Optimization of tribological parameters for a brake pad using Taguchi design method

Author(s):  
Ferit Ficici ◽  
Mesut Durat ◽  
Murat Kapsiz
2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Tianqi Li ◽  
Yingying Zhang ◽  
Lei Gao ◽  
Yunhao Zhang

This study presents the Taguchi design method with L9 orthogonal array which was carried out to optimize the flux-cored arc welding (FCAW) process parameters such as welding current, welding voltage, welding speed, and torch angle with reference to vertical for the ferrite content of duplex stainless steel (DSS, UNS S32205) welds. The analysis of variance (ANOVA) was applied, and a mathematical model was developed to predict the effect of process parameters on the responses. The results indicate that welding current, welding voltage, welding speed, torch angle with reference to vertical, and the interaction of welding voltage and welding speed are the significant model terms connected with the ferrite content. The ferrite content increases with the increase of welding speed and torch angle with reference to vertical, but decreases with the increase of welding current and welding voltage. Through the developed mathematical model, the target of 50% ferrite content in weld metal can be obtained when all the welding parameters are set at the optimum values. Finally, in order to validate experimental results, confirmation tests were implemented at optimum working conditions. Under these conditions, there was good accordance between the predicted and the experimental results for the ferrite content.


Author(s):  
K. Raja ◽  
R. Ravi Kumar ◽  
S. Kumaravel ◽  
V. Thirunavukkarasu

2010 ◽  
Vol 156-157 ◽  
pp. 392-395
Author(s):  
Md Raihanuzzaman Rumman ◽  
Soon Jik Hong

Maintaining good surface quality usually involves additional manufacturing cost or loss of productivity. The Taguchi design is an efficient and effective experimental method in which a response variable can be optimized, given various control and noise factors, using fewer resources than a factorial design. This study included feed rate, spindle speed and depth of cut as control factors, and the noise factors were the operating chamber temperature and the usage of different tool inserts in the same specification. An orthogonal array of L9 (34) was used and the optimal cutting combination was determined by seeking the best surface roughness (response) and signal-to-noise ratio.


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