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Paper Title:
Optimization of Microstructure and Mechanical Properties of CuCrZr Alloy Fabricated by Selective Laser Melting: A Study on Thermal Stability, Tensile Strength, and Wear Resistance
This study examines the microstructural and mechanical behavior of CuCrZr alloy electrodes fabricated using Selective Laser Melting (SLM), emphasizing thermal stability, tensile strength, and wear resistance in relation to processing parameters. Thermogravimetric analysis indicates excellent thermal stability up to 600 °C, with minor weight loss and decomposition above 800 °C due to alloying elements. SEM, TEM, and XRD analyses reveal a fine-grained, uniformly distributed microstructure (10–20 μm) with minimal porosity, achieved through rapid SLM solidification. Optimal SLM parameters—thin layers (30 μm) and high laser power (300 W)—enhance ultimate tensile strength (~500 MPa) and yield strength (~350 MPa) by refining grains and improving layer bonding. In contrast, thicker layers (100 μm), low laser power (150 W), and high scanning speeds (1200 mm/s) degrade strength and wear resistance. Pin-on-disk tests show low wear rates (~2.5 × 10⁻⁵ mm³/Nm) and a stable friction coefficient (~0.45), dominated by adhesive and oxidative wear. A strong correlation is established between microstructure, thermal stability, and mechanical performance. The optimized CuCrZr alloy demonstrates superior strength, wear resistance, and thermal stability, making it suitable for aerospace, automotive, and high-temperature applications.
"Optimization of Microstructure and Mechanical Properties of CuCrZr Alloy Fabricated by Selective Laser Melting: A Study on Thermal Stability, Tensile Strength, and Wear Resistance", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 10, page no.b147-b153, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510116.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator