Metal cutting lubricants and cutting tools: a review on the performance improvement and sustainability assessment

AH Abdelrazek, IA Choudhury, Y Nukman… - The International Journal …, 2020 - Springer
The quality enhancement during massive production of the traditional machining products is
a risky challenge when the cost and environmental impact must be considered. The tool life …

Application of the wavelet transform to acoustic emission signals for built-up edge monitoring in stainless steel machining

YS Ahmed, AFM Arif, SC Veldhuis - Measurement, 2020 - Elsevier
Built-up edge (BUE) has a significant influence on the process outputs of machining.
Unstable BUE can damage the cutting tool edge and adversely affect the machined …

Review of cooling techniques used in metal cutting processes

P Kawade, S Bokade - Advances in Materials and Processing …, 2023 - Taylor & Francis
Selection of proper cooling system for respective machining is one of the critical problems
among manufacturers, which can reduce cutting tool wear and cutting temperature-related …

A comparative study on the machining characteristics on turning AISI 52100 alloy steel in dry and microlubrication condition

S Rajarajan, C Ramesh Kannan… - Australian Journal of …, 2022 - Taylor & Francis
This paper elucidates the outcome of machining factors specifically cutting velocity, feed rate
and depth of cut on the machining characteristics such as surface roughness and tool-work …

Exploring the Impact of the Turning of AISI 4340 Steel on Tool Wear, Surface Roughness, Sound Intensity, and Power Consumption under Dry, MQL, and Nano-MQL …

Y Fedai - Lubricants, 2023 - mdpi.com
Optimizing input parameters not only improves production efficiency and processing quality
but also plays a crucial role in the development of green manufacturing engineering …

A hybridization of machine learning and NSGA-II for multi-objective optimization of surface roughness and cutting force in AISI 4340 alloy steel turning

AT Nguyen, VH Nguyen, TT Le… - Journal of Machine …, 2023 - yadda.icm.edu.pl
This work focuses on optimizing process parameters in turning AISI 4340 alloy steel. A
hybridization of Machine Learning (ML) algorithms and a Non-Dominated Sorting Genetic …

[HTML][HTML] Data-set collected during turning operation of AISI 1045 alloy steel with green cutting fluids in near dry condition

MS Dennison, MM Umar - Data in Brief, 2020 - Elsevier
This work is to explicate the data collected during the turning of AISI 1045 alloy steel
components in near dry condition with emulsified cutting fluids prepared from cooking oils …

Influence of the Friction Stir Process on the Corrosion Resistance, Machining, and Mechanical Properties of Al6101‐SiC Composite

H Kshatri, M Rajasekhar, KR Mallela… - … in Materials Science …, 2023 - Wiley Online Library
In this study, friction stir processing (FSP) was used to create new surface properties of the
Al 6101‐SiC composite, and different types of friction stir process tools are used like …

[HTML][HTML] Numerical investigation of dimple-texturing on the turning performance of hardened AISI H-13 steel

G Vignesh, D Barik, S Aravind, P Ragupathi… - International Journal for …, 2022 - ijsmdo.org
Forming micro-dimples nearer to the cutting edge on the rack face of the tungsten carbide
cutting inserts will positively influence the machinability. However, it is challenging to …

Measurement, modelling and optimization of the average temperature at the tool work interface for turning of AISI 1040 steel using ANN-GA methodology

VK Singh, C Kumar, G Besra… - Engineering …, 2021 - iopscience.iop.org
Due to the mechanical properties and machinability of AISI 1040 steel, it has a broad range
of industrial applicability. The present work investigates the dependence of the average …