[HTML][HTML] Investigation and TGRA based optimization of laser beam drilling process during machining of Nickel Inconel 718 alloy

G Alsoruji, T Muthuramalingam, EB Moustafa… - Journal of Materials …, 2022 - Elsevier
In this present study, an effort is needed to build a decision-making process based on
multiple criteria in laser beam drilling process for enhancing machining process measures of …

Prediction of milled surface characteristics of carbon fiber-reinforced polyetheretherketone using an optimized machine learning model by gazelle optimizer

W Rajhi, AMM Ibrahim, AHI Mourad, M Boujelbene… - Measurement, 2023 - Elsevier
Motivated by the nonlinear behavior of composite materials under different machining
operations, this work aims at develo** an optimized artificial intelligence model to predict …

Prediction and optimization kerf width in laser beam machining of titanium alloy using genetic algorithm tuned adaptive neuro-fuzzy inference system

M Ji, M Thangaraj, S Devaraj, R Machnik… - … International Journal of …, 2024 - Springer
In the power diode laser beam machining (DLBM) process, the kerf width (KW) and surface
roughness (SR) are important factors in evaluating the cutting quality of the machined …

[HTML][HTML] Develo** meso and microholes by spark-erosion based drilling processes: a critical review

SK Chaubey, K Gupta - Micromachines, 2022 - mdpi.com
The increased demand for miniature components has drawn the attention of researchers,
engineers, and industry users to manufacture precision micro and mesoholes on foils …

Investigation of surface quality in Cost of Goods Manufactured (COGM) method of μ-Al2O3 Powder-Mixed-EDM process on machining of Ti-6Al-4V

A Taherkhani, MA Ilani, F Ebrahimi, PN Huu… - … International Journal of …, 2021 - Springer
The high strength and hard-to-cut materials can be easily machined by using modern
machining methods. It is important to introduce the efforts on enhancing the process for …

Experimental investigation for minimizing circularity and surface roughness under nano graphene mixed dielectric EDM exercising fuzzy-ANFIS approach

A Goyal, D Sharma, A Bhowmick, VK Pathak - International Journal on …, 2022 - Springer
The present work aims to study the influence of adding nano graphene powder in dielectric
on the circularity and surface roughness of nickel super alloy (Inconel 718) during electrical …

Predicting depth of cut in vibration-assisted EDM cutting on titanium alloy using adaptive neuro fuzzy inference system

M Ji, T Muthuramalingam, D Saravanakumar… - Measurement, 2023 - Elsevier
In vibration assisted electrical discharge machining (VEDM) process, the depth of cut (DoC)
affects the quality of the machined specimens. It is very important to predict this parameter …

Comprehensive stratified k-fold machine learning for surface roughness prediction with 3d printed electrodes: Analyzing dielectric variability and heat treatment effects

R Rakshaskar, K Chidambaram - Materials Today Communications, 2024 - Elsevier
Electrical discharge machining (EDM) is popular for its accuracy in cutting difficult materials.
Material removal rate (MRR), electrode wear ratio (EWR) and surface roughness (SR) are …

A study of added sic powder in kerosene for the blind square hole machining of cfrp using electrical discharge machining

PVA Kumar, J Vivek, N Senniangiri, S Nagarajan… - Silicon, 2022 - Springer
Abstract Carbon Fiber Reinforced Polymers (CFRPs) have been applied potentially for
various application components owing to their lightweight and better mechanical properties …

Study of the structure and mechanical properties after electrical discharge machining with composite electrode tools

TR Ablyaz, ES Shlykov, KR Muratov, IV Osinnikov - Materials, 2022 - mdpi.com
Our study was devoted to increasing the efficiency of electrical discharge machining of high-
quality parts with a composite electrode tool. We analyzed the chemical composition of the …