Application of Fuzzy Logic in the Analysis of Surface Roughness of Thin-Walled Aluminum Parts

被引：12

作者：

Vukman, Jovan ^{[1
]}

Lukic, Dejan ^{[1
]}

Borojevic, Stevo ^{[2
]}

Rodic, Dragan ^{[1
]}

Milosevic, Mijodrag ^{[1
]}

机构：

[1] Univ Novi Sad, Fac Syst Sci, Trg Dositeja Obradovica 6, Novi Sad 21000, Serbia

[2] Univ Banja Luka, Fac Mech Engn, Vojvode Stepe Stepanovica 71, Banja Luka 78000, Bosnia & Herceg

来源：

INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING | 2020年 / 21卷 / 01期

关键词：

Thin-walled parts; Aluminum; Fuzzy logic; Design of experiments; Surface roughness; PREDICTION; OPTIMIZATION; DEFORMATION; HYBRID;

D O I：

10.1007/s12541-019-00229-3

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：91 / 102

页数：12

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