Investigate the Effects of the Laser Cladding Parameters on the Microstructure, Phases Formation, Mechanical and Corrosion Properties of Metallic Glasses Coatings for Biomedical Implant Application

Ibrahim, Mahmoud Z.; Sarhan, Ahmed Aly Diaa Mohammed; Shaikh, Muhammad Omar; Kuo, Tsung-Yuan; Yusuf, Farazila; Hamdi, Mohammed

doi:10.1007/978-3-319-91713-9_10

Cited by 4 publications

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“…The inference engine is the core of any FLCS, as it performs approximate reasoning [42]. The defuzzification step represents the final stage in the fuzzy controller and is performed through the defuzzifier to convert the fuzzy values received from the fuzzy inference engine into new values [13]. The fuzzy logic toolbox of MATLAB is used to design and implement FLCS.…”

Section: Architecture Of Fuzzy Logic Controllermentioning

confidence: 99%

“…However, the amorphous structure of MGs is very sensitive to the laser cladding parameters such as laser power, scanning speed, laser beam spot size, injected powder flow rate, etc. ; thus, selecting these parameters is a vital issue [13]. These parameters affect the properties as well as the quality and geometry of the cladded layer [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy Control Modeling to Optimize the Hardness and Geometry of Laser Cladded Fe-Based MG Single Track on Stainless Steel Substrate Prepared at Different Surface Roughness

et al. 2022

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Metallic glass (MG) is a promising coating material developed to enhance the surface hardness of metallic substrates, with laser cladding having become popular to develop such coatings. MGs properties are affected by the laser cladding variables (laser power, scanning speed, spot size). Meanwhile, the substrate surface roughness significantly affects the geometry and hardness of the laser-cladded MG. In this research, Fe-based MG was laser-cladded on substrates with different surface roughness. For this purpose, the surfaces of the substrate were prepared for cladding using two methods: sandpaper polishing (SP) and sandblasting (SB), with two levels of grit size used for each method (SP150, SP240, SB40, SB100). The experiment showed that substrate surface roughness affected the geometry and hardness of laser-cladded Fe-based MG. To predict and optimize the geometry and hardness of laser-cladded Fe-based MG single tracks at different substrate surface roughness, a fuzzy logic control system (FLCS) was developed. The FLCS results indicate that it is an efficient tool to select the proper preparation technique of the substrate surface for higher clad hardness and maximum geometry to minimize the number of cladding tracks for full surface cladding.

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Section: Architecture Of Fuzzy Logic Controllermentioning

confidence: 99%