ACS Applied Computer Science

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vol. 14, no. 2,2018

IDENTIFICATION OF THE MASS INERTIA MOMENT IN AN ELECTROMECHANICAL SYSTEM BASED ON WAVELET–NEURAL METHOD

This paper presents the results of testing of a complex electromechanical system model. These results have been obtained for accepted in simulations the method of identifying an inertia moment of reduced masses on shaft of induction motor drive during the changes of a backlash zone width. The effectiveness of correct diagnostic conclusions enables coefficients analysis of testing signals wavelet expansion as well as weights of a supervised learning neural network. The earlier fault detection of five important state variables, which describe physical quantities of chosen complex electromechanical system has been verified for its correctness during the backlash zone width monitoring in the early stage of its gradual rise. The proposed here algorithm with mass inertia moment changes has proved to be an effective diagnostic method in the area of system changeable dynamic conditions and this has been shown in the resulting changes of backlash zone width.

  • APA 6th style
Tomczyk, M., Borowik, B., & Borowik, B. (2018). Identification of the mass inertia moment in an electromechanical system based on wavelet–neural method. Applied Computer Science, 14(2), 96-111. doi:10.23743/acs-2018-16
  • Chicago style
Tomczyk, Marcin, Barbara Borowik, and Bohdan Borowik. "Identification of the Mass Inertia Moment in an Electromechanical System Based on Wavelet–Neural Method." Applied Computer Science 14, no. 2 (2018): 96-111.
  • IEEE style
M. Tomczyk, B. Borowik, and B. Borowik, "Identification of the mass inertia moment in an electromechanical system based on wavelet–neural method," Applied Computer Science, vol. 14, no. 2, pp. 96-111, 2018.
  • Vancouver style
Tomczyk M, Borowik B, Borowik B. Identification of the mass inertia moment in an electromechanical system based on wavelet–neural method. Applied Computer Science. 2018;14(2):96-111.

NEURAL CONTROLLER FOR THE SELECTION OF RECYCLED COMPONENTS IN POLYMER-GYPSY MORTARS

This study presents research on the development of an intelligent controller that allows optimal selection of rubber granules, as an admixture recycling component for polymer-gypsy mortars. Based on the results of actual measurements, neural networks capable of predicting the setting time of gypsum mortar, as well as determining the bending and compressive strength coefficients were trained. A number of simulation experiments were carried out, thanks to which the characteristics of setting times and strength of mortars containing different compositions of recycling additives were determined. Thanks to the obtained results, it was possible to select the rubber admixtures optimally both in terms of the percentage share as well as in relation to the diameter of the granules.

  • APA 6th style
Kłosowski, G., Klepka, T., & Nowacka, A. (2018). Neural controller for the selection of recycled components in polymer-gypsy mortars. Applied Computer Science, 14(2), 48-59. doi:10.23743/acs-2018-12
  • Chicago style
Kłosowski, Grzegorz, Tomasz Klepka, and Agnieszka Nowacka. "Neural Controller for the Selection of Recycled Components in Polymer-Gypsy Mortars." Applied Computer Science 14, no. 2 (2018): 48-59.
  • IEEE style
G. Kłosowski, T. Klepka, and A. Nowacka, "Neural controller for the selection of recycled components in polymer-gypsy mortars," Applied Computer Science, vol. 14, no. 2, pp. 48-59, 2018.
  • Vancouver style
Kłosowski G, Klepka T, Nowacka A. Neural controller for the selection of recycled components in polymer-gypsy mortars. Applied Computer Science. 2018;14(2):48-59.

HIGH SPEED MILLING IN THIN-WALLED AIRCRAFT STRUCTURES

Aircraft structures are designed to mainly consist of integral elements which have been produced by welding or riveting of component parts in technologies utilized earlier in the production process. Parts such as ribs, longitudinals, girders, frames, coverages of fuselage and wings can all be categorized as integral elements. These parts are assembled into larger assemblies after milling. The main aim of the utilized treatments, besides ensuring the functional criterion, is obtaining the best ratio of strength to construction weight. Using high milling speeds enables economical manufacturing of integral components by reducing machining time, but it also improves the quality of the machined surface. It is caused by the fact that cutting forces are significantly lower for high cutting speeds than for standard machining techniques.

