Add to ORKGThe paper presents simulation of the cutting force components for ma-chining of magnesium alloy AZ91HP. The simulation employs the Black Box model. The closest match to (input and output) data obtained from the machining process was determined. The simulation was performed with the use of the Statistica programme with the application of neural networks: RBF (Radial Basis Function) and MLP (Multi-Layered Perceptron)
This paper reports on the study of vibration acceleration in milling and vibration prediction by mea...
All manufacturing engineers are faced with a lot of difficulties and high expenses associated with g...
Metal cutting is one of the most significant manufacturing processes in the area of material removal...
The paper reports the results of artificial neural network modelling of vibration in. a milling proc...
This paper presents the model for milling AZ91HP magnesium alloy with TiAlN coated carbide end mill....
To predict the required cutting force is necessary to realize the potentials of difficult-to-cut ma...
High speed hard end milling is one of complex and costly shape machining compared to other machining...
The focus of this paper is to develop a reliable method to predict 3D cutting forces during ball-end...
This paper uses the artificial neural networks (ANNs) approach to evolve an efficient model for esti...
Abstract:-Recent developments, focused on the optimization of machining processes, through an effect...
WOS: 000415695400013This contribution presents an approach for the modeling and prediction of surfac...
© 2019 by the authors. Experimental research of cutting force components during dry face milling ope...
In this study, artificial neural networks (ANNs) was used for modeling the effects of machinability ...
Metal cutting is one of the most significant manufa cturing processes in the area of material remova...
V magistrski nalogi so opisani modeli za napovedovanje rezalnih sil in principe delovanja nevronskih...
This paper reports on the study of vibration acceleration in milling and vibration prediction by mea...
All manufacturing engineers are faced with a lot of difficulties and high expenses associated with g...
Metal cutting is one of the most significant manufacturing processes in the area of material removal...
The paper reports the results of artificial neural network modelling of vibration in. a milling proc...
This paper presents the model for milling AZ91HP magnesium alloy with TiAlN coated carbide end mill....
To predict the required cutting force is necessary to realize the potentials of difficult-to-cut ma...
High speed hard end milling is one of complex and costly shape machining compared to other machining...
The focus of this paper is to develop a reliable method to predict 3D cutting forces during ball-end...
This paper uses the artificial neural networks (ANNs) approach to evolve an efficient model for esti...
Abstract:-Recent developments, focused on the optimization of machining processes, through an effect...
WOS: 000415695400013This contribution presents an approach for the modeling and prediction of surfac...
© 2019 by the authors. Experimental research of cutting force components during dry face milling ope...
In this study, artificial neural networks (ANNs) was used for modeling the effects of machinability ...
Metal cutting is one of the most significant manufa cturing processes in the area of material remova...
V magistrski nalogi so opisani modeli za napovedovanje rezalnih sil in principe delovanja nevronskih...
This paper reports on the study of vibration acceleration in milling and vibration prediction by mea...
All manufacturing engineers are faced with a lot of difficulties and high expenses associated with g...
Metal cutting is one of the most significant manufacturing processes in the area of material removal...