Another Approach to Characterize Particle Distribution during Surface Composite Fabrication Using Friction Stir Processing

Surface composite fabrication through Friction Stir Processing (FSP) is evolving as a useful clean process to enhance surface properties of substrate. Better particle distribution is key to the success of surface composite fabrication which is achieved through multiple passes. Multiple passes signif...

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Bibliographic Details
Published inMetals (Basel ) Vol. 8; no. 8; p. 568
Main Authors Gangil, Namrata, Maheshwari, Sachin, Nasr, Emad, El-Tamimi, Abdulaziz, El-Meligy, Mohammed, Siddiquee, Arshad
Format Journal Article
LanguageEnglish
Published MDPI AG 01.08.2018
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Summary:Surface composite fabrication through Friction Stir Processing (FSP) is evolving as a useful clean process to enhance surface properties of substrate. Better particle distribution is key to the success of surface composite fabrication which is achieved through multiple passes. Multiple passes significantly increase net energy input and undermine the essence of this clean process. This study proposes a novel approach and indices to relate the particle distribution with the FSP parameters. It also proposes methodology for predicting responses and relate the response with the input parameter. Unit stirring as derived parameter consisting of tool rotation speed in revolutions per minute (rpm), traverse speed and shoulder diameter was proposed. The particle distribution was identified to be achieved in three stages and all three stages bear close relationship with unit stirring. Three discrete stages of particle distribution were identified: degree of spreading, mixing and dispersion. Surface composite on an aerospace grade aluminum alloy AA7050 was fabricated successfully using TiB2 as reinforcement particles. FSP was performed with varied shoulder diameter, rotational speed and traversing speed and constant tool tilt and plunge depth using single pass processing technique to understand the stages of distribution. Significant relationships between processing parameters and stages of particle distribution were identified and discussed.
ISSN:2075-4701
2075-4701
DOI:10.3390/met8080568