Improved design optimization approach for high efficiency matching networks

Small scale turbomachines in domestic heat pumps reach high efficiency and provide oil-free solutions which improve heat-exchanger performance and offer major advantages in the design of advanced thermodynamic cycles. An appropriate turbocompressor for domestic air based heat pumps requires the ability to operate on a wide range of inlet pressure, pressure ratios and mass flows, confronting the designer with the necessity to compromise between range and efficiency. Further the design of small-scale direct driven turbomachines is a complex and interdisciplinary task. Textbook design procedures propose to split such systems into subcomponents and to design and optimize each element individually. This common procedure, however, tends to neglect the interactions between the different components leading to suboptimal solutions. The authors propose an approach based on the integrated philosophy for designing and optimizing gas bearing supported, direct driven turbocompressors for applications with challenging requirements with regards to operation range and efficiency. Using previously validated reduced order models for the different components an integrated model of the compressor is implemented and the optimum system found via multi-objective optimization. It is shown that compared to standard design procedure the integrated approach yields an increase of the seasonal compressor efficiency of more than 12 points. Further a design optimization based sensitivity analysis allows to investigate the influence of design constraints determined prior to optimization such as impeller surface roughness, rotor material and impeller force. A relaxation of these constrains yields additional room for improvement. Reduced impeller force improves efficiency due to a smaller thrust bearing mainly, whereas a lighter rotor material improves rotordynamic performance. A hydraulically smoother impeller surface improves the overall efficiency considerably by reducing aerodynamic losses. A combination of the relaxation of the 3 design constraints yields an additional improvement of 6 points compared to the original optimization process. The integrated design and optimization procedure implemented in the case of a complex design problem thus clearly shows its advantages compared to traditional design methods by allowing a truly exhaustive search for optimum solutions throughout the complete design space. It can be used for both design optimization and for design analysis.

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Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System

Journal of Marine Science and Engineering ◽

10.3390/jmse9050478 ◽

2021 ◽

Vol 9 (5) ◽

pp. 478

Author(s):

Hao Chen ◽

Weikun Li ◽

Weicheng Cui ◽

Ping Yang ◽

Linke Chen

Keyword(s):

Design Optimization ◽

Optimization Algorithm ◽

Multidisciplinary Design Optimization ◽

Robotic Fish ◽

Multidisciplinary Design ◽

Optimization Approach ◽

Multi Objective Optimization ◽

Multi Objective ◽

Cfd Method ◽

The Individual

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design optimization of robotic fish is rare. In this paper, by combining an efficient multidisciplinary design optimization approach and a novel multi-objective optimization algorithm, a multi-objective multidisciplinary design optimization (MMDO) strategy named IDF-DMOEOA is proposed for the conceptual design of a three-joint robotic fish system. In the proposed IDF-DMOEOA strategy, the individual discipline feasible (IDF) approach is adopted. A novel multi-objective optimization algorithm, disruption-based multi-objective equilibrium optimization algorithm (DMOEOA), is utilized as the optimizer. The proposed MMDO strategy is first applied to the design optimization of the robotic fish system, and the robotic fish system is decomposed into four disciplines: hydrodynamics, propulsion, weight and equilibrium, and energy. The computational fluid dynamics (CFD) method is employed to predict the robotic fish’s hydrodynamics characteristics, and the backpropagation neural network is adopted as the surrogate model to reduce the CFD method’s computational expense. The optimization results indicate that the optimized robotic fish shows better performance than the initial design, proving the proposed IDF-DMOEOA strategy’s effectiveness.

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Optimization of Data Center Room Layout to Minimize Rack Inlet Air Temperature

Advances in Electronic Packaging, Parts A, B, and C ◽

10.1115/ipack2005-73027 ◽

2005 ◽

Cited By ~ 21

Author(s):

Siddharth Bhopte ◽

Dereje Agonafer ◽

Roger Schmidt ◽

Bahgat Sammakia

Keyword(s):

