Dielectric and Mechanical Properties Improvement of High Voltage XLPE Using Micro and Nano Aluminum Oxide Filler

• Published in: 2023 24th International Middle East Power System Conference (MEPCON) pp. 1 - 8
• Main Authors: Qenawy, Shaymaa A., Nasrat, Loai S., Samir, Nesreen. M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.12.2023
• Subjects: Costs; Dielectric Strength; Loading; Machine Learning Algorithm; Machine learning algorithms; Micro and Nano Fillers; Nanocomposites; Power cable insulation; Power cables; Scanning electron microscopy; Tensile Strength; XLPE
• DOI: 10.1109/MEPCON58725.2023.10462470

Recently, researchers have become increasingly interested in blends and polymer composites for dielectric applications usage. The industrial sector approved the tailoring of polymer features for objectives. This work describes the adjustments of the electromechanical properties bundle for cross linked polyethylene (XLPE) compounded to nano and micro scale Aluminum oxide (XLPE/Al 2 O 3 ) to generate electrical cables insulating material with superior performance. By using a process called melt intercalation, composites with different filler loading weight percentages were created. The electrical lab test included tests for dielectric strength, permittivity, and loss angle, while the mechanical test pack included elongation and tensile strength. Another test on the nano composites was done using a scanning electron microscope (SEM). For the dielectric strength estimation of the composites with typical contents but with varying filler loading or affected by other medium salinity degrees, a machine learning algorithm was developed and trained using acquired practical findings. The research results demonstrated that XLPE compounded to surface characterized nano Al 2 O 3 is superior to the pristine host and micro composite in most electrical and mechanical properties, with the best results obtained with modest percentages of filler loading of almost 1.5 wt%.