2014
DOI: 10.1504/ijmms.2014.062771
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Parametric analysis and modelling of friction drilling process on AISI 1015

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Cited by 6 publications
(11 citation statements)
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“…The worst bushing profiles, on the other hand, were obtained in 150 mm/min constant feed rate drilling. As for constant feed rate drilling processes, high feed rate reduces tool-workpiece contact period and temperature, which makes bushing profiles worse [5,6]. A comparison of bushing profiles at 100 mm/min constant and 50-150 mm/min variable feed rate drilling processes shows that there is no significant difference; however, the petal height in 50-150 mm/min feed rate increased slightly.…”
Section: The Investigation Of Bushing Profilementioning
confidence: 99%
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“…The worst bushing profiles, on the other hand, were obtained in 150 mm/min constant feed rate drilling. As for constant feed rate drilling processes, high feed rate reduces tool-workpiece contact period and temperature, which makes bushing profiles worse [5,6]. A comparison of bushing profiles at 100 mm/min constant and 50-150 mm/min variable feed rate drilling processes shows that there is no significant difference; however, the petal height in 50-150 mm/min feed rate increased slightly.…”
Section: The Investigation Of Bushing Profilementioning
confidence: 99%
“…Studies related to friction drilling generally employ plated and non-plated carbide friction drills, and in these studies, the tool-workpiece contact surface temperature, feed rate, thrust force, tool wear, bushing profiles and surface roughness are examined [2,[6][7][8][9]. In addition, a study on friction drilling using HSS drill and performing friction drilling on A7075-T651 in two patterns, namely with pre-drilling and without pre-drilling, has examined tool-workpiece contact temperature, bushing surface roughness and bushing profiles [10].…”
Section: Introductionmentioning
confidence: 99%
“…Somasundaram et al [23] established empirical model for process parameters of thermal drilling in aluminum matrix composite by response surface methodology approach. Pantawane et al [24] developed regression model for the process of thermal drilling on AISI 1015 steel and investigated the impact of torque, Z-direction axial force and surface roughness. Folea et al [25] explored the process in maraging steel and deliberated the quality and reliability of drilled holes.…”
Section: Literature Reviewmentioning
confidence: 99%
“…There are few investigations were reported on the modelling and optimization of the TFD process variables [6][7][8][9][10][11][12]. In these investigations, several modelling and optimization techniques were used, typically, grey relation analysis (GRA), artificial neural networks (ANN), Taguchi design, fuzzy logic, …etc.].…”
Section: Introductionmentioning
confidence: 99%