Parametric optimization on hot air assisted hybrid machining of soda-lime glass using Taguchi based grey relational analysis
- Title
- Parametric optimization on hot air assisted hybrid machining of soda-lime glass using Taguchi based grey relational analysis
- Creator
- Nagaraj Y.; Jagannatha N.; Sathisha N.; Niranjana S.J.
- Description
- The present research underlines the development of a hybrid method for the machining of soda-lime glass known as the hot air assisted hybrid machining. It is a combination of conventional machining assisted with the jet of hot air. The influence of process variables such as feed of the cutting tool, flow of hot air, depth of cut, and the air temperature on the material removal rate (MRR) and surface roughness (Ra) applied to the grooving operation have been investigated. The Taguchi orthogonal array L27 was considered to reduce the number of experiments. The ANOVA was used to recognize the major influencing process parameters for the MRR and Ra. The results of ANOVA indicate that the air temperature is the most significant parameter for the objective of maximum MRR and minimum Ra with contributions ratios of 56.91% and 52.68% respectively for the grooving operation on soda-lime glass. The optimal machining parameters for the maximum MRR and minimum Ra were found to be A1B1C3D3 and A1B1C1D3 respectively. The multi-objective optimization was performed using the Taguchi based grey relational analysis (GRA). The optimal level of parameters based on GRA for maximum MRR and minimum Ra was found to be A1B1C3D3. In addition, the material removal process was explained with the help of SEM micrographs. 2021, Springer Nature Switzerland AG.
- Source
- Multiscale and Multidisciplinary Modeling, Experiments and Design, Vol-4, No. 3, pp. 169-185.
- Date
- 2021-01-01
- Publisher
- Springer Science and Business Media B.V.
- Subject
- Depth of cut; Hot air assisted hybrid machining; Material removal rate; SEM micrographs; Surface roughness
- Coverage
- Nagaraj Y., Department of Mechanical Engineering, SJM Institute of Technology, Chitradurga, Karnataka, India; Jagannatha N., Department of Mechanical Engineering, SJM Institute of Technology, Chitradurga, Karnataka, India; Sathisha N., Department of Mechanical Engineering, Yenepoya Institute of Technology, Moodabidri, Mangalore, Karnataka, India; Niranjana S.J., Department of Mechanical Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India
- Rights
- Restricted Access
- Relation
- ISSN: 25208160
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Nagaraj Y.; Jagannatha N.; Sathisha N.; Niranjana S.J., “Parametric optimization on hot air assisted hybrid machining of soda-lime glass using Taguchi based grey relational analysis,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/15714.