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Application of grey relational analysis based on Taguchi method for optimizing machining parameters in hard turning of high chrome cast iron

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Abstract

High chrome white cast iron is particularly preferred in the production of machine parts requiring high wear resistance. Although the amount of chrome in these materials provides high wear and corrosion resistances, it makes their machinability difficult. This study presents an application of the grey relational analysis based on the Taguchi method in order to optimize chrome ratio, cutting speed, feed rate, and cutting depth for the resultant cutting force (FR) and surface roughness (Ra) when hard turning high chrome cast iron with a cubic boron nitride (CBN) insert. The effect levels of machining parameters on FR and Ra were examined by an analysis of variance (ANOVA). A grey relational grade (GRG) was calculated to simultaneously minimize FR and Ra. The ANOVA results based on GRG indicated that the feed rate, followed by the cutting depth, was the main parameter and contributed to responses. Optimal levels of parameters were found when the chrome ratio, cutting speed, feed rate, and cutting depth were 12%, 100 m/min, 0.05 mm/r, and 0.1 mm, respectively, based on the multiresponse optimization results obtained by considering the maximum signal to noise (S/N) ratio of GRG. Confirmation results were verified by calculating the confidence level within the interval width.

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Acknowledgements

The authors would like to acknowledge the financial support provided by Karabük University Scientific Research Project Unit (Grant No. KBÜ-BAP-13/1-DR-007) for the successful implementation of this study.

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Authors and Affiliations

  1. Department of Manufacturing Engineering, Karabük University, 078050, Karabük, Turkey

    Ali Kalyon & Dursun Özyürek

  2. Department of Mechanical Engineering, Karabük University, 078050, Karabük, Turkey

    Mustafa Günay

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  1. Ali Kalyon
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  2. Mustafa Günay
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  3. Dursun Özyürek
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Correspondence to Mustafa Günay.

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Kalyon, A., Günay, M. & Özyürek, D. Application of grey relational analysis based on Taguchi method for optimizing machining parameters in hard turning of high chrome cast iron. Adv. Manuf. 6, 419–429 (2018). https://doi.org/10.1007/s40436-018-0231-z

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