Peer Review Statementdoi: 10.1088/1742-6596/2676/1/011002pmid: N/A
All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.Type of peer review: Single AnonymousConference submission management system: MorressierNumber of submissions received: 11Number of submissions sent for review: 11Number of submissions accepted: 6Acceptance Rate (Submissions Accepted / Submissions Received × 100): 55Average number of reviews per paper: 3.18Total number of reviewers involved: 8Contact person for queries:Name: Zbigniew CzyÀEmail: [email protected]: Polish Air Force University
The influence of the laser cutting process parameters on the quality of the cut edgeŁatka, L; Jonda, E; Kiełczawa, T
doi: 10.1088/1742-6596/2676/1/012001pmid: N/A
The article describes the influence of the parameters of laser cutting on the cut edge quality of 10 mm S355J2 structural steel. The cutting process was carried out with a fiber laser. The basic evaluation criteria were measurements of perpendicularity tolerance, average profile height of roughness Rz5, visual evaluation, and measurements of hardness HV10. Moreover, the factorial regression models were prepared to investigate the standardized effects of the process parameters on the cutting quality. The variable process parameters were laser beam power, cutting velocity and working gas pressure. For regression modeling, low and high levels of these factors were considered representing the effective range of each parameter. The research presented in this paper proves that there are statistical correlations between the examined factors that have a significant impact on the achieved cutting effect. By the analysis of the process control parameters, it is possible to achieve an optimal level of quality that facilitates further technological operations on a given cutting product.
Investigation on the limits of type 1 diabetes therapy automation using insulin pumpsNowicki, T; Piekarski, R
doi: 10.1088/1742-6596/2676/1/012002pmid: N/A
Type 1 diabetes is an incurable chronic disease that usually has its onset in childhood. The disease means that the patient’s body irreversibly loses its ability to produce the insulin hormone. Since the lack of insulin in the organism always leads to death, the therapy primarily consists in supplying the hormone from the outside inright doses and in the right time. Administration errors can result in poor mood, health complications or even death. The introduction of insulin pumps for common use as basic devices for insulin delivery has significantly improved the quality of the therapy, and what follows, the physical and mental comfort of patients. It is still easy to get an opinion that these devices completely automate the therapy process, but this is not true. The aim of this research was to determine the possible level of the automation of the type 1 diabetes therapy solely based on an insulin pump. First, the principle of operation of typical modern insulin pumps was described. This became the basis for the development of a special biocybernetic model of a patient with diabetes. Then, the model was used in numerous computer simulations whose output was confronted with historical data obtained from real patients. The research confirms that the use of a typical modern insulin pump alone does not fully automate the therapy of type 1 diabetes. Nevertheless, possible methods could be identified to achieve a higher quality of treatment and to find opportunities for additional automation. These methods can be considered as an alternative to the socalled artificial pancreas.
Prediction of river salinity with artificial neural networksKulisz, M; Kujawska, J; Aubakirova, Z; Wojtas, E
doi: 10.1088/1742-6596/2676/1/012004pmid: N/A
This paper presents the development and evaluation of an Artificial Neural Network (ANN) based on the model for predicting the salinity of the Warta River. The study focused on the prediction of river water salinity, expressed in terms of electrical conductivity (EC), using the proposed ANN structure of 7-10-1. The network showed a satisfactory ability to capture the interrelationships between the input data: sulphates, chlorides, calcium, magnesium, total hardness, pH, and total dissolved solids. The correlation coefficient (R) values for the training, validation and test sets were 0.99444, 0.96988 and 0.97174, respectively. From the results, it can be concluded that the developed model is suitable for predicting the EC of the river.
