Development of an in-situ synthesized multi-component reinforced Al–4.5%Cu–TiC metal matrix composite by FAS technique – Optimization of process parameters

• Published in: Engineering science and technology, an international journal Vol. 19; no. 1; pp. 279 - 291
• Main Authors: Das, Biswajit, Roy, Susmita, Rai, Ram Naresh, Saha, S.C.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2016; Elsevier
• Subjects: ANOVA; Cutting force; Fuzzy logics, surface roughness; In situ technique; MMCs; Regression analysis; COM; S/N ratio; MMC; CF; Rz; Regression analysis; RSM; TiC; Ra; MMCs; Fuzzy logics, surface roughness; In situ technique; ANOVA; FAS; CNC; Cutting force
• ISSN: 2215-0986; 2215-0986
• DOI: 10.1016/j.jestch.2015.08.002

In the present investigation, an in-situ multi-component reinforced aluminium copper alloy based metal matrix composite was fabricated by the flux assisted synthesis (FAS) technique. It was found from the optical microscopy analysis that TiC particles are formed in the composite. Further the present research investigates the feasibility and dry machining characteristics of Al–4.5%Cu/5TiC metal matrix composite in CNC milling machine using uncoated solid carbide end mill cutter. The effect of the machining parameters such as feed, cutting speed, depth of cut on the response parameters such as cutting force and COM is determined by using analysis of variance (ANOVA). From the analysis it was found that cutting speed and depth of cut played a major role in affecting cutting force. Multi output optimization of the process was carried out by the application of the Taguchi method with fuzzy logic, and the confirmatory test has revealed the accuracy of the developed model. For predicting the response parameters, regression equations were developed and verified with a number of test cases and it was observed that the percentage error for both responses is less than ±3%, which indicates there is a close agreement between the predicted and the measured results.