Journal Published Online: 31 January 2019
Volume 8, Issue 2

Parallelized Particle Swarm Optimization to Estimate the Heat Transfer Coefficients of Palm Oil, Canola Oil, Conventional, and Accelerated Petroleum Oil Quenchants

CODEN: MPCACD

Abstract

An inverse solver for the estimation of the temporal-spatial heat transfer coefficients (HTC), without using prior information of the thermal boundary conditions, was used for immersion quenching into palm oil, canola oil, and two commercial petroleum oil quenchants. The particle swarm optimization (PSO) method was used on near-surface temperature-time cooling curve data obtained with the so-called Tensi multithermocouple, and a 12.5 by 45 mm Inconel 600 probe. The fitness function to be minimized by a PSO approach is defined by the deviation of the measured and calculated cooling curves. The PSO algorithm was parallelized and implemented on a graphics accelerator architecture. This article describes, in detail, the PSO methodology used to compare and differentiate the potential quenching properties attainable with vegetable oils versus those attainable with accelerated and conventional petroleum oil quenchant.

Author Information

Fried, Zoltán
John von Neumann Faculty of Informatics, Budapest, Hungary
Felde, Imre
John von Neumann Faculty of Informatics, Budapest, Hungary
Simencio Otero, Rosa L.
Department of Materials Engineering, São Carlos School of Engineering, University of São Paulo, Av. João Dagnone, SP, Brazil
Viscaino, Jônatas M.
Department of Materials Engineering, São Carlos School of Engineering, University of São Paulo, Av. João Dagnone, SP, Brazil
Totten, George E.
Department of Mechanical and Materials Engineering, Portland State University, Portland, Portland, OR, USA
Canale, Lauralice C. F.
Department of Materials Engineering, São Carlos School of Engineering, University of São Paulo, Av. João Dagnone, SP, Brazil
Pages: 18
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Stock #: MPC20180049
ISSN: 2379-1365
DOI: 10.1520/MPC20180049