Comprehensive approach toward IIoT based condition monitoring of machining processes

RA Laghari, S Mekid - Measurement, 2023 - Elsevier
This comprehensive review aims to achieve and develop an automated platform to acquire
and process data for error compensation in CNC manufacturing. The Industrial Internet of …

Application of artificial intelligence techniques in incremental forming: a state-of-the-art review

A Nagargoje, PK Kankar, PK Jain, P Tandon - Journal of Intelligent …, 2023 - Springer
Incremental forming (IF) is one of the novel manufacturing processes that has gained much
attention from researchers and practitioners. As a result, various analytical and numerical …

[HTML][HTML] Effects of turning parameters and parametric optimization of the cutting forces in machining SiCp/Al 45 wt% composite

RA Laghari, J Li, M Mia - Metals, 2020 - mdpi.com
Cutting force in the machining process of SiCp/Al particle reinforced metal matrix composite
is affected by several factors. Obtaining an effective mathematical model for the cutting force …

[HTML][HTML] Modeling and optimization of cutting forces and effect of turning parameters on SiCp/Al 45% vs SiCp/Al 50% metal matrix composites: a comparative study

RA Laghari, J Li - SN Applied Sciences, 2021 - Springer
In this study, the proposed experimental and second-order model for the cutting forces were
developed through several parameters, including cutting speed, feed rate, depth of cut, and …

The prediction method of tool life on small lot turning process–Development of Digital Twin for production

SM Bazaz, M Lohtander, J Varis - Procedia manufacturing, 2020 - Elsevier
Saving resources is one of the most significant factors in the manufacturing industry. There
are in the factory, several different products under processing at the same time, therefore the …

Tribological and machining characteristics of milling SiCp/Al MMC composites under sustainable cooling conditions

RA Laghari, N He, M Jamil, MK Gupta - The International Journal of …, 2023 - Springer
SiC particle-based aluminum matrix (SiCp/Al 20%) is characterized by poor surface quality,
high cutting forces, and accelerated tool wear during machining. Environmentally friendly …

[HTML][HTML] Research on using an unconventional tool for increasing tool life by selective exchange of worn cutting edge

T Mikolajczyk, T Paczkowski, M Kuntoglu, AD Patange… - Applied Sciences, 2022 - mdpi.com
This paper proposes a novel scheme titled 'selective exchange of the worn cutting edge
(SEWCE),'which uses the cutting edge for an extended time by replacing the worn-out edge …

[HTML][HTML] A new residual dense network for dance action recognition from heterogeneous view perception

X Yang, Y Lyu, Y Sun, C Zhang - Frontiers in Neurorobotics, 2021 - frontiersin.org
At present, part of people's body is in the state of sub-health, and more people pay attention
to physical exercise. Dance is a relatively simple and popular activity, it has been widely …

Applications of artificial neural networks in machining processes: a comprehensive review

S Chakraborty, S Chakraborty - International Journal on Interactive Design …, 2024 - Springer
In the present era of artificial intelligence and machine learning, artificial neural networks
(ANNs) have appeared as one of the potent tools in modeling the complex nonlinear …

A Review on Machining SiCp/Al Composite Materials

Z Chen, F Ding, Z Zhang, Q Liao, Z Qiao, Y Jin, M Chen… - Micromachines, 2024 - mdpi.com
SiCp/Al composite materials are widely used in various industries such as the aerospace
and the electronics industries, primarily due to their excellent material properties. However …