Prediction of Temperature During Machinability of Al2O3 Reinforced Al7075

Abstract

Metal matrix composite Al2O3 particle reinforced Al have become useful engineering materials due to their properties such as low cost, wear-resistant, heat-resistant and low weight. The present study focused on prediction of temperature produced during machining of Al2O3 reinforced with Al7075. In this investigation the percentage of Al2O3 (mesh size of 100-300)was varied 1%, 3%, 5%, 7% and 9% to the base material of Al7075. The temperature was measured using thermal gun at machining tip of the tool at which maximum temperature were measured by varying operational parameters such as depth of cut (0.25, 0.5, 0.75, 1 and 1.25mm), spindle speed (80, 112, 140, 200 and 355rpm) and feed rate (0.10, 0.12, 0.16, 0.2 and 0.25mm/sec). Experimental results revels that the temperature increases with increase in feed rate and depth, whereas, in case of spindle speed there is a fluctuation in temperature for all the combinations considered. The percentage contribution of operational parameters on temperature was determined using ANOVA analysis. Overall analyses for all the combination considered shows that feed rate (45.07%), depth (33.75%) and spindle speed (5.2%) on temperature. The developed models with a P-value are less than 0.05 were considered to be a statistically significant with 95% of confidence interval. A good agreement between experimental and statistical modeling were achieved and comparison of experimental and statistical analysis were drawn.

Assessment and Prediction of Heat Transfer Performance of Oscillating Heat Pipe using Acetone

“…Regression and Analysis of variance (ANOVA) method is used to predict the parameters experimentally to find the significant factors are statistically significant. MINITAB was a powerful statistical tool to obtained or analyse the significance of factors [22][23][24][25][32][33][34][35][36]. In the present analysis filler ratio and heat input was considered as an input variable to determine temperature difference (Te-Tc), heat transfer coefficient and thermal resistance.…”

“…Experiments was conducted by using a newly fabricated oscillating heat pipe setup consists of copper tubes, glass tube, silicon rubber tube, mica heater, condenser, K-type thermocouple, glass wool, data acquisition system, and heat control unit respectively. Acetone with four turns oscillating heat pipe was used to determine the thermal performance of the OHP system [25][26][27][28][29][30]. The physical and thermodynamic properties of Acetone (working fluid) is tabulated in Table 1.…”

“…For all the working fluids the rate of increase in heat transfer was 10%, to evaluate this heat exchanger at the model was developed and model was agreed very well with the experimental data [20]. The thermal performance of OHP with ionic liquids was investigated the heat transfer performance showed a slight decrease of 10% for 220W [21][22][23][24][25].…”