Optimization of Co2 Laser Cutting Parameter on Motor Cycle Frame Materials
A. Parthiban1, V. Vijayan2, S. Sathish3 and T. Sathish4
1A. Parthiban, Department of Mechanical Engineering, Vels institute of Science, Technology and Advanced Studies, Chennai, (Tamil Nadu), India.
2V. Vijayan, Department of Mechanical Engineering, K. Ramakrishnan College of Technology, Trichy, (Tamil Nadu), India.
3S. Sathish, Department of Mechanical Engineering, Hindustan institute of Technology, Chennai. (Tamil Nadu), India.
4T. Sathish, Department of Mechanical Engineering, SMR East college of Engineering and Technology, Thanjavur, (Tamil Nadu), India.
Manuscript received on 11 April 2019 | Revised Manuscript received on 16 May 2019 | Manuscript published on 30 May 2019 | PP: 409-412 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3396058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Two wheeler frame are very complicated to assemble in two wheeler manufacturing automobile industries, Because of difficult to cut the materials and profiles of the frame. So that the present works are studied CO2 laser cutting of austenite type stainless steel materials quality are investigated. In this present investigation, optimization is based on Response surface methodology approach with a grey relational analysis. Then the experimental runs have been planned using response surface methodology with three significant input parameters such as the assist gas pressure, the laser beam power, and the cutting speed. By considering responses such as bottom and top kerf width of the Austenite type AISI 304 is a stainless steel material in the curved profile. In this investigation ANOVA uses to investigate the performance characteristics due to the influence of the process parameters during the CO2 Laser cutting. The results obtained by this analysis clearly proves that the cutting speed and the laser beam power are the two major factors that desired performance characteristics and also optimum parameters are identified. The regression models are developed to be used RSM. The confirmation test was conducted to validate the results achieved by GRA approach. This work is to help the two wheeler manufacturing automobile industrialist for selecting parameters to attain desired outputs.
Index Terms: Motorcycle Frame Material; RSM; GRA; ANOVA; Two-Wheeler Manufacturing.
Scope of the Article: Discrete Optimization