SURFACE ROUGHNESS PREDICTION OF AL ALLOY USING ANN IN CNC TURNING
Using Ann in CNC Turning to Predict Surface Roughness of an Al Alloy RDE-40 and H-15
(Sprache: Englisch)
Machining of advance aerospace materials like alloys of aluminum has posed a lot of challenges with the existing cutting tools higher the metal feed cutting rate lower is the surface finish and lower is metal feed cutting rate better is the surface finish....
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Machining of advance aerospace materials like alloys of aluminum has posed a lot of challenges with the existing cutting tools higher the metal feed cutting rate lower is the surface finish and lower is metal feed cutting rate better is the surface finish. Also surface finish has played a prominent role in the machining of materials as it determines the number of steps required for process of aluminum alloy from the initial stage i.e. raw material stage to finished product. The experimental investigation was conducted by varying different operating parameters like spindle speed, feed rate and depth of cut. The obtained results were taken as inputs and by using Artificial Neural Network to obtain optimized solution of different conflicting parameters in terms of higher feed rate, maximum depth of cut and higher spindle speed accompanied by best surface finish.
Autoren-Porträt von D.R. SRINIVASAN, S. RAJENDRAPRASAD
SRINIVASAN, D.R.Dr. D.R. Srinivasan is currently working as Assistant Professor in the Department of Mechanical Engineering at JNTUA College of Engineering, Anantapur. He has 10 years of experience in manufacturing industry and 17 years of experience in teaching field. He has published more than 15 technical papers in International Journals member of IEI, ASME
Bibliographische Angaben
- Autoren: D.R. SRINIVASAN , S. RAJENDRAPRASAD
- 2021, 64 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203582743
- ISBN-13: 9786203582741
Sprache:
Englisch
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