This paper develops a general variable fidelity based multidisciplinary design optimization mdo architecture and optimizes the btms by considering different systemsdisciplines from the systemic. Metamodelbased simulation optimization f and c replaced by metamodels. Box 20100, 9200 ca, drachten, the netherlands university of twente, p. Sysmlbased model integration for online collaborative design. It is a graphical modeling editor, which lays the fundamentals of designing soa based systems using a domain specific language dsl. As discussed before, using surrogates for both types of functions in optimization could yield erroneous results due to the metamodeling errors. Besides, to mitigate the computational burden caused by expensive simulation codes and employ both efficiently simplified and expensively detailed information in multidisciplinary design optimization mdo, an. While existing mf metamodel assisted design optimization approaches may. Robustness, optimization and finite element fe simulations are of major importance for achieving better products and cost reductions in the metal forming industry. The purpose of this paper is to present a modified bilevel integrated system collaborative optimization blisco to avoid the nonseparability of the original blisco. Many literatures overstreet, nance, and balci 2002, davis and.
Robust optimization of metal forming processes using a. Collaborative optimization using response surface estimation. Multidisciplinary design optimization approach and its. The proposed multidisciplinary design optimization architecture extends concepts of multidiscipline feasible and bilevel integrated system synthesis into a unified architecture using metamodels.
Metamodelbased multiobjective optimization of a turning process by using finite element simulation. In the hypersonic vehicle, the airframe and the engine are highly integrated. Metamodelbased editor for service oriented architecturemed4soa. This paper provides a metamodelbased approach that formalizes the conversion between soap and restful web services, clarifying this process.
As its name implies, this concept applies the notions of metaand modeling. Problem formulation for multidisciplinary optimization siam. Designing a complex mechatronic product involves multiple design variables, objectives, constraints, and evaluation criteria as well as their nonlinearly coupled relationships. This work presents an approach based on kriging models to efficiently include the uncertainty quantification in the optimization procedures. Weight and mechanical performance optimization of blended composite wing panels using lamination parameters. Multiobjective optimization design for a battery pack of. This work presents an approach based on kriging models to efficiently include the uncertainty quantification in. A separate chapter is dedicated to each research task. Application to an analytic test problem and aircraft design. An efficient metamodelbased multiobjective multidisciplinary design optimization framework.
Response surface methodology and its extensions ebru mevlude angun on. In this thesis, stateoftheart methods for metamodel based design optimization are covered and different multidisciplinary design optimization methods are presented. Aug 16, 2017 multifidelity mf metamodeling approaches have recently attracted a significant amount of attention in simulation based design optimization due to their ability to conduct tradeoffs between high accuracy and low computational expenses by integrating the information from highfidelity hf and lowfidelity lf models. Development of a hybrid metamodel based simulation optimization algorithm. In this thesis, stateoftheart methods for metamodelbased design optimization are covered and different multidisciplinary design optimization methods are presented. Review of metamodeling techniques in support of engineering. The optimization for multidisciplinary engineering systems is highly complicated, which involves the decomposing of a system into several individual disciplinary subsystems for obtaining optimal so. The framework of mdo is designed to be top level system level and low level discipline level by co. Home browse by title periodicals engineering with computers vol. Metamodelbased multiobjective robust design optimization of. Multifidelity mf metamodeling approaches have recently attracted a significant amount of attention in simulationbased design optimization due to their ability to conduct tradeoffs between high accuracy and low computational expenses by integrating the information from highfidelity hf and lowfidelity lf models. The proposed algorithm is implemented on a metamodel based collaborative optimization architecture. An aircooling battery pack equipped on electric vehicles is first designed. Aug 22, 2012 metamodel based collaborative optimization framework 22 august 2008 structural and multidisciplinary optimization, vol.
Metamodelbased editor for service oriented architecture. A robust optimization approach based on multifidelity. Metamodelingbased optimization erdem acar postdoctoral research associate. A metamodelbased definition of a conversion mechanism. It provides multiple types of modelconnectivity patterns to connect the sysmlbased system model to externallydefined design and analysis model. It provides multiple types of modelconnectivity patterns to connect the sysmlbased system model to. Purpose the purpose of this paper is to present an application of a multidisciplinary multi. The starting point is an extensive literature survey, but some of the parts are influenced by the authors own. It has been partly sponsored by the swedish governmental agency for. Multidisciplinary and multifidelity design optimization of. A systematic optimization design method for complex. This paper focuses on the metamodel based collaborative optimization co. Structural and multidisciplinary optimization 38 2.
The multidisciplinary design optimization mdo approach is very crucial for the conceptual design of the aircraft, and this is due to the complex interaction between different disciplines, especially for the hypersonic vehicle. Evidencebased multidisciplinary design optimization with. Metamodelbased multiobjective robust design optimization. The btms consists of many subsystems that belong to different disciplines, which poses challenges to btms optimization using conventional methods. Metamodelbased multidisciplinary design optimization. Aug 22, 2008 this paper focuses on the metamodel based collaborative optimization co. The objective is to improve the computational efficiency of co in order to handle multidisciplinary design optimization problems utilising high fidelity models. It is a graphical modeling editor, which lays the fundamentals of designing soabased systems using a domain specific language dsl. The starting point is an extensive literature survey, but some of the parts are influenced by the authors own experiences from the automotive industry. The concurrent subspace optimization approach is the most popular method in the aerospace engineering for its easy implementation, and following is the collaborative optimization approach. Metamodel based collaborative optimization framework. Development of a hybrid metamodel based simulation. A metamodelbased multidisciplinary design optimization. Thus metamodeling or metamodeling is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems.
