Experimental investigation on radial ball bearing parameters using taguchi method G. Reddy, V. D. Reddy, B. S. Kumar, J. Shyamsunder Journal of Applied and Computational Mechanics, 2018 In this work, characteristics of various ball bearing parameters are studied under different loads and rotational speeds. By using Dimensional Analysis (DA), dimensionless parameters are computed which provides solution for a group of parameters. This analysis can be accomplished by using the Buckingham π-theorem. DA leads to reduction of the number of independent parameters involved in a problem. These independent parameters get expressed as dimensionless groups. These dimensionless groups are always ratios of important physical quantities involved in the problem of interest. In modeling and experimentation, its main function is to reduce the amount of independent variables, simplify the solution, and generalize the results. It becomes an effective method, especially if a complete mathematical model of the investigated process is not known. Moreover, in the present work the Buckingham π-theorem is applied to find the influencing parameter π5 by using the Taguchi method.
Optimisation of turning AISI 1040 steel with extreme pressure additive in vegetable oil based cutting fluids B. Satheesh Kumar, , G. Padmanabhan, P. Vamsi Krishna, , and International Journal of Automotive and Mechanical Engineering, 2017 This paper aims to obtain the optimal combination of machining parameters for multiple performance characteristics in the turning operation by implementing desirability function analysis. Experiments were conducted using machining parameters like different proportions (5%, 10%, and 15%) of extreme pressure additive in three different vegetable oil based cutting fluids (sesame, canola, and coconut oils), cutting speed and feed rate for evaluating the cutting force, cutting tool temperature, tool flank wear, and surface roughness. An orthogonal array (L27) was generated using the Taguchi design to carry out the experiments on AISI 1040 steel. Composite desirability was analysed for identifying the optimal levels of machining parameters. Experimental results revealed that cutting fluid had the most significant effect on cutting force, cutting tool temperature, tool flank wear, and surface roughness. Confirmation test was carried out to validate the results. Experimental results have shown that machining performance can be improved through desirability function analysis.
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