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