Machinability study and ANN-MOALO-based multi-response optimization during Eco-Friendly machining of EN-GJL-250 cast iron

被引：19

作者：

Laouissi, Aissa ^{[1
]}

Nouioua, Mourad ^{[1
]}

Yallese, Mohamed Athmane ^{[2
]}

Abderazek, Hammoudi ^{[1
]}

Maouche, Hichem ^{[1
]}

Bouhalais, Mohamed Lamine ^{[1
]}

机构：

[1] Mech Res Ctr, PB 73B, Constantine 25021, Algeria

[2] May 8th 1945 Univ, Mech & Struct Res Lab LMS, Guelma 24000, Algeria

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2021年 / 117卷 / 3-4期

关键词：

Eco-Friendly machining; Artificial networks; Multiple Objective Ant Lion Optimizer; Surface roughness; Cutting forces; MINIMUM QUANTITY LUBRICATION; SURFACE-ROUGHNESS; STAINLESS-STEEL; TOOL WEAR; MQL; PERFORMANCE; COATINGS; RSM;

D O I：

10.1007/s00170-021-07759-z

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The current work examines the performance of Minimum Quantity Lubrication when turning of EN-GJL-250 cast iron compared to dry and wet cooling methods. The Taguchi design L-36 has been chosen for the planification of experimentation. Then, ANOVA has been established after data acquisition in order to define the effect of cutting conditions such as the used inserts, cutting depth, feed rate and cutting speed on the studied factors. Furthermore, the surface roughness has been deeply studied using 3D roughness topography to evaluate the MQL effect. Finally, the approach ANN-MOALO was found to be helpful for future industrial applications for predicting part quality and power consumption with accurate results and optimizing cutting parameters that helps to achieve the best production control.

引用

页码：1179 / 1192

页数：14

共 30 条

[1] Development of novel sustainable neat-oil metal working fluids for stainless steel and titanium alloy machining. Part 1. Formulation development [J].