Research of machinability of heat resistant steels 10Х11НN23T3MР-ВД used in parts of gas turbine engines
In article questions the workability of heat-resistant chromium-nickel steel 10Х11Н23Т3МР-ВД are considered. To investigate the machinability of heat-resistant material used modern milling machines, CNC torque table Kistler, modern monolithic milling tool company Seco, in the form of the mandrel use...
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Published in | Vestnik Samarskogo universiteta. Aèrokosmičeskaâ tehnika, tehnologii i mašinostroenie (Online) Vol. 13; no. 5-3; pp. 106 - 112 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
22.12.2014
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Online Access | Get full text |
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Summary: | In article questions the workability of heat-resistant chromium-nickel steel 10Х11Н23Т3МР-ВД are considered. To investigate the machinability of heat-resistant material used modern milling machines, CNC torque table Kistler, modern monolithic milling tool company Seco, in the form of the mandrel used termic clamping provides the highest rigidity fixing. Posed a series of experiments to measure the cutting forces that arise during processing. For the experiment were selected workpiece in the form of plates. The surface of each sample is pretreated so that the initial surface roughness for all samples was the same Ra 1,25. Materials blanks: Steel ЭП33 ВД (10Х11Н23Т3МР-ВД). As a cutting tool in the model used milling company Seco. The analysis and processing of the experimental results are provided. According to experimental data are constructed dependences of the cutting force on the speed, depth of cut and feed. Depending obtained using neural network models, linking cutting forces with the technological parameters.It is established that the neural network model provides a more accurate prediction of cutting forces, especially in the field of higher cutting speeds. Since the full-scale testing was costly for the purchase of an experienced tool and workpiece, the cutting process was modeled with the given experimental conditions for comparison of experimental data and modeling. For this purpose, it was used a virtual simulation of the machining in the environment DEFORM 3D. |
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ISSN: | 2542-0453 2541-7533 |
DOI: | 10.18287/1998-6629-2014-0-5-3(47)-106-112 |