Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN
The use of magnesium alloys in various industries and commerce is increasing due to their properties such as high strength and casting properties, high vibration damping capability, good shielding of electromagnetic radiation and high machinability. Conventional machining methods can, however, pose...
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MDPI AG
2023-04-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/16/9/3384 |
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| author | Katarzyna Biruk-Urban Ireneusz Zagórski Monika Kulisz Michał Leleń |
| author_facet | Katarzyna Biruk-Urban Ireneusz Zagórski Monika Kulisz Michał Leleń |
| author_sort | Katarzyna Biruk-Urban |
| collection | DOAJ |
| description | The use of magnesium alloys in various industries and commerce is increasing due to their properties such as high strength and casting properties, high vibration damping capability, good shielding of electromagnetic radiation and high machinability. Conventional machining methods can, however, pose a risk of ignition. AWJM is a safe alternative to conventional machining, but the deflection and vibration of the water jet can affect surface quality. Therefore, the aim of this study was to investigate the effects of selected AWJM parameters on the surface quality and vibration of machined magnesium alloys. Jet deflection angle, surface roughness parameters and vibration during AWJM were investigated. The findings showed that higher skewness occurred at a lower abrasive flow rate, while higher average values of the Sku roughness parameter were obtained at m<sub>a</sub> = 8 g/s in the range of 60–140 mm/min. It was also observed that higher vibration values occurred at m<sub>a</sub> = 8 g/s. The input parameters for creating an artificial neural network (ANN) model used in this study were the cutting speed v<sub>f</sub> and the mass flow rate m<sub>a</sub>. The results of this study provided valuable insights into ways of ensuring a safe and efficient machining environment for magnesium alloys. The use of ANN modeling for predicting the vibration and surface roughness of AZ91D magnesium alloy after water-jet cutting could be an effective tool for optimizing AWJM parameters. |
| first_indexed | 2024-03-11T04:14:10Z |
| format | Article |
| id | doaj.art-66592dde0f164e8ea71267b2f5e03969 |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-11T04:14:10Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-66592dde0f164e8ea71267b2f5e039692023-11-17T23:15:20ZengMDPI AGMaterials1996-19442023-04-01169338410.3390/ma16093384Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANNKatarzyna Biruk-Urban0Ireneusz Zagórski1Monika Kulisz2Michał Leleń3Department of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, 20-618 Lublin, PolandDepartment of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, 20-618 Lublin, PolandDepartment of Enterprise Organisation, Faculty of Management, Lublin University of Technology, 20-618 Lublin, PolandDepartment of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, 20-618 Lublin, PolandThe use of magnesium alloys in various industries and commerce is increasing due to their properties such as high strength and casting properties, high vibration damping capability, good shielding of electromagnetic radiation and high machinability. Conventional machining methods can, however, pose a risk of ignition. AWJM is a safe alternative to conventional machining, but the deflection and vibration of the water jet can affect surface quality. Therefore, the aim of this study was to investigate the effects of selected AWJM parameters on the surface quality and vibration of machined magnesium alloys. Jet deflection angle, surface roughness parameters and vibration during AWJM were investigated. The findings showed that higher skewness occurred at a lower abrasive flow rate, while higher average values of the Sku roughness parameter were obtained at m<sub>a</sub> = 8 g/s in the range of 60–140 mm/min. It was also observed that higher vibration values occurred at m<sub>a</sub> = 8 g/s. The input parameters for creating an artificial neural network (ANN) model used in this study were the cutting speed v<sub>f</sub> and the mass flow rate m<sub>a</sub>. The results of this study provided valuable insights into ways of ensuring a safe and efficient machining environment for magnesium alloys. The use of ANN modeling for predicting the vibration and surface roughness of AZ91D magnesium alloy after water-jet cutting could be an effective tool for optimizing AWJM parameters.https://www.mdpi.com/1996-1944/16/9/3384water-jet cuttingmagnesium alloysvibrationroughnesssimulationsartificial neural networks ANN |
| spellingShingle | Katarzyna Biruk-Urban Ireneusz Zagórski Monika Kulisz Michał Leleń Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN Materials water-jet cutting magnesium alloys vibration roughness simulations artificial neural networks ANN |
| title | Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN |
| title_full | Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN |
| title_fullStr | Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN |
| title_full_unstemmed | Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN |
| title_short | Analysis of Vibration, Deflection Angle and Surface Roughness in Water-Jet Cutting of AZ91D Magnesium Alloy and Simulation of Selected Surface Roughness Parameters Using ANN |
| title_sort | analysis of vibration deflection angle and surface roughness in water jet cutting of az91d magnesium alloy and simulation of selected surface roughness parameters using ann |
| topic | water-jet cutting magnesium alloys vibration roughness simulations artificial neural networks ANN |
| url | https://www.mdpi.com/1996-1944/16/9/3384 |
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