Design Optimization ◽

Air Temperature ◽

Data Center ◽

Floor Tile ◽

Optimization Approach ◽

Wrong Decision ◽

Air Temperatures ◽

Variable Approach ◽

Entire Height ◽

Facility Manager

In a typical raised floor data center with alternating hot and cold aisles, air enters the front of each rack over the entire height of the rack. Since the heat loads of data processing equipment continues to increase at a rapid rate, it is a challenge to maintain the temperature within the requirements as stated for all the racks within the data center. A facility manager has discretion in deciding the data center room layout, but a wrong decision will eventually lead to equipment failure. There are many complex decisions to be made early in the design as the data center evolves. Challenges occur such as optimizing the raised floor plenum, floor tile placement, minimizing the data center local hot spots etc. These adjustments in configuration affects rack inlet air temperatures which is one of the important key to effective thermal management. In this paper, a raised floor data center with 4.5 kW racks is considered. There are four rows of racks with alternating hot and cold aisle arrangement. Each row has six racks installed. Two CRAC units supply chilled air to the data center through the pressurized plenum. Effect of plenum depth, floor tile placement and ceiling height on the rack inlet air temperature is discussed. Plots will be presented over the defined range. Now a multi-variable approach to optimize data center room layout to minimize the rack inlet air temperature is proposed. Significant improvement over the initial model is shown by using multi-variable design optimization approach. The results of multi-variable design optimization are used to present guidelines for optimal data center performance.

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High-efficiency design optimization of a centrifugal pump

Journal of Mechanical Science and Technology ◽

10.1007/s12206-016-0803-4 ◽

2016 ◽

Vol 30 (9) ◽

pp. 3917-3927 ◽

Cited By ~ 11

Author(s):

Man-Woong Heo ◽

Sang-Bum Ma ◽

Hyeon-Seok Shim ◽

Kwang-Yong Kim

Keyword(s):

Design Optimization ◽

Centrifugal Pump ◽

High Efficiency

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A Shuffled Frog Leaping Algorithm for Solving Vehicle Routing Problem

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.197.529 ◽

2012 ◽

Vol 197 ◽

pp. 529-533 ◽

Cited By ~ 1

Author(s):

Kai Ping Luo

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

High Efficiency ◽

Heuristic Optimization ◽

Optimization Approach ◽

Shuffled Frog Leaping Algorithm ◽

Routing Problem ◽

Shuffled Frog Leaping ◽

Encoding Method ◽

Nearest Neighborhood

For vehicle routing problem, its model is easy to state and difficult to solve. The shuffled frog leaping algorithm is a novel meta-heuristic optimization approach and has strong quickly optimal searching power. The paper applies herein this algorithm to solve the vehicle routing problem; presents a high-efficiency encoding method based on the nearest neighborhood list; improves evolution strategies of the algorithm in order to keep excellent characteristics of the best frog. This proposed algorithm provides a new idea for solving VRP.

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Robot Path Planning and Obstacle Avoidance: A Design Optimization Approach

15th Design Automation Conference: Volume 2 — Design Optimization ◽

10.1115/detc1989-0087 ◽

1989 ◽

Author(s):

E. Sandgren ◽

S. Venkataraman

Keyword(s):

Path Planning ◽

Design Optimization ◽

Dynamic Programming Algorithm ◽

Three Dimensional ◽

Programming Algorithm ◽

Optimization Approach ◽

Robot Arm ◽

Robot Path Planning ◽

Real Time Control ◽

Robot Path

Abstract A design optimization approach to robot path planning in a two dimensional workplace is presented. Obstacles are represented as a series of rectangular regions and collision detection is performed by an operation similar to clipping in computer graphics. The feasible design space is approximated by a discrete set of robot arm and gripper positions. Control is applied directly through the angular motion of each link. Feasible positions which are located between the initial and final robot link positions are grouped into stages. A dynamic programming algorithm is applied to locate the best state within each stage which minimizes the overall path length. An example is presented involving a three link planar manipulator. Extensions to three dimensional robot path planning and real time control in a dynamically changing workplace are discussed.

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Design optimization approach comparing multicriterial variants using BIM in early design stages

10.22260/isarc2021/0034 ◽

2021 ◽

Author(s):

Kasimir Forth ◽

Jimmy Abualdenien ◽

André Borrmann ◽

Sabrina Fellermann ◽

Christian Schunicht

Keyword(s):

Design Optimization ◽

Optimization Approach ◽

Early Design ◽

Early Design Stages

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