Analysis and Optimization of Machining Parameters of EN-47 in Turning by Taguchi Technique and Minitab-17 Software

Chandrasheker, J.; Vidyasagar, B.; Reddy, None M.  Vijendhar; Sathish, S.

doi:10.17577/ijertv6is040642

Cited by 2 publications

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“…High thermal conductivity particles of nanoscales have become the candidate material for cooling the integrated circuits. However, researchers faced the hindrance in finding the thermal conductivity of the nanoparticle mixed in fluid [9,10]. Nanoparticle concentration is also used in the automobile engine for the cooling process [11].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Performance Characteristics of ZnO Nanoparticles’ Dispersed Polyester Oil

Kumar¹,

Manikandan²,

Nagaprasad³

et al. 2022

Advances in Materials Science and Engineering

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Analysis of performance characteristics of nanoparticles’ dispersed oil has wide and an important role in oil industries. Zinc oxide nanoparticles are dispersed with polyester oil by using an ultrasonic vibrator and magnetic stirrer. Nanoparticles’ concentration are taken as 0.1, 0.3, and 0.5 wt. %. The ball-milling process is used to reduce the size of the nanoparticles before the preparation of nanoparticles’ dispersed polyester oil (NPDP). Spherical shape particles with an average size of 40 nm are achieved for unmilled nanoparticles, whereas spherical shape particles with an average size of 30 nm are achieved for ball-milled nanoparticles. Pin on disc analysis shows the coefficient of friction of unmilled and ball-milled NPDP. Ball-milled NPDP results in a lesser coefficient of friction. Thermal conductivity of unmilled and ball-milled NPDP is finalized through the transient hot-wire method. Ball-milled NPDP enhances the thermal conductivity of base polyester oil than the usage of unmilled NPDP in polyester oil. In this study, the assessment and optimization of nanoparticle concentration, temperature, and ball-milling processes of nanoparticles are also carried out using the design of experiment (Doe) approach. The L9 orthogonal array-based full factorial design is used for the best optimization result. The response tables with graphs and optimal results have been obtained through the Taguchi method.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Performance Characteristics of ZnO Nanoparticles’ Dispersed Polyester Oil

Kumar¹,

Manikandan²,

Nagaprasad³

et al. 2022

Advances in Materials Science and Engineering

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“…Finally, multipleregression analysis was performed to find the relationship between cutting parameters and the performance measures. Chandrasheker et al [3] presents an effectiveapproach for the optimization of turning parameter usingthis machining parameters namely Cutting Speed, Depth of Cut, Feed Rate and cutting fluids are optimized withmultiple performance characteristics, such as minimum surface finish and maximummaterial removal rate [4]. Theresponse table and response chart for each level of machiningparameters are from the Taguchi Method and theoptimum levels of machining parameters are chosen.Kumar, et al [5] provided us the optimized value of cutting parameters for turning AISI 316 stainless steel to achieve the better surface finish or roughness using Taguchi"s Total 9 experiments using L9 (3 4 ) Orthogonal Array by using four control factors i.e.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cutting parameters of AISI 1018 Low Carbon Mild steel in turning using green cutting fluid by Taguchi Method

Ghosh¹,

Mandal²,

Das³

et al. 2022

JMEP

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The objective of this work is to optimize the response Cutting parameters (Tool wear and Material Removal Rate) of AISI 1018 Low carbon mild steel by Taguchi Method in straight turningprocess. We have taken speed, feed, depth of cut and types of cutting fluids as machining parameters with their three level values. In our study a commercial semi-synthetic cutting fluid (SSCF) and two vegetable based cutting fluids are used and values of response variables are analyzed to see if the performance of response machining parameters is increased by using Vegetable based cutting fluids for sustainable machining.For individual optimization,Taguchi‟s L9(34 ) orthogonal array and Analysis of Variance(ANOVA) are used. The optimum results are verified with the help of confirmation test

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Analysis and Optimization of Machining Parameters of EN-47 in Turning by Taguchi Technique and Minitab-17 Software

Cited by 2 publications

References 0 publications

Analysis of the Performance Characteristics of ZnO Nanoparticles’ Dispersed Polyester Oil

Analysis of the Performance Characteristics of ZnO Nanoparticles’ Dispersed Polyester Oil

Optimization of Cutting parameters of AISI 1018 Low Carbon Mild steel in turning using green cutting fluid by Taguchi Method

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