Cutting force-based adaptive neuro-fuzzy approach for accurate surface roughness prediction in end milling operation for intelligent machining
End milling is one of the most common metal removal operations encountered in industrial processes. Product quality is a critical issue as it plays a vital role in how products perform and is also a factor with great influence on manufacturing cost. Surface roughness usually serves as an indicator o...
| Main Authors: | , , , |
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| Format: | Article |
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Springer London Ltd, 236 Grays Inn Rd, 6th Floor, London Wc1x 8hl, England
2015
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| Online Access: | http://link.springer.com/article/10.1007/s00170-014-6379-1 http://link.springer.com/article/10.1007/s00170-014-6379-1 http://eprints.um.edu.my/13815/1/Cutting_force%2Dbased_adaptive_neuro%2Dfuzzy_approach_for.pdf |