Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Qinsong Zhu"'
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 15, Iss 1, Pp 833-853 (2024)
To enhance the aerodynamic performance of aero engine blades, simulations and experiments regarding microtextures to reduce the flow loss on the blade surfaces were carried out. First, based on the axisymmetric characteristics of the impeller, a new
Externí odkaz:
https://doaj.org/article/80892a11d64a4b04bde656389a177f91
Publikováno v:
Eksploatacja i Niezawodność – Maintenance and Reliability. 23:371-380
As an important research area of modern manufacturing, tool condition monitoring (TCM) has attracted much attention, especially artificial intelligence (AI)- based TCM method. However, the training samples obtained in practical experiments have the p
Publikováno v:
International Journal of Precision Engineering and Manufacturing-Green Technology. 8:745-759
Tools are the most vulnerable components in milling processes conducted using numerical control milling machines, and their wear condition directly influences work-product quality and operational safety. As such, tool wear estimation is an essential
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-10
Recent advances in artificial intelligence (AI) technology have led to increasing interest in the development of AI-based tool condition monitoring (TCM) methods. However, achieving good performance using these methods relies heavily on large trainin
Publikováno v:
Maintenance & Reliability / Eksploatacja i Niezawodność; 2021, Vol. 23 Issue 2, p371-380, 10p
Publikováno v:
IEEE Transactions on Instrumentation & Measurement; 2021, Vol. 70, p1-10, 10p
Publikováno v:
International Journal of Precision Engineering & Manufacturing-Green Technology; May2021, Vol. 8 Issue 3, p745-759, 15p