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Dive into the research topics where Ashok Kumar Sahoo is active.

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Featured researches published by Ashok Kumar Sahoo.


International Journal of Experimental Design and Process Optimisation | 2011

Mathematical modelling and multi-response optimisation using response surface methodology and grey based Taguchi method: an experimental investigation

Ashok Kumar Sahoo; Bidyadhar Sahoo

The present study deals with the application of full factorial design of experiment and response surface methodology in developing mathematical model considering input variables, i.e., cutting speed, feed and depth of cut for flank wear and surface roughness when hard turning AISI 4340 steel (HRC 47±1) using multilayer coated carbide insert (TiN/TiCN/Al2O3/ZrCN) under dry environment. Mathematical model output concluded that the RSM models proposed are statistically significant and adequate because of higher R2 value. It shows the high correlation between the experimental and predicted values. From ANOVA table, it is evident that, feed is the significant factor affecting surface roughness followed by cutting speed. Depth of cut is found to be insignificant from the studied range. For flank wear, cutting speed is the most significant factor followed by depth of cut. Feed is found to be insignificant for flank wear. The improvement of grey relational grade from initial parameter combination (d2-f3-v4) to th...


Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | 2015

Performance assessment in hard turning of AISI 1015 steel under spray impingement cooling and dry environment

Susant K. Sahu; Purna Chandra Mishra; Kashfull Orra; Ashok Kumar Sahoo

This work investigates the effects of cutting parameters on surface roughness (Ra, µm), cutting temperature (T, °C) at the chip–tool interface and the material removal rate during hard machining of AISI 1015 (43 ± 1 HRC) steel using carbide insert under dry and spray impingement cooling environment. A combined technique using orthogonal array and analysis of variance was employed to investigate the contribution of spindle speed, feed rate, depth of cut and air pressure on responses. It is observed that with spray impingement cooling, cutting performance improves compared to dry cutting. The predicted multi-response optimization setting (N3-f1-d1-P2) ensures minimization of surface roughness, cutting temperature and maximization of material removal rate.


Archive | 2018

Synthesis and characterization of Al & SiCp nano particles by non-contact ultrasonic assisted method

Pradyut Kumar Swain; Ratnakar Das; Ashok Kumar Sahoo; Bikash Naik; Payodhar Padhi

The present study deals with proper mixing of SiCp nano particle in the aluminum metal matrix in two stages of processing i.e. primary and secondary. During primary processing, the breaking of agglomeration of nano particles take place and these are mixed with liquid aluminum powder using high frequency(35kHz) mechanical vibration. But, during secondary processing, mixing of nano particles along with subsequent cooling take place using high frequency non contact ultrasonic method. The study also reveals that in the liquid metal nano particle were uniformly dispersed and the segregation of the particles near the grain boundaries is due to pushing of the nano particle during grain growth. The study was performed by taking aluminum as matrix and SiCp as reinforcement with weight fraction of 2% and 3% and SiCp particles sizes of 30nm each. Scanning electron microscopy(SEM) and X-ray diffraction(XRD) were conducted for characterization of nano composite material.The present study deals with proper mixing of SiCp nano particle in the aluminum metal matrix in two stages of processing i.e. primary and secondary. During primary processing, the breaking of agglomeration of nano particles take place and these are mixed with liquid aluminum powder using high frequency(35kHz) mechanical vibration. But, during secondary processing, mixing of nano particles along with subsequent cooling take place using high frequency non contact ultrasonic method. The study also reveals that in the liquid metal nano particle were uniformly dispersed and the segregation of the particles near the grain boundaries is due to pushing of the nano particle during grain growth. The study was performed by taking aluminum as matrix and SiCp as reinforcement with weight fraction of 2% and 3% and SiCp particles sizes of 30nm each. Scanning electron microscopy(SEM) and X-ray diffraction(XRD) were conducted for characterization of nano composite material.


Measurement | 2012

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

Ashok Kumar Sahoo; Bidyadhar Sahoo


Measurement | 2013

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)

Ashok Kumar Sahoo; Bidyadhar Sahoo


Measurement | 2013

Modeling and optimization of Al/SiCp MMC machining using Taguchi approach

Ashok Kumar Sahoo; Swastik Pradhan


Archives of Civil and Mechanical Engineering | 2013

Development and machinability assessment in turning Al/SiCp-metal matrix composite with multilayer coated carbide insert using Taguchi and statistical techniques

Ashok Kumar Sahoo; S. Pradhan; A.K. Rout


International Journal of Industrial Engineering Computations | 2011

Surface roughness model and parametric optimization in finish turning using coated carbide insert: Response surface methodology and Taguchi approach

Ashok Kumar Sahoo; Bidyadhar Sahoo


Procedia Engineering | 2012

Multi-Objective Optimization and Predictive Modeling of Surface Roughness and Material Removal Rate in Turning Using Grey Relational and Regression Analysis

Ashok Kumar Sahoo; Achyuta Nanda Baral; Arun Kumar Rout; B.C. Routra


Procedia Engineering | 2012

Response Surface Methodology and Genetic Algorithm used to Optimize the Cutting condition for Surface Roughness Parameters in CNC Turning

B.C. Routara; Ashok Kumar Sahoo; A.K. Parida; P.C. Padhi

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Bidyadhar Sahoo

Indira Gandhi Institute of Technology

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