Modelling and analysis of pulsed Nd:YAG laser machining characteristics during micro-drilling of zirconia (ZrO2)

Kuar, Arunanshu S.; Doloi, B.; Bhattacharyya, B.

doi:10.1016/j.ijmachtools.2005.10.016

Cited by 150 publications

(52 citation statements)

References 8 publications

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“…RSM has been used in diverse applications for solving multiresponse optimisation problems, such as optimisation of numerical control machine (Berni and Gonnelli 2006), optimisation of various machining processes (Aggarwal and Singh 2005), modelling and analysis of laser drilling processes (Kuar et al 2006;Ghoreishi et al 2006), optimisation of laser shock peening process to improve performances of micro-electro-mechanical system (MEMS) (Zhu et al 2012), optimisation of laser welding of stainless steels (Khan et al 2012), predictive modelling and optimisation of Nd:YAG laser micro-turning of ceramics (Kibria et al 2013), optimisation of wire electric discharge machining (WEDM) in processing high strength low-alloy steel (HSLA) (Sharma et al 2013), optimisation of WEDM in processing a pure titanium , modelling of plasma spray coating process (Datta et al 2013), optimisation of selective laser sintering process used to produce PA12/MWCNT nanocomposite (Paggi et al 2013), and others (Tsui et al 2004;Kovach et al 2008;Timothy et al 2004;Robinson et al 2004).…”

Section: Response Surface Methodologymentioning

confidence: 99%

Review of Multiresponse Process Optimisation Methods

Šibalija

Majstorovic

2015

Advanced Multiresponse Process Optimisation

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The review of methods used for multiresponse process parameter design and similar multiobjective optimisation problems is discussed in this chapter, implying the following classification: (1) conventional methods based on statistical or mathematical techniques: (i) experimental design techniques (response surface methodology, Taguchi's robust parameter design and related approaches), and (ii) iterative mathematical search techniques; (2) non-conventional methods based on artificial intelligence techniques: (i) fuzzy logic, (ii) artificial neural networks, (iii) metaheuristic search techniques (genetic algorithm, simulated annealing, particle swarm optimisation, ant colony optimisation, tabu search, and recent evolutionary algorithms such as artificial bee colony algorithm, biogeography-based optimisation, and teaching-learning-based optimisation), and (iv) expert systems.

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Section: Response Surface Methodologymentioning

confidence: 99%

Review of Multiresponse Process Optimisation Methods

Šibalija

Majstorovic

2015

Advanced Multiresponse Process Optimisation

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“…of pulses, assist gas (oxygen) pressure, and focal plane position. Kuar et al [95] have also applied CCD and RSM to develop mathematical model for HAZ and taper during micro-drilling of Zirconia (ZrO 2 ) ceramic sheet (1 mm thick) using Q-switched Nd:YAG laser beam system.…”

Section: Article In Pressmentioning

confidence: 99%

Laser beam machining—A review

Dubey¹,

Yadava²

2008

International Journal of Machine Tools and Manufacture

744

230

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“…Ghoreishi and Nakhjavani and Yilbas and Aleem have studied the effect of laser process parameters using design of experiment (DOE) approach and observed that ambient gas has significant influence on the quality of holes [3], [4]. Low et al [5] and Kaur et al [6] have studied the effect of control parameters such as laser energy, pulse duration and pulse frequency on the hole quality such as spatter deposition and taper of the hole during laser drilling of Nimonic 263 and Zirconium oxide (ZrO 2 ) respectively using Nd:YAG laser. Rajesh et al [7] have studied the effect of laser parameters such as lamp current, pulse frequency, gas pressure and pulse width during laser drilling of austenitic stainless steel using statistical approach on the performance measures such as diameter at entry and exit and taper of the hole.…”

Section: Introductionmentioning

confidence: 99%

A Study on Surface Quality of Laser Drilled Holes: Parametric Optimization Using Harmony Search Algorithm

Chatterjee¹,

Abhishek²,

Mahapatra³

2017

IJMMM

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Abstract-Micro-machining of stainless steel is difficult in conventional machining process due to excessive heat generation and micro-structural changes. Hence, lasers have been widely used to localize the heat affected zone in order to control the micro-structural changes. However, the major difficulty arises while performing laser drilling is the formation of spatter which affects the quality of holes. The present study focuses on reduction of spatter area in CO 2 laser drilling of stainless steel using Taguchi method embedded with Harmony search algorithm. The influence of machining parameters such as flushing pressure, laser power and pulse frequency on spatter area has been studied through Analysis of variance (ANOVA). It has been observed that flushing pressure and pulse frequency are the most influencing factors on formation of spatter. Harmony search algorithm has been used to evaluate the optimal parametric setting that attempts to minimize spatter area.Index Terms-CO 2 laser, harmony search (HS) algorithm, laser drilling, spatter.

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Modelling and analysis of pulsed Nd:YAG laser machining characteristics during micro-drilling of zirconia (ZrO2)

Cited by 150 publications

References 8 publications

Review of Multiresponse Process Optimisation Methods

Review of Multiresponse Process Optimisation Methods

Laser beam machining—A review

A Study on Surface Quality of Laser Drilled Holes: Parametric Optimization Using Harmony Search Algorithm

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