Citation: Biszczanik, A.; Górecki, J.;
Kukla, M.; Wal˛ esa, K.; Wojtkowiak, D.
Experimental Investigation on the
Effect of Dry Ice Compression on the
Poisson Ratio. Materials 2022, 15,
1555. https://doi.org/10.3390/
ma15041555
Academic Editors: Antoine Ferreira,
Szymon Wojciechowski and
Krzysztof Tala´ ska
Received: 8 January 2022
Accepted: 15 February 2022
Published: 18 February 2022
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materials
Article
Experimental Investigation on the Effect of Dry Ice
Compression on the Poisson Ratio
Aleksandra Biszczanik * , Jan Górecki * , Mateusz Kukla , Krzysztof Wal˛ esa and Dominik Wojtkowiak
Institute of Machine Design, Poznan University of Technology, Piotrowo 3, 61-138 Pozna´ n, Poland;
mateusz.kukla@put.poznan.pl (M.K.); krzysztof.walesa@put.poznan.pl (K.W.);
dominik.wojtkowiak@put.poznan.pl (D.W.)
* Correspondence: aleksandra.biszczanik@put.poznan.pl (A.B.); jan.gorecki@put.poznan.pl (J.G.);
Tel.: +48-61-665-2053 (J.G.)
Abstract: In the processing of waste materials, attention must be given to the efficient use of energy.
The pelletization of dry ice is a good example of such processes. A literature review shows that
in the pelletizers available on the market, the force applied in the process is excessive. As a result,
the efficiency of the utilization of inputs, including electricity and carbon dioxide, is at a very low
level. This article presents the results of experimental research on the effect of the degree of dry
ice compression on the value of the Poisson ratio. The first part of this article presents the research
methodology and a description of the test stand, developed specifically for this research, bearing
in mind the unique properties of carbon dioxide in the solid state. The results presented show the
behavior of dry ice during compression in a rectangular chamber for different final densities of the
finished product. As a result, it is possible to determine the values of the Poisson ratio as a function
of density, using for this purpose four mathematical models. The findings of this research may
be useful for research work focused on the further development of this process, such as by using
the Drucker–Prager/Cap numerical model to optimize the geometric parameters of the parts and
components of the main unit of the machine used in the extrusion process of dry ice.
Keywords: Poisson ratio; compression; densification; extrusion; dry ice; carbon dioxide (CO
2
)
1. Introduction
The available research reflects a growing interest in the use of numerical testing
techniques in the planning process of various production processes, such as powder
densification [1–3], the compaction of saw dust [4] or dry ice blasting [5]. This stems
from the possibility of reducing the implementation costs related to the preparation of the
prototype and carrying out the tests needed in the period before starting production. As a
result, it is possible to improve the efficiency of production processes at the planning stage
and in the process of designing relevant machines. The improved efficiency of processes in
the area of the utilization of raw materials contributes to the reduction of production waste.
This should be understood as a use of raw materials that can be considered both effective
and efficient, which makes it possible to minimize losses along the process of transporting
and using the materials in production—for example, natural gas liquids [6]. There is also
material efficiency research aimed at improving design and recycling processes, such as [7].
This can be especially illustrated by the example of rare earth metals, the recycling rates
of which are estimated at less than one percent [8]. A good example of production waste
reduction is the use of polymer materials in additive manufacturing processes, such as
polylactic acid (PLA), acrylonitrile butadiene styrene (ABS), poly (vinyl alcohol) (PVA), and
a number of others. The use of 3D printing technology generates less production waste
than the subtractive methods of production. As a result, it is characterized by a number
of advantages, including improved resource efficiency concerning both production and
manufacturing processes [9].
Materials 2022, 15, 1555. https://doi.org/10.3390/ma15041555 https://www.mdpi.com/journal/materials