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
[HTML][HTML] In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review
Process monitoring and sensing is widely used across many industries for quality
assurance, and for increasing machine uptime and reliability. Though still in the emergent …
assurance, and for increasing machine uptime and reliability. Though still in the emergent …
Emerging metallic systems for additive manufacturing: In-situ alloying and multi-metal processing in laser powder bed fusion
While significant progress has been made in understanding laser powder bed fusion (L-
PBF) as well as the fabrication of various materials using this technology, there is still limited …
PBF) as well as the fabrication of various materials using this technology, there is still limited …
Machine learning algorithms for defect detection in metal laser-based additive manufacturing: A review
Laser-based additive manufacturing (LBAM), a series of additive manufacturing
technologies, has unrivaled advantages due to its design freedom to manufacture complex …
technologies, has unrivaled advantages due to its design freedom to manufacture complex …
[HTML][HTML] Big data, machine learning, and digital twin assisted additive manufacturing: A review
Additive manufacturing (AM) has undergone significant development over the past decades,
resulting in vast amounts of data that carry valuable information. Numerous research studies …
resulting in vast amounts of data that carry valuable information. Numerous research studies …
Perspectives of using machine learning in laser powder bed fusion for metal additive manufacturing
The adoption of laser powder bed fusion (L-PBF) for metals by the industry has been limited
despite the significant progress made in the development of the process chain. One of the …
despite the significant progress made in the development of the process chain. One of the …
Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
In recent years, machine learning (ML) techniques have been extensively investigated to
strengthen the understanding of the complex process dynamics underlying metal additive …
strengthen the understanding of the complex process dynamics underlying metal additive …
A systematic literature review on recent trends of machine learning applications in additive manufacturing
Additive manufacturing (AM) offers the advantage of producing complex parts more
efficiently and in a lesser production cycle time as compared to conventional subtractive …
efficiently and in a lesser production cycle time as compared to conventional subtractive …
Alloy design for laser powder bed fusion additive manufacturing: a critical review
Z Liu, Q Zhou, X Liang, X Wang, G Li… - … Journal of Extreme …, 2024 - iopscience.iop.org
Metal additive manufacturing (AM) has been extensively studied in recent decades. Despite
the significant progress achieved in manufacturing complex shapes and structures …
the significant progress achieved in manufacturing complex shapes and structures …
Optimization with artificial intelligence in additive manufacturing: a systematic review
F Ciccone, A Bacciaglia, A Ceruti - Journal of the Brazilian Society of …, 2023 - Springer
In situations requiring high levels of customization and limited production volumes, additive
manufacturing (AM) is a frequently utilized technique with several benefits. To properly …
manufacturing (AM) is a frequently utilized technique with several benefits. To properly …
Microhardness and wear resistance in materials manufactured by laser powder bed fusion: Machine learning approach for property prediction
Laser-based powder bed fusion (LPBF) technology is one of the most applied additive
manufacturing processes owing to, among others, its capacity of producing parts with …
manufacturing processes owing to, among others, its capacity of producing parts with …