التفاصيل البيبلوغرافية
| العنوان: |
Optimisation of Predicted Wear and Friction for Electroless Ni–P by RSM, Fuzzy Logic and ANFIS Using TOPSIS. |
| المؤلفون: |
Salim, Mobassir, Saini, Dharmender Singh, Matharu, S. P. S., Singh, Mahendra |
| المصدر: |
Transactions of the Indian Institute of Metals; Sep2023, Vol. 76 Issue 9, p2535-2548, 14p |
| مستخلص: |
This study examined the frictional and wear properties of electroless Ni–P coatings in a dry environment. The experiment is carried out with Taguchi's L27 orthogonal array and three testing parameters: load (N), speed (V) and time (T). Four prediction model, namely response surface methodology (RSM), fuzzy logic (Mamdani), fuzzy logic (Sugeno) and adaptive Network-based fuzzy inference system (ANFIS), has been used to predict the wear depth and Friction coefficient. Further, the TOPSIS technique, a multi-criteria decision analysis method, is used to find the best predictive model concerning friction and wear characteristics. In a dry environment, ANFIS and RSM will be able to predict the best tribological performance; for friction and wear, their coefficients of determination (R2) are 0.989 and 0.994, respectively. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
