scholarly journals A Framework for Multi-Objective Optimization of Plate-Fin Heat Exchangers Using a Detailed Three-Dimensional Simulation Model

2021 ◽  
Vol 5 (4) ◽  
pp. 82
Author(s):  
Patrick Haider ◽  
Paul Heinz ◽  
Thomas Acher ◽  
Sebastian Rehfeldt ◽  
Harald Klein
Keyword(s):  
Heat Exchanger ◽  
Simulation Model ◽  
Degrees Of Freedom ◽  
High Efficiency ◽  
Three Dimensional ◽  
Unit Weight ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimization Routine ◽  
Dimensional Simulation

The design of a multi-stream plate-fin heat exchanger is a highly integrated task with multiple opposing objectives and many degrees of freedom. This work shows how it can be fully or partially automated by the combination of a detailed three-dimensional simulation model and an optimization routine. The desired task is formulated as the target of a multi-objective optimization and solved using a genetic algorithm. The workflow is presented using a cryogenic plate-fin heat exchanger with four process streams. The design is optimized towards high efficiency, low pressure drop, and low unit weight by adjusting the outer geometry, the inlet and outlet distributor configuration, and the detailed stream geometry. A detailed analysis of the Pareto-set gives a good overview of possible solutions, and the optimization routine can automatically find a feasible design with a reasonable tradeoff between the objectives. All elements of the framework are implemented in open source software. A highlight of this research is that a very comprehensive and detailed simulation model is employed in the optimization framework. Thus, the presented method can be easily adjusted to fit the needs of other engineering tasks.

Integrated Design and Multi-Objective Optimization of a Single Stage Heat-Pump Turbocompressor

2013 ◽  
Author(s):  
J. Schiffmann
Keyword(s):  
Design Optimization ◽  
High Efficiency ◽  
Integrated Design ◽  
Heat Pumps ◽  
Small Scale ◽  
Multi Objective Optimization ◽  
Design Constraints ◽  
Multi Objective ◽  
Wide Range ◽  
Standard Design

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.

scholarly journals A Three-Dimensional Numerical and Multi-Objective Optimal Design of Wavy Plate-Fins Heat Exchangers

Processes ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 9
Author(s):  
Chao Yu ◽  
Xiangyao Xue ◽  
Kui Shi ◽  
Mingzhen Shao
Keyword(s):  
Heat Exchangers ◽  
Cfd Simulation ◽  
Three Dimensional ◽  
Basis Functions ◽  
Approximation Model ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Colburn Factor ◽  
Heat Exchange Efficiency

This paper presents a method for optimizing wavy plate-fin heat exchangers accurately and efficiently. It combines CFD simulation, Radical Basis Functions (RBF) with multi-objective optimization to improve the performance. The optimization of the Colburn factor j and the friction coefficient f is regarded as a multi-objective optimization problem, due to the existence of two contradictory goals. The approximation model was obtained by Radical Basis Functions, and the shape of the heat exchanger was optimized by multi-objective genetic algorithm (MOGA). The optimization results showed that j increased by 17.62% and f decreased by 20.76%, indicating that the heat exchange efficiency was significantly enhanced and the fluid structure resistance reduced. Then, from the aspects of field synergy and tubulence energy, the performance advantage of the optimized structure was further confirmed.

scholarly journals RANGE EXTENDER ICE MULTI-PARAMETRIC MULTI-OBJECTIVE OPTIMIZATION

2021 ◽  
Vol 18 (1) ◽  
pp. 10
Author(s):  
Mikuláš Adámek ◽  
Rastislav Toman
Keyword(s):  
Simulation Model ◽  
Combustion Engine ◽  
Raw Materials ◽  
Single Point ◽  
Fuel Efficiency ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Electric Generator ◽  
Design And Optimization ◽  
Multi Objective

Range Extended Electric Vehicles (REEV) are still one of the suitable concepts for modern sustainable low emission vehicles. REEV is equipped with a small and lightweight unit, comprised usually of an internal combustion engine with an electric generator, and has thus the technical potential to overcome the main limitations of a pure electric vehicle – range anxiety, overall driving range, heating, and air-conditioning demands – using smaller battery: saving money, and raw materials. Even though several REx ICE concepts were designed in past, most of the available studies lack more complex design and optimization approach, not exploiting the advantageous single point operation of these engines. Resulting engine designs are usually rather conservative, not optimized for the best efficiency. This paper presents a multi-parametric and multi-objective optimization approach, that is applied on a REx ICE. Our optimization toolchain combines a parametric GT-Suite ICE simulation model, modeFRONTIER optimization software with various optimization strategies, and a parametric CAD model, that first provides some simulation model inputs, and second also serves for the final designs’ feasibility check. The chosen ICE concept is a 90 degrees V-twin engine, four-stroke, spark-ignition, naturally aspirated, port injected, OHV engine. The optimization goal is to find the thermodynamic optima for three different design scenarios of our concept – three different engine displacements – addressing the compactness requirement of a REx ICE. The optimization results show great fuel efficiency potential by applying our optimization methodology, following the general trends in increasing ICE efficiency, and power for a naturally aspirated concept.

scholarly journals SIMULATION MODELING OF INVOLUNTARY HUMAN MOVEMENTS

2019 ◽  
pp. 67-76
Author(s):  
Д.В. Горбунов ◽  
Т.В. Гавриленко
Keyword(s):  
Simulation Model ◽  
Simulation Modeling ◽  
High Efficiency ◽  
Three Dimensional ◽  
Neuromuscular System ◽  
Three Dimensional Modeling ◽  
Dimensional Modeling ◽  
Human Movements ◽  
Human Limb ◽  
Model Algorithm

Разработана математическая и симуляционная модель для моделирования биомеханических движений конечности человека. Разработанный алгоритм модели базируется на биологическом представлении о включении и выключении в процессе удержания положения конечности отдельных мышц или их групп. Работа модели осуществляется за счет генерации случайных чисел (в математической форме симмуляционной модели отсутствуют статические величины). Сравнительный анализ экспериментальных и модельных данных показывает высокую эффективность работы симуляционной модели. Созданная симуляционная модель позволяет изучать принципы работы нервно-мышечной системы. Также модель является масштабируемой, что позволит в дальнейшем перейти к трехмерному моделированию для изучения механизмов самоорганизации биосистемы на уровне и нервно-мышечной системы, и центральной нервной системы. Mathematical and simulation model has been developed for modeling the biomechanical movements of a human limb. The developed model algorithm is based on the biological presentation and shutdown in the process of maintaining the positions of the final individual muscles or their groups. Work in models is due to statistical values. A comparative analysis of experimental and model data shows the high efficiency of the simulation model. The created simulation model allows to study the principles of the neuromuscular system. This model is scalable, which will allow us to switch to three-dimensional modeling to study the signs of self-organization of biosystems at the level of the neuromuscular system and central nervous system.

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