A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys

M Sarıkaya, MK Gupta, I Tomaz, DY Pimenov… - CIRP Journal of …, 2021 - Elsevier
Today, superalloys (also known as hard-to-cut materials) such as nickel, titanium and cobalt
based cover a wide range of areas in engineering applications. At the same time …

Particle swarm optimisation in designing parameters of manufacturing processes: A review (2008–2018)

TV Sibalija - Applied Soft Computing, 2019 - Elsevier
The evolutionary optimisation algorithms appeared as an effective alternative to
conventional statistical methods that have certain limitations in optimising complex …

Application of adaptive reliability importance sampling-based extended domain PSO on single mode failure in reliability engineering

B Bai, Z Guo, C Zhou, W Zhang, J Zhang - Information Sciences, 2021 - Elsevier
The failures of mechanical structure featuring high nonlinearity, non-normal and non-
independent are implicit function and small-probability events. This normally results in low …

Modeling and optimization of tool wear in MQL-assisted milling of Inconel 718 superalloy using evolutionary techniques

GR Singh, MK Gupta, M Mia, VS Sharma - The International Journal of …, 2018 - Springer
The Inconel 718 alloy, a difficult-to-cut superalloy with an extensive demand on aircraft and
nuclear industries, being a low thermally conductive material exhibits a poor machinability …

Application of signal to noise ratio and grey relational analysis to minimize forces and vibrations during precise ball end milling

S Wojciechowski, RW Maruda, GM Krolczyk… - Precision …, 2018 - Elsevier
In this paper, a method for the minimization of cutting forces and vibrations during precise
ball end milling of hardened 55NiCrMoV6 steel is developed. The aim of this work …

Prediction and optimization of machining energy, surface roughness, and production rate in SKD61 milling

TT Nguyen - Measurement, 2019 - Elsevier
This work presents the highly nonlinear relationships between processing conditions and
the specific cutting energy, arithmetical mean roughness, and means roughness depth with …

Experimental investigations and multi-objective optimization of MQL-assisted milling process for finishing of AISI 4340 steel

M Muaz, SK Choudhury - Measurement, 2019 - Elsevier
The purpose of this study is to investigate solid lubricant-assisted cutting fluids applied
through minimum quantity lubrication technique (MQL) for nano-finishing of AISI 4340 steel …

Machining-induced residual stress analysis and multi-objective optimization for milling process of Mg–Li alloy

Z Chen, L Qian, R Cui, J Liu, Q Zhang - Measurement, 2022 - Elsevier
Machining-induced residual stress in an Mg–Li alloy can lead to a significant deformation of
its machined thin-walled parts. To solve this issue, an integrated method that combined the …

Knowledge-based neural network for surface roughness prediction of ball-end milling

J Wang, T Chen, D Kong - Mechanical Systems and Signal Processing, 2023 - Elsevier
Theoretical modeling for surface roughness of ball-end milling generally results in low
prediction accuracy due to the lack of machining information, excessive computational costs …

Optimisation of multiple response characteristics on end milling of aluminium alloy using Taguchi-Grey relational approach

JU Pillai, I Sanghrajka, M Shunmugavel… - Measurement, 2018 - Elsevier
Abstract Computer Aided Manufacturing improves productivity in the modern manufacturing
environment, however optimisation of numerous factors involved in automated …