Ultrasonic machining and fretting wear of synthesized duplex brass metal matrix. (2020)

• Record Type: Journal Article
• Authors: Marichamy, S.; Vinoth Babu, K.; Madan, D.; Ganesan, P.
• Is Part Of: Materials today. Volume 21:Part 1(2020)
• Page Start: 734
• Page End: 737
• Publication Date: 2020
• Subjects: Duplex brass metal matrix -- Material removal rate -- Surface roughness -- Scanning electron microscope -- Analysis of variance; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2019.06.749
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: In recent years, the budding researchers have an unquenchable desire to highlight the demand and properties of metal matrix by doing commendable researches. The demands of multipurpose metal matrixes are rapidly increasing due to its excellent properties. The phase structure plays an important role in metal matrix. The material properties and characterization is improving based on the phase structure of the material. The present work describes two phases namely soft and hard phase in brass metal matrix which has been fabricated through stir casting process. The material characterization and properties have been studied. The morphology of the material structure has been analyzed through Scanning Electron Microscope (SEM) and material composition has been proved by Energy Dispersive Analysis of X-rays (EDAX). The duplex phase in this metal matrix provides better material properties like strength, hardness, tensile strength and impact strength. Due to dual phase, it is difficult to machine by conventional machining process. Hence, ultrasonic machining process is used for machining this metal matrix. During machining, the various input parameters such as power rating, slurry concentration and grit size have been considered. The material removal rate (MRR) and surface roughness (SR) have been considered as output parameters. The wear properties have been also evaluated by tribometer. The most influential parameter for ultrasonic machining process and wear test has been confirmed through analysis of variance (ANOVA).