K-0208 Improvement of Convergency in Shape Optimization Scheme by Traction Method

2001 ◽  
Vol V.01.1 (0) ◽  
pp. 39-40
Author(s):  
Kenzen TAKEUCHI ◽  
Hideyuki AZEGAMI
Keyword(s):  
Shape Optimization ◽  
Optimization Scheme ◽  
Traction Method

Network Redundancy: A Key Design Factor for Cooling Networks

2020 ◽  
Author(s):  
Reza Pejman ◽  
Ahmad Raeisi Najafi
Keyword(s):  
Shape Optimization ◽  
Design Optimization ◽  
Cooling Efficiency ◽  
Temperature Uniformity ◽  
Optimization Scheme ◽  
Design Factor ◽  
Numerical Examples ◽  
Optimization Framework ◽  
Hybrid Topology ◽  
Operating Constraints

Abstract Microvascular composite offers a variety of multi-functionality based on the choice of fluid flowing through the embedded microchannels. The design of the microchannel network in microvascular composites is quite challenging. Indeed, the design is often expected to have high cooling efficiency, satisfy the manufacturing and operating constraints, and also have redundancy to increase the temperature uniformity and alleviate the destructive effects of potential microchannel blockage. In this study, we present a design optimization framework to satisfy these requirements. We use the Hybrid Topology/Shape (HyTopS) optimization scheme to design a redundant blockage-tolerant cooling network. In this method, the optimizer can change the topology of the design during the shape optimization process. Being able to modify the topology of the network enables the optimizer to provide network redundancy to effectively optimize the design for blockage tolerance. We also solve several numerical examples to show the unique features of the proposed method.

1803 Shape Optimization of Neuman Boudary by Using the Traction Method

2007 ◽  
Vol 2007.20 (0) ◽  
pp. 109-110
Author(s):  
Masatoshi SHIMODA ◽  
Shintaro MOTORA ◽  
Hideyuki AZEGAMI
Keyword(s):  
Shape Optimization ◽  
Traction Method

A gradient-based shape optimization scheme using an interface-enriched generalized FEM

2015 ◽  
Vol 296 ◽  
pp. 1-17 ◽  
Author(s):  
Ahmad R. Najafi ◽  
Masoud Safdari ◽  
Daniel A. Tortorelli ◽  
Philippe H. Geubelle
Keyword(s):  
Shape Optimization ◽  
Optimization Scheme ◽  
Generalized Fem ◽  
Gradient Based

On the discrete variant of the traction method in parameter-free shape optimization

2014 ◽  
Vol 278 ◽  
pp. 119-144 ◽  
Author(s):  
Stefan Riehl ◽  
Jan Friederich ◽  
Michael Scherer ◽  
Ralf Meske ◽  
Paul Steinmann
Keyword(s):  
Shape Optimization ◽  
Traction Method

Stator tooth shape optimization for double salient hybrid excitation generator based on asymmetric circuit analysis

2019 ◽  
Vol 38 (6) ◽  
pp. 1738-1755 ◽  
Author(s):  
Shuchun Yao ◽  
Wei Zhang
Keyword(s):  
Shape Optimization ◽  
Optimization Scheme ◽  
Voltage Fluctuation ◽  
Tooth Shape ◽  
Content Type ◽  
Dc Voltage ◽  
Excitation Generator ◽  
Finite Element Analysis Simulation ◽  
Hybrid Excitation ◽  
The Asymmetry

Purpose This paper aims to clarify the relationship between stator tooth shape and DC voltage fluctuation of a double salient hybrid excitation generator (DSHEG). It analyzes the asymmetrical characteristics of the magnetic circuit and inductance between each phase. The study aims to reduce voltage fluctuation by using a stator shape optimization scheme, which helps reducing inductance difference. Design/methodology/approach This paper opted for a method combined with theoretical analysis, simulation and experimental verification. The stator tooth optimization scheme is given based on theoretical asymmetrical analysis and Taguchi method. A series of two-dimensional finite element analysis simulation of different conditions are conducted. Two prototypes with different stator tooth shape are made and experiments are carried out. Findings The paper provides empirical insights into how the stator tooth shape influences the asymmetry of inductance and DC voltage fluctuation. Compensation adjustments to the stator tooth shape can narrow the inductance differences of each phase. It suggests that “LTL” shaped DSHEG has lower voltage ripple than “III” shaped DSHEG without sacrificing output power. Research limitations/implications Because of the chosen research approach, the gap between magnets and stator and end effect are not considered. Errors exist between simulation and experimental results. Practical implications The paper includes implications for other “C” shaped tooth optimization. Study on phase asymmetry of the special machine can further improve quality testing and simplify control strategy. Originality/value This paper analyzes the asymmetry of DSHEG and proposes an optimized stator tooth shape to reduce DC voltage fluctuation.

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