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2022 | OriginalPaper | Buchkapitel

Cycle Time Reduction in CNC Turning Process Using Six Sigma Methodology – A Manufacturing Case Study

verfasst von : Kakarla Manoj, Biswajit Kar, Rajeev Agrawal, Vijay Kumar Manupati, José Machado

Erschienen in: Innovations in Mechanical Engineering

Verlag: Springer International Publishing

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Abstract

Six-Sigma, a data-driven methodology, employed to improve the process in terms of Defect reduction or process optimization. In this paper, an experimental study is presented optimizing the cutting parameters while machining of shoulder bolt in a Computer Numerical Control (CNC) turning machine to reduce the cycle time. This study identifies, the effects of cutting speed, feed rate and dwell time on Thread rolling diameter (TRD) in CNC turning machine that was experimentally investigated. The experimentation plan is designed using six sigma D-M-A-I-C methodology, and the subsequent statistical analysis has been done using Minitab-16 software. Shainin based variable search tool has been used to investigate the design parameters that contribute to the reduction of the cycle time and factorial plots are employed to determine the contribution of important parameters. Later, the optimal values for the best cutting conditions are proposed for industrial production using the formulated mathematical model. Finally, this paper documents the analysis and tasks performed that reduced cycle time which resulted in increased productivity and also in annual savings.

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Titel: Cycle Time Reduction in CNC Turning Process Using Six Sigma Methodology – A Manufacturing Case Study
verfasst von: Kakarla Manoj
Biswajit Kar
Rajeev Agrawal
Vijay Kumar Manupati
José Machado
Verlag: Springer International Publishing
Buch: Innovations in Mechanical Engineering
Print ISBN: 978-3-030-79164-3

Electronic ISBN: 978-3-030-79165-0

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-79165-0_13

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