Multi-response optimisation of hard milling process parameters based on integrated Box-Behnken design with desirability function approach

2014 ◽  
Vol 15 (3/4) ◽  
pp. 300 ◽  
Author(s):  
A. Tamilarasan ◽  
K. Marimuthu
Keyword(s):  
Process Parameters ◽  
Desirability Function ◽  
Milling Process ◽  
Function Approach ◽  
Hard Milling ◽  
Box Behnken Design ◽  
Desirability Function Approach

The Use of Taguchi Method Based on Desirability Function Approach for Optimization of Process Parameters in Submerged Arc Welding

2012 ◽  
Vol 622-623 ◽  
pp. 319-322
Author(s):  
Joydeep Roy ◽  
John Deb Barma ◽  
Subhash Chandra Saha
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Arc Welding ◽  
Desirability Function ◽  
Traverse Speed ◽  
Submerged Arc Welding ◽  
Function Approach ◽  
Confirmatory Test ◽  
Submerged Arc ◽  
Desirability Function Approach

In this paper, the Taguchi method coupled with desirability function approach is used for the optimization of response parameters in submerged arc welding (SAW). Desirability function (DF) approach has been introduced to convert the multi- response objective to single objective. Weld quality is greatly influenced by the weld parameters which directly or indirectly affect the response parameters. In the present investigation three process variables viz. Wire feed rate (Wf), stick out (So) and traverse speed (Ts) have been considered and the response parameters are hardness (H), tensile strength (TS), toughness (IS). Finally a confirmatory test has been carried out with the optimal process parameters for validation of the experiment.

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