Theoretical and graphical analysis of abrasivewater jetturning
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 5
Abstract
Recent developments in the materials technology, as well as the requirements for more complex and economic machining processes, demand new approaches to the machining of materials. The machining of lightweight materials, specialty metals, ceramics, and advanced metal matrix composites requires careful machining strategy to maximize performance, minimize tool wear and avoid material distortion or destruction due to thermally induced oxidation, shear stresses, thermal stresses, vibration. It will be of great importance to develop a machine tool that is less sensitive to material properties, has virtually no thermal effects, imposes minimal stresses, is free of vibrations and provides acceptable surface finish. Abrasive water jet (AWJ) technology offers the potential for the development of such a tool.An explicit finite element analysis (FEA) of a single abrasive particle impact on stainless steel in abrasive water jet (AWJ) machining. In the experimental verification, the shapes of craters on the workpiece material were observed and compared with FEA simulation results by means of crater sphericity. The influences of the impact angle and particle velocity were observed.Especially the impact angle emerged as a very suitable process parameter for experimental verification of FEA simulation, where crater sphericity was observed. Results of the FEA simulation are in good agreement with those obtained from the experimental verification. The presented workgives the basis for further FEA investigation of AWJ machining, where influences such as particles rotation and other process parameters will be observed.The objective of the present work is to develop a mathematical model, considering the variation in jet impact angle and the kerf profile, for predicting the final diameter achieved in AWJ turning process for ductile and brittle materials. Various distributions that can represent the kerf shape and the best distribution among them is identified by comparing the predicted kerf shape with the observed kerf shape. It was observed that a sine function could represent the observed kerf geometry better than exponential and cosine functions. The proposed model is validated by comparing the predicted final diameters with experimental results obtained literature.
Authors and Affiliations
G. Ramu, B. Bapiraju, M. Kumari
Keywords
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