Fabrication, Characterization and Drilling Operation of Natural Fiber Reinforced Hybrid Composite With Filler (Fly-Ash/Graphene)

Saraswati, Pranav Kumar; Sahoo, Saritprava; Parida, Sarada Prasad; Jena, Pankaj Charan

doi:10.35940/ijitee.j1253.0881019

Cited by 17 publications

(1 citation statement)

References 27 publications

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“…A typical aircraft requires nearly 2000 holes only for frame attachment with the main assembly [6,7]. Improper drilling operations, such as poor drilling conditions and rapid tool wear, can force additional fnishing operations and parts rejection, increasing the cost and time of the product [8,9]. Hence, the desired hole quality can only be achieved by carefully choosing process variables, machine confguration, and cutting equipment [10].…”

Section: Introductionmentioning

confidence: 99%

Deform 3D Simulation and Experimental Study in Machining of AISI 1020 Mild Steel

Hussain,

Sharif,

Siddiqi

et al. 2024

Journal of Engineering

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The drilling process plays a crucial role in the assembly process of modern-day manufactories. One of the major causes of component rejection during drilling operations is the incorrect selection of spindle speed and feed rate. Therefore, this study aimed to investigate the impact of process factors such as spindle speed and feed rate on torque, thrust force, temperature surface roughness, and chip formation during the drilling of AISI 1020 mild steel. A combination of finite element modeling and experimental investigation was employed to achieve the process. Specifically, the commercially available finite element software, Deform 3D, was used for simulation. The modeling results were then compared and validated with the experimental data. A high-speed steel drill bit was utilized during the modeling and experimentation. The spindle speed was varied at 330, 410, and 510 rpm, while the feed rates were set at 0.12, 0.2, and 0.3 mm/rev. The study’s findings suggest that the spindle speed has an inverse relationship with thrust force, torque, and surface roughness, whereas it has a direct relationship with temperature. Conversely, the feed rate directly correlates with thrust force, torque, temperature, and surface roughness. Additionally, an analysis of the chips produced during the experiments revealed the impact of the cutting conditions on chip formation. The study results showed a 2–10% discrepancy between the experimental and simulation data. The ANOVA results indicated that the feed rate contributes the most to thrust force and torque, with a percentage contribution of 61.73% and 59.87%, respectively, followed by spindle speed, with a percentage contribution of 37.09% and 38.89%, respectively. Furthermore, temperature influences spindle speed the most, followed by feed rate, with percentage contributions of 67.75% and 31.11%, respectively. Moreover, the feed rate’s percentage contribution to surface roughness is higher than the spindle speed, with a contribution of 66.20% and 32.18%, respectively.

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Section: Introductionmentioning

confidence: 99%