78 research outputs found

    Design, modelling, simulation and integration of cyber physical systems: Methods and applications

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    The main drivers for the development and evolution of Cyber Physical Systems (CPS) are the reduction of development costs and time along with the enhancement of the designed products. The aim of this survey paper is to provide an overview of different types of system and the associated transition process from mechatronics to CPS and cloud-based (IoT) systems. It will further consider the requirement that methodologies for CPS-design should be part of a multi-disciplinary development process within which designers should focus not only on the separate physical and computational components, but also on their integration and interaction. Challenges related to CPS-design are therefore considered in the paper from the perspectives of the physical processes, computation and integration respectively. Illustrative case studies are selected from different system levels starting with the description of the overlaying concept of Cyber Physical Production Systems (CPPSs). The analysis and evaluation of the specific properties of a sub-system using a condition monitoring system, important for the maintenance purposes, is then given for a wind turbine

    Digital Twin: towards the integration between System Design and RAMS assessment through the Model–Based Systems Engineering

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    The design of a safety-critical system requires an effective prediction of its reliability, availability, maintainability and safety (RAMS). Anticipating the RAMS analysis at the concept design helps the designer in the trade-off of the system architecture and technologies, reduces cost of product development and the time to market. This action is rather difficult, because the RAMS analysis deals with the hazard assessment of system components, whose abstraction at concept level is never simple. Therefore, to integrate the system design and RAMS assessment, a clear path to follow is required. The paper investigates how the Model Based Systems Engineering (MBSE) supports this task and drives the system reliability allocation, through the functional and dysfunctional analyses. The implementation of the proposed approach needs to set up the tool chain. In the industrial context it must be compatible with practices, standards and tools currently used in product development. Defining a suitable process of integration of tools used for the System Design and the Safety Engineering is a need of industry. Therefore, this task is also discussed, in this paper, dealing with some examples of industrial test case

    Software Systems Engineering for Cyber Physical Production Systems

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    This project solves the problem of easy adaption and usage of CPPS by small scale industries, With this project it has been tried to develop a methodology of requirement engineering for CPPS system and finally the whole system. We have developed the approach right from requirement engineering to mapping into IEC61499 function blocks and then to deployment to a physical devices. This work can be a good foundation and support for scientific communities or industialist to easily implement requirement engineering of a small scale systems for CPPS and thus build a 21st century production system with this and reap its enormous benefits.Cyber physical production systems are the future of production systems not only in europe but in the entire world. It brings with itself huge benefits and popularly attributes to Industry 4.0 also. These are automated systems where physical systems are monitored and controlled by computer based algorithms in real time. Traditional systems have certain disadvantages and are limited in terms of hours of operation as it is governed by manpowers and the type of products that can be produced without making much changes in the production configuration and the speed of production of products. In europe, a lot of research is going on, particularly in germany and in the United states too for upgrading major physical systems and manufacturing systems. Some examples of such systems are smart factory, smart grid, autonomous automobile systems, automatic pilot avionics, robotics systems etc. The main goal of this thesis is to define a set of methodologies for easing the process of implementation of the CPPS(cyber physical production systems) system on small and medium industries so that the adoption rate for such industries can be high. There is no methodology yet particularly for CPPS systems for small and medium industries, although we have methodologies in place for large industries. In order to do so, first study was done for challenges in developing a requirement engineering process in section 3 and how it is different from a typical software system. An approach has been developed based on existing information available on large systems and CPPS and some software engineering frameworks like MODAF and TOGAF. A proposal for the process and some diagrams and tools has been made in section 4. To validate the proposed approach we have taken a synthetic test case of a pizza production system and implemented all the approaches to transform it into a cyber physical production system right from requirement and UML diagrams to the final function block approach. With this set of approaches,there is now a basis for software development methodology for small and medium industries particularly. With these approaches the adoption rate can be really high for such industries bringing out traditional industries more to the 21st century forefront

    A Review on Application of Model Based Systems Engineering to Manufacturing and Production Engineering Systems

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    Increasing complexity in today’s manufacturing and production industry due to the need for higher flexibility and competitiveness is leading to inconsistencies in the iterative exchange loops of the system design process. To address these complexities and inconsistencies, an ongoing industry trend for organizations to make a transition from document-centric principles and applications to being model-centric is observed. In this paper, a literature review is presented highlighting the current need for an industry-wide transition from document-centric systems engineering to Model-Based Systems Engineering (MBSE). Further, investigating the tools and languages used by the researchers for facilitating the transition to and the integration of MBSE approach, we identify the most commonly used tools and languages to highlight the applicability of MBSE in the manufacturing and production industry

