Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Feilong Du"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-35 (2024)
Abstract The Manta Ray Foraging Optimization Algorithm (MRFO) is a metaheuristic algorithm for solving real-world problems. However, MRFO suffers from slow convergence precision and is easily trapped in a local optimal. Hence, to overcome these defic
Externí odkaz:
https://doaj.org/article/f016e1899a2c467c9ce41fda5ad8a6a4
Publikováno v:
Journal of Materials Research and Technology, Vol 29, Iss , Pp 4954-4977 (2024)
Residual stress is an important surface integrity index to evaluate the crack initiation and failure of die surface. The efficient prediction of cutting residual stress can guide the high-quality machining of die and improve its service life. The exi
Externí odkaz:
https://doaj.org/article/e888ae188e304df58722337528d26d03
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 6, Pp 7475-7494 (2023)
Abstract In this article, we present a new path planning algorithm based on the rapidly exploring random tree-fixed node (RRT*FN) algorithm for manipulators. It addresses the problem that RRT*FN complex environment processing is not fast enough to me
Externí odkaz:
https://doaj.org/article/b57af8a3b4aa44229dad1d2283304296
Autor:
Pengju Qu, Feilong Du
Publikováno v:
IEEE Access, Vol 11, Pp 4574-4588 (2023)
This research focuses on the long empty cutting path problem during the laser cutting process by employing an improved proximity method to establish the starting point set in complex closed graphics. Specifically, this work improves the particle swar
Externí odkaz:
https://doaj.org/article/55abf4c269f14aae99da9a0bebdf4b13
Publikováno v:
Journal of Materials Research and Technology, Vol 20, Iss , Pp 221-237 (2022)
Establishing a material constitutive model reflecting the mechanical behavior of metal materials in the cutting process is the basis of cutting finite element simulation, and has an important guiding role in accurately describing the cutting thermo-m
Externí odkaz:
https://doaj.org/article/786d1d3e5b81444dad4fd0f764568523
Publikováno v:
Journal of Materials Research and Technology, Vol 19, Iss , Pp 4832-4856 (2022)
The infiltration and cooling effect of lubricant droplets in the cutting zone largely depend on setting minimum quantity lubricant (MQL) system parameters appropriately. The study determines the optimal spray angle and spray distance relying on the g
Externí odkaz:
https://doaj.org/article/b823a771d05840bd9639b18a1cd66cb8
Publikováno v:
Journal of Materials Research and Technology, Vol 16, Iss , Pp 1353-1370 (2022)
Finite element simulation is able to predict cutting force, temperature, stress distribution and chip formation. Constructing a constitutive model suitable for cutting simulation can accurately describe the state of the cutting process, which plays a
Externí odkaz:
https://doaj.org/article/7452099834474b6096619722c0595ef9
Publikováno v:
Materials, Vol 13, Iss 21, p 4693 (2020)
Cutting quality and production cleanliness are main aspects to be considered in the machining process, and determining the optimal cutting parameters is a significant measure to reduce energy consumption and optimize surface quality. In this paper, 3
Externí odkaz:
https://doaj.org/article/c6f0cced75e44b06bf277c88b9a392c8
Publikováno v:
Materials, Vol 13, Iss 5, p 1236 (2020)
AISI 304 has good physical and chemical properties and thus is widely used. However, due to the low thermal diffusivity, the cutting temperature of AISI 304 is high accelerating the wear of the tool. Therefore, tool wear is a major problem in machini
Externí odkaz:
https://doaj.org/article/0de4eec9bbfb40d398f47652cdc94fb7
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3684 (2019)
Establishing and controlling the prediction model of a machined surface quality is known as the basis for sustainable manufacturing. An ensemble learning algorithm—the gradient boosting regression tree—is incorporated into the surface roughness m
Externí odkaz:
https://doaj.org/article/7d767a03e36243da9041caaac9daeb71