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Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective
Carbon capture, utilization, and storage (CCUS) is a promising pathway to decarbonize
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
fossil-based power and industrial sectors and is a bridging technology for a sustainable …
Performance measurement system and quality management in data-driven Industry 4.0: A review
The birth of mass production started in the early 1900s. The manufacturing industries were
transformed from mechanization to digitalization with the help of Information and …
transformed from mechanization to digitalization with the help of Information and …
[HTML][HTML] Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Reinforced composite is a preferred choice of material for the design of industrial lightweight
structures. As of late, composite materials analysis and development utilizing machine …
structures. As of late, composite materials analysis and development utilizing machine …
Mechanical properties prediction of composite laminate with FEA and machine learning coupled method
C Zhang, Y Li, B Jiang, R Wang, Y Liu, L Jia - Composite Structures, 2022 - Elsevier
In order to predict mechanical properties of composite laminate, a method coupling finite
element analysis (FEA) and machine learning is established to analyze three examples of …
element analysis (FEA) and machine learning is established to analyze three examples of …
A novel integrated BPNN/SNN artificial neural network for predicting the mechanical performance of green fibers for better composite manufacturing
Since the mechanical properties of green cellulosic fibers are only determined
experimentally with high diversity, introducing prediction methods for such intrinsic …
experimentally with high diversity, introducing prediction methods for such intrinsic …
Is information and communications technology effective for industrial energy conservation and emission reduction? Evidence from three energy-intensive industries in …
Abstract Information and communications technology (ICT) can significantly contribute to
industrial energy conservation and emission reduction by improving production and …
industrial energy conservation and emission reduction by improving production and …
Smart manufacturing and industry 4.0: state-of-the-art review
L Kumar, RK Sharma - Handbook of smart manufacturing, 2023 - taylorfrancis.com
Businesses are being enticed to go towards implementation of smart manufacturing
practices by the realization of industry 4.0 (I4. 0). The present chapter uses systematic …
practices by the realization of industry 4.0 (I4. 0). The present chapter uses systematic …
Prediction of ultimate conditions and stress–strain behaviour of steel-confined ultra-high-performance concrete using sequential deep feed-forward neural network …
Recognising that ultra-high-performance concrete (UHPC) is gaining momentum in
structural applications, providing an accurate confinement model is essential to develo** …
structural applications, providing an accurate confinement model is essential to develo** …
Parametric analysis on explosion resistance of composite with finite element and artificial neural network
C Chen, M Li, Q Wang, R Guo, P Zhao… - Mechanics of Advanced …, 2024 - Taylor & Francis
To analyze the factors influencing the explosion resistance of composite laminates
subjected to explosive blasts in air, a finite element analysis (FEA) model was utilized. The …
subjected to explosive blasts in air, a finite element analysis (FEA) model was utilized. The …
[HTML][HTML] Design of composite rectangular tubes for optimum crashworthiness performance via experimental and ANN techniques
This paper examines the crashworthiness performance of composite rectangular tubes
using experimental and artificial neural network (ANN) techniques. Based on experimentally …
using experimental and artificial neural network (ANN) techniques. Based on experimentally …