Forecast Surface Quality of Abrasive Water Jet Cutting Based on Neural Network and Verified by Experiments
In this study, firstly, the YL12 aluminum alloy is used as experimental materials, then in the following experiments it is cut in JJ-I-type water jet machines, and 1,000 group data are gotten by measurement. In each group data, pressure, material thickness, surface roughness, abrasive flow and trave...
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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2013-09-01
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| Series: | Sensors & Transducers |
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| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/september_2013/P_1372.pdf |