Towards the next generation of machine learning models in additive manufacturing: A review of process dependent material evolution
Additive manufacturing facilitates producing of complex parts due to its design freedom in a
wide range of applications. Despite considerable advancements in additive manufacturing …
wide range of applications. Despite considerable advancements in additive manufacturing …
Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review
C Zhang, Z Wang, G Zhou, F Chang, D Ma… - Advanced Engineering …, 2023 - Elsevier
As businesses started to embrace Industry 4.0, along came the Fifth Industrial Revolution.
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …
Machine learning-assisted ultrafast flash sintering of high-performance and flexible silver–selenide thermoelectric devices
Flexible thermoelectric generators (TEGs) have shown immense potential for serving as a
power source for wearable electronics and the Internet of Things. A key challenge …
power source for wearable electronics and the Internet of Things. A key challenge …
Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectives
Today's manufacturing processes are pushed to their limits to generate products with ever-
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …
increasing quality at low costs. A prominent hurdle on this path arises from the multiscale …
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
Additive manufacturing (AM) techniques are maturing and penetrating every aspect of the
industry. With more and more design, process, structure, and property data collected …
industry. With more and more design, process, structure, and property data collected …
Directed energy deposition of pure copper using blue laser
Additive manufacturing (AM) technology has progressed dramatically over the last decade,
allowing for rapid manufacturing of components with complex geometries and diverse …
allowing for rapid manufacturing of components with complex geometries and diverse …
Recent Advancements in Design Optimization of Lattice‐Structured Materials
Metamaterials, also known as lattice‐structured materials, imitate the multifunctionality of
natural architects as tailoring their physical properties is associated with manipulating their …
natural architects as tailoring their physical properties is associated with manipulating their …
Predicting defects in laser powder bed fusion using in-situ thermal imaging data and machine learning
Variation in the local thermal history during the Laser Powder Bed Fusion (LPBF) process in
Additive Manufacturing (AM) can cause micropore defects, which add to the uncertainty of …
Additive Manufacturing (AM) can cause micropore defects, which add to the uncertainty of …
[HTML][HTML] Predictions of additive manufacturing process parameters and molten pool dimensions with a physics-informed deep learning model
M Zhao, H Wei, Y Mao, C Zhang, T Liu, W Liao - Engineering, 2023 - Elsevier
Molten pool characteristics have a significant effect on printing quality in laser powder bed
fusion (PBF), and quantitative predictions of printing parameters and molten pool …
fusion (PBF), and quantitative predictions of printing parameters and molten pool …
Advanced ocean wave energy harvesting: current progress and future trends
With a transition towards clean and low-carbon renewable energy, against the backdrop of
the fossil-energy crisis and rising pollution, ocean energy has been proposed as a …
the fossil-energy crisis and rising pollution, ocean energy has been proposed as a …