Peristaltic flow is a common phenomenon in various natural physiological processes, such as the flow of blood and urine. Peristaltic pumps, which are a typical example of such transfer mechanisms, have extensive applications in the pharmaceutical, petrochemical, and biomedical industries. Nevertheless, the peristaltic pump inevitably produces flow pulsations during its operation, which can severely impede the precise transmission of fluid media. Consequently, comprehending the pulsation mechanism and investigating the impact of critical parameters on pulsation are immensely important for achieving optimal design of peristaltic pumps. In this paper, a high-precision three-dimensions (3-D) Two-way Fluid-structure Interaction (TFSI) model is developed, which takes into account both the hyper-elastic properties of the flexible hose and the deformation of the fluid domain. The mass flow rate of the peristaltic pump for one cycle is determined by combining the solid pre-compression technique with the dynamic mesh technique, and then a detailed explanation of the pulsation mechanism is provided, combining the state of the flexible tube and the flow characteristics within the tube at every moment. To verify the TFSI model, the experimental tests are carried out and the results obtained from the simulation are compared with the experimental results, which indicates the accuracy of the model. Based on the validated TFSI model, the effects of critical parameters on pulsation are analyzed, including plugging rate, roller speed, number of rollers, and the diameter of rollers. These findings suggest that the TFSI model is an effective tool for analyzing and optimizing the design and performance of peristaltic pumps.
ABSTRACTABSTRACTThe anti-/de-icing technology based on induction heating offers significant advantages regarding fast heating, high efficiency, safety and environmental protection. However, the reported methods require the modification of base materials, which lacks universal applicability. Here, a universal and facile anti-/de-icing method is proposed based on induction heating. The durable induction heating coating was prepared by one-step spin coating with micron-sized nickel powder, epoxy resin and silicone resin. The induction heating ability of this coating was investigated by adjusting the proportion of composition, particle size and thickness. An optimal induction heating ability was achieved with the mass ratio of nickel powder and resin, particle size of nickel powder and coating thickness being 1.5, 7 μm and 1070 μm, respectively. We further show this coating can be applied for anti-/de-icing, demonstrated by its excellent de-/anti-icing performances. Finally, the mechanical durability of the coating was verified by the tape peel and sandpaper friction.KEYWORDS: Anti-/de-icinginduction heatingcoatingdurabilitynickel powderepoxy resinsilicone resinspin coating Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was supported by National Key R&D Program of China: [Grant Number 2022YFB4602401]; National Natural Science Foundation of China: [Grant Number 52075071]; Opening Project of the Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University: [Grant Number KF20200002]; Key Laboratory of Icing and Anti/De-icing of CARDC: [Grant Number IADL 20210405].
In biomedical engineering, radio-frequency(RF) ablation therapy is a widely utilized technique. As the size and shape of lesions during RF catheter ablation is dependent on the temperature reached in muscular tissue, a computer model for heat transfer during the process can prove to be quite beneficial in improving the accuracy of the therapy procedure. In this work, a finite element analysis based calculation is performed to determine the joule heating induced temperature increase in endocardial tissue subjected to ablation with stainless steel electrode for 50 s. The discontinuous interface between the muscle and electrode has been represented by a heat gap boundary condition. For a root mean square voltage drop of 15.1 V, the peak temperature attained in the tissue at the vicinity of electrode tip is obtained as 57.98 °C.
The surrogate model technique, a fast-solving and data-based technology, has great significances in design and optimization of complex engineering systems and has been used to approximate problems without explicit functions. In this paper, a surrogate-based design and optimization (SBDO) Graphical User Interface (GUI) named SBDO Toolbox is proposed, which combines the powerful mathematical analysis capability of MATLAB with the superb interfacial design function of GUIDE. This toolbox consists of three modules, i.e., design of experiments (DOE), construction of surrogate models and prediction/optimization. Users can address an optimization problem easily by inputting the information of independent variables, setting some options (or just keeping default values), and the results of each module can be displayed graphically. The data transmission between modules is continuous, so the integrity of design process can be guaranteed. The proposed SBDO Toolbox can be commonly applied to engineering design and optimization by simply setting parameters without any professional knowledge about surrogate model techniques. Therefore, the development of SBDO Toolbox is to simplify the steps and operations of the SBDO process in engineering systems and to promote the SBDO technology.
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