| Autor: |
Dhanabal Palanisamy, Kalayarasan Mani, Kavin Thangaraju, Venkatesh Chenrayan, Kiran Shahapurkar, Hanabe Chowdappa Ananda Murthy, Chandru Manivannan |
| Rok vydání: |
2023 |
| DOI: |
10.21203/rs.3.rs-2411422/v1 |
| Popis: |
The investigation focuses on determining the effects of canola oil based cutting fluid with three different volume percentages of boric acid additives on the machining forces and surface roughness while turning hardened AISI 1018 mild steel. Experiments were carried out under Taguchi’s design of experiments concept. The minimum quantity lubrication (MQL) technique was followed to minimize the cutting fluid consumption. The homogeneity of the additives dispersed in the fluid has been validated through zeta potential study. Machining forces and surface roughness were considered as chief machining objectives. The hybrid mathematical model Grey Relational Analysis (GRA) – Artificial Neural Network (ANN) has been implemented to assess the performance of the developed cutting fluid. The results explored that the canola oil cutting fluid with 5 wt. % of boric acid additive exhibited lesser cutting forces and surface roughness. The negligible error percentage of 0.66% between GRA and ANN prediction has been recorded |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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