An experimental study on ultrasonic machining of Tungsten carbide-cobalt composite materials

Ravinder Kataria; Ravi Pratap Singh; Jatinder Kumar; Ravinder Kataria; Ravi Pratap Singh; Jatinder Kumar

doi:10.3934/matersci.2016.4.1391

AIMS Materials Science

2016, Volume 3, Issue 4: 1391-1409. doi: 10.3934/matersci.2016.4.1391

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An experimental study on ultrasonic machining of Tungsten carbide-cobalt composite materials

Department of Mechanical Engineering, National Institute of Technology Kurukshetra, Haryana, India

Received: 09 September 2016 Accepted: 08 October 2016 Published: 19 October 2016

In current study, the effects of numerous process parameters such as properties of work material, profile of tool, grit size, tool feed rate and power rating on rate of material removal and tool wear have been investigated in ultrasonic machining of WC-Co composite material. Taguchi’s L-18 orthogonal array has been utilized for planning the experiments. Analysis of variance (ANOVA) is also utilized to find the significant factors. Multi-response optimization has been done by using grey relation analysis (GRA) method. Tool with square type profile carries better performance for material removal rate. Significant effects are observed for process variables such as tool profile, abrasive grain size, power level and tool feed rate. Obtained results have been found to corroborate with confirmatory experimental results.
- ANOVA,
- GRA,
- machining,
- MRR,
- optimization,
- Taguchi,
- TWR,
- USM,
- WC-Co
Citation: Ravinder Kataria, Ravi Pratap Singh, Jatinder Kumar. An experimental study on ultrasonic machining of Tungsten carbide-cobalt composite materials[J]. AIMS Materials Science, 2016, 3(4): 1391-1409. doi: 10.3934/matersci.2016.4.1391

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Abstract

In current study, the effects of numerous process parameters such as properties of work material, profile of tool, grit size, tool feed rate and power rating on rate of material removal and tool wear have been investigated in ultrasonic machining of WC-Co composite material. Taguchi’s L-18 orthogonal array has been utilized for planning the experiments. Analysis of variance (ANOVA) is also utilized to find the significant factors. Multi-response optimization has been done by using grey relation analysis (GRA) method. Tool with square type profile carries better performance for material removal rate. Significant effects are observed for process variables such as tool profile, abrasive grain size, power level and tool feed rate. Obtained results have been found to corroborate with confirmatory experimental results.

References

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