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Evaluation of Optimization Parametric Condition During Machining for Al-CSA Composite Using Response Surface Methodology

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Innovative Product Design and Intelligent Manufacturing Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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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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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2695-4

  • Online ISBN: 978-981-15-2696-1

  • eBook Packages: EngineeringEngineering (R0)

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