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multidisciplinary design and optimization methodologies in electronics packaging: State-of-the-art review

JOURNAL OF ELECTRONIC PACKAGING 2008年第3期130卷 034001页

作者： Hadim, Hamid Suwa, Tohru Stevens Inst Technol Dept Mech Engn Hoboken NJ 07030 USA

Electronics packaging design is a process that requires optimized solutions based on multidisciplinary design trade-offs, which usually have complex relationships among multiple design variables. Required numerical analyses combining electrical, thermal, and thermomechanical, among others, have made the multidisciplinary design and optimization process more challenging because of their time-intensive modeling and computation. In this paper, a state-of-the-art review of recent multidisciplinary design and optimization methodologies in electronics packaging is presented. The reported methodologies are divided into three groups: (1) integrated multidisciplinary computer aided design (CAD) environment, (2) semi-automated design optimization techniques, and (3) automated component placement techniques. In the first group, multidisciplinary design and optimization are carried out using interactive CAD environment software. The electronics packaging designer inputs data and makes decisions, while the CAD software provides a comprehensive multidisciplinary modeling and simulation environment. In the second group, using semi-automated design optimization methodologies, various objectives are optimized simultaneously mainly based on package configurations (dimensions), material properties, and operating conditions. In the third group, optimal placement of heat generating components is performed automatically based on multiple requirements. In recent years, methodologies using (1) detailed numerical analysis models directly connected to optimization algorithms, (2) design of experiments (DoE), and (3) artificial neural networks (ANNs) have been proposed as new trends in this field. These methodologies have led to significant improvement in design optimization capabilities, while they require intensive computational effort. Advantages as well as disadvantages of these methods are discussed.

关键词： multidisciplinary design and optimization electronics packaging design CAD in electronics packaging thermal and thermo-mechanical design electronics component placement design of experiments artificial neural network

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multidisciplinary design and optimization of integrated microsystems

Multidisciplinary design and optimization of integrated micr...

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International Conference on Intelligent Mechatronics and Automation

作者： Chang, HL Li, WJ Yuan, WZ Ma, BH Northwestern Polytech Univ MEMS NEMS Lab Xian 710072 Peoples R China

ISBN: (纸本)0780387481

The design and optimization of integrated microsystem require comprehensive consideration of the coupling effects of fabrication process, physical structure parameters, air environments, and interface electronics before the costly and time-consuming microfabrication. In this. paper a multidisciplinary design framework including fabrication factor, structural property, readout circuit and environmental quality factor is proposed to optimize the whole performance of microgyroscope which is one typical integrated microsystem. Genetic algorithm (GA) is applied to maximize sensitivity under the given multidisciplinary optimization model. The optimal,results are verified with FEM modal analysis and compared with the conventional gradient-based optimization method, which demonstrates it is effective for microgyroscope's global design optimization.

关键词： microsystems multidisciplinary design and optimization microgyroscope genetic algorithm

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multidisciplinary design and optimization of Satellite Launch Vehicle Using Latin Hypercube design of Experiments

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Computer Aided Drafting,design and Manufacturing 2009年第1期19卷 1-7页

作者： AMER Farhan Rafique QASIM Zeeshan School of Astronautics Beijing University of Aeronautics and Astronautics

The design of new Satellite Launch Vehicle （SLV） is of interest, especially when a combination of Solid and Liquid Propulsion is included. Proposed is a conceptual design and optimization technique for multistage Low Earth Orbit （LEO） bound SLV comprising of solid and liquid stages with the use of Genetic Algorithm （GA） as global optimizer. Convergence of GA is improved by introducing initial population based on the design of Experiments （DOE） Technique. Latin Hypercube Sampling （LHS）-DOE is used for its good space filling properties. LHS is a stratified random procedure that provides an efficient way of sampling variables from their multivariate distributions. In SLV design minimum Gross Lift offWeight （GLOW） concept is traditionally being sought. Since the development costs tend to vary as a function of GLOW, this minimum GLOW is considered as a minimum development cost concept. The design approach is meaningful to initial design sizing purpose for its computational efficiency gives a quick insight into the vehicle performance prior to detailed design.

关键词： multidisciplinary design and optimization satellite launch vehicle solid propulsion liquid propulsion latin hypercube sampling design of experiments

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Knowledge-based engineering to support aircraft multidisciplinary design and optimization

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2010年第G9期224卷 1041-1055页

作者： La Rocca, G. van Tooren, M. J. L. Delft Univ Technol NL-2629 HS Delft Zh Netherlands

This paper discusses structure and functionalities of a knowledge-based engineering (KBE) application, called multimodel generator (MMG), developed to support aircraft multidisciplinary design, analysis, and optimization. designers can use the MMG as an advanced modelling tool to swiftly generate geometrical models of many and diverse aircraft configurations and variants, by combining and adjusting a limited number of parametric objects, called high-level primitives. Besides capturing the geometric aspects of the design, the MMG also has the capabilities to automate a large part of the lengthy and non-creative pre-processing activities involved in the design verification process. The proposed KBE application has demonstrated to be a valuable solution for some of the critical needs indicated by the multidisciplinary design and optimization community, namely a flexible and robust generative tool to increase the level of automation in aircraft design, including the development of novel configurations;the exploitation of high-fidelity analytical tools already in the early design phase;the management of the design activities across distributed networks of disciplines specialists.

