This paper proposes the application of capillary and chain random models of pore space structure for determination of limit pore diameter distributions of porous materials, based on the mercury intrusion curves. Both distributions determine the range in which the pore diameter distribution of the investigated material occurs and defines the degree of inaccuracy of the method based on the mercury intrusion data caused by the indeterminacy of the sample shape and its pore space architecture. We derived equations describing the quasi-static process of mercury intrusion into the porous layer and porous ball with a random chain pore space structure and analysed the influence of the model parameters on the mercury intrusion curves. It was shown that the distribution of link length in the chain model of the pore space, random location of chain capillaries in the sample and the length distribution of the capillaries do not influence significantly the intrusion process. Therefore, a simple model of the mercury intrusion into the layer is proposed in which chain links of the pore space have random diameters and constant length. This model is used as a basic model of the intrusion process into a sample of any shape and size and with homogeneous and isotropic chain pore space architecture. The thickness of the layer then represents the mean length of chain capillaries in the sample. It was also proved that the capillary and chain models of pore space architecture are limit models of the network model identified in this paper with the pore architecture of the investigated sample. This justifies the application of both models for determination of limit cumulative distributions of pore diameters in porous materials based on the mercury intrusion data. Keywords Mercury porosimetry • Capillary potential curve • Chain and capillary models of pore structure • Limit pore diameter distributions B M.
This paper proposes a continuum description of the quasi-static processes of non-wetting liquid intrusion into a porous body. The description of such processes is important in the interpretation of mercury porosimetry data, which is commonly used to determine the pore space structure parameters of porous materials. A new macroscopic model of capillary transport of non-wetting liquid in porous material is proposed. It is assumed that a quasi-static process of liquid intrusion takes place in the pore space-pressure continuum and that liquid filling an undeformable porous material forms a macroscopic continuum constituted by a mobile and a capillary liquid which exchange mass and energy. The capillary liquid forms a thin layer on the surface of the liquid filling the porous material that is in contact with the internal surface of the pores. It is immoveable and contains the whole capillary energy. Mass balance equations for both constituents and constitutive relations describing capillary transport in the pore space-pressure continuum are formulated, and a boundary condition on the surface of the porous body is proposed. The equations obtained are solved for the special case of liquid intrusion into a ball of porous material. Analytical expressions are obtained for the saturation distribution of non-wetting liquid in the ball and for the capillary potential curve. Their dependence on parameters of the system is analyzed.
The article addresses the development of an innovative mechanical and information technology (IT) solution in the form of a three-dimensional (3D) printed hand exoskeleton, enabling the rehabilitation of people with special needs (with the participation of physiotherapists). The design challenges and their solutions are presented in the example of the own design of a prototype mechanical rehabilitation robot (a hand exoskeleton) to support the rehabilitation process of people with a lack of mobility in the hand area (both as a result of disease and injury). The aim of this paper is to develop the author’s concept for a hand exoskeleton developed within an interdisciplinary team during the design work to date. The problem solved in the study was to develop a five-finger 3D-printed hand exoskeleton providing physiological ranges of movement and finger strength support at a level at least half that of healthy fingers, as well as taking it to the clinical trial phase. The novelty is not only an interdisciplinary approach but also focuses on developing not only prototypes but a solution ready for implementation in the market and clinical practice. The contribution includes the strong scientific and technical, social, and economic impact of the exoskeleton on the hand due to the fact that any deficit in hand function is strongly felt by the patient, and any effective way to improve it is expected in the market. The concept of the hand exoskeleton presented in the article combines a number of design and simulation approaches, experimentally verified mechanical solutions (a proposed artificial muscle, 3D printing techniques and materials, and possibly other types of effectors supported by sensors), and IT (new control algorithms), along with the verification of assumptions with a group of medical specialists, including in laboratory and clinical settings. The proposed specification of the hand exoskeleton offers personalised dimensions (adapted to the dimensions of the user’s hand, as well as the type and level of hand function deficit), weight (approximately 100–150 g, depending on the dimensions), personalised actuators (described above), all degrees of freedom of the healthy hand (in the absence of defects), and the time to close and open the hand of approximately 3–5 s, depending on the level and degree of deficit.
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