Taguchi’s optimization of process parameters for production accuracy in ultrasonic drilling of engineering ceramics

Jadoun, R.S.; Kumar, Pradeep; Mishra, B.K.

doi:10.1007/s11740-009-0164-2

Cited by 34 publications

(20 citation statements)

References 14 publications

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“…The response surface methodology (RSM) and Taguchi techniques for design of experiments seem to be the most wide-spread methodologies for the surface roughness prediction problem. Jadoun et al [1] employed Taguchi method to investigate the effect of some process parameters on tool wear and production accuracy in ultrasonic drilling of holes on alumina based ceramics. Some researchers [2,3] investigated the influence of various operating parameters on material removal rate (MRR), surface quality, and other characteristics on USM of engineering materials.…”

Section: Introductionmentioning

confidence: 99%

Enabling and Understanding Ultrasonic Machining of Engineering Ceramics Using Parametric Analysis

Lalchhuanvela

Doloi

Bhattacharyya

2012

Materials and Manufacturing Processes

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Ultrasonic machining (USM) on ceramics is highly demanded in the present industry because of its wide and potential uses in various fields in modern industries. Experiments based on central composite second-order rotatable design have been conducted on ultrasonic drilling of hexagonal shaped hole on high alumina ceramic. RSM was employed for developing empirical models. Analysis on machining characteristics of ultrasonic drilling operation was made based on the developed models. In this study, abrasive grit size, slurry concentration, power rating, tool feed rate, and slurry flow rate are considered as USM process parameters. The process performances on workpiece material with respect to material removal rate (MRR) and surface roughness are evaluated by using analysis of variance (ANOVA). The optimum parametric combination of USM process parameters for maximum MRR and minimum value of surface roughness have been obtained through multiobjective optimization.

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Section: Introductionmentioning

confidence: 99%

Enabling and Understanding Ultrasonic Machining of Engineering Ceramics Using Parametric Analysis

Lalchhuanvela

Doloi

Bhattacharyya

2012

Materials and Manufacturing Processes

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“…The outcome of a Taguchi method-based model was adopted for developing a mathematical formulation of SR using Buckingham's p-theorem. Jadoun et al [8] applied Taguchi method for identifying the optimal settings for workpiece material, tool material, grit size of the abrasive, power rating and slurry concentration of an USM process. The effects of those process parameters on oversize, out-of-roundness and conicity were also studied.…”

Section: Literature Reviewmentioning

confidence: 99%

Parametric optimization of ultrasonic machining process using gravitational search and fireworks algorithms

Goswami

Chakraborty

2015

Ain Shams Engineering Journal

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Ultrasonic machining (USM) is a mechanical material removal process used to erode holes and cavities in hard or brittle workpieces by using shaped tools, high-frequency mechanical motion and an abrasive slurry. Unlike other non-traditional machining processes, such as laser beam and electrical discharge machining, USM process does not thermally damage the workpiece or introduce significant levels of residual stress, which is important for survival of materials in service. For having enhanced machining performance and better machined job characteristics, it is often required to determine the optimal control parameter settings of an USM process. The earlier mathematical approaches for parametric optimization of USM processes have mostly yielded near optimal or sub-optimal solutions. In this paper, two almost unexplored nonconventional optimization techniques, i.e. gravitational search algorithm (GSA) and fireworks algorithm (FWA) are applied for parametric optimization of USM processes. The optimization performance of these two algorithms is compared with that of other popular population-based algorithms, and the effects of their algorithm parameters on the derived optimal solutions and computational speed are also investigated. It is observed that FWA provides the best optimal results for the considered USM processes. Ó 2014 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

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“…, and Jadoun et al (2009) have observed multiple responses while studying the USM processes. However, they have attempted to determine the optimal process conditions separately for different responses.…”

Section: Introductionmentioning

confidence: 99%

“…have determined the optimal conditions for MRR, TWR and SR separately. Jadoun et al (2009) have carried out a study on ultrasonic drilling of engineering ceramics and observed three performance measures, e.g. out-of-roundness (OOR), hole oversize (HOS) and conicity (CC).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Multiple Responses of Ultrasonic Machining (USM) Process: A Comparative Study

Chakravorty¹,

Gauri²,

Chakraborty³

2013

ijiec

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Ultrasonic machining (USM) process has multiple performance measures, e.g. material removal rate (MRR), tool wear rate (TWR), surface roughness (SR) etc., which are affected by several process parameters. The researchers commonly attempted to optimize USM process with respect to individual responses, separately. In the recent past, several systematic procedures for dealing with the multi-response optimization problems have been proposed in the literature. Although most of these methods use complex mathematics or statistics, there are some simple methods, which can be comprehended and implemented by the engineers to optimize the multiple responses of USM processes. However, the relative optimization performance of these approaches is unknown because the effectiveness of different methods has been demonstrated using different sets of process data. In this paper, the computational requirements for four simple methods are presented, and two sets of past experimental data on USM processes are analysed using these methods. The relative performances of these methods are then compared. The results show that weighted signal-to-noise (WSN) ratio method and utility theory (UT) method usually give better overall optimisation performance for the USM process than the other approaches.

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Taguchi’s optimization of process parameters for production accuracy in ultrasonic drilling of engineering ceramics

Cited by 34 publications

References 14 publications

Enabling and Understanding Ultrasonic Machining of Engineering Ceramics Using Parametric Analysis

Enabling and Understanding Ultrasonic Machining of Engineering Ceramics Using Parametric Analysis

Parametric optimization of ultrasonic machining process using gravitational search and fireworks algorithms

Optimization of Multiple Responses of Ultrasonic Machining (USM) Process: A Comparative Study

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