Multi-objective Optimization of a Charge Air Cooler using modeFRONTIER

Stephenson, Phil; Chen, Yang; Fateh, Nader; Parashar, Sumeet; Poian, Mauro

doi:10.4271/2008-01-0886

Cited by 8 publications

(3 citation statements)

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“…For example, in this study, the value of (1/(I t /w 0 )) is of an order of magnitude approximately 1/10 lower than the other objectives. Therefore, the value of (1/(I t /w 0 )) is multiplied by 10 in the optimization process to bring all objectives to the same order of magnitude and to achieve the most optimal solution [57]. This incorporation of scaled terms enables comparable effects of the objectives in the optimization process.…”

Section: Optimization Of the Hybrid Last-stage Launch Vehiclementioning

confidence: 99%

“…The optimization process aims to minimize or maximize the objective functions while satisfying the constraints and requirements to obtain a feasible solution. For this study, the modeFRONTIER 2019R1 optimization software is utilized as a multidisciplinary optimization solver, equipped with an automatic framework [57]. The flow scheme of the multi-objective multidisciplinary optimization process, along with the steps involved in solving the optimization problem, is illustrated in Figure 4.…”

Section: Optimization Of the Hybrid Last-stage Launch Vehiclementioning

confidence: 99%

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Comprehensive Six-Degrees-of-Freedom Trajectory Design and Optimization of a Launch Vehicle with a Hybrid Last Stage Using the PSO Algorithm

Aksen,

Aslan,

Goker

2024

Applied Sciences

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Increased performance with reduced overall cost, and precise design and optimization of launch systems are critical to affordability. In this respect, the use of hybrid motors has increased to ease handling based on motor selection. In the current study, the launch vehicle’s performance is enhanced by incorporating a hybrid rocket motor into the last stage and optimized using particle swarm optimization to develop a six-degrees-of-freedom tool. This modification aims to increase payload placement flexibility, facilitate handling, and reduce costs. Thanks to the interactive subsystems within this research, this innovative study more comprehensively considers the launch vehicle trajectory design problem, allowing the simultaneous consideration of the effect of launch vehicle geometry along with other parameters in the system. In this context, the proposed method is applied to the Minotaur-I launch vehicle, and contributions of the detailed design and optimization are presented. Optimization results show that the percentage differences between these models for the original vehicle were observed to be 11.55% in velocity and 8.02% in altitude. However, there were differences of 10.06% and 48.8%, 15.8% and 23.2%, and 19.5% and 78.9% in altitudes and velocities when the center of gravity and moment of inertia changes were neglected, and constant aerodynamic coefficients were assumed, respectively. In all these cases, it was observed that the flight path angle was not close to zero. Moreover, the same mission was achieved by the launch vehicle with the optimized hybrid last stage and the propulsion performance was increased by about 7.64% based on the specific impulse and total impulse-over-weight ratio.

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Section: Optimization Of the Hybrid Last-stage Launch Vehiclementioning

confidence: 99%

Section: Optimization Of the Hybrid Last-stage Launch Vehiclementioning

confidence: 99%

Comprehensive Six-Degrees-of-Freedom Trajectory Design and Optimization of a Launch Vehicle with a Hybrid Last Stage Using the PSO Algorithm

Aksen,

Aslan,

Goker

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…A multi-objective optimization approach for the parameterization of the 0D SRM has been applied to this research using the modeFRONTIER software [47]. The approach uses evolutionary algorithms and multi-criteria decision making to select one optimal parametrization of the 0D SRM to predict the whole engine operating range [48].…”

Section: Combustion Model Parametrizationmentioning

confidence: 99%

Real-Time Emission Prediction with Detailed Chemistry under Transient Conditions for Hardware-in-the-Loop Simulations

Picerno

Lee

Pasternak³

et al. 2021

Energies

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The increasing requirements to further reduce pollutant emissions, particularly with regard to the upcoming Euro 7 (EU7) legislation, cause further technical and economic challenges for the development of internal combustion engines. All the emission reduction technologies lead to an increasing complexity not only of the hardware, but also of the control functions to be deployed in engine control units (ECUs). Virtualization has become a necessity in the development process in order to be able to handle the increasing complexity. The virtual development and calibration of ECUs using hardware-in-the-loop (HiL) systems with accurate engine models is an effective method to achieve cost and quality targets. In particular, the selection of the best-practice engine model to fulfil accuracy and time targets is essential to success. In this context, this paper presents a physically- and chemically-based stochastic reactor model (SRM) with tabulated chemistry for the prediction of engine raw emissions for real-time (RT) applications. First, an efficient approach for a time-optimal parametrization of the models in steady-state conditions is developed. The co-simulation of both engine model domains is then established via a functional mock-up interface (FMI) and deployed to a simulation platform. Finally, the proposed RT platform demonstrates its prediction and extrapolation capabilities in transient driving scenarios. A comparative evaluation with engine test dynamometer and vehicle measurement data from worldwide harmonized light vehicles test cycle (WLTC) and real driving emissions (RDE) tests depicts the accuracy of the platform in terms of fuel consumption (within 4% deviation in the WLTC cycle) as well as NOx and soot emissions (both within 20%).

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Review on the Usage of the Multiobjective Optimization Package of modeFrontier in the Energy Sector

Mosavi

Rituraj

Várkonyi-Kóczy

2017

Advances in Intelligent Systems and Computing

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Multi-objective Optimization of a Charge Air Cooler using modeFRONTIER

Cited by 8 publications

References 1 publication

Comprehensive Six-Degrees-of-Freedom Trajectory Design and Optimization of a Launch Vehicle with a Hybrid Last Stage Using the PSO Algorithm

Comprehensive Six-Degrees-of-Freedom Trajectory Design and Optimization of a Launch Vehicle with a Hybrid Last Stage Using the PSO Algorithm

Real-Time Emission Prediction with Detailed Chemistry under Transient Conditions for Hardware-in-the-Loop Simulations

Review on the Usage of the Multiobjective Optimization Package of modeFrontier in the Energy Sector

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