Optimization of bead geometry of submerged arc weld using fuzzy based desirability function approach

Highly efficient simultaneous ultrasonic assisted adsorption of brilliant green and eosin B onto ZnS nanoparticles loaded activated carbon: Artificial neural network modeling and central composite design optimization

“…Moreover, the behavior of each system as function of effective factors can be predicted through DOE [14] following assessment of global optimal conditions which are based on Derringer's desirability function [18,19]. Modeling the adsorption process has been undertaken by various methods including multiple linear regression (MLR), partial least squares (PLS), principal component regression (PCR), support vector regression (SVR), adaptive network-based fuzzy inference system (ANFIS) and artificial neural networks (ANNs).…”

Multi-objective optimization of PMEDM using response surface methodology coupled with fuzzy based desirability function approach

“…Now a day's fuzzy rule based modeling is widely used because it can easily represent the uncertain and imprecise relationships which is very difficult to describe with the precise mathematical modeling (Latha & Senthilkumar, 2009Singh et al, 2013). A fuzzy logic system consists of a fuzzifier, membership functions, a fuzzy rule base, an interference engine and a defuzzifier.…”

“…The most popular fuzzy interferences are Mamdani and Sugeno. Mamdani model has been widely used to solve the complicated problems because of its easiness (Latha & Senthilkumar, 2009Singh et al, 2013). For this study, a triangular shaped membership function is used for fuzzification of input and output function.…”

Effect of Process Parameters on Weldability of the Material

“…Further increase in welding current, a maximum value of 150 amps shows the maximum value of Depth of Penetration 2.66 mm. Afterwards, increase of welding current decreases Depth of Penetration [5]. .…”