A comparative study of linear, random forest and adaboost regressions for modeling non-traditional machining
Non-traditional machining (NTM) has gained significant attention in the last decade due to
its ability to machine conventionally hard-to-machine materials. However, NTMs suffer from …
its ability to machine conventionally hard-to-machine materials. However, NTMs suffer from …
Predictive modelling framework on the basis of artificial neural network: a case of nano-powder mixed electric discharge machining
In this modern era where Industry 4.0, plays a crucial role in enhancing productivity, quality,
and resource utilization by digitalizing and providing smart operation to industrial systems …
and resource utilization by digitalizing and providing smart operation to industrial systems …
Machine learning techniques for smart manufacturing: a comprehensive review
The smart manufacturing revolution is continuously enabling the manufacturers to achieve
their prime goal of producing more and more products with higher quality at a minimum cost …
their prime goal of producing more and more products with higher quality at a minimum cost …
Estimation of machinability performance in wire-EDM on titanium alloy using neural networks
UMR Paturi, S Cheruku, S Salike… - Materials and …, 2022 - Taylor & Francis
The impact of process factors on wire-cut electrical discharge machining (WEDM)
performance is complex and nonlinear. In the present work, initially, the WEDM tests were …
performance is complex and nonlinear. In the present work, initially, the WEDM tests were …
Artificial intelligence–built analysis framework for the manufacturing sector: performance optimization of wire electric discharge machining system
In the era of industry 4.0, digitalization and smart operation of industrial systems contribute to
higher productivity, improved quality, and efficient resource utilization for industrial …
higher productivity, improved quality, and efficient resource utilization for industrial …
Multi-objective optimization of wire electrical discharge machining process using multi-attribute decision making techniques and regression analysis
M Seidi, S Yaghoubi, F Rabiei - Scientific Reports, 2024 - nature.com
Wire electrical discharge machining (WEDM) is one of the most important non-traditional
machining methods that is widely used in various industries. The present research work is …
machining methods that is widely used in various industries. The present research work is …
Machine learning algorithms evaluation and optimization of WEDM of nickel based super alloy: A review
AK Sehgal, SS Nain - Materials Today: Proceedings, 2022 - Elsevier
WEDM commonly used in numerous industries, including as aerospace and aeronautics, to
make superior-quality products at minimal cost and weight while maintaining high accuracy …
make superior-quality products at minimal cost and weight while maintaining high accuracy …
Machine learning-based optimization of geometrical accuracy in wire cut drilling
M Ghasempour-Mouziraji, M Hosseinzadeh… - … International Journal of …, 2022 - Springer
Wire cut electrical discharge machining (EDM) equipment is run by computer numerically
controlled (CNC) instruments and it is widely used in various industries such as aerospace …
controlled (CNC) instruments and it is widely used in various industries such as aerospace …
Prediction of Surface Roughness of Monel K 500 Super Alloy by Using Artificial Neural Network
The surface roughness is a feature that is of tremendous relevance in the assessment of
cutting performance, and it plays an essential part in the manufacturing process as well. In …
cutting performance, and it plays an essential part in the manufacturing process as well. In …
Estimation of surface roughness of direct metal laser sintered AlSi10Mg using artificial neural networks and response surface methodology
UMR Paturi, DG Vanga, RB Duggem… - Materials and …, 2023 - Taylor & Francis
Direct metal laser sintering (DMLS) is a metal-specific additive manufacturing (AM)
technique that has grown in efficiency and precision due to compelling advancements in …
technique that has grown in efficiency and precision due to compelling advancements in …