Optimization of machining parameters for improving cutting force and surface roughness in turning of Al6061-TiC in-situ metal matrix composites by using Taguchi method

Kishore, D. Sai Chaitanya; Rao, K. Prahlada; Ramesh, Anand

doi:10.1016/j.matpr.2015.07.249

Cited by 22 publications

(7 citation statements)

References 10 publications

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“…Bhushan 15 presented a study about optimizing turning parameters such as cutting speed, feed rate, and depth of cut in order to achieve minimum power consumption and maximum tool life when machining of the Al/SiC composite. Kishore et al 16 assessed effect of machining parameters like cutting speed, depth of cut, and feed rate in machining of Al6061/TiC composite to achieve the optimum values of cutting force and surface roughness. Rajeswari and Sivasakthivel 17 optimized some machining parameters like cutting speed, helix angle, depth of cut, feed rate, nose radius and rake angle in machining of Al356/SiC metal matrix composites.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the optimal machining of Mg-based composites considering surface roughness, tool life, cutting forces, and productivity

Asgari

Sedighi

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Machining of metal matrix composites (MMC) are being increasingly taken into consideration due to MMCs’ especial features like high strength to weight ratio, resistance to wear and creep. In this paper, effects of cutting parameters on the surface quality, tool life, and cutting force when machining of AZ91/SiC composites are analyzed to make the process optimized. To this end, a design of experiment based on the response surface methodology are done to consider variations of cutting parameters such as cutting speed, feed rate, and depth of cut. Challenges like particles pulled out and tool worn out in the machining process are evaluated. Subsequently, the results of cutting responses are analyzed and a multi-objective optimization is applied on the data to obtain the best surface quality, the highest production volume and the condition at which tool life is longest. The results showed although increasing the feed rate from 0.05 to 0.1 mm/rev leads to the tool life reduction about 70%, it enhances the productivity considerably about 100% for composites with volume fraction 5%. Moreover, at cutting speed 41.05 m/min and feed rate 0.07 mm/rev, machining process of AZ91/SiC-vol.5% becomes efficient.

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Section: Introductionmentioning

confidence: 99%

Investigation on the optimal machining of Mg-based composites considering surface roughness, tool life, cutting forces, and productivity

Asgari

Sedighi

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Kishore et al [14] studied the machinability on Al6061-TiC MMC to know the effect of cutting speed ,feed, and depth of cut on surface roughness and cutting forces using Taguchi L-27 orthogonal array. To investigate the contribution of parameters on response ANOVA was used.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Cutting Parameters of Al-Zro2- Sicp and Graphite Hybrid Metal Matrix Composites

Mahanta¹,

Mishra²

2017

J. Prod. Eng.

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“…Numerous works in machinability of MMCs was conducted by using Taguchi method. And optimization was also done of its process parameters by using taguchi technique [20]. The characteristics of the reinforcing materials have a significant impact on the surface roughness of AMCs as well as other machinability indices.…”

Section: Introductionmentioning

confidence: 99%

Optimizing turning parameters for improved surface quality and productivity of Al-MMC under dry, wet, and MQL conditions

Khandey,

Chandra,

Arya

et al. 2023

Eng. Res. Express

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The machining of Aluminum-based Metal Matrix Composites (Al-MMCs) is challenging due to their inhomogeneity, anisotropic nature, and dynamic cutting forces. In this paper, the effect of machining parameters, including cutting speed, feed rate, and depth of cut, on surface quality (Ra) and main (Normal) cutting forces (Fc) during turning of Al-MMCs under different cutting conditions (DRY, WET, and MQL) was investigated. Statistical analysis tools were used to analyze the experimental results, and ANOVA and RSM techniques were used to model the relationships between machining parameters and responses. The results showed that feed rate significantly affected both Ra and Fc for all machining conditions. The DRY machining mode was optimal for surface finish, and the MQL mode was effective in reducing cutting forces due to its cooling and lubrication properties. A feed rate of 0.03 mm rev−1 was found to be the most favourable for all cutting environments as it resulted in lower Ra and Fc values. Turning in the WET condition also produced lower Ra due to the effective flushing of chips and cleaning of the cutting zone. In contrast, turning in the MQL condition reduced cutting forces by 17% and 50% as compared with dry and Wet conditions respectively under optimal conditions. Similarly, surface roughness improves under dry conditions by 33% and 3% compared to Wet and MQL conditions.

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Optimization of machining parameters for improving cutting force and surface roughness in turning of Al6061-TiC in-situ metal matrix composites by using Taguchi method

Cited by 22 publications

References 10 publications

Investigation on the optimal machining of Mg-based composites considering surface roughness, tool life, cutting forces, and productivity

Investigation on the optimal machining of Mg-based composites considering surface roughness, tool life, cutting forces, and productivity

Optimization of Cutting Parameters of Al-Zro2- Sicp and Graphite Hybrid Metal Matrix Composites

Optimizing turning parameters for improved surface quality and productivity of Al-MMC under dry, wet, and MQL conditions

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