    Modelling and use of SysML behaviour models for achieving dynamic use cases of technical products in different VR-systems

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    Digital methods and models help the product designers in performing early evaluations on a product that eventually help to gain understanding about a product’s behaviour and its interactions with neighbouring systems in its later life-phases. Virtual Reality (VR) is a technology that can facilitate the early evaluation process by showing later life situations of a product as early as at the design stage. However, the application of VR in the industry is currently limited due to high model preparation effort and poor reusability of already prepared models. Therefore, this thesis pursues towards the development of a method that can facilitate the early evaluations of the product in VR and thus, facilitate the use of VR in the product development process. This method aims at achieving generic behavioural descriptions for use in VR that can be reused as well to form dynamic use cases of a product in different VR-systems. The focus lies on reducing the overall preparation effort of VR-models and on achieving high reusability of already created models. The core components of the thesis consist of the use of Model Based Systems Engineering (MBSE) to develop generic behavioural model descriptions, their use in building different use cases of a product in one VR-system and their reuse in different VR-systems as well. The Systems Modeling Language (SysML) is used to describe the behavioural models, the modelling process is described systematically and is also summarized in the form of general-purpose guidelines for later use. Furthermore, a dedicated physics engine is used to perform the physical calculations on virtual objects in VR and is integrated with the SysML. These SysML behaviour models together with the physics engine are used to achieve a real-time product use case simulation inside VR. The same SysML behaviour models are used across different VR-systems to achieve real-time simulations and to validate their reuse. Two VR prototypes are developed to demonstrate the effectivity and use of the presented method. Finally, one of the prototypes is put to the empirical evaluation performed with the help of experts from academia as well as the industry.Digitale Methode und Modellen ermöglichen den Produktdesignern eine frühzeitige Evaluierung des Produkts, damit sie das Verhalten des Produkts und seine Interaktionen mit benachbarten Systemen in seinen späteren Lebensphasen besser verstehen können. Virtual Reality (VR) ist eine Technologie, die zum frühen Evaluierungsprozess beitragen kann, indem spätere Lebenssituationen eines Produkts schon in der Entwurfsphase angezeigt werden können. Die Anwendung von VR in der Industrie ist jedoch derzeit aufgrund des hohen Modellaufbereitungsaufwands und der limitierten Wiederverwendbarkeit vorhandener Modelle begrenzt. Daher befasst sich diese Arbeit mit der Entwicklung einer Methode, die die frühzeitige Evaluierung des Produkts innerhalb von VR und die Verwendung von VR im Produktentwicklungsprozess erleichtern kann. Diese Methode befasst sich mit dem Prozess der Entwicklung allgemeiner Verhaltensbeschreibungen zur Verwendung in VR, die auch wiederverwendet werden können, um dynamische Anwendungsfälle eines Produkts in den verschiedenen VR-Systemen abzubilden. Der Fokus liegt auf der Reduzierung des gesamten Aufbereitungsaufwands von VR-Modellen und auf das Verwirklichen einer hohen Wiederverwendbarkeit bereits vorhandener Modelle. Die Kernkomponenten der Arbeit bestehen in der Verwendung von Model Based Systems Engineering (MBSE) zur Entwicklung allgemeingültiger Verhaltensmodellbeschreibungen, ihrer Verwendung beim Erstellen verschiedener Anwendungsfälle eines Produkts in einem VR-System und ihrer Wiederverwendung in den verschiedenen VR-Systemen. Die Systems Modeling Language (SysML) wird zur Beschreibung der Verhaltensmodelle verwendet, der Modellierungsprozess wird systematisch beschrieben und auch in Form allgemeiner Anwendungsrichtlinien für die spätere Verwendung zusammengefasst. Darüber hinaus wird eine dedizierte Physik-Engine verwendet, um die physikalischen Berechnungen für virtuelle Objekte in VR durchzuführen, welche auch mit SysML integriert ist. Diese SysML-Verhaltensmodelle zusammen mit der Physik-Engine bilden eine echtzeitfähige Produktanwendungssimulation in VR. Dieselben SysML-Verhaltensmodelle werden für verschiedene VR-Systeme verwendet, um Echtzeitsimulationen abzubilden und ihre Wiederverwendung zu validieren. Zwei VR-Prototypen wurden entwickelt, um die Wirksamkeit und Verwendung der vorgestellten Methoden zu demonstrieren. Schließlich wurde einer der Prototypen einer empirischen Untersuchung unterzogen, die mithilfe von Experten aus Wissenschaft und Industrie durchgeführt wurde

