Taguchi parametric optimization on stellite metal matrix using metal inert gas weld

Madan, D.; Babu, K. Vinoth; Krishnan, P. Gopi; Marichamy, S.; Ganesan, P.

doi:10.1063/5.0025720

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Taguchi optimization and analysis of variance have been studied in the machining of duplex brass [17,18]. e Taguchi method and the effect of S/N ratio on quality characteristics have been investigated [19]. Nanoparticle concentration and its effect were analyzed in turning of EN8 steel [20].…”

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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“…The different unconventional machining factors and their responses were optimized by taguchi approach. The machining rate was enhanced with optimal level [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Optimization and Performance of Laser Machining on Domex Steel

Manikandan

Harinarayanan

Surender

et al. 2022

KEM

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In metal forming process, laser machining is plays a foremost role. It is utilized to machine very hard profile with exceptional quality characteristics. Domex 700 steel has high strength and wear resistant. The formability, durability and weldability of the domex steel are better than other grade of steels. Laser beam machining is suitable to machine domex steel with different input constrains such as power of laser, laser speed and standoff distance (SoD). The responses such as rate of metal removal (RMR) and surface roughness (SR) were recorded based on the variation of input factors. The effect and quality characteristics were optimized through taguchi approach. The variance analysis was provided the contribution of each factor with their effect on the response.

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Taguchi parametric optimization on stellite metal matrix using metal inert gas weld

Cited by 2 publications

References 4 publications

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

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

Optimization and Performance of Laser Machining on Domex Steel

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