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2021 | OriginalPaper | Chapter

9. Optimization of Micro-turning Process

Authors : Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni

Published in: Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Publisher: Springer Singapore

Abstract

The micro-turning processes have received a significant attention in the production of micro components with a diversity of materials including brass, aluminium, stainless steel, etc. Cutting speed, feed and depth of cut are the general process parameters/variables for micro turning process and surface roughness, flank wear, MRR, machining time are the typical process responses.

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Literature
1.
go back to reference Durairaj M, Gowri S (2013) Parametric optimization for improved tool life and surface finish in micro turning using genetic algorithm. Procedia Eng 64:878–887 CrossRef Durairaj M, Gowri S (2013) Parametric optimization for improved tool life and surface finish in micro turning using genetic algorithm. Procedia Eng 64:878–887 CrossRef
2.
go back to reference Kumar SL (2019) Measurement and uncertainty analysis of surface roughness and material removal rate in micro turning operation and process parameters optimization. Measurement 140:538–547 CrossRef Kumar SL (2019) Measurement and uncertainty analysis of surface roughness and material removal rate in micro turning operation and process parameters optimization. Measurement 140:538–547 CrossRef
3.
go back to reference Palani S, Natarajan U, Chellamalai M (2013) On-line prediction of micro-turning multi-response variables by machine vision system using adaptive neuro-fuzzy inference system (ANFIS). Mach Vis Appl 24(1):19–32 CrossRef Palani S, Natarajan U, Chellamalai M (2013) On-line prediction of micro-turning multi-response variables by machine vision system using adaptive neuro-fuzzy inference system (ANFIS). Mach Vis Appl 24(1):19–32 CrossRef
4.
go back to reference Patankar NS, Kulkarni AJ (2018) Variations of cohort intelligence. Soft Comput 22(6):1731–1747 CrossRef Patankar NS, Kulkarni AJ (2018) Variations of cohort intelligence. Soft Comput 22(6):1731–1747 CrossRef
5.
go back to reference Piotrowska I, Brandt C, Karimi HR, Maass P (2009) Mathematical model of micro turning process. Int J Adv Manuf Technol 45(1–2):33–40 CrossRef Piotrowska I, Brandt C, Karimi HR, Maass P (2009) Mathematical model of micro turning process. Int J Adv Manuf Technol 45(1–2):33–40 CrossRef
6.
go back to reference Robinson GM, Jackson MJ (2005) A review of micro and nanomachining from a materials perspective. J Mater Process Technol 167(2–3):316–337 CrossRef Robinson GM, Jackson MJ (2005) A review of micro and nanomachining from a materials perspective. J Mater Process Technol 167(2–3):316–337 CrossRef
7.
go back to reference Sofuoğlu MA, Çakır FH, Kuşhan MC, Orak S (2019) Optimization of different non-traditional turning processes using soft computing methods. Soft Comput 23(13):5213–5231 CrossRef Sofuoğlu MA, Çakır FH, Kuşhan MC, Orak S (2019) Optimization of different non-traditional turning processes using soft computing methods. Soft Comput 23(13):5213–5231 CrossRef
8.
go back to reference Wu X, Li L, Zhao M, He N (2016) Experimental investigation of specific cutting energy and surface quality based on negative effective rake angle in micro turning. Int J Adv Manuf Technol 82(9–12):1941–1947 CrossRef Wu X, Li L, Zhao M, He N (2016) Experimental investigation of specific cutting energy and surface quality based on negative effective rake angle in micro turning. Int J Adv Manuf Technol 82(9–12):1941–1947 CrossRef
9.
go back to reference Shastri AS, Kulkarni AJ (2018) Multi-cohort intelligence algorithm: an intra-and inter-group learning behaviour based socio-inspired optimisation methodology. Int J Parallel Emergent Distrib Syst 33(6):675–715 CrossRef Shastri AS, Kulkarni AJ (2018) Multi-cohort intelligence algorithm: an intra-and inter-group learning behaviour based socio-inspired optimisation methodology. Int J Parallel Emergent Distrib Syst 33(6):675–715 CrossRef
12.
go back to reference Tao W, Zhong Y, Feng H, Wang Y (2013) Model for wear prediction of roller linear guides. Wear 305(1–2):260–266 CrossRef Tao W, Zhong Y, Feng H, Wang Y (2013) Model for wear prediction of roller linear guides. Wear 305(1–2):260–266 CrossRef
13.
go back to reference Kulkarni AJ, Durugkar IP, Kumar M (2013) Cohort intelligence: a self supervised learning behavior. In: 2013 IEEE international conference on systems, man, and cybernetics. IEEE, pp 1396–1400 Kulkarni AJ, Durugkar IP, Kumar M (2013) Cohort intelligence: a self supervised learning behavior. In: 2013 IEEE international conference on systems, man, and cybernetics. IEEE, pp 1396–1400
Metadata
Title
Optimization of Micro-turning Process
Authors
Apoorva Shastri
Aniket Nargundkar
Anand J. Kulkarni
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7797-0_9

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