Surface Roughness Optimization in a Drilling Operation Using the Taguchi Design Method

2009 ◽  
Vol 24 (4) ◽  
pp. 459-467 ◽  
Author(s):  
Julie Z. Zhang ◽  
Joseph C. Chen
Keyword(s):  
Surface Roughness ◽  
Design Method ◽  
Taguchi Design ◽  
Drilling Operation

Optimization of Surface Roughness by Taguchi Design Method

2010 ◽  
Vol 156-157 ◽  
pp. 392-395
Author(s):  
Md Raihanuzzaman Rumman ◽  
Soon Jik Hong
Keyword(s):  
Surface Roughness ◽  
Design Method ◽  
Signal To Noise Ratio ◽  
Taguchi Design ◽  
Depth Of Cut ◽  
Manufacturing Cost ◽  
Control Factors ◽  
Good Surface ◽  
Operating Chamber ◽  
Noise Factors

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.

Optimization of Milling Parameters of CFRP for Surface Roughness Using Taguchi Design Method

2014 ◽  
Vol 1027 ◽  
pp. 76-79
Author(s):  
Jing Wen Zhou ◽  
Yan Chen ◽  
Yu Can Fu ◽  
Jiu Hua Xu ◽  
An Dong Hu ◽  
...  
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Design Method ◽  
Statistical Significance ◽  
Cutting Speed ◽  
Taguchi Design ◽  
Depth Of Cut ◽  
Milling Parameters ◽  
Validation Experiment ◽  
Coated Cemented Carbide

End milling is conducted on carbon fiber reinforced plastics (CFRP) by using a diamond coated cemented carbide tool. Taguchi design method is employed to investigate the influence of cutting speed, feed rate and depth of cut on surface roughness. In Taguchi method, a three level orthogonal array has been used to determine the S/N ratio. Analysis of variance (ANOVA) and pareto diagram are used to determine the most significant milling parameters affecting the surface roughness. The results indicate that only the depth of cut has great statistical significance on the surface roughness, while the influences of cutting speed and feed are negligible. SEM micrographs shows that with the increase of depth of cut, a great deal epoxy resin will adhere to the finished surface. The greatest S/N ratio (1.46dB) is obtained during the validation experiment with optimum milling parameters.

Statistical Analysis of Process Parameters in Drilling of Al/Al2O3p Metal Matrix Composites

2014 ◽  
Vol 14 (3) ◽  
pp. 171-175 ◽  
Author(s):  
Yashvir Singh ◽  
Amneesh Singla ◽  
Ajay Kumar
Keyword(s):  
Surface Roughness ◽  
Statistical Analysis ◽  
Process Parameters ◽  
Metal Matrix ◽  
Design Method ◽  
Experimental Studies ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Signal To Noise ◽  
Drilling Parameters

AbstractThis paper presents a statistical analysis of process parameters for surface roughness in drilling of Al/Al2O3p metal matrix composite. The experimental studies were conducted under varying spindle speed, feed rate, point angle of drill. The settings of drilling parameters were determined by using Taguchi experimental design method. The level of importance of the drilling parameters is determined by using analysis of variance. The optimum drilling parameter combination was obtained by using the analysis of signal-to-noise ratio. Through statistical analysis of response variables and signal-to-noise ratios, the determined significant factors are depth of cut and drill point angle with the contributions of 87% and 12% respectively, whereas the cutting speed is insignificant contributing by 1% only. Confirmation tests verified that the selected optimal combination of process parameter through Taguchi design was able to achieve desired surface roughness.

scholarly journals Optimization of FCAW Parameters for Ferrite Content in 2205 DSS Welds Based on the Taguchi Design Method

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Tianqi Li ◽  
Yingying Zhang ◽  
Lei Gao ◽  
Yunhao Zhang
Keyword(s):  
Mathematical Model ◽  
Process Parameters ◽  
Welding Speed ◽  
Design Method ◽  
Welding Current ◽  
Taguchi Design ◽  
Experimental Results ◽  
Ferrite Content ◽  
Welding Parameters ◽  
Torch Angle

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.

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