Analysis of the impact of trailing-edge wing flaps on the aerodynamic characteristics and performance of the Tecnam P-2008JC aircraftKopeć, I; Kawałko, M
doi: 10.1088/1742-6596/2676/1/012006pmid: N/A
The aim of the article was to analyse the impact of three selected types of trailing-edge flaps on the aerodynamic characteristics and performance of the Tecnam P-2008JC aircraft. The SOLIDWORKS software, together with the Flow Simulation module, was used to design the 3D model of the aircraft and to simulate the air flow. The article contains descriptions of issues related to the aerodynamics and dynamics of aircraft motion, calculations describing the procedure for designing and building a model of the tested aircraft in the SOLIDWORKS software, performing simulations using the Flow Simulation module and determining the aerodynamic characteristics of the aircraft with the flaps applied, determining the basic performance of the aircraft with extended flaps, and then comparing the determined performance with the in a configuration without flaps.
Quantitative and qualitative analysis of surface runoff from the exemplary rest area (RA)Suchorab, P; Kowalski, D; Iwanek, M; Kowalska, B; Hołota, E
doi: 10.1088/1742-6596/2676/1/012005pmid: N/A
Due to the changed nature of atmospheric precipitation and an increasing water deficit, the possibilities of water retention where rainwater occurs have been more and more popular in recent decades. Yet, no comprehensive studies have been carried out in Poland to show the possibilities of economic use of water flowing out from roads, not only in terms of quantity but also quality. The aim of this paper is to present the findings of the quantitative and qualitative analysis of the surface runoff from an exemplary rest area (RA). The analysis followed the hydrodynamic method and was divided into two parts: runoff analysis and quality analysis related to the amount of the Total Suspended Solids (TSS) washed off from the analyzed RA during precipitation events. The findings prove that the case study RA is efficiently drained in terms of hydraulic conditions. The qualitative analysis showed that the concentration of the TSS exceeded the maximum acceptable level during all rainfall events. However, in-situ tests of the quantity and quality of rainwater from the RA are highly recommended.
Simulation model of a patient with type 1 diabetes using fuzzificationZientarski, T; Miłosz, M; Nowicki, T; Kiersztyn, A; Wójcicki, P; Gutek, D
doi: 10.1088/1742-6596/2676/1/012003pmid: N/A
Type 1 diabetes is one of the most common diseases. The disease is caused by a lack of insulin secretion from the beta cells of the pancreas, which leads to improper regulation of blood glucose levels. The article presents a simulation model for determining changes in glucose-insulin levels using fuzzy logic techniques. The work concerns a quite simple deterministic simulation model of a digital twin of a type 1 diabetes patient, and fuzzification can significantly improve the efficiency of this model. A series of numerical experiments showed that enriching a simple deterministic patient model with a fuzzy approach gives much more accurate results than the simple deterministic model. The use of fuzzy sets opens up a number of possibilities and is a completely natural approach, resulting from, among others, the specificity of the simulated phenomenon - vital parameters of people with type 1 diabetes.
Prefacedoi: 10.1088/1742-6596/2676/1/011001pmid: N/A
ABOUT THE CONFERENCEThe 8th International Conference of Computational Methods in Engineering Science (CMES’2023), held on November 23rd-25th, 2023 in Puławy, Poland, is organized by the Polish Society for the Promotion of Knowledge, the Lublin University of Technology (Faculty of Mechanical Engineering, Faculty of Electrical Engineering and Computer Science, Faculty of Management, and Faculty of Environmental Engineering), and the Polish Air Force University (Faculty of Aviation).The conference is an excellent opportunity to present and learn how computational methods can be applied in scientific disciplines like mechanical, materials, and civil engineering, management, environmental engineering, mining and energy, computer engineering, and innovative products launched by companies. The interdisciplinary nature of the conference facilitates knowledge sharing among Polish and foreign research centers that represent different engineering and technical sciences disciplines. This edition creates opportunities for plenary sessions and presentations of companies that solve engineering problems with modern computational methods and tools.TOPICS• Analysis of engineering processes• Application of computer programs in technology• Artificial and computational intelligence• Computational Fluid Dynamics (CFD)• Computer simulations of processes and phenomena• Finite Element Method (FEM)• Material properties and structure research methods• Production engineering and quality control• Technology management in energy acquisition processesList of Organizing Committee, Scientific Committee are available in this Pdf.