  • APA 6th style
Bałon, P., Rejman, E., Smusz, R., Szostak, J., & Kiełbasa, B. (2018). High Speed Milling in thin-walled aircraft structures. Applied Computer Science, 14(2), 82-95. doi:10.23743/acs-2018-15
  • Chicago style
Bałon, Paweł, Edward Rejman, Robert Smusz, Janusz Szostak, and Bartłomiej Kiełbasa. "High Speed Milling in Thin-Walled Aircraft Structures." Applied Computer Science 14, no. 2 (2018): 82-95.
  • IEEE style
P. Bałon, E. Rejman, R. Smusz, J. Szostak, and B. Kiełbasa, "High Speed Milling in thin-walled aircraft structures," Applied Computer Science, vol. 14, no. 2, pp. 82-95, 2018.
  • Vancouver style
Bałon P, Rejman E, Smusz R, Szostak J, Kiełbasa B. High Speed Milling in thin-walled aircraft structures. Applied Computer Science. 2018;14(2):82-95.

AN EFFECTIVE METAHEURISTIC FOR TOURIST TRIP PLANNING IN PUBLIC TRANSPORT NETWORKS

The Time-Dependent Orienteering Problem with Time Windows (TDOPTW) is a combinatorial optimization problem defined on graphs. Its real life applications are particularly associated with tourist trip planning in trans-port networks, where travel time between two points depends on the moment of travel start. In the paper an effective TDOPTW solution (evolutionary algorithm with local search operators) was presented and applied to gen-erate attractive tours in real public transport networks of Białystok and Athens. The method achieved very high-quality solutions in a short execution time.

  • APA 6th style
Ostrowski, K. (2018). An effective metaheuristic for tourist trip planning in public transport networks. Applied Computer Science, 14(2), 5-19. doi:10.23743/acs-2018-09
  • Chicago style
Ostrowski, Krzysztof. "An Effective Metaheuristic for Tourist Trip Planning in Public Transport Networks." Applied Computer Science 14, no. 2 (2018): 5-19.
  • IEEE style
K. Ostrowski, "An effective metaheuristic for tourist trip planning in public transport networks," Applied Computer Science, vol. 14, no. 2, pp. 5-19, 2018.
  • Vancouver style
Ostrowski K. An effective metaheuristic for tourist trip planning in public transport networks. Applied Computer Science. 2018;14(2):5-19.

THE INFLUENCE OF THE INJECTION TIMING ON THE PERFORMANCE OF TWO-STROKE OPPOSED-PISTON DIESEL ENGINE

The performance of the engine strongly depends on the parameters of the combustion process. In compression ignition engines, the fuel injection timing has a significant influence on this process. The moment of its occurrence and its duration should be chosen so that the maximum pressure value occurs several degrees after TDC. In order to analyze the effect of the fuel injection timing on the performance of the tested two-stroke opposed-piston diesel engine, a zero-dimensional model was developed in the AVL BOOST program. Next, a series of simulations were performed based on the defined calculation points for maximum continuous power, which resulted in power, specific fuel consumption and mean in-cylinder pressure. Finally, the engine map was made as a function of the start of combustion angle.

  • APA 6th style
Karpiński, P. (2018). The influence of the injection timing on the performance of two-stroke opposed-piston diesel engine. Applied Computer Science, 14(2), 69-81. doi:10.23743/acs-2018-14
  • Chicago style
Karpiński, Paweł. "The Influence of the Injection Timing on the Performance of Two-Stroke Opposed-Piston Diesel Engine." Applied Computer Science 14, no. 2 (2018): 69-81.
  • IEEE style
P. Karpiński, "The influence of the injection timing on the performance of two-stroke opposed-piston diesel engine," Applied Computer Science, vol. 14, no. 2, pp. 69-81, 2018.
  • Vancouver style
Karpiński P. The influence of the injection timing on the performance of two-stroke opposed-piston diesel engine. Applied Computer Science. 2018;14(2):69-81.

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