Wyniki wyszukiwania - BazTech

1

Automated evaluation of continuous and segmented chip geometries based on image processing methods and a convolutional neural network

Klippel Hagen, Pflaum Samuel, Kuffa Michal, Wegener Konrad

Journal of Machine Engineering

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2022

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Vol. 22, No. 4

115--132

EN

The aim of this work is to present a new methodology for the automated analysis of the cross-sections of experimental chip shapes. It enables, based on image processing methods, the determination of average chip thicknesses, chip curling radii and for segmented chips the extraction of chip segmentation lengths, as well as minimum and maximum chip thicknesses. To automatically decide whether a chip at hand should be evaluated using the proposed methods for continuous or segmented chips, a convolutional neural network is proposed, which is trained using supervised learning with available images from embedded chip cross-sections. Data from manual measurements are used for comparison and validation purposes.

2

Wykorzystanie czujnika PVDF do badania segmentacji wiórów przy skrawaniu Ti6Al4V

Jemielniak K.

Mechanik

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2017

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R. 90, nr 12

1132

PL

Stop tytanu Ti6Al4V jest bardzo chętnie stosowany ze względu na niski ciężar i wytrzymałość w wysokiej temperaturze. Jego skrawalność jest bardzo ograniczona, ponieważ w trakcie obróbki powstają wióry o wyraźnie zaznaczonych segmentach, co wywołuje znaczne wahania sił skrawania oraz skutkuje złą jakością powierzchni i niską dokładnością wymiarową. Monitorowanie segmentacji wiórów jest możliwe przez pomiar sił skrawania.

3

Validation of Fe Modeling of Orthogonal Turning Process Using Cowper–Symonds Material Behavior Law

Gyliene V., Ostasevicius V.

Engineering Transactions

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2013

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Vol. 61, iss. 4

249–-263

EN

The article contains a literature review, experimental results, and a Finite Element Model (FEM) composition. Orthogonal turning tests were executed in the range of cutting speeds and feed rate, after every test chip was collected. Further investigation was done using FE model validation and experimentation, which uses results of the experimental zone in which the built-up edge did not form and the cutting itself is of even plastic deformation. The essence of this research is that the adequacy of the composed FE model to the real physical process should conform not only to the evaluation of cutting forces, but also to the evaluation of chip form, that is, segmentation frequency.

4

Analysis of the cutting parameters influence during machining aluminium alloy A2024-T351 with uncoated carbide inserts

Haddag B., Atlati S., Nouari M., Barlier C., Zenasni M.

Engineering Transactions

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2012

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Vol. 60, iss. 1

31-39

EN

This work aims to analyze the effect of the cutting parameters on chip segmentation of the aluminium alloy A2024-T351 during machining process. In this work, two parameters are considered: the tool rake angle of the cutting tool and the feed under dry machining. An orthogonal cutting FE model is developed in Abaqus/Explicit for this purpose. A thermo-visco- plastic-damage model for the machined material and thermo-rigid behaviour for the cutting tool have been assumed. At the chip/tool contact zone, the modified Coulomb friction model has been adopted. Thermal effects are considered by taking into account the heat flux generated by visco-plastic strain and also by friction at the tool-workpiece interface. The obtained results showed the effect of the tool rake angle and feed on the cutting force and chip morphology as well as temperature distribution at the tool rake face.