[HTML][HTML] A Review on the Machinability Enhancement of Metal Matrix Composites by Modern Machining Processes

P Sarmah, K Gupta - Micromachines, 2024 - mdpi.com
These days, metal matrix composites (MMCs) are being widely utilized in automotive and
aerospace industries as prominent alternatives to traditional materials. Owing to their …

Prediction of surface roughness and depth of cut in abrasive waterjet milling of alumina ceramic using Machine learning algorithms

R Prabhu, M Kanthababu - Expert Systems with Applications, 2024 - Elsevier
In abrasive waterjet (AWJ) milling process, the ability to accurately predict outcomes such as
surface roughness (R a) and depth of cut (DoC) holds immense significance for cost …

[HTML][HTML] Gaussian distribution-based modeling of cutting depth predictions of kerf profiles for ductile materials machined by abrasive waterjet

J Chen, Y Yuan, H Gao, T Zhou - Materials & Design, 2023 - Elsevier
This study proposes a model for the erosion cutting profile to predict the cutting depth under
different process parameters for abrasive waterjet (AWJ) cutting. The model follows the …

Preliminary studies into cutting of a novel two component 3D-printed stainless steel–polymer composite material by abrasive water jet

T Szatkiewicz, A Perec, A Radomska-Zalas… - Materials, 2023 - mdpi.com
Composites are materials with a heterogeneous structure, composed of two or more
components with different properties. The properties of composites are never the sum or …

Prediction of surface roughness using machine learning approach for abrasive waterjet milling of alumina ceramic

P Ramesh, K Mani - The International Journal of Advanced Manufacturing …, 2022 - Springer
The present work embodies the effect of abrasive waterjet milling process parameters on
surface roughness in alumina ceramic material that is modelled with a machine learning …

The effect of machining processes on the physical and surface characteristics of AA2024-B4C-SiC hybrid nanocomposites fabricated by hot pressing method

ZA Çevik, AH Karabacak, M Kök… - Journal of …, 2021 - journals.sagepub.com
In this study, an attempt was made on the AA2024 alloy based hybrid nanocomposites
reinforced with different weight percentage of SiC and B4C particles to investigate their …

Prediction of abrasive waterjet machining parameters of military-grade armor steel by semi-empirical and regression models

S Rammohan, ST Kumaran, M Uthayakumar… - Materials, 2022 - mdpi.com
Rolled homogeneous armor steel (RHA) with a high tensile strength, toughness, and
hardness is often used in military combat vehicles. RHA is a high-strength low alloy steel …

Prediction of surface roughness using semi-empirical and regression models in machining of metal matrix composites using abrasive waterjet

M Veeraraghavan, K Mani, V Arumugam - The International Journal of …, 2022 - Springer
Prediction of surface roughness has always been a challenging task in the abrasive waterjet
machining (AWJM) of metal matrix composites (MMCs), since it involves quite a number of …

High-efficiency abrasive water jet milling of aspheric RB-SiC surface based on BP neural network depth control models

H Deng, P Yao, K Hai, S Yu, C Huang, H Zhu… - The International Journal …, 2023 - Springer
For large processing allowance of large diameter RB-SiC mirror blanks and low efficiency of
grinding, an abrasive water jet milling is used to quickly remove the processing allowance …

An experimental investigation into the potential of employing mixed eco-friendly abrasives during AWJ milling of nickel-based superalloy

NE Karkalos, P Karmiris-Obratański… - The International Journal …, 2024 - Springer
Non-conventional machining processes are capable of achieving higher performance
compared to conventional ones due to their inherent characteristics and higher amount of …