Abstract
Aluminum Al6061-T6 is a common alloy which is used for many purposes due to its superior mechanical properties such as hardness and weldability. Implementation of CNC milling machine in processing Al6061-T6 would be a good process especially in producing varieties shape of products to adapt with different applications. However, the demand for high quality focuses attention on product quality, especially the roughness of the machined surface, because of its effect on product appearance, function, and reliability. Introducing correct lubrication in the machining zone could improve the product quality. Due to complexity and uncertainty of the machining processes, soft computing techniques are being preferred for predicting the performance of the machining processes and. In this chapter, a new application of ANFIS to predict the performance of machining AL-6061-T6 using SiO2 nanolubricant is presented. The parameters of SiO2 nanolubrication include SiO2 concentration, nozzle angle and air carrier pressure are investigated for the lowest cutting force, cutting temperature and surface roughness with the 96.195, 98.27 and 91.37 % accuracy obtained between experimental and numerical measurement, respectively.
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Acknowledgments
This work was supported by the high impact research (HIR) grant number: HIR-MOHE-16001-00-D000001 from the Ministry of Higher Education, Malaysia.
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Karim, M.S.A., Sarhan, A.A.D.M. (2015). ANFIS Modeling for Higher Machining Performance of Aluminium Tempered Grade 6061 Using Novel SIO2 Nanolubrication. In: Kim, H., Amouzegar, M., Ao, Sl. (eds) Transactions on Engineering Technologies. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-7236-5_39
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DOI: https://doi.org/10.1007/978-94-017-7236-5_39
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