The Optimum Cutting Condition when High Speed Turning of Aluminum Alloy using Uncoated Carbide

1st International Conference on Industrial and Manufacturing Engineering

工业技术（总论）;机械制造

Umroh, B.^1 ; Muhathir^2 ; Darianto^1

Department of Mechanical Engineering, Indonesia^1

Department of Informatics Engineering, Faculty of Engineering, Universitas Medan Area (UMA), Jalan Kolam No. 1, Medan

20223, Indonesia^2

关键词: Flank wear;    Full factorial design;    High-speed turning;    Independent variables;    Multi-objective genetic algorithm;    Multiple linear regression method;    Surface roughness (Ra);    Tool life;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/505/1/012041/pdf
DOI  :  10.1088/1757-899X/505/1/012041

学科分类：工业工程学

来源: IOP

【 摘 要 】

Objective of study reported in this paper is finding the optimum cutting condition respected to surface roughness (Ra), flank wear (VB) and tool life (TL) when high speed turning of aluminum alloy using uncoated carbide. Turning test was carried out by full factorial design where cutting speed (v), feed (f) and depth of cut (a) were determined as the independent variables. The high level values were set as v 1250 m/min, f 0.15 mm/rev, a 1.2 mm and for the low level were v 1000 m/min, f 0.12 mm/rev, a 1 mm. By multiple-linear regression method, the data of response variables resulted from the testing was used to developed 3 (three) mathematical models of Ra, VB and TL. Those models, (v, f, a), were then used as the fitness functions for finding the optimum cutting condition using Multi Objective Genetic Algorithm (MOGA) method. The results of study show that the optimum cutting condition for gaining the best roughness is at v 1000 m/min, f 0.12 mm/rev and a 1.2 mm. At that cutting condition, Ra and TL are recorded at 1.22 microns and 2.32 minutes, respectively.