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Ashok Kumar Sahoo

Researcher at KIIT University

Publications -  157
Citations -  2102

Ashok Kumar Sahoo is an academic researcher from KIIT University. The author has contributed to research in topics: Machining & Surface roughness. The author has an hindex of 22, co-authored 122 publications receiving 1441 citations.

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Experimental investigations on machinability aspects in finish hard turning of AISI 4340 steel using uncoated and multilayer coated carbide inserts

TL;DR: In this paper, a machinability study on flank wear, surface roughness, chip morphology and cutting forces in finish hard turning of AISI 4340 steel using uncoated and multilayer TiN and ZrCN coated carbide inserts at higher cutting speed range.
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Modeling and optimization of Al/SiCp MMC machining using Taguchi approach

TL;DR: In this paper, the influence of process parameters like cutting speed, feed and depth of cut on flank wear and surface roughness in turning Al/SiCp metal matrix composites using uncoated tungsten carbide insert under dry environment was presented.
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Performance studies of multilayer hard surface coatings (TiN/TiCN/Al2O3/TiN) of indexable carbide inserts in hard machining: Part-II (RSM, grey relational and techno economical approach)

TL;DR: In this paper, the authors presented the mathematical modelling and parametric optimization on flank wear and surface roughness based on response surface methodology and grey-based Taguchi method in finish hard turning of AISI 4340 steel (HRC 47-±-1) using multilayer coated carbide (TiN/TiCN/Al 2 O 3 /TiN) insert under dry environment.
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Development and machinability assessment in turning Al/SiCp-metal matrix composite with multilayer coated carbide insert using Taguchi and statistical techniques

TL;DR: In this paper, the development of Al/SiCp (10% weight) metal matrix composite through a conventional casting process and studied its machinability characteristics in turning using multilayer TiN coated carbide insert under dry environment based on Taguchi's L 9 orthogonal array.
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Multi-attribute decision making parametric optimization and modeling in hard turning using ceramic insert through grey relational analysis: A case study

TL;DR: In this article, a decision on parametric optimization of multi-responses such as flank wear and surface roughness during machining hardened AISI 52100 steel (55±1) steel using mixed ceramic insert under dry environment through grey relational analysis combined with Taguchi approach was made.