A Novel Design Approach For Mechatronic Systems Based On Multidisciplinary Design Optimization (original) (raw)
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Applied Sciences
This paper presents an innovative Mechatronic Concurrent Design procedure to address multidisciplinary issues in Mechatronics systems that can concurrently include traditional and new aspects. This approach considers multiple criteria and design variables such as mechanical aspects, control issues, and task-oriented features to formulate a concurrent design optimization problem that is solved using but not limited to heuristic algorithms. Furthermore, as an innovation, this procedure address all considered aspects in one step instead of multiple sequential stages. Finally, this work discusses an example referring to Mechatronic Design to show the procedure performed and the results show its capability.
2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014
Optimization of integrated mechatronic design is a complex process characterized by an important number of requirements, design variables, constraints and objectives. Therefore, it is very important to efficiently decompose the system design problem into a set of quasi-separable subproblems to reduce the design complexity and minimize the computational cost of a mechatronic design. In this study, a constraint-based method is proposed for the partitioning of the mechatronic design optimization problem. This approach allows designers to optimize the mechatronic system taking into account the interaction between the different use cases of the system. By applying the approach to the case of a preliminary design of an electric vehicle, the electric motor and the transmission gearbox have been optimized. It is shown that the presented approach allows designers to easily decompose the problem and integrate performance analysis with multidisciplinary optimization for efficient design verification and validation of mechatronic systems.
A Review on Multidisciplinary Design Optimization of Dynamic Engineering Systems
COMPUTATIONAL RESEARCH PROGRESS IN APPLIED SCIENCE & ENGINEERING (CRPASE), 2020
Dynamical system is explained as a particle movement which depend on time and predicts its future behavior. Dynamical systems are always used for some engineering problems. These problems include movements, vibrations and technology. It has several applications in automotive engineering as well. It includes the vehicle dynamic design and control systems. Although it develops the systems that helps the human life, but it also brings plenty of necessaries which one of them is optimization. Multidisciplinary design optimization (MDO) should be used in the solving of dynamic engineering problems. Lacking MDO can lead to less efficiency or mismatch of system. MDO play important role in the improvement of the systems. In this article a review on the application of MDO in dynamic system is presented.
Integrated design methodology of a mechatronic system
Mécanique & Industries, 2010
Current literature provides many studies on the mechatronic design process. However, they only focus on one level of the design V-cycle. This study deals with the entire downward side of the cycle in view to processing it globally. To achieve this, we propose a hybrid methodology based on several tools, languages and methodologies such as SADT, SysML, Modelica and CATIA Systems r. The method was validated successfully in a Modelica/Dymola framework. It is now possible to partially automate the process.
Multidisciplinary System Design Optimization (MSDO)
2004
The design method presented in this paper is related to the upper-stage system and its instrumentation, expedition and facilitation so as to transfer the satellite from the destination orbit to the target orbit. We used an integrated design method with a structure based on multidisciplinary system design optimization and developed a simple systematic interference method for designing aerospace products. The subsystems' convergence in an optimized environment, matrix relationship, and integration of the subsystems' parameters and presentation of design give results while meeting all requirements and considering the limitations of the design were the main aims of the research. Instead of a merely mathematical optimization design, in the present study a new design method with a systematic multipurpose optimization approach was designed. In this context, the optimization means the parameters are optimized as a result of the design convergence coefficients. Validation of the design method was not only obtained through comparison with a specific product but also with the systematic parameters of all upper-stage systems with a similar operation through the results of statistical design graphs. The approximate similarities of the results indicate an acceptable and genuine design with a quite systematic approach which is better than an unreal and merely optimized design.
Trends in concurrent, multi-criteria and optimal design of mechatronic systems: A review
Proceedings of the 2014 International Conference on Innovative Design and Manufacturing (ICIDM), 2014
Due to the inherent complexity and the dynamic coupling between subsystems of mechatronic systems, a systematic and multicriteria design thinking methodology is crucial to replace the traditionally used sequential design approach. In this paper we discuss the various aspects of current approaches within mechatronic system design to point out the most important challenges. Accordingly, a review on the most recent work on design and optimization methods and tools is presented and briefly discussed. A framework for concurrent and integrated design of mechatronic system based on separation of realtime and non-realtime system behaviours is also introduced and developed methods based on this model are presented.
A Review Analysis of Design Models for Mechatronic Product Design Perspectives
International Journal of Innovative Technology and Exploring Engineering, 2022
The design of a mechatronic system is considered according to the concurrent engineering approach within the framework of a development cycle, is a methodological approach to master the design of complex systems and products. Competition on product quality and performance has become the main factor that companies face in today's market. These pressures are driving technological advances to provide systems with a constant increase in performance at reduced costs and in shorter delivery times. The performance includes better interoperability, improved reliability, good safety and smaller size that have determined the birth of mechatronic systems. Obtaining a product with these qualities in a reduced time would be beneficial for design companies if they follow an efficient design model appropriate for complex system. In this context, this paper conducts a discretized study on the main mechatronic design patterns in order to make their use understandable for the design of mechatroni...
Metamodel-Based Multidisciplinary Design Optimization for Automotive Applications
2012
When designing a complex product, many groups are concurrently developing different parts or aspects of the product using detailed simulation models. Multidisciplinary design optimization (MDO) has its roots within the aerospace industry and can effectively improve designs through simultaneously considering different aspects of the product. The groups involved in MDO need to work autonomously and in parallel, which influence the choice of MDO method. The methods can be divided into single-level methods that have a central optimizer making all design decisions, and multi-level methods that have a distributed decision process. This report is a comprehensive summary of the field of MDO with special focus on structural optimization for automotive applications using metamodels. Metamodels are simplified models of the computationally expensive detailed simulation models and can be used to relieve some of the computational burden during MDO studies. The report covers metamodel-based design optimization including design of experiments, variable screening, metamodels and their validation, as well as optimization methods. It also includes descriptions of several MDO methods, along with a comparison between the aerospace and automotive industries and their applications of MDO. The information in this report is based on an extensive literature survey, but the conclusions drawn are influenced by the authors' own experiences from the automotive industry. The trend goes towards using advanced metamodels and global optimization methods for the considered applications. Further on, many of the MDO methods developed for the aerospace industry are unsuitable for the automotive industry where the disciplines are more loosely coupled. The expense of using multi-level optimization methods is then greater than the benefits, and the authors therefore recommend single-level methods for most automotive applications.
Mechatronic design optimization using multi-agent approach
Mechatronic design optimization is a complex process characterized by an important number of requirements, design variables, constraints and objectives. Therefore, it is very important to decompose efficiently the system design problem into a set of sub-problems to minimize the computational cost while profiting from the spatial distribution of design tools, working teams and expertise. However, coordinating design optimization of a distributed design is a real issue to overcome. In this study, a new efficient collaborative optimization approach based on multi-agent paradigm is proposed for mechatronic design optimization. The proposed method is applied to the preliminary design case of an electric vehicle to demonstrate its validity and effectiveness.