Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Subject The topic of the resource Artificial neural network (ANN); Hot air assisted hybrid machining (HAAHM); Material removal rate; Regression analysis (RA); Surface roughness Description An account of the resource Hybrid machining is a combination of conventional with the non-conventional process or two non-conventional processes. In the present work, an attempt has been made to combine hot air with a conventional cutting tool to form a novel Hot Air Assisted Hybrid Machining (HAAHM) for the machining of soda-lime-silica glass. The mathematical model for the Material Removal Rate (MRR) and Surface Roughness (Ra) using Regression Analysis (RA) and the Artificial Neural Network (ANN) models has been developed for the grooving process. The deviation of 8.24% and 7.70% were found in the prediction of MRR and Ra by regression analysis and the deviation of 1.89% and 1.70% for MRR and Ra using an artificial neural network model. The deviation between the predicted and the experimental results of both the models are found to be within the permissible limit. Higher predictive capabilities were observed in ANN model than the regression model. However, both models demonstrated good agreement with the MRR of soda-lime-silica glass by this hybrid machining process. 2020, Springer Nature B.V. Creator An entity primarily responsible for making the resource Nagaraj Y.; Jagannatha N.; Sathisha N.; Niranjana S.J. Source A related resource from which the described resource is derived Silicon, Vol-13, No. 11, pp. 4163-4175. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s12633-020-00729-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12633-020-00729-2</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091683594&amp;doi=10.1007%2Fs12633-020-00729-2&amp;partnerID=40&amp;md5=3e25985e70844c5871167ce2568f14f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091683594&amp;doi=10.1007%2fs12633-020-00729-2&amp;partnerID=40&amp;md5=3e25985e70844c5871167ce2568f14f2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1876990X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant 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, Mangaluru, Karnataka, India; Niranjana S.J., Department of Mechanical Engineering, Christ (Deemed to be University), Bangalore, Karnataka, India