Source: Materials Performance and Characterization. Unidades: EESC, IQSC
Subjects: TÊMPERA, TRANSFERÊNCIA DE CALOR, MATERIAIS, ÓLEO DE SOJA
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FRIED, Zoltán et al. Parallelized particle swarm optimization to estimate the heat transfer coefficients of palm oil, canola oil, conventional, and accelerated petroleum oil quenchants. Materials Performance and Characterization, v. 8, n. 2, p. 894-903, 2019Tradução . . Disponível em: https://doi.org/10.1520/MPC20180049. Acesso em: 30 ago. 2024.APA
Fried, Z., Felde, I., Otero, R. L. S., Viscaino, J. M., Totten, G. E., & Canale, L. de C. F. (2019). Parallelized particle swarm optimization to estimate the heat transfer coefficients of palm oil, canola oil, conventional, and accelerated petroleum oil quenchants. Materials Performance and Characterization, 8( 2), 894-903. doi:10.1520/MPC20180049NLM
Fried Z, Felde I, Otero RLS, Viscaino JM, Totten GE, Canale L de CF. Parallelized particle swarm optimization to estimate the heat transfer coefficients of palm oil, canola oil, conventional, and accelerated petroleum oil quenchants [Internet]. Materials Performance and Characterization. 2019 ; 8( 2): 894-903.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1520/MPC20180049Vancouver
Fried Z, Felde I, Otero RLS, Viscaino JM, Totten GE, Canale L de CF. Parallelized particle swarm optimization to estimate the heat transfer coefficients of palm oil, canola oil, conventional, and accelerated petroleum oil quenchants [Internet]. Materials Performance and Characterization. 2019 ; 8( 2): 894-903.[citado 2024 ago. 30 ] Available from: https://doi.org/10.1520/MPC20180049