Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Mariangela, Quarto"'
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6229 (2024)
Metal additive manufacturing technologies such as powder bed fusion (PBF) and direct energy deposition (DED) are experiencing fast development, due to the growing awareness of industries. However, high energy consumption, slow production processes, a
Externí odkaz:
https://doaj.org/article/43a6c391d7cb4c019c634125bfc6c324
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1433 (2022)
The main additive manufacturing (AM) methods to produce metal components are laser powder bed fusion and directed energy deposition, which are energy-intensive, time-consuming, and require high investment costs. An economical alternative is based on
Externí odkaz:
https://doaj.org/article/1122599cecf14acda81628c853cbcda7
Publikováno v:
Micromachines, Vol 12, Iss 6, p 667 (2021)
Artificial Neural Network (ANN), together with a Particle Swarm Optimization (PSO) and Finite Element Model (FEM), was used to forecast the process performances for the Micro Electrical Discharge Machining (micro-EDM) drilling process. The integrated
Externí odkaz:
https://doaj.org/article/8f9e3fa01d824be69d1c727e5a76d3e0
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 237:758-769
Recently, there has been a growing awareness of environmental issues, and the concept of sustainability has been introduced. This concept applies to different fields, including the manufacturing industry. This study focuses on the sustainability of t
Nowadays, additive manufacturing technologies are widely studied for tailoring the final characteristics of the produced parts. In particular, Powder Bed Fusion technologies are widely applied for manufacturing metal components, and they allow the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc4120b1586618b585d3dd0179f4e7ce
https://doi.org/10.21203/rs.3.rs-2898435/v1
https://doi.org/10.21203/rs.3.rs-2898435/v1
Publikováno v:
Precision Engineering. 73:63-70
In the present study, an artificial neural network (ANN) together with a heuristic algorithm, called particle swarm optimization (PSO), was used to set up a methodology for selecting the optimal process parameters for the μEDM process. The developed
Publikováno v:
Micromachines, Vol 11, Iss 11, p 959 (2020)
The effects of different reinforcement shapes on stability and repeatability of micro electrical discharge machining were experimentally investigated for ultra-high-temperature ceramics based on zirconium diboride (ZrB2) doped by SiC. Two reinforceme
Externí odkaz:
https://doaj.org/article/83dd8c9d011b44749ee5eec13f571e69
Publikováno v:
Materials and Manufacturing Processes. 36:1535-1543
Metal FDM process is a valid alternative to costly, energy consuming and less accessible metal Additive Manufacturing technologies. Metal parts were fabricated by means of a low-cost FDM machine wi...
Publikováno v:
Advances in Mechanical Engineering, Vol 8 (2016)
This article is about the implementation of an acquisition system for the measurement of micro-electro discharge machining process parameters and the statistical analysis of their influence on the process performance. The micro-electro discharge mach
Externí odkaz:
https://doaj.org/article/e3f08bc924f94ad78d62dc8e219bb816