English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The cutting forces generated in turning are mainly influenced by speed, feed, depth of cut and tool geometry. The study of cutting forces for changes in tool geometry and feed rate using Taguchi Method and Fuzzy Logic is presented in this paper. Design of Experiments (DOE) helped in reducing the number of experiments to be performed. For an L16 orthogonal array DOE at different feed rates the turning experiments are performed on Aluminum rod with the HSS cutting tools by varying the tools of different rake angles at different approach angles and the values of responses (cutting forces) are tabulated. The analysis of the influence of feed rate and tool geometry on cutting forces is carried out by Taguchi and ANOVA methods and the optimal values of these factors are identified. A Taguchi based Fuzzy Logic system is developed using Taguchi experimental results. The cutting forces are estimated with the help of Fuzzy Logic system for the optimal values of feed rate and tool geometry. The prediction error is calculated for fuzzy results and is about 2.78 and the percentage of accuracy is 97.22%.

Experimental Study and Identification of Optimal Cutting Parameters on Cutting Forces in Turning Using Taguchi Based Fuzzy Logic