Transition from EDM to PMEDM–impact of suspended particulates in the dielectric on Ti6Al4V and other distinct material surfaces: a review
The emergence and establishment of electrical discharge machining (EDM) have aided as a
practical solution for the processing of advanced materials, including superalloys, viz …
practical solution for the processing of advanced materials, including superalloys, viz …
A critical review on applications of artificial intelligence in manufacturing
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine's parameters
H Gholizadeh, AM Fathollahi-Fard… - Expert Systems with …, 2022 - Elsevier
An electrical discharge machine (EDM) has a high impact on production management, with
its process having many advantages over conventional machining processes, including the …
its process having many advantages over conventional machining processes, including the …
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities
E Quatrini, F Costantino, G Di Gravio… - Journal of Manufacturing …, 2020 - Elsevier
Anomaly detection is a crucial aspect for both safety and efficiency of modern process
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …
Electric discharge machining of titanium and its alloys
Electric discharge machining (EDM) is one of the leading edge machining processes
successfully used to machine hard-to-cut materials in wide range of industrial applications. It …
successfully used to machine hard-to-cut materials in wide range of industrial applications. It …
Prediction and optimization of surface roughness and micro-hardness using grnn and MOORA-fuzzy-a MCDM approach for nitinol in WEDM
H Majumder, K Maity - Measurement, 2018 - Elsevier
The unique ability of shape memory alloy or smart alloy to memorize its previous form has
drawn notable attention recently in a wide range of commercial applications. In efforts to …
drawn notable attention recently in a wide range of commercial applications. In efforts to …
Fuzzy logic for modeling machining process: a review
The application of artificial intelligence (AI) techniques in modeling of machining process
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …
Experimental modeling techniques in electrical discharge machining (EDM): A review
Electrical discharge machining (EDM) is a widely used non-conventional machining
technique in manufacturing industries, capable of accurately machining electrically …
technique in manufacturing industries, capable of accurately machining electrically …
[HTML][HTML] Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach
Surface integrity remains one of the major areas of concern in electric discharge machining
(EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is …
(EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is …
Application of GRNN and multivariate hybrid approach to predict and optimize WEDM responses for Ni-Ti shape memory alloy
H Majumder, K Maity - Applied Soft Computing, 2018 - Elsevier
The current investigation aims at highlighting the application potential of a smart
approximation tool, which is general regression neural network (GRNN) during machining of …
approximation tool, which is general regression neural network (GRNN) during machining of …