03241nam a22003377a 4500 MY-KuUP 20260101130319.0 t||||fr|||| 000 0 ta 260101t20252025my a|||fr|||| 000 0 eng d THE0010206 (Local) Hardback UMPSA eng UMPSA rda FTKPM .A97 2025 r Thesis Muhammad Nor Azril Bin Zulkafli, author. Investigation of materials for components of brushed DC machine using vikor method for a thermal performance / Muhammad Nor Azril Bin Zulkafli Kuantan, Pahang : UMPSA, 2025 © 2025 xii, 125 pages : illustrations (some color) ; 30 cm. + 1 CD-COM rdacontent text rdamedia unmediated rdacarrier volume rda text file PDF Faculty of Manufacturing and Mechatronic Engineering Technology Thesis (Master of Science) -- Universiti Malaysia Pahang – 2025 Includes bibliographical references Small brushed DC motors are widely used in low-power applications due to their simplicity and affordability. However, thermal inefficiencies such as insulation failure and magnet demagnetization remain a key challenge, often leading to reduced lifespan and increased electronic waste. Addressing these issues is crucial for improving motor reliability and sustainability. While design and topology modifications have been explored, they are often costly and complex. As an alternative, this study proposes a cost-effective framework focused on optimizing material selection to enhance thermal performance. The VIKOR (VIšekriterijumsko KOmpromisno Rangiranje) multi-criteria decision-making method was applied to evaluate and rank different material combinations based on thermal, mechanical, magnetic, and cost criteria. VIKOR’s compromise-ranking approach enables balanced decision-making under conflicting objectives. To assess thermal performance, a Lumped Parameter Thermal Network (LPTN) model was developed and experimentally validated. LPTN models heat transfer in the motor using simplified thermal resistances and capacitances, providing efficient and accurate simulations. The model, tailored to the MY1016 motor, achieved a maximum temperature prediction error of just 3.5%. Results showed a significant reduction in winding temperature by 20°C during a 5A copper loss test using the optimized material combination. The selected materials were: Ferrite magnets, Al 356-T6 casing, Chrome steel bearings, metal graphite brushes, and Nylon insulation. This configuration improved thermal performance without compromising magnetic properties or increasing costs. In conclusion, this study demonstrates that systematic material selection using the VIKOR method, combined with LPTN modeling, offers a practical and scalable approach to improving the thermal efficiency of small brushed DC motors, without the need for major design changes. Faculty of Manufacturing and Mechatronic Engineering Technology Dissertations Universities and colleges Dissertations Theses Dissertations lcc THESIS 0 0 lcc 0 1 20000 20000 2026-01-01 0 FTKPM .A97 2025 r Thesis T000003867 2026-01-01 13:03:47 2026-01-01 THESIS 0 0 lcc 0 -2 20000 20000 2026-01-01 0 CD13804 T000003868 2026-01-01 13:05:01 2026-01-01 THESIS 103824 103830