Application of Fuzzy Logic in the Analysis of Surface Roughness of Thin-Walled Aluminum Parts
| Autor: | Jovan Vukman, Dejan Lukic, Dragan Rodic, Mijodrag Milosevic, Stevo Borojevic |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Materials science Mechanical Engineering Alloy chemistry.chemical_element Thin walled 02 engineering and technology engineering.material Fuzzy logic Industrial and Manufacturing Engineering 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Machining chemistry Aluminium Surface roughness engineering Development (differential geometry) Electrical and Electronic Engineering Composite material Wall thickness |
| Zdroj: | International Journal of Precision Engineering and Manufacturing. 21:91-102 |
| ISSN: | 2005-4602 2234-7593 |
| DOI: | 10.1007/s12541-019-00229-3 |
| Popis: | This paper presents the development and application of fuzzy logic in the milling of thin-walled parts for the purpose of analyzing surface roughness. Surface roughness is an important performance indicator of finished components. Depending on conditions such as feed ratio and wall thickness, different machining strategies can be applied. The objective was to analyze and determine the influence of the machining conditions on surface roughness. The model for analyzing and determining surface roughness of the aluminum alloy AL 7075 was trained (design rules) and compared by using the experimental data. The average deviation of the compared data for surface roughness was 12.3%. The effect of the feed ratio, wall thickness and machining strategy as well as their interactions in machining are thoroughly analyzed and presented in this study. |
| Databáze: | OpenAIRE |
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