Electro-Mechanical Behavior of Copper-Based Electrical Motor Brushes
Journal: Tribology in Industry (Vol.46, No. 3)Publication Date: 2024-09-15
Authors : Hüseyin Ipek Hamdullah Çuvalci Tekin Özdemir;
Page : 432-446
Keywords : Electric motor brushes; Copper-based brushes; SiC; Graphene; Reinforced composite;
Abstract
This study was mainly performed in order to examine the properties of electric motor brushes (EMB). EMBs are electrically conductive and work under wear conditions due to direct contact with the moving part (rotor) of electric motors. In accordance with the scope of the study, EMB characteristics were investigated in two different groups and reproduced with a new technique at the end of this phase. New EMBs were produced via varying proportions of copper matrix, graphene, and silicon carbide reinforcements. The composite-alloy powder elements were carefully squeezed by a cold and single-axis hydraulic press under a pressure of 500 MPa (±5 MPa) following 8 hours of mechanical alloying (MA). The molded composite product (sample) was sintered at 900° C for 1 hour in a reducing gas atmosphere. 100 kPa spring pressure was tested on each sample thrice with 8, 16, 24, and 32 m/s rotational speeds and densities of 4, 8, 12, and 16 A/cm2. Following this process, the electrical conductivity, porosity, hardness, wear loss, surface roughness, and temperature changes were investigated for each sample. It was determined that the electrical conductivity decreased with increasing reinforcement ratio and, in terms of electrical conductivity, affected the brushes' properties negatively.
Other Latest Articles
- AI-Driven Predictive Models for Early Detection of Diabetes: A Review Study
- ANITA DESAI'S NOVEL “CRY, THE PEACOCK” AND FEMININE SENSIBILITY
- EMOTIONAL MATURITY AMONG SECONDARY SCHOOL STUDENTS IN RELATION TO THEIR GENDER AND TYPE OF SCHOOL
- AADHUNIK BHARAT ME PANCHAYATI RAJ ME NIRVACHIT MAHILA PRATINIDHI : (CHUNOUTIYA EANV SAMASYAE)
- Determining the Relative Importance of Factors Affecting the Selection of High School Students for University Colleges Using Machine Learning Algorithms
Last modified: 2024-09-30 17:59:46