Abstract
Ultrasonic machining is a well-known advanced machining process to machine typical shapes, holes, and micro-features in hard and brittle materials. Interventions of multi-criteria decision-making techniques are required to optimize the process parameters for better part quality, productivity , and sustainability of this type of advanced processes. Implementation of integrated fuzzy–MCRA (multi-criteria ranking analysis) for modeling and optimization of ultrasonic machining process to improve material removal rate and dimensional accuracy during machining of zirconia composites is discussed in this chapter. Investigation results indicate effectiveness of this technique for multi-objective optimization of ultrasonic machining parameters to produce high-quality parts made of composites with excellent productivity .
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Thoe TB, Aspinwall DK, Wise MLH (1998) Review on ultrasonic machining. Int J Mach Tools Manuf 38(4):239–255
Benedict GF (1987) Non-traditional manufacturing processes. Marcel Dekker, New York
Gupta K, Jain NK, Laubscher RF (2016) Chapter-4 Assisted hybrid machining processes. In: Gupta K, Jain NK, Laubscher RF (eds) Hybrid machining processes. Springer, Cham
Kumar J (2013) Ultrasonic machining—a comprehensive review. Mach Sci Technol 17(3):325–379
Gill SS, Singh J (2010) An adaptive neuro-fuzzy inference system modeling for material removal rate in stationary ultrasonic drilling of sillimanite ceramic. Expert Syst Appl 37(8):5590–5598
Chakravorty R, Gauri SK, Chakraborty S (2013) Optimization of multiple responses of ultrasonic machining (USM) process: a comparative study. Int J Ind Eng Comput 4(2):285–296
Jain NK, Jain VK, Deb K (2007) Optimization of process parameters of mechanical type advanced machining processes using genetic algorithms. Int J Mach Tools Manuf 47(6):900–919
Goswami D, Chakraborty S (2015) Parametric optimization of ultrasonic machining process using gravitational search and fireworks algorithms. Ain Shams Eng J 6(1):315–331
Kumar J, Khamba JS (2010) Multi-response optimisation in ultrasonic machining of titanium using Taguchi’s approach and utility concept. Int J Manuf Res 5(2):139–160
Kumar V, Khamba JS (2009) Parametric optimization of ultrasonic machining of co-based super alloy using the Taguchi multi-objective approach. Prod Eng Res Dev 3:417–425
Rao RV, Pawar PJ, Davim JP (2010) Parameter optimization of ultrasonic machining process using non-traditional optimization algorithms. Mater Manuf Process 25(10):1120–1130
Jagadish Ray A (2015) Green cutting fluid selection using multi-attribute decision making approach. J Inst Eng Ser C 96:35–39
Chakravorty R, Gauri SK, Chakraborty S (2013) Optimization of multiple responses of ultrasonic machining (USM) process: a comparative study. Int J Ind Eng Comput 4:285–296
Logothetis N, Haigh A (1998) Characterizing and optimizing multi-response processes by the taguchi method. Qual Reliab Eng Int 4:159–169
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bhowmik, S., Jagadish, Gupta, K. (2019). Modeling and Optimization of Ultrasonic Machining Process. In: Modeling and Optimization of Advanced Manufacturing Processes. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-030-00036-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-00036-3_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00035-6
Online ISBN: 978-3-030-00036-3
eBook Packages: EngineeringEngineering (R0)