Design of Experiments Approach to Optimize Cutting Parameters for Tangential Cylindrical Grinding of AISI D3 Tool Steel
Main Article Content
Abstract
Utilizing the Taguchi approach, the research sought to determine the best cutting parameters for tangential cylindrical grinding of AISI D3 tool steel to minimize surface roughness. Throughout the experimental examination, surface roughness was observed at different wheel speeds, workpiece speeds, feed rates and depths. Surface roughness was studied using the Taguchi design of experiments and Analysis of Variance (ANOVA) and the signal-to-noise ratio was used to identify key machining factors. The results showed that during cutting, surface roughness was significantly influenced by wheel speed and feed rate. This implies that surface quality in grinding processes can be efficiently controlled by varying these factors. Because the established grinding technique makes it possible to determine the ideal cutting settings for decreasing surface roughness, it has potential applications in the machining industries. This could result in tool steel machining procedures that are more productive and of higher quality.
Article Details
Issue
Section
Articles

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms: a. Authors retain copyright and grant the journal right of first publication, with the work two years after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).