Centrifugally cast functionally graded materials: Fabrication and challenges for probable automotive cylinder liner application

A Mallick, SG Setti, RK Sahu - Ceramics International, 2023 - Elsevier
In response to stringent environmental rules and rising public awareness, internal
combustion (IC) engines have undergone fast improvement to reduce friction and wear in …

Liquid Metal Alloy Catalysis–Challenges and Prospects

M Ameen, F Jabbar, D Yang, M Irfan… - …, 2023 - Wiley Online Library
Significant progress has been made in recent years in the development of liquid metal alloy
catalysts. This article provides an overview of the state‐of‐the‐art research pertaining to …

Machine learning-enabled optimization of interstitial fluid collection via a sweeping microneedle design

C Tarar, E Aydın, AK Yetisen, S Tasoglu - ACS omega, 2023 - ACS Publications
Microneedles (MNs) allow for biological fluid sampling and drug delivery toward the
development of minimally invasive diagnostics and treatment in medicine. MNs have been …

Evaluation of machine learning techniques to select marine oil spill response methods under small-sized dataset conditions

S Mohammadiun, G Hu, AA Gharahbagh, J Li… - Journal of Hazardous …, 2022 - Elsevier
Oil spill incidents can significantly impact marine ecosystems in Arctic/subarctic areas. Low
biodegradation rate, harsh environments, remoteness, and lack of sufficient response …

A new approach based on 2D wavelet transform in the analysis of wettability behavior and evaporation rate for the surface of PTFE dielectric material used in high …

M Karhan, Ö Arslan - Colloids and Surfaces A: Physicochemical and …, 2024 - Elsevier
In this study, a new approach based on 2D wavelet transform is proposed for the analysis of
wettability behavior and evaporation rate. Droplet images were taken from the PTFE …

Modeling and prediction of surface free energy of pavement materials based on a single probe liquid using artificial neural network

MA Dalhat - Surfaces and Interfaces, 2024 - Elsevier
Surface free energy (SFE) is a vital material property employed for the assessment of
various pavement performances such as asphalt-aggregate adhesion, moisture resistance …

An ensemble prognostic method of Francis turbine units using low-quality data under variable operating conditions

R Duan, J Liu, J Zhou, P Wang, W Liu - Sensors, 2022 - mdpi.com
The prognostic is the key to the state-based maintenance of Francis turbine units (FTUs),
which consists of performance state evaluation and degradation trend prediction. In practical …

Research on modeling and optimization method of cement clinker calcination process based on EGPR model and steady state detection

R Zhang, X Wang, H Yu - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a modeling and optimization method for cement clinker calcination
process based on gaussian process regression ensemble (EGPR) model and steady-state …

[HTML][HTML] Jaya algorithm hybridized with extreme gradient boosting to predict the corrosion-induced mass loss of agro-waste based monolithic and Ni-reinforced porous …

TT Dele-Afolabi, DW Jung, M Ahmadipour… - Journal of Materials …, 2024 - Elsevier
Chemical attack is one of the most significant issues affecting porous ceramic systems
employed as membranes for separation technologies, which necessitate frequent system …

[HTML][HTML] Laser powder bed fusion process optimization of CoCrMo alloy assisted by machine-learning

H Li, B Song, Y Wang, J Zhang, W Zhao… - Journal of Materials …, 2024 - Elsevier
Gaussian process regression (GPR) model of machine learning method was employed to
identify the optimal process window for high-performance CoCrMo alloy in laser powder bed …