Processing and wear response study of glass‐polyester composites with waste marble dust as particulate filler

2020 ◽  
Vol 41 (6) ◽  
pp. 2263-2273 ◽  
Author(s):  
Sandip K. Nayak ◽  
Alok Satapathy ◽  
Sisir Mantry

2020 ◽  
pp. 096739112092606
Author(s):  
Sandip Kumar Nayak ◽  
Alok Satapathy

This investigation explores the possibility of developing a new class of particulate-filled polyester composites using waste marble dust as filler. The dusts collected from local construction sites are sieved to three different sizes (58, 110, and 155 μm). Polyester composites are fabricated with filler in different weight proportions (0, 8, 16, 24, 32, and 40 wt%). A Fourier transform infrared spectroscopy study is done to get an insight into the chemistry of composite formation. Scanning electron microscopy reveals the surface features of the filler as well as the composites. X-Ray diffraction tests are carried out on the raw filler and on the composites to ascertain the presence of hard phases. The experimental findings suggest that, while the tensile and flexural strengths of the composites marginally drop with the incorporation of marble dust, there is reasonable improvement in compressive strength, impact strength, and Shore hardness. The density and voids are also affected by the size and content of filler particles in the composite. Armed with lightweight, improved hardness, and impact strength, these polyester–marble composites are expected to find potential use in wear-related engineering applications.



2010 ◽  
Vol 14 (S1) ◽  
pp. 24-29 ◽  
Author(s):  
Alok Satapathy ◽  
Dora P. Tarkes ◽  
Nadiya B. Nayak


Author(s):  
Amar Patnaik ◽  
Alok Satapathy ◽  
S. S. Mahapatra

This paper describes the development of multiphase hybrid composites consisting of polyester reinforced with E-glass fiber and ceramic particulates. It further investigates the erosion wear response of these composites and presents a comparison of the influence of three different particulate fillers—fly ash, alumina (Al2O3), and silicon carbide (SiC)—on the wear characteristics of glass-polyester composites. For this purpose, the erosion test schedule in an air jet type test rig is made, following design of experiments approach using Taguchi’s orthogonal arrays. The Taguchi approach enables us to determine optimal parameter settings that lead to minimization of the erosion rate. The results indicate that erodent size, filler content, impingement angle, and impact velocity influence the wear rate significantly. The experimental results are in good agreement with the values from the theoretical model. An artificial neural network approach is also applied to predict the wear rate of the composites and compared with the theoretical results. This study reveals that addition of hard particulate fillers such as fly ash, Al2O3, and SiC improves the erosion resistance of glass-polyester composites significantly. An industrial waste such as fly ash exhibits better filler characteristics compared with those of alumina and SiC. Finally, a popular evolutionary approach known as genetic algorithm is used to generalize the method of finding out optimal factor settings for minimum wear rate.



2002 ◽  
Vol 3 (3) ◽  
pp. 317-330
Author(s):  
Satish Chandra ◽  
Praveen Kumar ◽  
Berhanu Abesha Feyissa






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