Effects of Machine Parameters on Surface Roughness Using Response Surface Method in Drilling Process

Amran, Mohd; Salmah, Siti; Hussein, Nur Izan Syahriah; Izamshah, R.; Hadzley, Mohd; Sivaraos,; Kasim, Mohd Shahir; Sulaiman, Mohd Amri

doi:10.1016/j.proeng.2013.12.142

Cited by 33 publications

(14 citation statements)

References 6 publications

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“…From table 4, the conclusion can be made that there is no interaction effect of machining factors on surface roughness while drilling of the composite. However, Drill diameter and the feed rate and spindle speed have considerable influence on surface roughness [33][34][35]. From the study it is witnessed that there is a significant correlation between the results deduced from ANOVA and the results determine the main effect plots for S/N ratios for surface roughness in drilling using solid carbide drills.…”

Section: Examination Of Surface Roughnessmentioning

confidence: 86%

Surface roughness analysis in the drilling of carbon fiber/epoxy composite laminates using hybrid Taguchi-Response experimental design

Shahabaz

Shetty

et al. 2020

Mater. Res. Express

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The carbon fiber reinforced polymer composite has made a substantial impact on the manufacturing sectors owing to its excellent mechanical, thermal and corrosion resisting properties. The surface roughness mainly depends on the machining parameters while drilling of carbon fiber reinforced polymer composite laminates. The study concentrates on the impact of uncoated and titanium nitride coated solid carbide drills on minimizing the roughness that is generated while making holes in bi-directional carbon fiber reinforced polymer composite by optimizing the drilling constraints [spindle speed (A), feed rate (B), point angle (C) and drill diameter (D)]. Experimental studies are carried out using Taguchi L 27 orthogonal array. The investigation discloses that the drill diameter is one of the most influencing cutting parameters followed by spindle speed and feed rate. The response surface methodology is chosen as a tool for predicting and optimizing the process parameters. The investigation also discloses that the experimental and the predicted results of surface roughness are closely matching with each other. The surface morphology illustrates that titanium nitride coated solid carbide drills minimize the surface roughness compare to that of uncoated solid carbide drills.

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Section: Examination Of Surface Roughnessmentioning

confidence: 86%

Surface roughness analysis in the drilling of carbon fiber/epoxy composite laminates using hybrid Taguchi-Response experimental design

Shahabaz

Shetty

et al. 2020

Mater. Res. Express

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“…Extensive existing studies have focused on energy modeling and energy savings of turning processes [14], milling processes [15,16], and grinding processes [17]. Drilling, as an important machining process, plays a significant role in the energy management of machining processes [18]. However, the energy modeling method focused on drilling processes, especially for the modeling of material-drilling power, has not been well studied [19].…”

Section: Figurementioning

confidence: 99%

Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes

et al. 2018

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Drilling processes, as some of the most widely used machining processes in the manufacturing industry, play an important role in manufacturing process energy-saving programs. However, research focus on energy modeling of drilling processes, especially for the modeling of material-drilling power, are really scarce. To bridge this gap, an improved material-drilling power model is proposed in this paper. The obtained material-drilling power model can improve the accuracy of the material-drilling power and lay a good foundation for energy modeling and optimization of drilling processes. Finally, experimental studies were carried out on an XHK-714F CNC machining center (Hangzhou HangJi Machine Tool Co., Ltd., Hangzhou, China) and a JTVM6540 CNC milling machine (Jinan Third Machine Tool Co., Ltd., Jinan, China). The results showed that predictive accuracies with the proposed model are generally higher than 96% for all the test cases.

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“…Approximately 75% of all metal cutting process involves drilling operation [1]. In automotive engine production, costing of drilling hole is among the highest [2].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modelling of Surface Roughness for Evaluating the Effects of Cutting Parameters in Drilling Process

Zhujani¹,

Qehaja²,

Abdullahu³

et al. 2016

Proceedings of the 27th International DAAAM Symposium 2016

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Effects of Machine Parameters on Surface Roughness Using Response Surface Method in Drilling Process

Cited by 33 publications

References 6 publications

Surface roughness analysis in the drilling of carbon fiber/epoxy composite laminates using hybrid Taguchi-Response experimental design

Surface roughness analysis in the drilling of carbon fiber/epoxy composite laminates using hybrid Taguchi-Response experimental design

Establishment of an Improved Material-Drilling Power Model to Support Energy Management of Drilling Processes

Mathematical Modelling of Surface Roughness for Evaluating the Effects of Cutting Parameters in Drilling Process

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