Optimization of material removal rate of Ti-6Al-4V using Rao-1 algorithm
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference22 articles.
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1. Artificial neural networks-based modelling of effects of cryogenic electrode treatment, nano-powder, and surfactant-mixed dielectrics on wear performance and dimensional errors on superalloy machining;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2024-08-07
2. Modelling and optimization of fabrication parameters for multi-walled carbon nanotubes-filled GFRP composites using RSM and Rao-1 algorithm;Engineering Research Express;2024-06-01
3. An investigative study on the parameters optimization of the electric discharge machining of Ti6Al4V;Clean Technologies and Recycling;2024
4. Experimental modeling techniques in electrical discharge machining (EDM): A review;The International Journal of Advanced Manufacturing Technology;2023-06-06
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