonstration of Omnispective Analysis and Reasoning (OAR), an epistemic framework for managing intellectual concerns in scientific workflows. Although scientific workflows are extensively used to support the management of experimental and computational research, intellectual concerns are not adequately handled in current practice owing to the focus on low-level implementation details, limited context support, issues in developing shared semantics across disciplines and lack of support for verification and validation of the underlying science of the workflow. The management of intellectual concerns in scientific workflows can be improved by developing a framework for providing a layer of abstraction to lift focus from low-level implementation details, adding context as a workflow parameter, introducing localized ontologies and abstracting and mapping intellectual concerns in the research-domain to workflow specification and execution semantics. Following an examination of typical definitions of scientific workflow offered in literature, the Scientific Method is applied to develop an enhanced definition of a scientific workflow. This definition, which extends the scope of ordered analysis and investigation to a generic problem scenario, is utilized in the OAR framework. The design of OAR is modular like the Domain of Science Model (DoSM). The structure and working of OAR incorporate the evolving nature of science, hierarchy of conceptualization, omnispection, and the logical processes of analysis, reasoning and abstraction. These form the Foundation and Theory of OAR. Abstracting concerns in terms of unit knowledge entities (ukes) and groups of ukes (recipes), use of context to identify relation between recipes, the management of recipes in shelves, and the processes of concern refinement and context refinement constitute the Methodology.
A comprehensive and simple example of the application of OAR to the abstraction, analysis, formulation and orchestration of a scientific workflow at different levels of granularity is provided by applying it to the problem of origami paper folding. The use of OAR in capturing the rationale of design decisions and mapping them to desired outcomes is demonstrated by applying OAR for contextualizing course design. Another example illustrates the use of OAR in the analysis, understanding and management of complex systems. Localized ontologies enable the exposure of side-effects and emergent behavior in large-scale systems due to the choice of any particular solution specification. These examples constitute a first step in building the Applications block of OAR. While OAR may be manually applied even to large-scale problems, it is expedient to avail of tool support. Soma - a simple and illustrative tool prototype is developed to indicate directions for a reference tool implementation.
The thesis concludes with a consideration of ideas for future work. The contribution in this thesis corresponds to an instance of the DoSM for scientific workflow management. The OAR framework has great potential for further development as a well-formed Science of Workflows.
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"Cascading Evolutionary Morphological Charts for Holistic Ideation Framework." Master's thesis, 2012. http://hdl.handle.net/2286/R.I.15811.
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abstract: The main objective of this project was to create a framework for holistic ideation and investigate the technical issues involved in its implementation. In previous research, logical ideation methods were explored, ideation states were identified, and tentative set of ideation blocks with strategies were incorporated in an interactive software testbed. As a subsequent study, in this research, intuitive methods and their strategies were investigated and characterized, a framework to organize the components of ideation (both logical and intuitive) was devised, and different ideation methods were implemented based on the framework. One of the major contributions of this research is the method by which information passes between different ideation methods. Another important part of the research is that a framework to organize ideas found by different methods. The intuitive ideation strategies added to the holistic test bed are reframing, restructuring, random connection, force connection, and analogical reasoning. A computer tool facilitating holistic ideation was developed. This framework can also be used as a research tool to collect large amounts of data from designers about their choice of ideation strategies, and assessment of their effectiveness.Dissertation/Thesis
M.S. Mechanical Engineering 2012