Robustness, optimization and finite element fe simulations are of major importance for achieving better products and cost reductions in the metal forming industry. 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. The objective is to improve the computational efficiency of co in order to handle multidisciplinary design optimization problems utilising high fidelity models. Metamodelbased optimization for problems with expensive. Apr 29, 2014 purpose the purpose of this paper is to present an application of a multidisciplinary multi. Nsf workshop on simulation optimization may 24, 2010. Problem formulation for multidisciplinary optimization siam. To address these issues, two levels of metamodel building techniques are proposed. Metamodelingbased optimization erdem acar postdoctoral research associate. It provides multiple types of modelconnectivity patterns to connect the sysmlbased system model to.
Designing a complex mechatronic product involves multiple design variables, objectives, constraints, and evaluation criteria as well as their nonlinearly coupled relationships. Metamodelbased collaborative optimization framework article in structural and multidisciplinary optimization 382. Pdf use of moving least squares method in collaborative. Sysmlbased model integration for online collaborative design. Use of global approximations in the collaborative optimization framework. Robust optimization of metal forming processes using a metamodelbased strategy j. In this thesis, stateoftheart methods for metamodel based design optimization are covered and different multidisciplinary design optimization methods are presented. Collaborative multifidelity multidisciplinary design optimization framework 2.
Metamodelbased editor for service oriented architecturemed4soa. It is a graphical modeling editor, which lays the fundamentals of designing soa based systems using a domain specific language dsl. View download this list as an acrobat pdf document. Metamodelbased multiobjective robust design optimization. Multidisciplinary and multifidelity design optimization of electric vehicle battery thermal management system. In this investigation, a systematic surrogatebased optimization design framework for a battery pack is presented. Novel collaborative optimization framework with a negotiation model for satellite system design. Abstract in this paper, a metamodel based hybrid algorithm was developed for optimization of digital computer simulation models. 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. Multiobjective optimization design for a battery pack of. Box 20100, 9200 ca, drachten, the netherlands university of twente, p. 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.
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. Use of moving least squares method in collaborative optimization. The proposed multidisciplinary design optimization architecture extends concepts of multidiscipline feasible and bilevel integrated system synthesis into a unified architecture using metamodels. A metamodel or surrogate model is a model of a model, and metamodeling is the process of generating such metamodels. This approach can be used for guiding the ranslation process in forthcoming conversion frameworks and the publication of services in ides.
Multidisciplinary design optimization architecture to concurrent design of satellite systems. 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. 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 approach and its. A robust optimization approach to inventory theory. One of the many reasons for this interest in simulation optimization is that for problems that arise in practical applications. This paper provides a metamodelbased approach that formalizes the conversion between soap and restful web services, clarifying this process. An alternative formulation of collaborative optimization. Development of a hybrid metamodel based simulation. Optimization with variablefidelity models applied to wing. Weight and mechanical performance optimization of blended composite wing panels using lamination parameters. Application to an analytic test problem and aircraft design. A robust optimization approach based on multifidelity. As its name implies, this concept applies the notions of metaand modeling. Box 5008, 2600 ga, delft, the netherlands philips consumer lifestyle, p. The design space can be very big consisting of many functional design parameters, structural design parameters, and behavioral design or running performances parameters. This paper focuses on the metamodel based collaborative optimization co.
An efficient metamodelbased multiobjective multidisciplinary design optimization framework. This work presents an approach based on kriging models to efficiently include the uncertainty quantification in. Proceedings of this forum also, collaborative design optimization, design of product families. Metamodelbased collaborative optimization framework core. Metamodelbased design optimization a multidisciplinary. 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. In this thesis we provide a metamodel based editor for service oriented architecturemed4soa. Metamodel based collaborative optimization framework. Home browse by title periodicals engineering with computers vol.
Response surface methodology and its extensions ebru mevlude angun on. In this thesis, stateoftheart methods for metamodelbased design optimization are covered and different multidisciplinary design optimization methods are presented. In this paper, a metamodel based robust optimization strategy is proposed for metal forming processes. This work presents an approach based on kriging models to efficiently include the uncertainty quantification in the optimization procedures. Metamodelbased collaborative optimization framework. As discussed before, using surrogates for both types of functions in optimization could yield erroneous results due to the metamodeling errors. Two general strategies have been used for metamodelbased simulation optimization. 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. It has been partly sponsored by the swedish governmental agency for.
