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S&M2140 Research Paper of Special Issue https://doi.org/10.18494/SAM.2020.2596 Published: March 10, 2020 Application of Exponential Smoothing to Machining Precision of Nickel-based Superalloy Waspaloy [PDF] Shao-Hsien Chen and Yu-Lun Ho (Received February 20, 2019; Accepted February 26, 2020) Keywords: exponential smoothing, Waspaloy, nickel-based, superalloy, tool wear
Nickel-based materials are widely used in engines, housings, and compressor rotors. They are also used in other industries, such as energy, petrochemicals, and tool and die making. Nickel-based alloys have a high tolerance to high temperatures and superior anti-corrosion characteristics while maintaining good mechanical properties. Owing to the development of precision casting technology in the late 1950s, a series of highly intensive cast nickel-based superalloys with these properties have been developed. With the rapid changes in the military and civil space industries in recent years, the use of nickel-based superalloys is increasing. In this study, we mainly use Waspaloy as a nickel-based material to study cutting; we use regression analysis to find the significant factors affecting cutting force and surface accuracy and then perform an optimization experiment. A TiAlN-coated tool is mainly used in the study of cutting. We conclude that the significant factors affecting the cutting force among the experimental conditions are the cutting depth and feed rate per tooth and that the significant factors affecting the surface accuracy are the feed rate per tooth and cutting speed. When the cutting depth dp increases from 0.1 to 0.3 mm, the tool wear increases by 94.1%, and when the cutting speed Vc increases from 30 to 40 m/min, the tool wear decreases by 2.17%.
Corresponding author: Shao-Hsien ChenThis work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Shao-Hsien Chen and Yu-Lun Ho, Application of Exponential Smoothing to Machining Precision of Nickel-based Superalloy Waspaloy, Sens. Mater., Vol. 32, No. 3, 2020, p. 819-831. |