The Taguchi method is a powerful tool to experiment design optimization and is used in this work to optimize the cutting parameters, which reduce the chatter effect on surface quality. The present study includes feed per tooth, cutting speed, radial and axial depth of cut as control factors. An orthogonal array of L16 was used with the ANOVA analyses in order to identify the significant factors associated to the surface roughness and chatter vibration in three different directions. The optimal cutting combination for the surface finishing was determined through the analysis of surface roughness. This are correlated with the vibrations levels recorded during the experimental tests. The study was carry-out by machining a hardened steel block with tungsten carbide coated tools. The results led to the minimum of arithmetic mean surface roughness of 1.05 µm which corresponded to a minimum of the mean vibration level.
The objective of this study was to evaluate the quality of Portuguese obesity websites. A cross-sectional, quantitative and observational study was designed. The evaluation of 127 sites found using the Google in “Advanced Search” option “pages in Portuguese”, country “Portugal” was performed. The quality criteria used in this study resulted from the merger/adaptation from several authors previously published. The information on obesity was evaluated according to the Scottish Intercollegiate Guidelines Network: Management of Obesity, a National Clinical Guideline, 2010. The quality criteria most mentioned in the websites, were the purpose (80.3%) and authority (73.2%). On the other hand, the editorial review (7.9%) and references (15.7%) were mentioned in the narrowest websites. The websites analyzed had a mean quality score of 5.2 points (± 2.1) out of 11. A significant correlation was found between the score of information on obesity and quality score for adults group (0.282) and both ages group (0.437). In Portugal, the websites that provide information on obesity had, generally, a low quality score.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.