Optimization of Wear Resistance and Friction in Coating Powders on Grey Cast Iron using the Detonation Gun Thermal Spray: A Taguchi-MCDA-ANOVA Approach
Main Article Content
Abstract
The wear and friction behaviour of coatings play a pivotal role in enhancing the performance and durability of materials in demanding applications. This study delves into the wear and friction characteristics of coating powders on grey cast iron surfaces using the detonation gun thermal spray coating method. Three distinct coating powders, titanium carbide (TiC), titanium chromium (Ti/Cr) and titanium cobalt (Ti/Co), are examined, with a focus on optimizing wear resistance and minimizing friction. The experimental investigation encompasses a range of parameters including rotational speed (rpm), applied load (N) and coating duration (min), systematically varied through a Taguchi experimental design. Wear rate (measured in mm³/m) and coefficient of friction (COF) are the key responses studied to evaluate the coating’s performance. Furthermore, the study employs a Multi-Criteria Decision Analysis (MCDA) approach, employing the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, for optimization. This innovative methodology aids in identifying optimal parameter combinations that simultaneously enhance wear resistance and reduce friction. To comprehensively understand the contribution of individual factors, an analysis of variance (ANOVA) is conducted. This statistical technique elucidates the percentage contribution of each parameter and potential interactions, unravelling the intricate relationships governing wear and friction behaviour. The detonation gun thermal spray coating method, recognized as the pioneering high-velocity thermal spray technique, forms the cornerstone of this research. The combined integration of Taguchi experimental design, MCDA-TOPSIS optimization and ANOVA analysis establishes a robust framework for comprehensively exploring, optimizing wear and friction behaviour. The outcomes of this study provide valuable insights for engineers and researchers seeking to enhance material performance in challenging environments. By leveraging advanced methodologies, this research paves the way for tailored surface enhancements, contributing to improved wear resistance and friction behaviour in industrial applications.
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).