The feasibility study of used high density polyethylene-mango peel powder composite material

2025-06-05T09:45:22+07:00

This study focuses on the investigation of the selected mechanical properties including izod impact strength, tensile strength, and hardness of composite materials made from the used high-density polyethylene (UHDPE) reinforced with mango peel (MP) powder. The UHDPE/MP composites were prepared using a two-roll mill process, followed by compression molding to form the rectangular sheet specimens. Experimental results revealed that the hardness of HDPE was increased with higher mango peel powder content. The UHDPE/MP composite with 50 pph of MP powder exhibited the highest hardness value of 68.29, likely due to the dispersed mango peel particles enhancing the rigidity of the HDPE matrix. Conversely, both Izod impact strength and tensile strength decreased as the mango peel powder content increased. The UHDPE/MP composite containing 10 pph of mango peel powder showed an Izod impact strength of 0.08 J/mm and a tensile strength of 25.47 MPa. This reduction in toughness and strength at higher filler loadings (30, 40, and 50 pph) may be attributed to poor interfacial adhesion between HDPE and the MP powder, and excessive filler agglomeration, which could compromise the structural integrity and increase brittleness of the UHDPE/MP composites. Therefore, the UHDPE/MP composite containing 10 pph of MP powder is considered most suitable for applications requiring good tensile properties, whereas the composite with 50 pph is more appropriate for products that demand enhanced hardness.

Intelligent phase balancing system for campus energy management: A comparative study of AI, automatic feeder shifting, and battery energy conversion

2025-07-22T09:55:54+07:00

In the context of thailand's continuously increasing electricity consumption, effective energy management in educational buildings has become a crucial strategy to reduce operational costs and concretely promote environmental sustainability. This study aims to analyze real-time electrical load data from the integrated industrial technician building at Rajamangala university of technology srivijaya, in order to develop a demand side management (DSM) strategy that aligns with actual usage conditions. Three types of automatic load control systems were designed and tested in this study: feeder-shifting, which redistributes load to balance the system, AI-agent, an intelligent system capable of learning and adapting to dynamic load conditions, and battery inverter, which alleviates peak demand during critical periods. Experimental results revealed that the AI-agent system demonstrated the highest effectiveness in reducing the peak load, with an average reduction of 21.7%. The battery inverter and feeder-shifting systems followed with reductions of 15.3% and 12.8%, respectively. Notably, the AI-agent system showed superior learning capability and responsiveness to fluctuating load conditions compared to other techniques. The findings indicate that integrating intelligent load control systems with real-time energy analytics holds high potential in driving educational buildings toward becoming net-zero energy buildings (NZEB). Furthermore, the approach can be effectively applied to other building types with similar load characteristics, such as office buildings and public facilities, to enhance national energy efficiency.

Frontiers in Engineering Innovation Research

The feasibility study of used high density polyethylene-mango peel powder composite material

Intelligent phase balancing system for campus energy management: A comparative study of AI, automatic feeder shifting, and battery energy conversion