Recent advances on machine learning applications in machining processes

F Aggogeri, N Pellegrini, FL Tagliani - Applied sciences, 2021 - mdpi.com
This study aims to present an overall review of the recent research status regarding Machine
Learning (ML) applications in machining processes. In the current industrial systems …

Design, modeling and parametric optimization of WEDM of Inconel 690 using RSM-GRA approach

A Raj, JP Misra, D Khanduja, KK Saxena… - International Journal on …, 2024 - Springer
Wire electric-discharge machining (WEDM) is the most desirable material processing
technique for making complex designs, especially in hard-to-machine conductive materials …

A review on conventional and nonconventional machining of Nickel-based Nimonic superalloy

G Prasad, R Kamath, GS Vijay - Manufacturing Review, 2023 - mfr.edp-open.org
Superalloys have gained prominence in recent years in various sectors, namely, spacecraft,
marine, power, defense, vehicular and others, due to their ability to withstand high …

[HTML][HTML] AISI D2 steel machining and manufacturing process optimization for tooling applications in biomedical industry

M Tlija, T Rashid, M Sana, MU Farooq, MI Ammarullah - AIP Advances, 2024 - pubs.aip.org
Tool steels such as AISI D2 are famous in the manufacturing industry because of their
engineering applications. The precise interplay of improved hardness and toughness makes …

Software modeling environment for solving problems of structurally inhomogeneous materials

V Pasternak, A Ruban, M Surianinov… - Materials Science …, 2022 - Trans Tech Publ
In this scientific study, the main properties of structurally inhomogeneous materials are
predicted by computer modelling methods. The automatic combination of a scanning …

Parametric analysis and multi-objective optimization for machining complex features on D2 and DC53 steels for tooling applications

S Hassan, M Asad, M Sana, MU Farooq… - Journal of Materials …, 2024 - Springer
Abstract Hardened AISI D2 and DC53 tool steel has widespread applications in the tool and
die-making industry. Conventional machining of D series tool steels is challenging due to …

Prediction of Manning's coefficient of roughness for high-gradient streams using M5P

P Sihag, B Singh, MABM Said, HM Azamathulla - Water Supply, 2022 - iwaponline.com
The coefficient of Manning's roughness (n) has been generally implemented in the
determination of depth and discharge in open channels and canals. This study unravels the …

Surface roughness modeling using machine learning approaches for wire electro-spark machining of titanium alloy

V Sharma, JP Misra, S Singhal - International Journal of Structural …, 2022 - emerald.com
Purpose In the present study, wire electro-spark machining of Titanium alloy is performed
with the machining parameter such as spark-on time, spark-off time, current and servo …

A study of wire tool surface topography and optimization of wire electro-spark machined UNS N06690 using the federated mode of RSM-ANN

A Raj, JP Misra, D Khanduja… - International Journal of …, 2022 - emerald.com
Purpose The purpose of this study is to examine the postprocessed wire tool surface using
scanning electron microscopy and find out the streamlined conditions of input process …

Development of the effective information and analytical support of the OSH management system

O Kruzhilko, V Maystrenko, V Kalinchyk… - … of Achievements in …, 2020 - journalamme.org
Purpose: Studying urgent problems in the OSH management field in the in European
countries to create effective information and analytical support for the OSH management …