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Optimization of parameters of plastic grinding machine using generalized reduced gradient non-linear programming

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Abstract

The focus of current research on plastic grinding machines has been the improvement of efficiency. Parameters such as the number of rotor blades, number of fixed blades, blade geometry, clearance between fixed and rotor blades, machine power input, and throughput have been studied in previous research. The problem is that little research effort has been focused on the optimization of many of such parameters combined. This research aims to improve the throughput of plastic grinding machine by mathematical optimization of the five parameters to achieve higher throughput. In this paper, we optimized the parameters using generalized reduced gradient nonlinear programming. We also carried out a correlation of the parameters using Pearson correlation coefficients. There was a strong correlation between maximum machine throughput and all the studied parameters. We found that throughput was optimal with nine rotor blades, two fixed blades, a blade angle of 500, a clearance of 1 mm, and a power input of at least 5 Hp.

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Acknowledgements

The authors would like to acknowledge the Mooge Tech Machines company and Europack for availing their machine data for use in this research. Many thanks to the management of Eastlands College of Technology for giving the corresponding author an opportunity and support to pursue his studies and conduct research. Much thanks to the Multimedia University of Kenya for facilitating this research and through many ways that we cannot list in this paper.

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Correspondence to Meshack Muambi Kioko.

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Kioko, M.M., Odhong, E.V. & Ondieki, C.M. Optimization of parameters of plastic grinding machine using generalized reduced gradient non-linear programming. Int J Adv Manuf Technol 129, 421–427 (2023). https://doi.org/10.1007/s00170-023-12268-2

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