Optimization of Process Parameters in Turning Operation of Austenitic Stainless Steel Rod using Taguchi Method and ANOVA

Suresh, Ganzi; Tjprc,

doi:10.24247/ijmperdjun201941

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…The smaller values of both responses are the optimal, for instance. [9]. In order to compare the influence of factors on different responses, the average S/N ratios of responses related to the levels are calculated and given in Table 2.…”

Section: Resultsmentioning

confidence: 99%

A Precision Analysis of Machining Incoloy 901 Aerospace Materials with Cemented Carpide Tools by the Taguchi Method

Altın

2023

MSF

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In this research work, was made a study on the effects of turning conditions on incoloy 901 nickel-based superalloy and performed a precision analyzes using the Taguchi L27 orthogonal array. Using the results of variance analysis (ANOVA) and signal-to-noise (S / N) ratio and taking into account the "smaller is better" approach were statistically investigated to establish a correlation amongst the speed of cutting, feed rate and cutting tool with respect to surface quality and cutting forces. KCU10, K313 and KCU25 cemented carpide cutting tool were used in experimental study. The experimental results have revealed the most important factor influencing the cutting force and surface quality was the type of the cutting tool and it’s had a serious effect on both, KCU10 and followed by KCU25 was found better than the other cutting tool. Optimum parameters for the cutting forces were found 0,150 mm/rev., 90 m/min. with KCU10 cutting tool The found findings can help for revealed the optimization of machining parameters and surface characteristics of Incoloy 901 during high speed turning.

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Section: Resultsmentioning

confidence: 99%

A Precision Analysis of Machining Incoloy 901 Aerospace Materials with Cemented Carpide Tools by the Taguchi Method

Altın

2023

MSF

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Optimization of multiple quality characteristics for end milling under dry cutting environment using desirability function

Sarath

Tamiloli

2021

J. Phys.: Conf. Ser.

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Milling AA6082T6 materials is a difficult venture because of their heterogeneity and a slew of problems, inclusive of surface roughness, that get up for the duration of the machining method and are connected to the material’s homes and slicing settings. The optimization of machining parameters is a crucial section inside the manufacturing method. This research introduces a unique approach for improving machining settings whilst milling aluminum alloy. A technique notorious as desirability function analysis (DFA) turned into worn to optimize machining parameters. DFA is a effective tool for optimizing multi-reaction problems. Milling research for aluminum alloy were completed using tungsten carbide end milling inserts in dry situations, based totally on Taguchi’s L9 orthogonal array. Multi-response issues, along with machining pressure and surface roughness, are used to optimize machining parameters including feed charge, spindle speed, and depth of reduce. person desirability values from the desirability characteristic analysis are used to create a composite desirability cost for the multi-responses. The most effective ranges of parameters had been discovered based at the composite desirability fee and substantial contribution of parameters has been determined the usage of analysis of variance.

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Multi Response optimization of drilling parameters in Glass Fiber Reinforced Thermoplastic composites

Srinivasan

Arunkumar²,

Meghanathan³

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Optimization of drilling parameters in Glass Fiber Reinforced Thermoplastic composites (GFRTP) has been analyzed using grey relational analysis in this research. The goal of this thesis was to investigate the effect of drilling parameters on composites of Glass Fiber Reinforced Thermoplastic composites (GFRTP) using hand layup method. The circularity and surface roughness are diminished. In drilling, tests were carried out on Glass Fiber Reinforced Thermoplastic composites with HSS drill bits of 6 mm, 7 mm and 8 mm diameter used in dry conditions using the Taguchi L9 orthogonal array process. ANOVA analysed the effecton output parameters such as surface roughness and circularity of multiple drilling input parameters such as cutting speed, feed, and cutting depth. For finding the best machining state, Grey relational analysis equations were used. For the drilling of hybrid Glass Fiber Reinforced Thermoplastic composites, the most critical parameter, namely the cutting speed, was found to have affected the thrust power, circularity and surface roughness.

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Optimization of Process Parameters in Turning Operation of Austenitic Stainless Steel Rod using Taguchi Method and ANOVA

Cited by 3 publications

References 1 publication

A Precision Analysis of Machining Incoloy 901 Aerospace Materials with Cemented Carpide Tools by the Taguchi Method

A Precision Analysis of Machining Incoloy 901 Aerospace Materials with Cemented Carpide Tools by the Taguchi Method

Optimization of multiple quality characteristics for end milling under dry cutting environment using desirability function

Multi Response optimization of drilling parameters in Glass Fiber Reinforced Thermoplastic composites

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