Adaptive Neuro-Fuzzy Modeling of Thermal Voltage Parameters for Tool Life Assessment in Face Milling

Kováč, Pavel; Rodić, Dragan; Gostimirović, Marin; Savković, Borislav; Ješić, Dušan

doi:10.24867/jpe-2017-01-016

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2018

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Cited by 2 publications

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“…Modeling of the tool wear with feed forward neural network is composed of two stages: training and testing of the network with experimental machining data [12,13]. The scale of the input and output data is an important matter to consider, especially when the operating ranges of process parameters are different.…”

Section: Neural Networkmentioning

confidence: 99%

Wear of Model and Integral Face Milling Cutter Modelled by Artificial Intelligence

Kováč¹,

Savković²,

Rodić³

et al. 2018

J. Prod. Eng.

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The paper presents results of experimental study of model single tooth and integral multi tooth milling cutter. During the study research were tool wear on rake face and flank face of face milling cutter during processing time. Radial and axial throw of tooth were small and wear parameters are during processing time remain near for both cases. Tool wear of model single tooth and eight teeth face milling cutter were modeled by statistical method and artificial intelligence neural network model and were compared. Better models were achieved with artificial intelligence method.

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Section: Neural Networkmentioning

confidence: 99%

Wear of Model and Integral Face Milling Cutter Modelled by Artificial Intelligence

Kováč¹,

Savković²,

Rodić³

et al. 2018

J. Prod. Eng.

Self Cite

View full text Add to dashboard Cite

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Clamping Fixture Design Methodology for the Proper Workpiece Insertion

Oravcová

Košťál

Sobrino

et al. 2013

AMM

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In this paper is described the design methodology of clamping fixture with the foolproofing capability. This capability eliminates the wrong work piece inserting and positioning in the clamping fixture. This methodology includes the work piece classification by its symmetry. To work piece symmetry evaluation are used the rotational and mirroring transformations. In the explored area of symmetrical transformations interactions we put the foolproofing pins, or switches.

show abstract

Adaptive Neuro-Fuzzy Modeling of Thermal Voltage Parameters for Tool Life Assessment in Face Milling

Cited by 2 publications

References 12 publications

Wear of Model and Integral Face Milling Cutter Modelled by Artificial Intelligence

Wear of Model and Integral Face Milling Cutter Modelled by Artificial Intelligence

Clamping Fixture Design Methodology for the Proper Workpiece Insertion

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