[HTML][HTML] Machine learning for polymer composites process simulation–a review
Over the last 20 years Machine Learning (ML) has been applied to a wide variety of
applications in the fields of engineering and computer science. In the field of material …
applications in the fields of engineering and computer science. In the field of material …
Digital twin enhanced fault prediction for the autoclave with insufficient data
Since any faulty operations could directly affect the composite property, making early
prognosis is particularly crucial for complex equipment. At present, data-driven approach …
prognosis is particularly crucial for complex equipment. At present, data-driven approach …
[HTML][HTML] Digital-twin-enhanced quality prediction for the composite materials
Composite materials are widely used in many fields due to their excellent properties. Quality
defects in composite materials can lead to lower quality components, creating potential risk …
defects in composite materials can lead to lower quality components, creating potential risk …
A novel thermal-fluid topology optimization of the frame mold for composite autoclave process
Frame mold serves as an important tool during autoclave process of composite panels. Its
temperature uniformity plays a crucial role in guaranteeing the production quality. However …
temperature uniformity plays a crucial role in guaranteeing the production quality. However …
Design optimization of molds for autoclave process of composite manufacturing
Autoclave process is widely used in manufacturing processes for thermosetting matrix
composite materials. During the process, the non-uniformity of temperature distribution in …
composite materials. During the process, the non-uniformity of temperature distribution in …
Modelling of residual stress during curing of a polymer under autoclave conditions and experimental validation
This study develops a multi-scale predictive framework to study the cure kinetics of a
polymeric resin under autoclave conditions. The novelty of the study includes evaluation of …
polymeric resin under autoclave conditions. The novelty of the study includes evaluation of …
A physical model and data-driven hybrid prediction method towards quality assurance for composite components
Since composite components have been used in many fields with high-performance
requirements, their quality is always of great concern. During production, improving …
requirements, their quality is always of great concern. During production, improving …
Hysteretic behavior of geopolymer concrete with active confinement subjected to monotonic and cyclic axial compression: an experimental study
H Wang, Y Wu, M Wei, L Wang, B Cheng - Materials, 2020 - mdpi.com
This paper investigated the performance of actively confined geopolymer concrete (GPC)
through experiments. The mechanical properties of GPC under triaxial stress states were …
through experiments. The mechanical properties of GPC under triaxial stress states were …
Effects of heat transfer coefficient variations on composite curing
Curing of composite laminates in a vessel was investigated in this study. The environment
inside the processing vessel dictates the efficiency and ultimately drives the quality of …
inside the processing vessel dictates the efficiency and ultimately drives the quality of …
[HTML][HTML] Inverse modeling of thermal boundary conditions in commercial aircrafts based on Green's function and regularization method
L Lei, H Zheng, Y Xue, W Liu - Building and Environment, 2022 - Elsevier
To quantify the thermal environment in a commercial aircraft, the accurate estimation of the
thermal boundary conditions is very critical. However, there is no fast and accurate method …
thermal boundary conditions is very critical. However, there is no fast and accurate method …