The purpose of this paper is to present a modified bilevel integrated system collaborative optimization blisco to avoid the nonseparability of the original blisco. It provides multiple types of modelconnectivity patterns to connect the sysmlbased system model to externallydefined design and analysis model. Problem formulation for multidisciplinary optimization. The term simulation optimization has become widespread in both academical and practical studies. Combitech ab in collaboration with the division of solid mechanics, linkoping university. Their combined citations are counted only for the first article. This paper focuses on the metamodelbased collaborative optimization co. A new variablefidelity optimization framework based on model fusion and objectiveoriented sequential sampling. 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 multiobjective optimization of a turning process by using finite element simulation. Purpose the purpose of this paper is to present an application of a multidisciplinary multi. The proposed algorithm is implemented on a metamodel based collaborative optimization architecture. Development of a hybrid metamodel based simulation optimization algorithm. Metamodelbased test generation for model transformations. Collaborative optimization using response surface estimation. A serializationbased partial decoupling approach for. Multidisciplinary design optimization architecture to. The starting point is an extensive literature survey, but some of the parts are influenced by the authors own experiences from the automotive industry.
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 multidisciplinary design optimization. This paper presents an enhanced multidisciplinary design optimization architecture to concurrent holistic design optimization of a satellite system. A metamodelbased definition of a conversion mechanism. Metamodelbased collaborative optimization framework 22 august 2008 structural and multidisciplinary optimization, vol. Review of metamodeling techniques in support of engineering. 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. They are written by a transformation developer who may or may not be the same as the software developer. Multidisciplinary and multifidelity design optimization of. Aug 22, 2012 metamodel based collaborative optimization framework 22 august 2008 structural and multidisciplinary optimization, vol. Metamodelbased editor for service oriented architecture. Multiobjective robust optimization moro is a highly demanding computational task because of the direct nesting of the uncertainty quantification within optimization. The optimization process can be carried out using the metamodel instead of the complex model, which is referred as metamodel based design optimization mbdo.
Robust optimization of metal forming processes using a. The top level is a system optimizer responsible for assigning target values for systemlevel state variables to disciplines. Metamodelbased simulation optimization f and c replaced by metamodels. The following sections present firstly a more thorough examination of the definitions of models, metamodels and model transformations. A framework applied on aircraft conceptual system design. The aim of this report is to explore the stateoftheart within metamodelbased multidisciplinary design optimization, with special focus on automotive applications. The optimization process can be carried out using the metamodel instead of the complex model, which is referred as metamodelbased design optimization mbdo.
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. Jul, 2006 2015 collaborative multidisciplinary design optimization. In the hypersonic vehicle, the airframe and the engine are highly integrated. Many literatures overstreet, nance, and balci 2002, davis and. A metamodelbased multidisciplinary design optimization. In this thesis, stateoftheart methods for metamodelbased design optimization are. A separate chapter is dedicated to each research task. The strategy of decomposition in co is a useful way for solving large engineering design problems. Multilevel useful in other applications such as tolerance optimization.
In this thesis we provide a metamodelbased editor for service oriented architecturemed4soa. Aircraft design using collaborative optimization aerospace. Evidencebased multidisciplinary design optimization with. The btms consists of many subsystems that belong to different disciplines, which poses challenges to btms optimization using conventional methods. It is a graphical modeling editor, which lays the fundamentals of designing soabased systems using a domain specific language dsl. While existing mf metamodel assisted design optimization approaches may. Evidencebased multidisciplinary design optimization with the. The proposed algorithm is implemented on a metamodelbased collaborative optimization architecture. A multidisciplinary approach for automotive structuresbased design optimization. The framework of mdo is designed to be top level system level and low level discipline level by co. 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. Liu d, toropov vv, barton dc and querin om 20150926. This work is based on the framework of the mps 1corresponding author.
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