Abstract
In this paper, minimization of surface roughness, tool wear, cutting force, and thrust force is carried out by optimizing machining parameters in turning of Haynes 25 superalloy. Coated carbide tool was used for machining, and response surface desirability method is used for optimization. Central composite design of response surface methodology was used for design of experiments. Prediction models were developed for each response using response surface methodology. Analysis of variance was carried out to confirm the correctness of individual models. Later, optimization was performed. The optimal parameters are validated by performing additional experiments. It is found that predicted values and experimental results are closely matching.
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References
Sarıkaya M, Güllü A (2015) Multi-response optimization of minimum quantity lubrication parameters using Taguchi-based grey relational analysis in turning of difficult-to-cut alloy Haynes 25. J Cleaner Prod 91:347–357
Sarikaya M, Güllü A (2014) The analysis of process parameters for turning cobalt-based super alloy Haynes 25/l605 using design of experiment. Solid State Phenom 220–221:749–753
Sarıkaya M, Güllü A (2015) Examining of tool wear in cryogenic machining of Cobalt-based Haynes 25 superalloy. Int J Chem Mol Nucl Mater Metall Eng 9(8):984–988
Sarıkaya M, Yılmaz V, Güllü A (2016) Analysis of cutting parameters and cooling/lubrication methods for sustainable machining in turning of Haynes 25 superalloy. J Cleaner Prod 133:172–181
Khidhir BA, Mohamed B (2010) Machining of Nickel based alloys using different cemented carbide tools. J Eng Sci Technol 5(3):264–271
Deshpande Y, Andhare A, Sahu NK (2017) Estimation of surface roughness using cutting parameters, force, sound and vibration in turning of Inconel 718. J Brazilian Soc Mech Sci Eng 39(12):5087–5096
Deshpande Y, Andhare A, Padole P (2018) Experimental results on the performance of cryogenic treatment of tool and minimum quantity lubrication for machinability improvement in the turning of Inconel 718. J Brazilian Soc Mech Sci Eng 40(6):1–21
Sahu NK, Andhare A (2018) Design of experiments applied to industrial process. In: Statistical approaches with emphasis on design of experiments applied to chemical processes. InTech Open, 5–20
Sahu NK, Andhare A (2019) Multi objective optimization for improving machinability of Ti-6Al-4 V using RSM and advanced algorithms. J Comput Design Eng 6:1–12
Sahu NK, Andhare A (2017) Modelling and multi objective optimization for productivity improvement in high speed milling of Ti-6Al-4 V using RSM and GA. J Brazilian Soc Mech Sci Eng 39(12):5069–5085
Neşeli S, Yaldız S, Türkeş E (2011) Optimization of tool geometry parameters for turning operations based on the response surface methodology. Measurement 44(3):580–587
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Andhare, A.B., Kannathasan, K., Funde, M. (2021). Optimization of Machining Parameters for Turning of Haynes 25 Cobalt-Based Superalloy. In: Kalamkar, V., Monkova, K. (eds) Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-3639-7_84
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DOI: https://doi.org/10.1007/978-981-15-3639-7_84
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