Jagadish Jagadish

Dr. Jagadish Jagadish

Assistant Professor
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 January 2016 in The International Journal of Advanced Manufacturing Technology
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Journal Article
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JJJagadish Jagadish
Jagadish Jagadish
SBSumit Bhowmik
Sumit Bhowmik
ARAmitava Ray
Amitava Ray

4 March 2021 in Metals
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Manjunath Patel GCManjunath Patel GC
Manjunath Patel GC
BBBengal College of Engineering and Technology Durgapur Bengal
Bengal College of Engineering and Technology Durgapur Bengal
JJJagadish Jagadish
Jagadish Jagadish
Danil PimenovDanil Pimenov
Danil Pimenov
KGKhaled Giasin
Khaled Giasin
Industries demand stringent requirements towards economical machining without hindering the surface quality while cutting high carbon high chromium (HcHcr) steel. Electrical discharge machining (EDM) of HcHcr steel aims at reducing machining cost (i.e., maximize material removal rate (MRR) and minimize tool wear rate (TWR)) with good surface quality (i.e., minimize surface roughness (SR)). A comparative study was carried out on EDM of HcHcr D2 steel (DIN EN ISO 4957) by applying Taguchi L18 experimental design considering different electrode materials (copper, graphite, and brass), dielectric fluids (distilled water and kerosene), peak current, and pulse-on-time. The process performances were analyzed with respect to material removal rate, surface roughness, and tool wear rate. Pareto analysis of variance was employed to estimate the significance of the process variables and their optimal levels for achieving lower SR and TWR and higher MRR. Hybrid Taguchi-CRITIC-Utility and Taguchi-PCA-Utility methods were implemented to determine the optimal EDM parameters. Higher MRR of 0.0632 g/min and lower SR of 1.68 µm and TWR of 0.012 g/min was attained by graphite electrode in presence of distilled water as dielectric fluid compared to the brass and copper. Additionally, a metallographic analysis was carried out to study the surface integrity on the machined surfaces. Micrographic analysis of the optimal conditions showed lower surface roughness and fewer imperfections (lesser impression, waviness surface, and micro-cracks) compared to worst conditions.

24 April 2015 in The International Journal of Advanced Manufacturing Technology
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JJJagadish Jagadish
Jagadish Jagadish
ARAmitava Ray
Amitava Ray

22 March 2021 in Neural Computing and Applications
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TSTatjana V. Sibalija
Tatjana V. Sibalija
BBBengal College of Engineering and Technology Durgapur Bengal
Bengal College of Engineering and Technology Durgapur Bengal
Manjunath Patel GCManjunath Patel GC
Manjunath Patel GC
JJJagadish Jagadish
Jagadish Jagadish

24 January 2022 in Journal of the Brazilian Society of Mechanical Sciences and Engineering
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BBBinoy Kumar Baroi
Binoy Kumar Baroi
JJJagadish Jagadish
Jagadish Jagadish
PPPromod Kumar Patowari
Promod Kumar Patowari

18 November 2015 in Journal of Intelligent Manufacturing
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Journal Article
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JJJagadish Jagadish
Jagadish Jagadish
SBSumit Bhowmik
Sumit Bhowmik
ARAmitava Ray
Amitava Ray