Enabling and Understanding Ultrasonic Machining of Engineering Ceramics Using Parametric Analysis

Lalchhuanvela, H.; Doloi, B.; Bhattacharyya, B.

doi:10.1080/10426914.2011.585497

Cited by 41 publications

(13 citation statements)

References 8 publications

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“…[1,2]. Tungsten carbide-cobalt composite (WC-Co) possesses a perfect blend of high hardness and superior toughness for desired characteristics such as wear=abrasion resistance, toughness, and dimensional stability, as it is composed of tungsten carbide grains in the matrix phase and cobalt as binder (reinforcement).…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation into the Hole Quality in Ultrasonic Machining of WC-Co Composite

Kataria

Kumar

Pabla

2014

Materials and Manufacturing Processes

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This study has focused on the evaluation of the influence of different input variables (cobalt content, thickness of workpiece, tool profile, tool material, size of abrasive grains, and power rating) on the hole quality (dimensional and form accuracy) obtained in ultrasonic machining of WC-Co composite material. Taguchi's approach has been employed for planning the experiments and optimization of the experimental results. Three measures of hole quality (hole oversize, out of roundness, and conicity) have been investigated under controlled experimental conditions. The experimental results showed that abrasive grit size and power rating were most influential for the hole quality. Hole quality has been found to be improved at higher cobalt content, whereas it is found to be degraded with the use of coarse grit size.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigation into the Hole Quality in Ultrasonic Machining of WC-Co Composite

Kataria

Kumar

Pabla

2014

Materials and Manufacturing Processes

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“…A mathematical model for maximizing the volumetric MRR (mm 3 /s) was also developed as given in Eq. (15). …”

Section: Examplementioning

confidence: 95%

“…The optimization performance of TLBO algorithm was compared with that of GA, SA, ABC, PSO, HS and shuffled frog leaping (SFL) algorithms, and it was observed that TLBO algorithm showed the best optimization performance. Lalchhuanvela et al [15] considered abrasive grit size, slurry concentration, power rating, tool feed rate and slurry flow rate as the predominant USM process parameters, and determined the optimal combination of those process parameters for maximum MRR and minimum SR using a response surface methodology (RSM)-based multi-objective optimization technique. In a follow-up paper, using RSM, Lalchhuanvela et al [16] studied the effects of the above-mentioned process parameters on profile accuracy of machined hexagonal holes.…”

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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“…Lalchhuanvela et al [2] presented a study of the MRR and surface roughness in machining of ceramics (alumina based). It was reported that the higher level of every input parameter gives higher MRR.…”

Section: Introductionmentioning

confidence: 99%

“…Power rating and abrasive grit size are the main significant factors which affect the MRR and TWR [1][2][3][4][5][6][7]. Lalchhuanvela et al [2] presented a study of the MRR and surface roughness in machining of ceramics (alumina based).…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation and Optimization of Machining Characteristics in Ultrasonic Machining of WC–Co Composite Using GRA Method

Kataria

Kumar

Pabla

2015

Materials and Manufacturing Processes

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WC-Co composite material is highly demanded in manufacturing industries, because of its unique properties such as excellent hardness with toughness, higher mechanical strength, good dimensional stability etc. This present investigation is aimed at studying the impact of different experimental conditions (by varying cobalt content, thickness of work piece, tool profile, tool material, abrasive grit size and power rating) on responses of interest (material removal rate and tool wear rate) in ultrasonic drilling of WC-Co composite material. The experiments have been planned by using Taguchi's L-36 orthogonal array and grey relation analysis has been applied for optimization of multiple responses. Analysis of variance (ANOVA) is also employed to find the significant factors. Significant effects are observed for process variables such as cobalt content, abrasive grain size and power level. Tools with higher hardness delivered better machining performance.

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Enabling and Understanding Ultrasonic Machining of Engineering Ceramics Using Parametric Analysis

Cited by 41 publications

References 8 publications

Experimental Investigation into the Hole Quality in Ultrasonic Machining of WC-Co Composite

Experimental Investigation into the Hole Quality in Ultrasonic Machining of WC-Co Composite

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

Experimental Investigation and Optimization of Machining Characteristics in Ultrasonic Machining of WC–Co Composite Using GRA Method

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