Optimization of Cutting Parameters in Drilling of AISI 304 Stainless Steel Using Taguchi and ANOVA

Balaji, M.; Murthy, B. S.; Rao, N. Mohan

doi:10.1016/j.protcy.2016.08.217

Cited by 39 publications

(13 citation statements)

References 11 publications

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“…This is due to the fact that surface flaws and irregularities get smeared out by raising helix angle at the drilling region. Similar results were observed by other peers who are working in the similar area [21,22]. Higher helix angle decreases the temperature at the tool, which can be observed by Table 4.…”

Section: Resultssupporting

confidence: 88%

Simultaneous optimization of drilling responses using GRA on Al-6063/TiC composite

et al. 2020

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The aim of the current work is to optimize the drilling constraints simultaneously during drilling of an Al6063/TiC composite based on grey relational analysis. Drilling trials were performed on Al-6063 reinforced with 15 wt% titanium carbide (TiC) of size 50 μm. HSS twist drills with diameter of 10 mm under lubricated condition were utilized for performing drilling tests. Drilling parameters explicitly helix angle, spindle speed, feed rate and responses such as surface roughness, cutting force and temperature are considered in the study. Grey relational grades were calculated to find the optimum levels of parameters, and moreover major involvement of constraints was dogged by ANOVA. The drilled composite specimen surface was analyzed under scanning electron microscopy (SEM). SEM metaphors of the drilled composite face specified the charisma of grooves, micro-cracks and dents.

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Section: Resultssupporting

confidence: 88%

Simultaneous optimization of drilling responses using GRA on Al-6063/TiC composite

et al. 2020

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“…Both techniques delivered similar results. The cutting speed is found to be the most prominent factor influencing tool life and cutting force [5,28,37]. As can be seen from Figures 1 and 3, the tool life and cutting forces decrease with increasing cutting speed, while higher values for the feed rate are recommended for lower specific cutting energy.…”

Section: Evaluation Of the Experimental Resultsmentioning

confidence: 93%

“…In drilling operations, a smaller F c and k s are indications of better performance [37]. Therefore, in order to obtain the optimum machining performance, the S/N ratio (Equation (5)) was selected for the minimized F c and k s .…”

Section: Signal To Noise (S/n) Response Analysis For Cutting Effectsmentioning

confidence: 99%

“…Also, the lowest cutting force and specific cutting energy values were obtained with the mono-layer TiN twist drill. The TiN coating provides more hardness and a very low coefficient of friction (Table 3), which results in increased resistance to wear and lower cutting forces and specific cutting energy [37]. …”

Section: Signal To Noise (S/n) Response Analysis For Cutting Effectsmentioning

confidence: 99%

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Prediction and Optimization of Drilling Parameters in Drilling of AISI 304 and AISI 2205 Steels with PVD Monolayer and Multilayer Coated Drills

Youssef

El-Hofy

Ahmed

2018

JMMP

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Due to their high ductility, high durability, and excellent corrosion resistance, stainless steels are attractive materials for a variety of applications. However, high work hardening, low thermal conductivity, and high built-up edge (BUE) formation make these materials difficult to machine. Rapid tool wear and high cutting forces are the common problems encountered while machining these materials. In the present work, the application of Taguchi optimization methodology has been used to optimize the cutting parameters of the drilling process for machining two stainless steels: austenitic AISI 304 and duplex AISI 2205 under dry conditions. The machining parameters which were chosen to be evaluated in this study are the tool material, cutting speed, and feed rate, while, the response factors to be measured are the tool life (T), cutting force (F c ), and specific cutting energy (k s ). Additionally, empirical models were created for predicting the T, F c and k s using linear regression analysis. The results of this study show that AISI 2205 stainless steel has a shorter tool life, a higher cutting force, and a higher specific cutting energy than AISI 304 stainless steel. In addition, the Taguchi method determined that A 3 B 1 C 1 and A 3 B 3 C 1 (A 3 = TiN-coated twist drill, B 1 = 13 m/min, B 3 = 34 m/min, C 1 = 0.12 mm/rev) are the optimized combination of levels for the best tool life and the lowest cutting force, respectively. Meanwhile, the optimized combination of levels for all three control factors from the analysis, which provides the lowest specific cutting energy, was found to be A 3 B 1 C 3 (A 3 = TiN-coated twist drill, B 1 = 13 m/min, C 3 = 0.32 mm/rev) for both stainless steels.

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“…It was concluded that speed and feed are compelling factors affecting temperature and thrust force during drilling operation, respectively [2]. As the tool progresses deeper into the workpiece, it was found out that vibration of the drill increases with augmentation of tool wear, which is chiefly contributed by the accrual in temperature and force at the point of material removal [3,4].…”

Section: Introductionmentioning

confidence: 99%

Investigation of boring on gunmetal in dry, wet and cryogenic conditions

Sastry

Gokulakrishnan

Hariharan

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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Secondary operation of boring is carried out to produce close geometric tolerance holes produced in drilling. In this work, an attempt has been made in producing a hole by dry boring, wet boring and cryogenic boring of gunmetal. Gunmetal finds its application in areas of casting, steam turbines and pressure valves, due to its high resistance to corrosion. Investigation of cutting temperature generated during machining, cutting force experienced by the tool and surface roughness of the machined workpiece was toted out with analogous to cutting speed and feed, by Taguchi, ANOVA and TOPSIS analyses. Surface morphology study, tool wear analysis, residual stress analysis were done in order to distinguish the modification in the bored surface and tool material after machining. Cryogenic boring of gunmetal reduced the cutting temperature by 63.43% and 53.85% over dry boring and wet boring, respectively. Furthermore, cutting force is reduced by 34.51% and 18.29% over dry boring and wet boring, respectively. Additionally, a decrease of 62.23% and 35.10% is observed in surface roughness on comparing dry boring and wet boring with respect to cryogenic boring of gunmetal. Taguchi and ANOVA arbitrated speed as an imperative parameter for cutting force and feed as a paramount parameter in cutting temperature. Furthermore, speed is a crucial parameter for arbitrating surface roughness in dry boring and wet boring, additionally feed for surface roughness in cryogenic boring condition. TOPSIS analysis illuminated speed of 1200 rpm and feed of 0.055 mm/min as the most closest to exemplar elucidation for all three cutting preconditions. Aggrandizement in compressive residual stress is discerned in cryogenic boring by 39.74% and 19.35% correlated with dry boring and wet boring, respectively, as the material undergoes work hardening. A decrease in residual tensile stress is espied in cryogenic boring when juxtaposed to wet boring, ensuring upsurge in tool life and better surface characteristics. Microhardness in cryogenic boring of gunmetal improves by 5.83-11.05% and 0.51-2.57% analogous to dry boring and wet boring, respectively. Corrosion resistance in cryogenic boring increases by 77.43% and 49.25% analogous to dry boring and wet boring of gunmetal, respectively. The circularity and cylindricity increase by 4.76-98.40%, 8.33-97.50% and 6.25-97.15%, 2.43-92.85% in cryogenic boring juxtaposed to dry boring and wet boring of gunmetal, respectively.

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Optimization of Cutting Parameters in Drilling of AISI 304 Stainless Steel Using Taguchi and ANOVA

Cited by 39 publications

References 11 publications

Simultaneous optimization of drilling responses using GRA on Al-6063/TiC composite

Simultaneous optimization of drilling responses using GRA on Al-6063/TiC composite

Prediction and Optimization of Drilling Parameters in Drilling of AISI 304 and AISI 2205 Steels with PVD Monolayer and Multilayer Coated Drills

Investigation of boring on gunmetal in dry, wet and cryogenic conditions

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