Year 2022,
, 29 - 35, 27.12.2022
Ramazan Emre Oduncuoglu
,
Murat Oduncuoglu
References
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- [2]. Bartels-Rausch, T., et al., Ice structures, patterns, and processes: A view across the icefields. Reviews of Modern Physics, 2012. 84(2): p. 885.
- [3]. Fang, C., et al., The accurate calculation of the band gap of liquid water by means of GW corrections applied to plane-wave density functional theory molecular dynamics simulations. Physical Chemistry Chemical Physics, 2015. 17(1): p. 365-375.
- [4]. Zha, C.-S., et al., Optical study of H 2 O ice to 120 GPa: Dielectric function, molecular polarizability, and equation of state. The Journal of chemical physics, 2007. 126(7): p. 074506.
- [5]. Pan, D., Q. Wan, and G. Galli, The refractive index and electronic gap of water and ice increase with increasing pressure. Nature communications, 2014. 5(1): p. 1-6.
- [6]. Yilmaz, N.F., et al., Experimental and theoretical analysis of the welding process parameters for UTS with different methods. Materials Research Express, 2018. 6(1): p. 016524.
- [7]. Tilton, L. and J. Taylor, Refractive index and dispersion of distilled water for visible radiation, at temperatures 0 to 60 C. J. Res. Natl. Bur. Stand., 1938. 20: p. 419-477.
- [8]. Aly, K.M. and E. Esmail, Refractive index of salt water: effect of temperature. Optical Materials, 1993. 2(3): p. 195-199.
- [9]. Lide, D.R., CRC handbook of chemistry and physics. Vol. 85. 2004: CRC press.
- [10]. Bashkatov, A.N. and E.A. Genina. Water refractive index in dependence on temperature and wavelength: a simple approximation. in Saratov Fall Meeting 2002: Optical Technologies in Biophysics and Medicine IV. 2003. International Society for Optics and Photonics.
- [11]. Kohl, M., M. Essenpreis, and M. Cope, The influence of glucose concentration upon the transport of light in tissue-simulating phantoms. Physics in Medicine & Biology, 1995. 40(7): p. 1267.
- [12]. Rol, P.O., Optics for transscleral laser applications. 1991, ETH Zurich.
- [13]. Hecht, E., Optics. 2017: Pearson Education.
- [14]. Ferreira, C., Gene expression programming: mathematical modeling by an artificial intelligence. Vol. 21. 2006: Springer.
- [15]. Koza, J.R. Evolution of subsumption using genetic programming. in Proceedings of the First European Conference on Artificial Life. 1992.
- [16]. Koza, J.R., Genetic programming II. Vol. 17. 1994: MIT press Cambridge.
- [17]. Koza, J.R. and J.R. Koza, Genetic programming: on the programming of computers by means of natural selection. Vol. 1. 1992: MIT press.
- [18]. Goldberg, D.E. and J.H. Holland, Genetic algorithms and machine learning. 1988.
- [19]. Pouraliakbar, H., et al., Predicting the ultimate grain size of aluminum sheets undergone constrained groove pressing. The International Journal of Advanced Manufacturing Technology, 2016. 86(5-8): p. 1639-1658.
- [20]. Kurt, H.I. and M. Oduncuoglu, Formulation of the effect of different alloying elements on the tensile strength of the in situ Al-Mg2Si composites. Metals, 2015. 5(1): p. 371-382.
- [21]. Kurt, H.I., M. Oduncuoglu, and R. Asmatulu, Wear behavior of aluminum matrix hybrid composites fabricated through friction stir welding process. Journal of Iron and Steel Research International, 2016. 23(10): p. 1119-1126
A Simple Expression for the Refractive Index of Distilled Water
Year 2022,
, 29 - 35, 27.12.2022
Ramazan Emre Oduncuoglu
,
Murat Oduncuoglu
Abstract
Water is conceivably the most important material in the universe and most essential to the functioning of all the known life-forms. A simple expression for the real part of refractive index of water was investigated and proposed a new equation as a function of temperature between 0 oC and 100 oC and also wavelength in the range of 200 to 1100 nm. Water is transparent in the visible light and has a complex optical absorption property in the infrared and ultraviolet ranges. The refractive index highly depends on wavelength and temperature. The expression for refractive index is useful for different applications in biomedical optics. The proposed sample has accurate expression, has good agreement, as well as demonstrates increased performance with experimental measurements for calculations of knowledge of the refractive index of water at given ranges.
