An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization

Abstract

Multidisciplinary design optimization (MDO) has been applied widely in the design of complex engineering systems. To ease MDO problems, analytical target cascading (ATC) organizes MDO process into multilevels according to the components of engineering systems, which provides a promising way to deal with MDO problems. ATC adopts a coordination strategy to coordinate the couplings between two adjacent levels in the design optimization process; however, existing coordination strategies in ATC face the obstacles of complicated coordination process and heavy computation cost. In order to conquer this problem, a quadratic exterior penalty function (QEPF) based ATC (QEPF-ATC) approach is proposed, where QEPF is adopted as the coordination strategy. Moreover, approximate models are adopted widely to replace the expensive simulation models in MDO; a QEPF-ATC and Kriging model combined approach is further proposed to deal with MDO problems, owing to the comprehensive performance, high approximation accuracy, and robustness of Kriging model. Finally, the geometric programming and reducer design cases are given to validate the applicability and efficiency of the proposed approach.

Analytical target cascading for optimal configuration of cloud manufacturing services

“…The working logic of ATC method ATC method has been widely used in two aspects. One is ATC improvements, such as weighting update method to achieve acceptable consistency deviation in ATC , generalized probabilistic ATC formulation (Liu et al, 2006), extending ATC method to obtain Pareto solutions (Kang et al, 2014b), quadratic exterior penalty function based ATC approach (Jiang et al, 2015) . The other is ATC applications on solving various engineering problems, for instance, automotive chassis design (Kim et al, 2003b), exploring the interrelationships between consumer preference and engineering capabilities , formulating and solving the product and process tolerance allocation in multistation compliant assembly (Li et al, 2008), developing system to realize decentralized supply chain configuration over supply chain grid (Qu et al, 2010b), optimal design of commercial vehicle system (Kang et al, 2014a).…”

CMDOWS: a proposed new standard to store and exchange MDO systems

“…A limited amount of recent developments relevant to the formulation phase of MDO systems can be found in literature. These include the derivation of new MDO architectures, such as [23,24], that are not included in the exhaustive overview published by Martins and Lambe [25]. On the other hand, it is peculiar to observe that no new developments can be found in any of the commercial process integration and design optimization (PIDO) platforms (the commodity tools for the execution of MDO workflows), for what concerns their capability to support users in the formulation of MDO problems.…”

An Enhanced Collaborative Optimization Approach with Design Structure Matrix Algorithms to Group and Decouple Multidisciplines

“…The research results of the optimization platforms and application technologies mentioned above are of significance in designing complex products. However, due to complex information interaction and coupling among various disciplines, the application of MDO faces the obstacles of complicated coordination process and heavy computation cost [12]. Therefore, this paper proposes a so-called sequenced collaborative optimization (SCO) approach, where design structure matrix (DSM) is applied into the solving process of MDO and is used to describe links among various disciplines.…”