Prediction of Material Removal Rate and Surface Roughness in Hot Air Assisted Hybrid Machining on Soda-Lime-Silica Glass using Regression Analysis and Artificial Neural Network-Reference-Cited by-同舟云学术

Prediction of Material Removal Rate and Surface Roughness in Hot Air Assisted Hybrid Machining on Soda-Lime-Silica Glass using Regression Analysis and Artificial Neural Network

Published:2020-09-28 Issue:11 Volume:13 Page:4163-4175
ISSN:1876-990X
Container-title:Silicon
language:en
Short-container-title:Silicon

Author:

Nagaraj Y.^ORCID,Jagannatha N.,Sathisha N.,Niranjana S. J.

Publisher

Springer Science and Business Media LLC

Subject

Electronic, Optical and Magnetic Materials

Link

https://link.springer.com/content/pdf/10.1007/s12633-020-00729-2.pdf

Reference26 articles.

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3. Abhishek K, Hiremath SS, Karunanidhi S (2018) A novel approach to produce holes with high degree of cylindricity through micro-abrasive jet machining (m-AJM). CIRP J Manuf Sci Tec 21:110–119

4. Abhishek K, Hiremath SS (2016) Improvement of geometrical accuracy of micro holes machined through micro abrasive jet machining. Proc CIRP 46:47–50

5. Abhishek K, Hiremath SS (2016) Machining of micro-holes on Sodalime glass using developed micro-abrasive jet machine (μ-AJM). Proc Technol 25:1234–1241

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