Integrated Multidisciplinary Design and Optimization Methodologies in Electronics Packaging: State-of-the-Art Review

2006 ◽  
Author(s):  
Tohru Suwa ◽  
Hamid Hadim
Keyword(s):  
State Of The Art ◽  
Design Procedure ◽  
Computation Time ◽  
Automated Design ◽  
Electronics Packaging ◽  
Optimization Techniques ◽  
Multidisciplinary Optimization ◽  
Multidisciplinary Design ◽  
Design Environment ◽  
Design And Optimization

Electronic packaging design is a process that requires optimized solutions based on multidisciplinary design tradeoffs, which usually have complicated relations among multiple design variables. Required numerical analyses such as thermal and thermo-mechanical have hampered this multidisciplinary optimization process because of their time intensive modeling and computation time. This paper presents a state-of-the-art overview of recent multidisciplinary design and optimization methodologies in electronics packaging. The reported methodologies are divided into tow groups: (1) integrated multidisciplinary CAD environment, and (2) automated design and optimization techniques. A semi-automated design environment, which includes graphical user interface, modeling, and simulation, enhances the design procedure in the first group. Fully automated design optimization methodologies are used for various design applications in the second group. 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. Advantages as well as disadvantages of these methods are discussed.

Multidisciplinary Design and Optimization Methodologies in Electronics Packaging: State-of-the-Art Review

2008 ◽  
Vol 130 (3) ◽  
Author(s):  
Hamid Hadim ◽  
Tohru Suwa
Keyword(s):  
Design Optimization ◽  
State Of The Art ◽  
Automated Design ◽  
Electronics Packaging ◽  
Optimization Techniques ◽  
Operating Conditions ◽  
Multidisciplinary Design ◽  
Optimal Placement ◽  
Design And Optimization ◽  
Trade Offs

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.

Automated Design Tool for Automotive Control Actuators

2020 ◽  
Author(s):  
Cyril Picard ◽  
Jürg Schiffmann
Keyword(s):  
Automotive Industry ◽  
State Of The Art ◽  
Automated Design ◽  
Design Tool ◽  
System Level ◽  
Laptop Computer ◽  
Automotive Control ◽  
Design And Optimization ◽  
Reporting Tool ◽  
The Impact

Abstract Automated design tools are seldom used in industry. Their potential, however, is high, especially in companies mostly active in variant design, where custom tools could help cut down development time in the early stages. The design of geared electro-mechanical actuators for the automotive industry is such a case. These actuators are simple examples of coupled multi-disciplinary systems that can be hard to design, since they need to follow strict specifications in terms of performance and packaging. This paper presents an automated design and optimization tool tailored for such systems based on an integrated modeling approach, multi-objective optimization and an interactive reporting tool. The focus is set on the impact of system-level constraints on the usability by industry of the generated designs. In two case studies, the tool is able to find competitive actuator candidates that are cheaper (−3.6% and −11%) and more compact than similar existing products in less than an hour on a state-of-the-art laptop computer. More powerful options or actuators using different technologies have also been proposed. Compared to optimizations done without system-level constraints, the generated actuators are immediately usable by engineers to get accurate insights into the design problem and promote informed decision-making.

scholarly journals Metamodel-based multidisciplinary design optimization methods for aerospace system

Astrodynamics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 185-215
Author(s):  
Renhe Shi ◽  
Teng Long ◽  
Nianhui Ye ◽  
Yufei Wu ◽  
Zhao Wei ◽  
...  
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Computational Cost ◽  
Optimization Methods ◽  
Problem Formulation ◽  
Black Box ◽  
Optimization Techniques ◽  
Multidisciplinary Optimization ◽  
Multidisciplinary Design ◽  
Aerospace Systems

AbstractThe design of complex aerospace systems is a multidisciplinary design optimization (MDO) problem involving the interaction of multiple disciplines. However, because of the necessity of evaluating expensive black-box simulations, the enormous computational cost of solving MDO problems in aerospace systems has also become a problem in practice. To resolve this, metamodel-based design optimization techniques have been applied to MDO. With these methods, system models can be rapidly predicted using approximate metamodels to improve the optimization efficiency. This paper presents an overall survey of metamodel-based MDO for aerospace systems. From the perspective of aerospace system design, this paper introduces the fundamental methodology and technology of metamodel-based MDO, including aerospace system MDO problem formulation, metamodeling techniques, state-of-the-art metamodel-based multidisciplinary optimization strategies, and expensive black-box constraint-handling mechanisms. Moreover, various aerospace system examples are presented to illustrate the application of metamodel-based MDOs to practical engineering. The conclusions derived from this work are summarized in the final section of the paper. The survey results are expected to serve as guide and reference for designers involved in metamodel-based MDO in the field of aerospace engineering.

