Residual stresses prediction has been challenge over the years. Many models have been developed in order to predict the residual stresses. Research has been taking place in this field since many decades. Numerical, experimental as well as analytical models have been developed to determine the nature and magnitude of the residual stresses. In the present work the authors have made an attempt to build a mathematical model using statistical techniques. The difference between the predicted and the experimental values are in good agreement and the error percentage is less than 15%. The statistical parameters required to ascertain that the developed model is close to practicality are in good agreement to the standard values. The novelty of the work is that proper procedure has been followed to ensure that the residual stresses induced by the primary manufacturing processes to prepare the specimen in made minimal so that the results are not biased. The future work of the work is to optimize the machining parameters using optimization techniques for which the mathematical model developed in this work will serve as the objective function. © TJPRC Pvt. Ltd.
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K. P. Marimuthu, Kumar, C. S. C., and Prasada, H. P. T., “Mathematical modelling to predict the residual stresses induced in milling process”, International Journal of Mechanical and Production Engineering Research and Development, vol. 8, pp. 423-428, 2018.