| Title: |
Investigation on Mechanical Properties of Reinforced Epoxy Resin with Sawdust, Seashell and Rice Husk Composites. |
| Authors: |
Ramarao, M.; Sakthikumar, P.; Raju, K.; Sathiyamurthy, S.; Senthilkumar, M. |
| Source: |
International Journal of Vehicle Structures & Systems (IJVSS); 2024, Vol. 16 Issue 1, p118-120, 3p |
| Subject Terms: |
Rice hulls; Epoxy resins; Wood waste; Seashells; Waste products; Solid waste; Thermal insulation |
| Abstract: |
Sawdust, Rice husk and seashells are bio waste products. The use of bio waste materials to create a useful product is called green manufacturing. Sawdust-reinforced epoxy resin composites give good mechanical and physical properties. The reinforced epoxy resin has excellent mechanical strength, electrical and chemical resistance, good thermal insulation and is used as filler material. Rice husk is one of the waste products while extracting the rice from the paddy. This rice husk is good in adhesive nature, used as a green manure and filler material. Seashell is one of the solid waste materials. These seashells are rich in calcium carbonate, so their strength is high compared with natural fiber. The powdered seashell is added with the sawdust and rice husk epoxy resin composite with three different ratios. The percentage of epoxy resin is maintained at a constant ratio (65%). The combinations are adding sawdust (35%) with epoxy resin (65%), sawdust (20%) and rice husk (15%) with epoxy resin (65%). The final combination of adding all three sawdust (20%), rice husk (10%) and seashell (5%) with epoxy resin (65%). The above composites are fabricated by compression molding techniques. The mechanical properties like tensile, impact, hardness and compressive tests have been investigated. [ABSTRACT FROM AUTHOR] |
| : |
Copyright of International Journal of Vehicle Structures & Systems (IJVSS) is the property of Carbon Magics Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |