Effect of turning parameters on chip generation during machining aluminum composite is studied in this work. Turning of Al-4%Cu-7.5%SiC composite material prepared through powder metallurgy procedure was chosen as the workpiece, machined using uncoated carbide insert TNMG 120404. Chips produced during machining were studied by measuring the thickness and were used along with uncut chip thickness to determine the chip thickness ratio. 99.85% pure aluminum was added with 4% volume fractions of copper and with silicon carbide particulates of 7.5%. To visualize the distribution of reinforcement phases in matrix, scanning electron microscope is used. Taguchi's methodology of design of experiments was adopted for designing a L 9 (Latin square) orthogonal array for experimental investigation, and from analysis of variance, cutting speed influencing the formation of chip by 64.13%, continuing with depth of cut by 35.26%, was identified. Confirmation test accomplished with ideal conditions produces a better chip condition.
This article addresses the effect of montmorillonite (MMT) on the morphology, and mechanical properties of polypropylene (PP). PP/MMT nanocomposites have been prepared by melt mixing using maleic anhydride grafted polypropylene (MAH-g-PP) as compatibilizing agents. Melt mixing was achieved using twin screw extruder. The MAH-g-PP used as compatibilizer helped the dispersion of the MMT in PP matrix. The influence of MMT on the impact fracture morphology of the nanocomposites was studied by scanning electron microscopy (SEM). The polymer composites were characterized by using different techniques such as X-ray diffraction (XRD), tranmission electron microscopy (TEM) and mechanical characterization as per ASTM standards. The mechanical properties of strength and modulus of the nanocomposites increases with addition of 5 wt% of nanoclay and impact strength and hardness of the nanocomposites increses with addition of 3 wt% of nanoclay.
In this analysis turning parameter optimization is performed during machining AISI D2 steel with uncoated and coated cemented carbide cutting inserts using a hybrid multi-objective optimization technique Grey relational analysis (GRA) and Principal Component analysis (PCA). A L16 Taguchi’s orthogonal array design is selected for basic experimental design considering four levels for the chosen four parameters. Output performance measures viz., tool wear, roughness on finished surface and material removed are evaluated by determining grey relational coefficient, and deriving multi response performance index (MRPI) using principal components. Contribution of coated cutting insert is 72.87% towards the MRPI and 17.15% contribution by feed rate, as determined from Analysis of Variance (ANOVA). Confirmation experiment performed with optimum conditions provides lower tool wear, higher material removal and good surface finish. The MRPI of the confirmation experiment is also confirmed by calculating the confidence interval.
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