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Issue DateTitleAuthor(s)
2014In the era of globalization, the demand of new products with advanced material and process technologies is increasing. Conventional manufacturing techniques are not capable to process the advanced engineering materials with stringent properties. This paper presents a novel approach to finish some advanced engineering materials with stringent properties, which is a challenge for existing conventional machining processes. In this study the positive outcomes of Magnetic Abrasive Finishing (MAF), Chemical-Mechanical Polishing (CMP), and ultrasonic vibrations have been integrated and a novel finishing process Chemo Ultrasonic Assisted Magnetic Abrasive Finishing (CUMAF) has been developed. The machining performance has been enhanced with the process resulting in better surface finish and reduced finishing time. In order to establish the process, an experimental study was done to analyze the influence of five different process variables on surface roughness of workpiece. The response surface methodology and analysis of variance was used to design the experiments and analyze the results respectively. A regression model was also developed and validated, to foresee the process response. Optimization of the model was carried out at the end to obtain the best performance.Kala, Prateek
2017Analysis of Surface Finish Improvement during Ultrasonic Assisted Magnetic Abrasive Finishing on Chemically treated Tungsten SubstrateKala, Prateek
2016-05Experimental investigations into internal magnetic abrasive finishing of pipesKala, Prateek
2015-01Comparison of finishing characteristics of two paramagnetic materials using double disc magnetic abrasive finishingKala, Prateek
2020-10Sustainable techniques in grinding: State of the art reviewKala, Prateek
2015Chemo Assisted Magnetic Abrasive Finishing: Experimental InvestigationsKala, Prateek
2012-10Polishing of Copper Alloy Using Double Disk Ultrasonic Assisted Magnetic Abrasive PolishingKala, Prateek
2020-02Effect of deposition orientations on dimensional and mechanical properties of the thin-walled structure fabricated by tungsten inert gas (TIG) welding-based additive manufacturing processMurali, Palla; Kala, Prateek
2020A Phase-wise Analysis of Machine Learning based Human Activity Recognition using Inertial SensorsKala, Prateek
2019Experimental investigations of TIG welding based additive manufacturing process for improved geometrical and mechanical propertiesKala, Prateek

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