Abstract
This work aims to the optimization of cutting process parameters on the surface finish for Aluminum (Al)-coconut shell ash (CSA) composite reinforced with 15% volume prepared via stir casting route. The machining has been performed with H20TI tool. The experiments have been designed using response surface methodology (RSM), i.e., Box–Behnken design. The input process parameters are speed (A), feed (B) and depth of cut (C), whereas the output is surface finish (Ra). Better surface finish and reduction of tool wear can be achieved with deployment of lubricant. ANOVA has been performed and revealed feed is the most influencing parameter followed the depth of cut on surface finish.
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References
Sankara Raju RS, Panigrahi MK, Ganguly RI, Srinivasa Rao G (2018) Optimization of tribological behavior on Al-coconut shell ash composite at elevated temperature. In: IOP conference series: materials science and engineering, vol 314, p 012009
Siva Sankar Raju R, Srinivasa Rao G, Muralidhara Rao M (015) Optimization of Machinability properties on aluminium metal matrix composite prepared by in-situ ceramic mixture using coconut shell ash—Taguchi approach. Int J Concept Mech Civ Eng 3(2):17–21
Sankara Raju RS, Panigrahi MK, Ganguly RI, Srinivasa Rao G (2019) Tribological behavior of Al-1100-coconut shell ash (CSA) composite at elevated temperature. Tribol Int 129:55–66
Siva Sankara Raju R, Panigrahi MK, Ganguly RI, Srinivasa Rao G (2017) Investigation of tribological behavior of a novel hybrid composite prepared with Al-coconut shell ash mixed with graphite. Metall Mater Trans A 48(8):3892–3903
Raju SS, Thimothy P, Ch R (2018) Estimation of physical, mechanical and machinability properties of Al-MMCs reinforced with coconut shell ash particulates. Ceram Sci Eng 1(2):1–7
Baradeswaran A, Vettivel SC, Elaya Perumal A, Selvakumar N, Franklin Issac R (2014) Experimental investigation on mechanical behavior, modeling and optimization of wear parameters of B4C and graphite reinforced aluminum hybrid composites. Mater Des 63:620–632
Kök M, Özdin K (2007) Wear resistance of aluminium alloy and its composites reinforced by Al2O3 particles. J Mater Process Technol 183(2–3):301–309
Raju SS, Senapathi AK, Rao GS (2017) Estimation of tribological performance of Al-MMC reinforced with a novel in-situ ternary mixture using grey relational analysis. Indian J Sci Technol 10(15):1–9
Altinkok N, Özsert I, Findik F (2013) Dry sliding wear behavior of Al2O3/SiC particle reinforced aluminium based MMCs fabricated by stir casting method. Acta Phys Pol A 124(1):11–19
Rajesh S, Krishna AG, Murty PR, Duraiselvam M (2014) Statistical analysis of dry sliding wear behavior of graphite reinforced aluminum MMCs. Eng Technol 6:1110–1120
Sahin Y (2010) Abrasive wear behaviour of SiC/2014 aluminium composite. Tribiol Int 43:939–943
Bello SA, Raheem IA, Raji NK (2017) Study of tensile properties, fractography and morphology of aluminium (1xxx)/coconut shell micro particle composites. J King Saud Univ Eng Sci 29(3):269–277
Mishra AK, Srivastava RK (2016) Wear behaviour of Al-6061/SiC metal matrix composites. J Inst Eng Ser C 1–7
Raju SS, Rao GS, Siva BV (2018) Experimental studies of mechanical properties and tribological behaviour of aluminium composite reinforced with coconut shell ash particulates. Int J Mater Eng Innov 9(2):140–157
Rallabandi SR, Srinivasa Rao G (2019) Assessment of Tribological performance of Al-coconut shell ash particulate—MMCs using grey-fuzzy approach. J Inst Eng Ser C 100(1):13–22
Raju RSS, Rao GS (2017) Assessment of tribological performance of coconut shell ash particle reinforced Al–Si–Fe composites using grey-fuzzy approach. Tribol Ind 39(3):364–377
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Sivasankara Raju, R., Rao, C.J., Sreeramulu, D., Prasad, K. (2020). Evaluation of Optimization Parametric Condition During Machining for Al-CSA Composite Using Response Surface Methodology. In: Deepak, B., Parhi, D., Jena, P. (eds) Innovative Product Design and Intelligent Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-2696-1_46
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DOI: https://doi.org/10.1007/978-981-15-2696-1_46
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