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Articles by R.K. Garg
Total Records ( 3 ) for R.K. Garg
  R.K. Garg , P. Sairkar , N. Silawat , N. Vijay , N. Batav and N.N. Mehrotra
  The present study was aimed to elucidate its genetic diversity based on RAPD markers from 6 individuals belonging to two ecological habitats i.e., upper lake and lower lake of Bhopal. Ten random 10-mer primers were scored in each of the individuals from two locations out of which three primers, which gave polymorphism, were selected for Polymerase Chain Reaction (PCR) and used in the final RAPD analysis. The complementary approach of RAPD was used to evaluate the genetic diversity among all the accessions using 3 highly polymorphic primers. Using these primers, 128 scorable DNA fragments were found, of which 24 (18.75%) were polymorphic. By comparing RAPD banding patterns, small variations were found between and within the populations. The present study yielded data elucidating the usefulness of complementary approaches to make diversity analysis more explanatory and purposeful for optimum genetic amelioration and effective conservation of its genotypic variability.
  Kuldeep Ojha , R.K. Garg and K.K. Singh
  In this study, a Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) study on the Powder Mixed Electrical Discharge Machining (PMEDM) of EN-19 (AISI-4140) steel has been carried out. Response Surface Methodology (RSM) has been used to plan and analyze the experiments. Peak current, pulse on time, diameter of electrode and concentration of micro-nickel powder added into dielectric fluid of EDM were chosen as process parameters to study the PMEDM performance in terms of MRR, TWR and SR. Experiments have been performed on newly designed experimental setup developed in laboratory. Most important parameters affecting selected performance measures have been identified and optimum process conditions have been found. Also recommended optimal conditions have been verified by conducting confirmation experiments.
  R.K. Garg and Kuldeep Ojha
  In this study, parametric optimization for Material Removal Rate (MRR) and Tool Wear Rate (TWR) study on the Powder Mixed Electrical Discharge Machining (PMEDM) of EN-19 (AISI-4140) steel has been carried out. Response Surface Methodology (RSM) has been used to plan and analyze the experiments. Peak current, duty cycle, angle of triangular electrode and concentration of micro-nickel powder added into dielectric fluid of EDM were chosen as process parameters to study the PMEDM performance in terms of MRR and TWR. Experiments have been performed on newly designed experimental setup, developed in laboratory. Most important parameters affecting selected performance measures have been identified and effects of their variations have been observed.
 
 
 
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