References
- [1]. French, M. and R. Redmer, Optical properties of water at high temperature. Physics of Plasmas, 2011. 18(4): p. 043301.
- [2]. Bartels-Rausch, T., et al., Ice structures, patterns, and processes: A view across the icefields. Reviews of Modern Physics, 2012. 84(2): p. 885.
- [3]. Fang, C., et al., The accurate calculation of the band gap of liquid water by means of GW corrections applied to plane-wave density functional theory molecular dynamics simulations. Physical Chemistry Chemical Physics, 2015. 17(1): p. 365-375.
- [4]. Zha, C.-S., et al., Optical study of H 2 O ice to 120 GPa: Dielectric function, molecular polarizability, and equation of state. The Journal of chemical physics, 2007. 126(7): p. 074506.
- [5]. Pan, D., Q. Wan, and G. Galli, The refractive index and electronic gap of water and ice increase with increasing pressure. Nature communications, 2014. 5(1): p. 1-6.
- [6]. Yilmaz, N.F., et al., Experimental and theoretical analysis of the welding process parameters for UTS with different methods. Materials Research Express, 2018. 6(1): p. 016524.
- [7]. Tilton, L. and J. Taylor, Refractive index and dispersion of distilled water for visible radiation, at temperatures 0 to 60 C. J. Res. Natl. Bur. Stand., 1938. 20: p. 419-477.
- [8]. Aly, K.M. and E. Esmail, Refractive index of salt water: effect of temperature. Optical Materials, 1993. 2(3): p. 195-199.
- [9]. Lide, D.R., CRC handbook of chemistry and physics. Vol. 85. 2004: CRC press.
- [10]. Bashkatov, A.N. and E.A. Genina. Water refractive index in dependence on temperature and wavelength: a simple approximation. in Saratov Fall Meeting 2002: Optical Technologies in Biophysics and Medicine IV. 2003. International Society for Optics and Photonics.
- [11]. Kohl, M., M. Essenpreis, and M. Cope, The influence of glucose concentration upon the transport of light in tissue-simulating phantoms. Physics in Medicine & Biology, 1995. 40(7): p. 1267.
- [12]. Rol, P.O., Optics for transscleral laser applications. 1991, ETH Zurich.
- [13]. Hecht, E., Optics. 2017: Pearson Education.
- [14]. Ferreira, C., Gene expression programming: mathematical modeling by an artificial intelligence. Vol. 21. 2006: Springer.
- [15]. Koza, J.R. Evolution of subsumption using genetic programming. in Proceedings of the First European Conference on Artificial Life. 1992.
- [16]. Koza, J.R., Genetic programming II. Vol. 17. 1994: MIT press Cambridge.
- [17]. Koza, J.R. and J.R. Koza, Genetic programming: on the programming of computers by means of natural selection. Vol. 1. 1992: MIT press.
- [18]. Goldberg, D.E. and J.H. Holland, Genetic algorithms and machine learning. 1988.
- [19]. Pouraliakbar, H., et al., Predicting the ultimate grain size of aluminum sheets undergone constrained groove pressing. The International Journal of Advanced Manufacturing Technology, 2016. 86(5-8): p. 1639-1658.
- [20]. Kurt, H.I. and M. Oduncuoglu, Formulation of the effect of different alloying elements on the tensile strength of the in situ Al-Mg2Si composites. Metals, 2015. 5(1): p. 371-382.
- [21]. Kurt, H.I., M. Oduncuoglu, and R. Asmatulu, Wear behavior of aluminum matrix hybrid composites fabricated through friction stir welding process. Journal of Iron and Steel Research International, 2016. 23(10): p. 1119-1126