    An assembly oriented design framework for product structure engineering and assembly sequence planning

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    The paper describes a novel framework for an assembly-oriented design (AOD) approach as a new functional product lifecycle management (PLM) strategy, by considering product design and assembly sequence planning phases concurrently. Integration issues of product life cycle into the product development process have received much attention over the last two decades, especially at the detailed design stage. The main objective of the research is to define assembly sequence into preliminary design stages by introducing and applying assembly process knowledge in order to provide an assembly context knowledge to support life-oriented product development process, particularly for product structuring. The proposed framework highlights a novel algorithm based on a mathematical model integrating boundary conditions related to DFA rules, engineering decisions for assembly sequence and the product structure definition. This framework has been implemented in a new system called PEGASUS considered as an AOD module for a PLM system. A case study of applying the framework to a catalytic-converter and diesel particulate filter sub-system, belonging to an exhaust system from an industrial automotive supplier, is introduced to illustrate the efficiency of the proposed AOD methodology

    Multi-level requirement model and its implementation for medical device

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    Indiana University-Purdue University Indianapolis (IUPUI)Requirements determine the expectations for a new or modified product. Requirements engineering involves defining, documentation and maintenance of requirements. The rapid improving of technologies and changing of market needs require a shorter time to market and more diversified products. As an important and complex task in product development, it is a huge work to develop new requirements for each new product from scratch. The reusability of requirements data becomes more and more important. However, with the current “copy and paste” approach, engineers have to go through the entire set of requirements (sometimes even more than one set of requirements) to identify the ones which need to be reused or updated. It takes a lot of time and highly relies on the engineers’ experiences. Software tools can only make it easier to capture and locate the requirements, but won’t be able to solve the problem of effective reuse of the existing requirement data. The overall goal of this research is to develop a new model to improve the management of requirements and make the reuse and reconfiguration of existing requirements and requirement models more efficient. Considering the requirements data as an important part of the knowledge body of companies, we followed the knowledge categorization method to classify requirements into groups, which were called levels in the study, based on their changing frequency. There are four levels, the regulatory level, the product line level, the product level and the project level. The regulatory level is the most stable level. Requirements in this level were derived from government and industry regulations. The product line level contains the common requirements for a group of products, the product line. The third level, product level, refers to the specific requirements of the product. And the fourth and most dynamic level, the project level, is about the specific configurations of a product for a project. We chose auto-injector as the application to implement the model, since it is a relatively simple product, but its requirements cover many different categories. There are three major steps in our research approach for the project. The first is to develop requirements and classify them for our model. The development of requirements adopts the goal-oriented model to analyze and SysML, a system modeling language, to build requirements model. And the second step is to build requirements template, connecting the solution of the problem to the information system, standalone requirements management tool or information platform. This step is to find a way to realize the multi-level model in an information system. The final step is to implement the model. We chose two software tools for the implementation, Microsoft Office Excel, a commonly used tool for generating requirements documents, and Siemens PLM suite, Teamcenter, a world leading PLM platform with a requirement module. The results in the study include an auto-injector requirement set, a workflow for using the multi-level model, two requirements templates for implementation of the model in two different software tools, and two automatically generated requirement reports. Our model helps to define the changed part of requirements after analysis of the product change. It could avoid the pitfalls of the current way in reusing requirements. Based on the results from this study, we can draw the following conclusions. A practical multi-level requirements management model can be used for a medical device—the auto-injector; and the model can be implemented into different software tools to support reuse of existing requirement data in creating requirement models for new product development projects. Furthermore, the workflow and guideline to support the application and maintenance of the requirement model can be successful developed and implemented. Requirement documents/reports can be automatically generated through the software tool by following the workflow. And according to our assessment, the multi-level model can improve the reusability of requirements

    Dependency Modeling and Model Management in Mechatronic Design

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