Determination of the Poisson ratio of Dry Ice as a Function of its Density
Main Article Content
Abstract
The Poisson ratio of dry ice in relation to its density was determined in this study. In recent years, many studies have shown that it is meaningful to place some materials under stress paths corresponding to various conditions. However, the deformation evolution of these materials with consideration to their mechanical behaviour and characteristics has rarely been studied. Therefore, knowledge of the Poisson ration allows engineers and scientists predict how materials deform, help to determine material elastic properties, materials compatibility, materials characterization and materials selection and design. The experimental methodology encompassed a comprehensive analysis of dry ice samples with varying densities. A series of controlled compression tests were performed on these samples using specialized equipment. The resulting data were collected and analyzed to obtain the Poisson ratio values corresponding to different density levels of dry ice. The findings of the study revealed a distinct relationship between the Poisson ratio and the density of dry ice, providing valuable insights into the mechanical properties of this material. The methodology and outcomes presented here contribute to a deeper understanding of the behaviour of dry ice under compressive loads, paving the way for potential applications in various fields requiring precise knowledge of its mechanical characteristics. The result obtained showed a consistent relationship between the Poisson ratio of dry ice and its density, such that as the Poisson ratio decreased its corresponding density increased. These findings not only enhance our understanding of dry ice's mechanical behavior but also offer insights into the broader interplay between density and Poisson ratio in materials, with potential implications for diverse industrial and scientific applications.
Downloads
Article Details
References
Aleksandra, B; Jan. G; Mateusz, K; & Krayszof, W. (2022). Experimental Investigation on the Effect of Dry Ice Compression on the Poisson Ratio. Materials, 15(4), 1555-1565. https://doi.org/10.3390/ma15041555
Aliev A.M; Mamedov AE; Huseynova K.I (2017). The Poisson’s ratio of dry ice. Journal of Applied Mechanics and Technical Physics. 58(4):482-485 https:doi.org/10.1134/50027894424050011
Biszczanik, A., Wałęsa, K., Kukla, M., & Górecki, J. (2021). The Influence of Density on the Value of Young’s Modulus for Dry Ice. Materials, 14(24), 7763. https:doi.org/10.3390ma14247763
Duan B, Li L, & Lin H, (2018). An experimental study of the Poisson’s ratio of sandstone related to confining pressure: controls and implications. Journal of Petroleum Science and Engineering. 163:91-98.
Dzido, A; Kwaczyk, P; Badyda, K; & Chondrokostas, P, (2021). Impact of operating parameters on the performance of dry-Ice blasting nozzle. Energy 3899), 1193-1204https://doi.org/10.1016/j.energy.2020.118847
Elguezabal, B; Alkorta, J; Martines-Esnaola, J; Soler, R; & Panos, E. (2020). Study of power densification under hydrostatic loads at high temperature using finite element method. Procedia Manufacture, 50, 401-406 https://doi.org/10.1016/j.prompfg.2020.08.073
Erarslan, N; (2013). A study on the evaluation of the fracture process zone in CCNBD rock samples. Experimental Mechanics, 53(8), 1475-1489. https://doi.org/10.1007/511340-013-9750-5
Feng Y, Chu W, & Zhang D, (2020). Study on the Poisson’s Ratio of Deep Loess under Different Stress Paths. Geomechanics and Engineering. 22(3):211-219.
Feng Y, Zhang D, & Chen Y, (2019). Experimental Analysis of the Poisson's Ratio of Xinggang Clay Under Different Stress Paths. Geomechanics and Engineering. 19(6):521-528.
Joseph, C, Vasileios, M, & Loannis, N (2019). Molecular dynamics simulations of pure methane and Carbon dioxide hydrates: Lattice Constants and derivative Properties. Molecular Physics, 114(18), 1-16
Kumar B, Aregawi W, & Gamage R.T, (2020). Experimental Investigation on Mechanical and Durability Properties of Recycled Aggregate Concrete Incorporating High-volume Fly Ash and Steel Fiber. Journal of Materials in Civil Engineering. 32(4), 29-38
Maqsood H, Ahmed Z.A, & Velicheti R.K, (2017). An experimental study of the nonlinear behaviour of Poisson’s ratio in concrete at low stress levels. Engineering Structures. 151:737-745.
Wang Z; Yu X, Qiu H, Li M, Guan P, & Yang ,X (2017). An experimental and numerical study on the Poisson’s ratio of sandstone. International Journal of Rock Mechanics and Mining Sciences. 99, 180-192.
Yamaguchi, H; Niu, X; Sekimoto, K; & Neksa, P. (2011) Investigation of dry ice blockage in an ultra-low temperature cascade refrigeration system using CO2 as a working fluid. International Journal of Refrigeration 34, 466-478. https://doi.org/10.1016/j.ijrefrig.2010.11.001
Yang J, Wang L, & Zhai C, (2020). An Experimental Study on the Poisson's Ratio of Carbonate Rocks. Geomechanics and Engineering. 22(6):509-525.
Yao Z, Dong G, Li C, Wu X, & Wang C (2019). Experimental investigation on Poisson's ratio of coal under different loading paths. International Journal of Rock Mechanics and Mining Sciences. 114, 26-31. https:doi.org/10.1016/j.ijrmms.2019.105479
Zhang L, Huang C, & Xu T, (2019). An Experimental Study on the Poisson’s Ratio of Sandstones in the Laboratory and the Field Scale. Geotechnical and Geological Engineering. 37:107-117. https:doi.org/10.1016/j.Geoeng.2019.103111
Zhao, Y; Bi, J; Zhou, X.P; & Wang, C.L (2019). Effect of HTHP (high temperature and high pressure) of water on micro-characteristic and splitting tensile strength of gritstone. Front Earth Science. https://doi.org/10.3389/feart.2019.00301
Zhou, R; Yang, L; Liu, Z; & Liu, B; (2020). Modeling the powder compaction process by an integrated simulation and inverse optimization method. Matter Today Communication, 80(5) 2911-2922. https://doi.org/10.1016/j.mtcomm.2020.101475
Zhou, X.P; Bi, J; & Qian, Q.H (2015). Numerical simulation of crack behaviours in rock-like materials. Containing multiple pre- existing flaws. Rock Mechanics and Rock Engineering.48(3), 1097-1114. https://doi.org/10.1007/500603-014-0627-4
Zhou, X.P; Zhang, J.Z; Qian, Q.H; & Niu, Y. (2019). Experimental investigation of progressive cracking process in granite under uniaxial loading using digital imaging and AE techniques. Journal of Structural Geology, 126, 129-145. https://doi.org/10.1016/j.jsg. 2019.06.003