Multidisciplinary design optimization architecture to concurrent design of satellite systems. Optimization with variablefidelity models applied to wing. Metamodelbased collaborative optimization framework core. Metamodelbased collaborative optimization framework article in structural and multidisciplinary optimization 382.
Metamodelbased optimization for problems with expensive. The aim of this report is to explore the stateoftheart within metamodelbased multidisciplinary design optimization, with special focus on automotive applications. The term simulation optimization has become widespread in both academical and practical studies. Collaborative multifidelity multidisciplinary design optimization framework 2. Multiobjective robust optimization moro is a highly demanding computational task because of the direct nesting of the uncertainty quantification within optimization. In this thesis, stateoftheart methods for metamodelbased design optimization are.
In this thesis we provide a metamodelbased editor for service oriented architecturemed4soa. In this thesis we provide a metamodel based editor for service oriented architecturemed4soa. The following sections present firstly a more thorough examination of the definitions of models, metamodels and model transformations. In global metamodel fitting strategies, the entire region of interest in terms of. More than 40 million people use github to discover, fork, and contribute to over 100 million projects. This includes the presentation of an example that will be used. The strategy of decomposition in co is a useful way for solving large engineering design problems. Metamodelbased test generation for model transformations. The proposed method is evaluated and compared with existing multiobjective optimization algorithms such as multiobjective particle swarm optimization mopso and nondominated sorting genetic algorithm ii nsgaii, using a number of wellknown. Collaborative optimization co is a multidisciplinary design optimization mdo method with bilevel computational structure, which decomposes the original optimization problem into one systemlevel problem and several subsystem problems. Pdf use of moving least squares method in collaborative.
Multilevel useful in other applications such as tolerance optimization. This paper focuses on the metamodelbased collaborative optimization co. The design space can be very big consisting of many functional design parameters, structural design parameters, and behavioral design or running performances parameters. The optimization process can be carried out using the metamodel instead of the complex model, which is referred as metamodel based design optimization mbdo. Jul, 2006 2015 collaborative multidisciplinary design optimization. Two general strategies have been used for metamodelbased simulation optimization. Proceedings of this forum also, collaborative design optimization, design of product families. Metamodelbased collaborative optimization framework.
May 17, 2012 variable fidelity metamodel based analytical target cascading method for green design 9 january 20 the international journal of advanced manufacturing technology, vol. A serializationbased partial decoupling approach for. To address these issues, two levels of metamodel building techniques are proposed. Multidisciplinary design optimization architecture to. In this paper, a metamodel based robust optimization strategy is proposed for metal forming processes. The multilevel optimization approach has attracted a growing attention due to its high efficiency. Nsf workshop on simulation optimization may 24, 2010.
A multidisciplinary approach for automotive structuresbased design optimization. The optimization process can be carried out using the metamodel instead of the complex model, which is referred as metamodelbased design optimization mbdo. A robust optimization approach to inventory theory. View download this list as an acrobat pdf document. Robust optimization of metal forming processes using a metamodelbased strategy j. Evidencebased multidisciplinary design optimization with the. In this investigation, a systematic surrogatebased optimization design framework for a battery pack is presented. An alternative formulation of collaborative optimization. A new variablefidelity optimization framework based on model fusion and objectiveoriented sequential sampling. Abstract in this paper, a metamodel based hybrid algorithm was developed for optimization of digital computer simulation models. The proposed algorithm is implemented on a metamodelbased collaborative optimization architecture. Their combined citations are counted only for the first article.
Box 5008, 2600 ga, delft, the netherlands philips consumer lifestyle, p. Metamodelbased collaborative optimization framework 22 august 2008 structural and multidisciplinary optimization, vol. They are written by a transformation developer who may or may not be the same as the software developer. One of the many reasons for this interest in simulation optimization is that for problems that arise in practical applications. Aircraft design using collaborative optimization aerospace. Combitech ab in collaboration with the division of solid mechanics, linkoping university. This work is based on the framework of the mps 1corresponding author. Multidisciplinary and multifidelity design optimization of electric vehicle battery thermal management system. Use of moving least squares method in collaborative optimization. A metamodelbased monte carlo simulation approach for responsive production planning of manufacturing systems journal of manufacturing systems, vol.
The top level is a system optimizer responsible for assigning target values for systemlevel state variables to disciplines. Metamodelbased design optimization a multidisciplinary. Problem formulation for multidisciplinary optimization. This paper presents an enhanced multidisciplinary design optimization architecture to concurrent holistic design optimization of a satellite system. Liu d, toropov vv, barton dc and querin om 20150926. A metamodel or surrogate model is a model of a model, and metamodeling is the process of generating such metamodels. Novel collaborative optimization framework with a negotiation model for satellite system design. Apr 29, 2014 purpose the purpose of this paper is to present an application of a multidisciplinary multi.
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