Estimation of uncertain parameters for thermal and fluid analysis in engine room of construction machinery using data assimilation

Kazuya Kusano, Hironobu Yamakawa, Kunihiko Ikeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Recently, the cooling system of hydraulic excavator is often designed using the thermal and fluid analysis to improve the cooling performance. The reliability of the analysis results is important, since it directly influences on the efficiency of development. In the present study, the uncertain parameters were estimated using the data assimilation method to increase the reliability of the thermal and fluid analysis in an engine room of a hydraulic excavator. The ensemble Kalman filter (EnKF) was adapted as a data assimilation method, and the thermal and fluid analysis was conducted with the three-dimensional steady simulation based on the Reynolds-average Navier-Stokes equations. The estimated parameters were set to the total heat quantities released by heat exchangers and the flow rates of the coolants. The total heat quantity is a parameter used for the heat release calculation of a heat exchanger, and the flow rate of a coolant is specified at the inlet boundary. As measurement data, temperatures of coolants which were measured at the upstream and downstream of the heat exchangers were used. Initial parameters were generated by setting parameter values in a random manner. The simulation using estimated parameters successfully predicted temperatures at the heat exchangers, where the maximum error was 3K. In addition, the reductions of the standard deviations of the uncertain parameters were confirmed. That means the reliability of the simulation was increased.

Original languageEnglish
Title of host publicationSymposia
Subtitle of host publicationTurbomachinery Flow Simulation and Optimization; Applications in CFD; Bio-Inspired and Bio-Medical Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES and Hybrid RANS/LES Methods; Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Applications in Aerospace; Active Fluid Dynamics and Flow Control - Theory, Experiments and Implementation
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791850282
DOIs
Publication statusPublished - Jan 1 2016
Externally publishedYes
EventASME 2016 Fluids Engineering Division Summer Meeting, FEDSM 2016, collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels - Washington, United States
Duration: Jul 10 2016Jul 14 2016

Publication series

NameAmerican Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM
Volume1A-2016
ISSN (Print)0888-8116

Other

OtherASME 2016 Fluids Engineering Division Summer Meeting, FEDSM 2016, collocated with the ASME 2016 Heat Transfer Summer Conference and the ASME 2016 14th International Conference on Nanochannels, Microchannels, and Minichannels
CountryUnited States
CityWashington
Period7/10/167/14/16

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering

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    Kusano, K., Yamakawa, H., & Ikeda, K. (2016). Estimation of uncertain parameters for thermal and fluid analysis in engine room of construction machinery using data assimilation. In Symposia: Turbomachinery Flow Simulation and Optimization; Applications in CFD; Bio-Inspired and Bio-Medical Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES and Hybrid RANS/LES Methods; Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Applications in Aerospace; Active Fluid Dynamics and Flow Control - Theory, Experiments and Implementation (American Society of Mechanical Engineers, Fluids Engineering Division (Publication) FEDSM; Vol. 1A-2016). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/FEDSM2016-7898