Abstract
This chapter describes the formulation of process parameters optimization models for nano-finishing processes of rotational magnetorheological abrasive flow finishing, magnetic abrasive finishing, magnetorheological fluid based finishing, and abrasive flow machining . The application of TLBO and NSTLBO algorithms, Jaya algorithm and its variants such as Quasi-oppositional (QO) Jaya and multi-objective (MO) Jaya is made to solve the single and multi-objective optimization problems of the selected nano-finishing processes. The results of Jaya algorithm and its variants are found better as compared to those given by the other approaches.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Das, M., Jain, V. K., & Ghoshdastidar, P. S. (2010). Nano-finishing of stainless-steel tubes using rotational magnetorheological abrasive flow finishing process. Machining Science and Technology, 14, 365–389.
Das, M., Jain, V. K., & Ghoshdastidar, P. S. (2011). The out-of-roundness of the internal surfaces of stainless steel tubes finished by the rotational–magnetorheological abrasive flow finishing process. Materials and Manufacturing Processes, 26, 1073–1084.
Das, M., Jain, V. K., & Ghoshdastidar, P. S. (2012). Nano-finishing of flat workpieces using rotational–magnetorheological abrasive flow finishing (R-MRAFF) process. International Journal of Advanced Manufacturing Technology, 62, 405–420.
Jain, R. K., & Jain, V. K. (2000). Optimum selection of machining conditions in abrasive flow machining using neural network. Journal of Materials Processing Technology, 108, 62–67.
Mulik, R. S., & Pandey, P. M. (2011). Magnetic abrasive finishing of hardened AISI 52100 steel. International Journal of Advanced Manufacturing Technology, 55, 501–515.
Rao, R. V., & Rai, D. P. (2016). Optimization of advanced finishing processes using teaching-learning-based optimization algorithm. In V. K. Jain (Ed.), Nanofinishing science and technology: Basic and advanced finishing processes. Florida, USA: CRC Press.
Rao, R. V., & Rai, D. P. (2017). A new algorithm for parameter optimization of nano-finishing processes. Scientia Iranica: Transactions on Industrial Engineering, 24(2), 868–875.
Sidpara, A., & Jain, V. K. (2012). Theoretical analysis of forces in magnetorheological fluid based finishing process. International Journal of Mechanical Sciences, 56, 50–59.
Sidpara, A., & Jain, V. K. (2013). Analysis of forces on the freeform surface in magnetorheological fluid based finishing process. International Journal of Machine Tools and Manufacture, 69, 1–10.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Venkata Rao, R. (2019). Single- and Multi-objective Optimization of Nano-finishing Processes Using Jaya Algorithm and Its Variants. In: Jaya: An Advanced Optimization Algorithm and its Engineering Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-78922-4_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-78922-4_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-78921-7
Online ISBN: 978-3-319-78922-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)