Grinding process optimization with application of simulation system

• Autorzy: Bałasz B. , Królikowski T.
• Języki publikacji: EN

Abstrakty

EN

The author of this paper undertook a study on developing algorithms and programs for complex simulation of precision grinding process. The developed models of grinding processes reveals features which enables designing a new models of grinding tools with optimal grains shape and size, and its orientation on the grinding tool surface. The optimization process is feasible due to possibility of the models to carry out the simulation within a vast range of process parameters variability and exact gathering data concerning individual contact of grains. The innovation solution of presented models is based on isolation of individual grains during the simulation process and analyzing the phenomena in the grinding zone in relation to single grain. The most significant analyzes concern: the grain activity and its load, the average cut layers, flotation of single grain depth of cut along the grinding zone, and the influence of grains shape, size and arrangement on aforementioned phenomena.

Słowa kluczowe

EN

grinding modelling; grinding simulation; optimization

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2008
• Tom: Vol. 8, No. 2
• Strony: 95--105
• Opis fizyczny: Bibliogr. 4 poz., rys.

Twórcy

autor

Bałasz B.

• Koszalin University of Technology. Mechanical Department, Racławicka 15, Koszalin, Poland

autor

Królikowski T.

• Koszalin University of Technology. Mechanical Department, Racławicka 15, Koszalin, Poland

Bibliografia

• [1] BAŁASZ B., KRÓLIKOWSKI T., KACALAK W., Method of Complex Simulation of Grinding Process. Third International Conference on Metal Cutting and High Speed Machining Metz, France, 2001, 169-172.
• [2] BALASZ B., SZATKIEWICZ T., KRÓLIKOWSKI T., Grinding Wheel Topography Modeling with Application of an Elastic Neural Network, Lecture Notes in Artificial Intelligence vol. 4682, 83-90, Springer 2007.
• [3] BRINKSMEIER E., et al.: Advances in Modeling and Simulation of Grinding Processes. Annals of the CIRP, vol. 55/2/2006, 667-696.
• [4] SZATKIEWICZ T., BALASZ B., KRÓLIKOWSKI T., Application of an elastic neural network for the modelling of the surfaces of abrasive grains. ANNIE 2005, ASME Press, New York, 793-800.