Multidisciplinary Design and Optimization for Fluid-Structure Interactions

2002 ◽  
Author(s):  
Franco Mastroddi ◽  
Claudia Bonelli ◽  
Luigi Morino ◽  
Giovanni Bernardini
Keyword(s):  
Incompressible Flow ◽  
Multidisciplinary Optimization ◽  
Multidisciplinary Design ◽  
Preliminary Design ◽  
Fluid Structure Interactions ◽  
Design And Optimization ◽  
Induced Drag ◽  
Introductory Overview ◽  
Modeling Techniques ◽  
Numerical Formulation

The paper presents an introductory overview of modeling techniques used by the authors for MDO–PD (MultiDisciplinary Optimization – Preliminary Design). The algorithms used by the authors in their MDO–PD code for modeling aerodynamics and aeroelasticity are reviewed. For the aerodynamic analysis, a boundary–element potential–flow method is used (for simplicity, only the incompressible–flow formulation is presented). The methodology is geared specifically towards MDO–PD for civilian aircraft. The numerical formulation is applied to a specific, highly–innovative aircraft configuration proposed by Frediani, which has, as a distinguishing feature, a low induced drag. A comparison with an MDO-PD of a standard wing configuration has been included.

LGA Connectors: An Automated Design Technique for a Shrinking Design Space

2000 ◽  
Vol 122 (3) ◽  
pp. 247-254 ◽  
Author(s):  
A. Deshpande ◽  
G. Subbarayan
Keyword(s):  
Finite Element ◽  
Nonlinear Optimization ◽  
Optimization Problem ◽  
Design Procedure ◽  
Automated Design ◽  
Optimization Techniques ◽  
Circuit Board ◽  
Element Analysis ◽  
Initial Design ◽  
Design Requirements

The ever-increasing demand for higher-density interconnection between a multi-chip module and the printed circuit board has resulted in the emergence of Land-Grid Array (LGA) connectors as an alternative to the traditional pin and socket area-array connectors. The design of high-density land-grid array connectors involves trade-off between conflicting performance requirements on the normal force, wipe, bulk resistance, contact resistance, stress, contact z-dimensional thickness, and z-compression. These stringent design requirements have significantly shrunk the space of viable designs and have necessitated automated search procedures for finding designs that satisfy the design requirements. In this paper, such an automated design procedure based on nonlinear optimization techniques is presented. The design procedure includes a general shape representation scheme based on B-spline curves and a set of programs for carrying out automated nonlinear elastic-plastic-contact finite element analysis (for a given shape) using a commercial finite element code. This automated analysis procedure is coupled with a nonlinear optimization code to carryout optimal design of LGA connectors. The design of LGA connectors is mathematically formulated as an optimization problem and nine different design cases (with representative dimensions and material) are solved to determine the influence of initial design and optimization problem formulation. It is shown that better solutions (with less stress) result if both the width and the thickness of the contacts are allowed to vary. In general, the choice of initial design strongly influences the optimal solution. A triply-curved symmetric contact shape is shown to produce the least stress of three possible common LGA shape designs. [S1043-7398(00)00403-5]

scholarly journals A Systematic Equalizer Design Technique Using Backward Directional Design

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1053
Author(s):  
Ji
Keyword(s):  
Design Methodology ◽  
Design Method ◽  
Design Procedure ◽  
Automated Design ◽  
Design Technique ◽  
Design Environment ◽  
Crosstalk Cancellation

This paper presents a systematic equalizer design methodology using a backward directional design (BDD). The proposed design method includes pre-emphasis and crosstalk cancellation design and offers a proper waveform solution for transmitters (TX). Since it is driven by a user-defined specification, it avoids over/under design, reducing wasted power. Furthermore, the proposed design procedure is summarized in systematic algorithms and provides an automated design environment. The procedure has been tested for various line conditions to verify the algorithms. The result shows that the proposed method successfully designs equalizers to within a 2.4% error.

Application of Computational Mechanics to Tire Design—Yesterday, Today, and Tomorrow

2011 ◽  
Vol 39 (4) ◽  
pp. 223-244 ◽  
Author(s):  
Y. Nakajima
Keyword(s):  
Finite Element ◽  
New Technologies ◽  
Computational Mechanics ◽  
Design Procedure ◽  
Side Wall ◽  
Rolling Resistance ◽  
Optimization Techniques ◽  
Stress Strain ◽  
Element Analysis ◽  
Crown Shape

Abstract The tire technology related with the computational mechanics is reviewed from the standpoint of yesterday, today, and tomorrow. Yesterday: A finite element method was developed in the 1950s as a tool of computational mechanics. In the tire manufacturers, finite element analysis (FEA) was started applying to a tire analysis in the beginning of 1970s and this was much earlier than the vehicle industry, electric industry, and others. The main reason was that construction and configurations of a tire were so complicated that analytical approach could not solve many problems related with tire mechanics. Since commercial software was not so popular in 1970s, in-house axisymmetric codes were developed for three kinds of application such as stress/strain, heat conduction, and modal analysis. Since FEA could make the stress/strain visible in a tire, the application area was mainly tire durability. Today: combining FEA with optimization techniques, the tire design procedure is drastically changed in side wall shape, tire crown shape, pitch variation, tire pattern, etc. So the computational mechanics becomes an indispensable tool for tire industry. Furthermore, an insight to improve tire performance is obtained from the optimized solution and the new technologies were created from the insight. Then, FEA is applied to various areas such as hydroplaning and snow traction based on the formulation of fluid–tire interaction. Since the computational mechanics enables us to see what we could not see, new tire patterns were developed by seeing the streamline in tire contact area and shear stress in snow in traction.Tomorrow: The computational mechanics will be applied in multidisciplinary areas and nano-scale areas to create new technologies. The environmental subjects will be more important such as rolling resistance, noise and wear.

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