关键词： knowledge-based engineering multidisciplinary design and optimization aircraft design multimodel generator high-level primitives capability modules

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Assessment of Closed Loop Dynamics in the multidisciplinary design and optimization of Small UAVs

Assessment of Closed Loop Dynamics in the Multidisciplinary ...

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AIAA Aviation Forum

作者： Fernandez, Luiz F. T. Bronz, Murat Lefebvre, Thierry Bartoli, Nathalie Univ Toulouse ONER ADTIS DTIS Toulouse France Univ Toulouse ENAC F-F31400 Toulouse France

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

There has been an increasing interest in the application of agile unmanned aerial vehicles (UAVs) for various missions. In this paper, we present an introductory assessment of the impact of addressing control feasibility in the multidisciplinary design and optimization (MDO) of such vehicles. Our approach involves incorporating dynamical simulation disciplines into an existing MDO process, originally formulated for tail-sitter vehicles, to achieve more dexterous flights. Specifically, we simulate the cruise phase of an UAV flight by coupling a flight dynamics module with a control system that includes attitude and velocity control as well as a guidance law for 3D navigation. An open loop simulation is also employed to account for the vehicle's ability to hover. We begin our studies with a single design variable optimization problem and demonstrate how the simulation can be used to reduce energy consumption. Final results, obtained optimizing the vehicle and guidance law gains, highlight the effectiveness of this approach in improving the control maneuverability and energy efficiency of an agile UAV.

关键词： Linear Quadratic Regulator multidisciplinary design and optimization Unmanned Aerial Vehicle Energy Consumption Flight Dynamics Control Law design Guidance Laws Supersonic Aircraft Aerodynamic optimization Lift Coefficient

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Theoretical Analysis on Sequential multidisciplinary design optimization Architecture

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JOURNAL OF MECHANICAL design 2021年第2期143卷 024501页

作者： Zheng, Ruixiang Wang, Yijie Li, Mian Joint Inst Univ Michigan Shanghai Jiao Tong Univ Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ Joint Inst Univ Michigan Shanghai Jiao Tong Univ Shanghai 200240 Peoples R China

In the past few decades, multidisciplinary design optimization (MDO) has become a very important research topic along with the increase of the system complexity. In an MDO problem, it is very typical that multiple disciplines are involved, making the problem coupled and complex. Monolithic and distributed architectures have been proposed for solving MDO problems. However, efficient architectures are still needed. In the prior work, a sequential multidisciplinary design optimization (S-MDO) architecture was proposed that has a distributed structure that decomposes the original MDO problem into several subproblems. However, in the original S-MDO work, the theoretical behaviors were not analyzed because its mathematical representations were not clear. In this article, we present a clear mathematical representation of the S-MDO architecture and conduct theoretical analysis on the S-MDO architecture to explain its performance in solving MDO problems. The optimality condition of the S-MDO architecture is derived and summarized as a theorem and a proposition. To demonstrate the general formulation of solving an MDO problem using the S-MDO architecture and validate the correctness of the optimality condition, we use it to obtain the Pareto frontier of a benchmark MDO problem. From the spread of the obtained Pareto frontier, we can conclude that the S-MDO architecture performs well, as long as the global optimum of each disciplinary subproblem can be found.

关键词： collaborative design design optimization multidisciplinary design and optimization simulation-based design

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multidisciplinary Robust design optimization Incorporating Extreme Scenario in Sparse Samples

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JOURNAL OF MECHANICAL design 2024年第9期146卷 091701页

作者： Li, Wei Niu, Yuzhen Huang, Haihong Garg, Akhil Gao, Liang Hefei Univ Technol Sch Mech Engn Hefei 230009 Peoples R China Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China

Robust design optimization (RDO) is a potent methodology that ensures stable performance in designed products during their operational phase. However, there remains a scarcity of robust design optimization methods that account for the intricacies of multidisciplinary coupling. In this article, we propose a multidisciplinary robust design optimization (MRDO) framework for physical systems under sparse samples containing the extreme scenario. The collaboration model is used to select samples that comply with multidisciplinary feasibility, avoiding time-consuming multidisciplinary decoupling analyses. To assess the robustness of sparse samples containing the extreme scenario, linear moment estimation is employed as the evaluation metric. The comparative analysis of MRDO results is conducted across various sample sizes, with and without the presence of the extreme scenario. The effectiveness and reliability of the proposed method are demonstrated through a mathematical case, a conceptual aircraft sizing design, and an energy efficiency optimization of a hobbing machine tool.

关键词： multidisciplinary robust design optimization sparse samples extreme scenario linear moment estimation design automation multidisciplinary design and optimization

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Incorporation of Producibility Considerations into an Aircraft multidisciplinary design optimization Framework

Incorporation of Producibility Considerations into an Aircra...

