Effect of Turning Parameters on Surface Roughness of EN-9 Steel Using Taguchi Robust design—An Analysis

2021 ◽  
pp. 203-211
Author(s):  
Shahid Khurshid ◽  
Mehjooba Zainab ◽  
Yasir Farooq ◽  
Faizan Yousuf ◽  
Tamjeed Ayoub ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Adel T. Abbas ◽  
Adham E. Ragab ◽  
Faycal Benyahia ◽  
Mahmoud S. Soliman

AISI 1045 has been widely used in many industrial applications requiring good wear resistance and strength. Surface roughness of produced components is a vital quality measure. A suitable combination of machining process parameters must be selected to guarantee the required roughness values. The appropriate parameters are generally defined based on ideal lab conditions since most of the researchers conduct their experiments in closed labs and ideal conditions. However, when repeating these experiments in industrial workshops, different results are obtained. Imperfect conditions such as the absence of a turning tool with definite specifications as shown in know-how “tool nose radius 0.4 mm” and its replacement with the closest existence tool “tool nose radius 0.8 mm” as well as the interruption of cutting fluid during work as a result of sudden failure in the coolant pump lead to the mentioned different lab-industrial conditions. These complications are common among normal problems that happened during the metal cutting process in realistic conditions and are called noise factors. In this paper, Taguchi robust design is used to select the optimum combination of the cutting speed, depth of cut, and feed rate to enhance the surface roughness of turned AISI 1045 steel bars while minimizing the effects of the two noise factors. The optimum parameters predicted by the developed model showed good agreement with the experimental results.


2009 ◽  
Vol 23 (03) ◽  
pp. 477-480 ◽  
Author(s):  
ZHILI TANG

The Taguchi robust design concept is combined with the multi-objective deterministic optimization method to overcome single point design problems in Aerodynamics. Starting from a statistical definition of stability, the method finds, Nash equilibrium solutions for performance and its stability simultaneously.


2019 ◽  
Vol 18 ◽  
pp. 4458-4465 ◽  
Author(s):  
M Sandeep ◽  
L Jayahari ◽  
K Satyanarayana ◽  
M Dinesh ◽  
V Vinod Kumar

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