Design Optimization at the Fluid-Level Synthesis for Safe and Low-Cost Droplet-Based Microfluidic Biochips

2018 ◽  
Author(s):  
Arpan Chakraborty ◽  
Piyali Datta ◽  
Rajat Kumar Pal
Keyword(s):  
Design Optimization ◽  
Low Cost ◽  
Fluid Level ◽  
Microfluidic Biochips

Improved Trust Region Model Management for Approximate Optimization

1998 ◽  
Author(s):  
Brett A. Wujek ◽  
John E. Renaud
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Low Cost ◽  
Approximation Error ◽  
Trust Region ◽  
Model Management ◽  
Multidisciplinary Design ◽  
Test Problems ◽  
Approximation Techniques ◽  
Approximate Optimization

Abstract Approximations play an important role in multidisciplinary design optimization (MDO) by offering system behavior information at a relatively low cost. Most approximate optimization strategies are sequential in which an optimization of an approximate problem subject to design variable move limits is iteratively repeated until convergence. The move limits are imposed to restrict the optimization to regions of the design space in which the approximations provide meaningful information. In order to insure convergence of the sequence of approximate optimizations to a Karush Kuhn Tucker solution a move limit management strategy is required. In this paper, issues of move-limit management are reviewed and a new adaptive strategy for move limit management is developed. With its basis in the provably convergent trust region methodology, the TRAM (Trust region Ratio Approximation Method) strategy utilizes available gradient information and employs a backtracking process using various two-point approximation techniques to provide a flexible move-limit adjustment factor. The new strategy is successfully implemented in application to a suite of multidisciplinary design optimization test problems. These implementation studies highlight the ability of the TRAM strategy to control the amount of approximation error and efficiently manage the convergence to a Karush Kuhn Tucker solution.

Analysis and design optimization of a low-cost axial flux Vernier machine with SMC cores and ferrite magnets

2020 ◽  
Vol 102 (4) ◽  
pp. 2595-2604
Author(s):  
Chengcheng Liu ◽  
Kelin Wang ◽  
Shaopeng Wang ◽  
Feng Niu ◽  
Youhua Wang
Keyword(s):  
Design Optimization ◽  
Low Cost ◽  
Axial Flux ◽  
Analysis And Design

Testing of Low-cost Digital Microfluidic Biochips with Non-Regular Array Layouts

2011 ◽  
Vol 28 (2) ◽  
pp. 243-255 ◽  
Author(s):  
Yang Zhao ◽  
Krishnendu Chakrabarty ◽  
Bhargab B. Bhattacharya
Keyword(s):  
Low Cost ◽  
Regular Array ◽  
Microfluidic Biochips ◽  
Digital Microfluidic
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