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AIAA SciTech Forum

作者： Buonanno, Michael Kwasniak, Thomas Quay, Nathan Ross, Amy Sagan, Daniel Lupp, Christopher A. Boden, Brench L. Lockheed Martin Aeronaut Co Adv Dev Programs Palmdale CA 93599 USA Air Force Res Lab Air Vehicles Directorate Wright Patterson AFB OH 45433 USA Air Force Res Lab Wright Patterson AFB OH 45433 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

In recent years, multidisciplinary design optimization has become an increasingly important tool during the process of aircraft design. Lockheed Martin, under contract to the Air Force Research Laboratory, recently completed a program known as EXPEDITE (EXPanded multidisciplinary design optimization (MDO) for Effectiveness Based design TEchnologies) that made advances across multiple aspects of MDO. This paper describes recent developments, focused on methods to account for producibility early in the aircraft design process. Producibility is a measure which has been frequently neglected in early conceptual design trades due to the difficulty in quantifying producibility concerns in an abstract way. This work demonstrates that it is possible to quantify the effect of various design features on potential producibility-related factors by introducing a producibility risk flagging module, thereby enabling more robust conceptual design MDO studies with reduced downstream development risk.

关键词： multidisciplinary design and optimization Aircrafts Air Force Research Laboratory Aircraft design Process design for Assembly Lockheed Martin Corporation Surrogate Model Pareto Frontier Cost Effectiveness High Performance Computing

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Automatic adjoint sensitivity analysis of models for large-scale multidisciplinary design optimization

Automatic adjoint sensitivity analysis of models for large-s...

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AIAA Aviation Forum

作者： Sperry, Mark Z. Kondap, Kavish Hwang, John T. Univ Calif San Diego Dept Mech & Aerosp Engn 9500 Gilman Dr La Jolla CA 92093 USA Francis Parker Sch 6501 Linda Vista Rd San Diego CA 92111 USA

ISBN: (数字)9781624107047

ISBN: (纸本)9781624107047

Large-scale multidisciplinary design optimization (MDO) is the solution of numerical optimization problems involving dozens or more design variables and multidisciplinary models. It can provide a systematic approach for dealing with high-dimensional design problems where the engineer's intuition is of limited value. One of the critical barriers is the complexity of implementation for adjoint sensitivity analysis which is needed for efficient large-scale MDO. Recently, a new modeling language, called CSDL, was developed that enables the construction of a computational graph for the model. The graph can be used to implement automatic adjoint sensitivity analysis, but the proposed compiler for CSDL incurs significant computational overhead as the cost of the automation. This paper describes a method that eliminates this overhead in the CSDL compiler by using a code generation technique that utilizes graph traversal algorithms. Together, with CSDL, this method bears similarities to reverse-mode algorithmic differentiation but has notable differences such as the application of the implicit function theorem and the use of hybrid dense-sparse linear algebra. The proposed method shows an order of magnitude improvement in computation time compared to the previous compiler. The results indicate that this method is an effective method for sensitivity analysis of large-scale MDO models that achieves both efficiency and automation.

关键词： Sensitivity Analysis multidisciplinary design and optimization OpenMDAO Scientific Computing Python Support Vector Machine Data Structures Vortex Lattice Method Neural Networks Blade Element Momentum Theory

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multidisciplinary design optimization of an Active Debris Removal Mission Architecture via Electric Propulsion

Multidisciplinary Design Optimization of an Active Debris Re...

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AIAA SciTech Forum

作者： Hofheins, Giuliana C. Kann, Elliot Mayo-Smith, Alexander Haji, Maha N. Petro, Elaine M. Cornell Univ Dept Mech & Aerosp Engn Ithaca NY 14850 USA

ISBN: (数字)9781624107115

ISBN: (纸本)9781624107115

We present a design optimization framework for an active orbital debris removal mission considering both minimizing Life Cycle Cost and mission time to balance the economic feasibility and efficiency of an active debris removal mission. The general concept of operations consists of spacecraft capable of deorbiting 22 identical high-priority debris from sun -synchronous orbit via continuous low thrust from electrostatic thrusters. This modular subsystem framework is proposed and investigated with a fractional factorial design of experiments approach. The single objective optimization minimizes the Life Cycle Cost of the mission through a heuristic-based genetic algorithm, resulting in a 4.12-year, $354 million mission via 5.34 kW xenon Hall thrusters. We present Pareto fronts generated by a multiobjective weighted sum genetic algorithm to highlight the cost and time objective space for both a nominal and expensive xenon price per kilogram to show how the design space fluctuates with xenon price volatility. Xenon Hall thrusters dominate the Pareto front, with moderate power thrusters minimizing Life Cycle Cost while meeting time constraints. High-power 8 kW xenon Hall thrusters are proven to be in closest proximity to the utopia of the multiobjective design space with a cost of $687 million and mission time of 1 year. High-power krypton Hall thrusters prove to offer a comparable alternative to xenon systems.

关键词： multidisciplinary design and optimization Active Debris Removal High Power Electric Propulsion Gridded Ion Thruster Genetic Algorithm Sun Synchronous Orbit Fractional Factorial design Xenon Propellants Radiators Propulsion and Power

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