Influence of different reinforcements on toughening and strengthening of sintered stoneware from modified marble powder

Lu, Jinshan; Li, Yingde; Cong, Xinquan; Hao, Yong; Wang, Chunlei

doi:10.1016/j.conbuildmat.2017.10.099

Cited by 6 publications

(1 citation statement)

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“…Segadaes et al described that the properties like thermal behavior, firing shrinkage, water absorption, and mechanical strength of red‐clay products are improved significantly by the addition of marble and granite waste. Marble wastes are also found to be used as a matrix material in the preparation of different stoneware as reported by Lu et al Marras et al after their investigation proposed the reuse of waste marble slurry as a raw material in the paper, rubber, and tyre industries as it consists of a large amount of CaCO 3 . Although, a number of investigations have been conducted on the recycling and management of hazardous and nonbiodegradable industrial wastes like marble dusts in the above‐described fields; still, very few number of investigators have focused on its utilization in the preparation of structural composites .…”

Section: Introductionmentioning

confidence: 94%

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

2020

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Proper management of any waste lies in using its potential in the development of some value added products. In line with this, the present research has explored the use of marble dust, an industrial/construction waste as a secondary filler in the glass‐polyester material system to prepare wear‐resistant hybrid composites. Such hybrid composites are fabricated through a simple hand layup route. The composites are characterized in regard to their density and porosity. Mechanical properties, such as tensile and flexural strength, are evaluated under controlled laboratory conditions. Dry sliding wear trials are conducted under different test conditions using a pin‐on‐disc test rig as per ASTM G 99‐05 following Taguchi's L25 orthogonal array. Significant control factors influencing the specific wear rates (SWRs) are identified and an optimal factor setting based on minimum wear is found out. Scanning electron microscopy of the worn composite surfaces is done to ascertain the possible wear mechanisms. Analysis revealed that the incorporation of filler helps in reducing the wear rate of the composites. Thus, the wear resistance of glass‐polyester composites is improved significantly by the incorporation of marble dust. Furthermore, a prediction model based on artificial neural networks is developed to estimate the SWR within and beyond the experimental domain.

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Section: Introductionmentioning

confidence: 94%