Abstract
The article presents an application of a two-dimensional elastic neuron network for the generation of the surfaces of abrasive grains with macro-geometric parameters set. In the neuron model developed, the output parameters are the number of the grain vertices, the apex angle and the vertex radius. As a result of the work of the system, a random model of a grain with set parameters is obtained. The neuron model developed is used as a generator of the surface of the model of abrasive grains in the system of modeling and simulation of grinding processes.
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References
Bałasz, B., Królikowski, T., Kacalak, W.: Method of Complex Simulation of Grinding Process. In: Third International Conference on Metal Cutting and High Speed Machining Metz, France, pp. 169–172 (2001)
Bałasz, B., Królikowski, T.: Utility of New Complex Grinding Process Modeling Method. PAN Koszalin 93–109 (2002)
Brinksmeier, E., et al.: Advances in Modeling and Simulation of Grinding Processes. Annals of the CIRP 55/2, 667–696 (2006)
Królikowski, T., Bałasz, B., Kacalak, W.: The Influence of Micro- And Macrotopography of the Active Grinding Surface on the Energy Consumption in the Grinding Process. In: 15th European Simulation Multiconference, Prague, Czech Republic, pp. 339–341 (2001)
Shaw, M.: Principles of Abrasive Processing. Oxford University Press, Oxford (1996)
Stępień, P., Bałasz, B.: Simulation of the Formation Process of Regular Grooves on Surface Ground. In: Industrial Simulation Conference, Palermo, Italy, pp. 269–276 (2006)
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Bałasz, B., Szatkiewicz, T., Królikowski, T. (2007). Grinding Wheel Topography Modeling with Application of an Elastic Neural Network. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_10
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DOI: https://doi.org/10.1007/978-3-540-74205-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74201-2
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