Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Powder bed monitoring via digital image analysis in additive manufacturing
Due to the nature of Selective Laser Melting process, the built parts suffer from high chances
of defects formation. Powders quality have a significant impact on the final attributes of SLM …
of defects formation. Powders quality have a significant impact on the final attributes of SLM …
A deep learning-based approach for segmentation and identification of δ phase for Inconel 718 alloy with different compression deformation
N Wang, H Guan, J Wang, J Zhou, W Gao… - Materials Today …, 2022 - Elsevier
Accurate control of δ phase content, distribution, and morphology is crucial for guiding the
processing schemes to form an alloy with desirable properties. Traditional methods for …
processing schemes to form an alloy with desirable properties. Traditional methods for …
A novel approach for defect detection of wind turbine blade using virtual reality and deep learning
MF Rabbi - 2023 - search.proquest.com
Wind turbines are subjected to continuous rotational stresses and unusual external forces
such as storms, lightning, strikes by flying objects, etc., which may cause defects in turbine …
such as storms, lightning, strikes by flying objects, etc., which may cause defects in turbine …