Experimental investigation to evaluate the effect of low frequency vibration on performance of vibration assisted electrical discharge drilling of titanium alloy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Modeling and Simulation
Link
https://link.springer.com/content/pdf/10.1007/s12008-023-01589-x.pdf
Reference15 articles.
1. Pramanik, A., Samanta, S., Dixit, A.R.: Parametric optimization in vibration-assisted electric discharge drilling of Ti6Al4V alloy. Mater. Manuf. Processes 33(11), 1203–1210 (2018). https://doi.org/10.1080/10426914.2018.1453143
2. Ganesh, M., Kadirgama, K., Noor, M.M., Ramlan, R.: Optimization of micro drilling by vibration-assisted EDM using response surface methodology. Adv. Manuf. Eng. (2022). https://doi.org/10.1007/S12008-022-01002-Z
3. El-Hofy, H.A., Abdelaziz, A.M., El-Taweel, T.A., Ibrahim, A.M.: Design optimization of vibration-assisted electric discharge drilling using RSM and GA. In: Vibration assisted machining for precision micro- and nano-machining, pp. 41–52. Springer, Berlin (2022). https://doi.org/10.1007/978-981-19-0244-4_3
4. Kurniawan, D., Yan, Y., Rahman, M.: An investigation on vibration-assisted EDM drilling of inconel 718. J. Manuf. Mater. Process. 2(3), 35 (2018). https://doi.org/10.1142/S0218625X18300083
5. Singh, H., Dvivedi, A., Sharma, A.K.: Experimental investigation on ultrasonic-assisted electric discharge machining of inconel 718. J. Manuf. Processes 68, 644–657 (2022). https://doi.org/10.1007/S12647-022-00591-0
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1. Neural Network-Based Optimization of the Electrical Discharge Drilling Process Parameters;Tehnicki vjesnik - Technical Gazette;2024-08-15
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