Ecological function performance analysis and multi-objective optimization for an endoreversible four-reservoir chemical pump

L Chen, S Shi, Y Ge, H Feng - Energy, 2023 - Elsevier
Ecological function (E 1) based on energy analysis is introduced into endoreversible four-
reservoir chemical pump model. Optimization relationship between E 1 and coefficient of …

A bibliometric analysis and review of supercritical fluids for the synthesis of nanomaterials

W Su, H Zhang, Y Xing, X Li, J Wang, C Cai - Nanomaterials, 2021 - mdpi.com
Since the 1990s, supercritical fluids for the synthesis of nanomaterials have been paid more
and more attention by researchers and have gradually become one of the most important …

Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants

WM Ashraf, GM Uddin, HA Ahmad, MA Jamil… - Energy Conversion and …, 2022 - Elsevier
A large power generation facility is a complex multi-criteria system associated with
multivariate couplings, high dependency, and non-linearity among the operating variables …

An integrated interval type 2 fuzzy AHP and COPRAS-G methodologies for supplier selection in the era of Industry 4.0

S Kayapinar Kaya, E Aycin - Neural Computing and Applications, 2021 - Springer
Supply chain has a very extensive and dynamic structure that incorporates new business
models, new customer expectations, market searches and technological developments. With …

Challenges and opportunities for achieving operational sustainability of boilers in the context of industry 4.0

SB Payel, SMF Ahmed, N Taseen… - … Journal of Industrial …, 2023 - journal.ump.edu.my
This research aims to explore the challenges and opportunities for achieving operational
sustainability of boilers in the context of Industry 4.0, using the Stepwise Weight Assessment …

Strategic-level performance enhancement of a 660 MWe supercritical power plant and emissions reduction by AI approach

WM Ashraf, GM Uddin, SM Arafat, J Krzywanski… - Energy Conversion and …, 2021 - Elsevier
Power plant heat rate is a plant level performance parameter that indicates the economy of
power production, equipment's safety, and availability. In this paper, seven operating …

Enviro-economic assessment of HHO–CNG mixture utilization in spark ignition engine for performance and environmental sustainability

M Usman, MAI Malik, R Bashir, F Riaz, MJ Raza… - Energies, 2022 - mdpi.com
Road transportation has received the attention of researchers due to its higher carbon
footprint. Alternative fuels present major advantages in terms of environmental sustainability …

[HTML][HTML] Artificial intelligence driven smart operation of large industrial complexes supporting the net-zero goal: Coal power plants

WM Ashraf, V Dua - Digital Chemical Engineering, 2023 - Elsevier
The true potential of artificial intelligence (AI) is to contribute towards the performance
enhancement and informed decision making for the operation of the large industrial …

Enhancing EDM machining precision through deep cryogenically treated electrodes and ANN modelling approach

K Ishfaq, M Sana, MU Waseem, WM Ashraf, S Anwar… - Micromachines, 2023 - mdpi.com
The critical applications of difficult-to-machine Inconel 617 (IN617) compel the process to be
accurate enough that the requirement of tight tolerances can be met. Electric discharge …

Deep Gaussian mixture adaptive network for robust soft sensor modeling with a closed-loop calibration mechanism

X Zhang, C Song, J Zhao, Z Xu - Engineering Applications of Artificial …, 2023 - Elsevier
Process drift leads to an out-of-distribution problem between historical training data and
online deployment data, which deteriorates the performance of soft sensors. Unfortunately …