Analyzing the woodturning process using Taguchi methodology for dynamic systems
Author(s) -
B BENOTMANE,
S ZIROUK
Publication year - 2013
Publication title -
scientific research and essays
Language(s) - English
Resource type - Journals
ISSN - 1992-2248
DOI - 10.5897/sre2013.5538
Subject(s) - taguchi methods , signal to noise ratio (imaging) , sensitivity (control systems) , noise (video) , signal (programming language) , computer science , machining , work (physics) , process (computing) , orthogonal array , power (physics) , control theory (sociology) , automotive engineering , engineering , mechanical engineering , electronic engineering , control (management) , artificial intelligence , telecommunications , physics , quantum mechanics , machine learning , image (mathematics) , programming language , operating system
This paper presents a study of the woodturning performance and efficiency using the Taguchi methodology for dynamic systems. According to this methodology, the woodturning process was characterized by two generic functions: for the first one, the specific cutting energy is related linearly to the cutting power, in the second with the amount of cut. These parameters were measured depending on two control factors namely the depth of cut and the rotational speed which were varied following a design of experiment. The variability, involved during woodturning, was considered by a single variable with two levels for which signal to noise ratios and sensitivities were calculated for each combination of the design. To improve productivity of woodturning, the work efficiency analysis was based on a larger signal to noise ratio with a maximized sensitivity; to improve machining quality, the performance analysis was based on a larger signal to noise ratio but a smaller sensitivity. The optimal conditions of woodturning were obtained corresponding to cutting performance and work efficiency with reduced variability. Key words: Woodturning, Taguchi methodology, signal to noise, sensitivity, generic function, work efficiency, performance analysis.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom