Machine learning accelerates the materials discovery
J Fang, M **e, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …
technology becomes more and more accessible, the material design method based on …
An overview of ceramic molds for investment casting of nickel superalloys
JE Kanyo, S Schafföner, RS Uwanyuze… - Journal of the European …, 2020 - Elsevier
Accelerating advancements in technological systems have demonstrated a need for alloys
with drastically improved thermomechanical and chemical properties, called superalloys …
with drastically improved thermomechanical and chemical properties, called superalloys …
A critical review on applications of artificial intelligence in manufacturing
The fourth industrial revolution, Industry 4.0, has brought internet, artificial intelligence (AI),
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
and machine learning (ML) concepts into manufacturing. There is an immediate need to …
Enhanced 3D printed Al2O3 core via in-situ mullite
Q Li, X Meng, X Zhang, J Liang, C Zhang, J Li… - Additive …, 2022 - Elsevier
The ceramic core plays an important role in the preparation of aero-engine hollow blades,
as it can directly determine the precision and pass rate of the cooling passage in the blade …
as it can directly determine the precision and pass rate of the cooling passage in the blade …
Recent Advancements in the Field of Ni‐Based Superalloys
In this review article, research papers related to recent developments in Ni‐superalloy
technologies have been reviewed in order to provide an insight into recent achievements …
technologies have been reviewed in order to provide an insight into recent achievements …
Investigation of microstructure and properties in short carbon fiber reinforced silica-based ceramic cores via atmosphere sintering
G Lu, Y Chen, Q Yan, H Zhan, P Mao, D Liu - Journal of the European …, 2021 - Elsevier
Short carbon fiber (C sf) reinforced silica-based ceramic cores for investment casting were
prepared by an injection molding approach and sintered in air and N 2 atmospheres …
prepared by an injection molding approach and sintered in air and N 2 atmospheres …
A multi-step anomaly detection strategy based on robust distances for the steel industry
Steel making industries exhibit extreme working conditions characterized by high
temperature, pressure, and production speed as well as intense throughput. Due to high …
temperature, pressure, and production speed as well as intense throughput. Due to high …
Condition-based maintenance: an industrial application on rotary machines
Purpose The purpose of this paper is to describe a model for the design and development of
a condition-based maintenance (CBM) strategy for the cutting group of a labeling machine …
a condition-based maintenance (CBM) strategy for the cutting group of a labeling machine …
Critical parameters influencing the quality of metal castings: a systematic literature review
Purpose Casting is one of the well-known manufacturing processes to make durable parts of
goods and machinery. However, the quality of the casting parts depends on the proper …
goods and machinery. However, the quality of the casting parts depends on the proper …
Metaheuristic optimized multi-level classification learning system for engineering management
JS Chou, TTP Pham, CC Ho - Applied Sciences, 2021 - mdpi.com
Multi-class classification is one of the major challenges in machine learning and an ongoing
research issue. Classification algorithms are generally binary, but they must be extended to …
research issue. Classification algorithms are generally binary, but they must be extended to …