A review on magnetic field assisted electrical discharge machining
Electrical discharge machining (EDM) is a thermophysical-based material removal process
that has excellent ability for noncontact machining of brittle and hard materials with accurate …
that has excellent ability for noncontact machining of brittle and hard materials with accurate …
Parameters Optimization of Electrical Discharge Machining Process Using Swarm Intelligence: A Review
Y Chen, S Hu, A Li, Y Cao, Y Zhao, W Ming - Metals, 2023 - mdpi.com
Electrical discharge machining (EDM) can use soft tool electrodes to process hard
workpieces to achieve “soft against hard”, because it directly uses electrical energy and …
workpieces to achieve “soft against hard”, because it directly uses electrical energy and …
An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training
D Karaboga, E Kaya - Applied Soft Computing, 2016 - Elsevier
In this study, we propose an Adaptive and Hybrid Artificial Bee Colony (aABC) algorithm to
train ANFIS. Unlike the standard ABC algorithm, two new parameters are utilized in the …
train ANFIS. Unlike the standard ABC algorithm, two new parameters are utilized in the …
Experimentation investigation of abrasive water jet machining parameters using Taguchi and Evolutionary optimization techniques
R Shukla, D Singh - Swarm and Evolutionary Computation, 2017 - Elsevier
In the last decade, numerous new materials are rapidly emerging and developed; it creates
considerable interest in the researcher to search out the optimum combination of machining …
considerable interest in the researcher to search out the optimum combination of machining …
Theoretical and experimental investigations of magnetic field assisted ultra-precision machining of titanium alloys
Although titanium (Ti) alloys possess unique properties that allow them to compete with
many other materials in advanced industries such as aerospace, marine and biomedical …
many other materials in advanced industries such as aerospace, marine and biomedical …
[HTML][HTML] Friction stir welding parameter optimization using novel multi objective dragonfly algorithm
Friction stir welding (FSW) is a type of welding in which the joint is made in the solid phase
using the heat generated through friction. FSW is used to produce welds with superior …
using the heat generated through friction. FSW is used to produce welds with superior …
A comparative investigation on magnetic field–assisted EDM of magnetic and non-magnetic materials
Assisted magnetic field is an important technique, successfully applied to electrical
discharge machining process. In this paper, a comparative study of magnetic field–assisted …
discharge machining process. In this paper, a comparative study of magnetic field–assisted …
Multi-response optimization in WEDM process of Al–Si alloy using TLBO-graph theory algorithm towards sustainability
One of the challenges facing manufacturing industries is optimizing the power consumption
for the development of sustainable manufacturing processes. To precisely measure the wire …
for the development of sustainable manufacturing processes. To precisely measure the wire …
Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm
The identification of real-world plants and processes, which are nonlinear in nature,
represents a challenging problem. Currently, the Hammerstein model is one of the most …
represents a challenging problem. Currently, the Hammerstein model is one of the most …
Optimization of Rotary-Magnet assisted ECSM on borosilicate-glass using machine learning
Owing to the incapability of the existing techniques, Electrochemical Spark Machining
(ECSM) is transpiring to micro machine the glass for potential applications in micro domain …
(ECSM) is transpiring to micro machine the glass for potential applications in micro domain …