Wire EDM process optimization for machining AISI 1045 steel by use of Taguchi method, artificial neural network and analysis of variances
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-020-00990-z.pdf
Reference79 articles.
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3. Bagherian Azhiri R et al (2014) Application of Taguchi, ANFIS and grey relational analysis for studying, modeling and optimization of wire EDM process while using gaseous media. Int J Adv Manuf Technol 71(1–4):279–295. https://doi.org/10.1007/s00170-013-5467-y
4. BesterField DH et al (2015) Total quality management, 4th edn. Pearson, London
5. Camposeco-Negrete C (2019) Prediction and optimization of machining time and surface roughness of AISI O1 tool steel in wire-cut EDM using robust design and desirability approach. Int J Adv Manuf Technol 103(5–8):2411–2422. https://doi.org/10.1007/s00170-019-03720-3
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