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 …

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 …

A critical review on applications of artificial intelligence in manufacturing

O Mypati, A Mukherjee, D Mishra, SK Pal… - Artificial Intelligence …, 2023 - Springer
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 …

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 …

Recent Advancements in the Field of Ni‐Based Superalloys

SK Selvaraj, G Sundaramali… - … in Materials Science …, 2021 - Wiley Online Library
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 …

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 …

A multi-step anomaly detection strategy based on robust distances for the steel industry

K Sarda, A Acernese, V Nolè, L Manfredi, L Greco… - IEEE …, 2021 - ieeexplore.ieee.org
Steel making industries exhibit extreme working conditions characterized by high
temperature, pressure, and production speed as well as intense throughput. Due to high …

Condition-based maintenance: an industrial application on rotary machines

A Acernese, C Del Vecchio, M Tipaldi… - Journal of Quality in …, 2021 - emerald.com
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 …

Critical parameters influencing the quality of metal castings: a systematic literature review

J Suthar, J Persis, R Gupta - International Journal of Quality & …, 2023 - emerald.com
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 …

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 …