Open AccessStatistical investigation for cutting force and surface roughness of S45C steel in turning processes by I-kazTM method
Author(s) -
Razali Samin,
Mohd Zaki Nuawi,
Sallehuddin Mohamed Haris,
Jaharah A. Ghani
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1489/1/012028
Subject(s) - kurtosis , machining , surface roughness , surface finish , mechanical engineering , dynamometer , tool wear , statistical analysis , materials science , signal (programming language) , hard metal , computer science , engineering , composite material , mathematics , statistics , programming language
This paper presents a statistical analysis to investigatethe correlation between cutting forces and surface roughness values in turning process. Although the correlation of machining processes has been widely studied in metal cutting, it still presents a challenge as surface roughness has to be considered for product quality and it is hard to ensure that this requirement will be achieved. The paper also presents a statistical analysis of signal processing from the force signal in time domain. The cutting force was measured during machining using Kistler 9129AA dynamometer to monitor the force signals and the data was analysed using statistical methods such as skewness, kurtosis and I-kaz TM method. The statistical methods were used to data analysis to assess the effect of force signals during the machining process. The results show that the relationship between I-kaz coefficients ( Ƶ ∞ ) from the I-kaz TM method and surface roughness values ( Ra and Rz ) can be considered very highly correlated.