Modified teaching learning based optimization for maximization of MRR in wire-cut EDM of Ti6Al4V alloy for sustainable production
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/1.5117969
Reference22 articles.
1. Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems
2. Experimental study on accuracy and surface quality of TC2 in LS-WEDM multiple cuts
3. Parameter Optimization of Machining Processes Using a New Optimization Algorithm
4. Self-adaptive differential artificial bee colony algorithm for global optimization problems
5. Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V
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1. Investigation and prediction of machining characteristics of aerospace material through WEDM process using machine learning;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-06-11
2. Recent Research in Wire Cut Electrical Discharge Machining Process;Journal on Materials and its Characterization;2024-03-07
3. Statistical Analysis of WEDM Machining Parameters of Ti-6Al-4V Alloy Using Taguchi-Based Grey Relational Analysis and Artificial Neural Network;Experimental Techniques;2022-07-25
4. Fuzzy logic modelling of sustainable performance measure (MRR) during WEDM of Ti/6Al/4V alloy;Materials Today: Proceedings;2021
5. Experimental investigation and optimization of sustainable performance measures during wire-cut EDM of Ti-6Al-4V alloy employing preference-based TLBO algorithm;Materials and Manufacturing Processes;2020-05-27
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