Design optimization, sensitivity analysis and operational comparison of a duplex helical elliptical tube metal hydride reactor

2020 ◽  
Vol 4 (11) ◽  
pp. 5851-5868
Author(s):  
Di Wang ◽  
Shanshan Li ◽  
Zhuonan Huang ◽  
Zhiru Liu ◽  
Yuqi Wang ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Design Optimization ◽  
Metal Hydride ◽  
Projected Area ◽  
Design Factor ◽  
Tube Metal

The outstanding performance of DHER is confirmed and the radial projected area of its tubes is determined as the key design factor.

Design optimization and sensitivity analysis of the radiation mini-channel metal hydride reactor

Energy ◽  
2019 ◽  
Vol 173 ◽  
pp. 443-456 ◽  
Author(s):  
Di Wang ◽  
Yuqi Wang ◽  
Zhuonan Huang ◽  
Fusheng Yang ◽  
Zhen Wu ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Design Optimization ◽  
Metal Hydride

Sensitivity Analysis of Flexible Multibody Systems Based on the Motion Formalism and the Discrete Adjoint Method

2018 ◽  
Author(s):  
Alfonso Callejo ◽  
Valentin Sonneville ◽  
Olivier A. Bauchau
Keyword(s):  
Sensitivity Analysis ◽  
Design Optimization ◽  
Cross Sections ◽  
Adjoint Method ◽  
Optimization Methods ◽  
Sensitivity Analyses ◽  
Discrete Adjoint ◽  
Discrete Adjoint Method ◽  
Flexible Multibody ◽  
Forward Equations

The combination of analysis and optimization methods in mechanical engineering, also known as design optimization, has great potential in product development. Robust sensitivity analyses that provide reliable and efficient objective function gradients play a key role in design optimization. This paper presents a discrete adjoint method for the sensitivity analysis of flexible mechanical systems. The ultimate goal is to be able to relate the physical properties of beam cross-sections to the dynamic behavior of the system, which is key to design realistic flexible elements. The underlying flexible multibody formulation is one that supports large-amplitude motion, beams with sophisticated composite cross-sections, and kinematic joints. A summary of the kinematic and dynamic foundations of the forward equations is presented first. Then, a discrete adjoint method, along with meaningful examples and validation, is presented. The method has proven to provide extremely accurate and reliable sensitivities.

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.

Sign in / Sign up

Export Citation Format

Share Document