65Mn钢激光表面处理过程的组织分布及峰值温度模型

doi:10.13251/j.issn.0254-6051.2024.01.040

摘要/Abstract

摘要： 采用高功率半导体激光器对农机用65Mn钢进行了激光表面处理,研究了激光功率(1.5~2.5 kW)和扫描速度(20~40 mm/s)对其显微组织和硬度分布的影响,利用ABAQUS软件对激光表面处理过程的温度分布进行了模拟,分析了温度场的变化规律,建立了关于峰值温度的数学模型。结果表明,激光表面处理后,65Mn钢硬化层组织为马氏体和残留奥氏体,且随距表面深度的增加,残留奥氏体含量减少。硬化层深度为80~680 μm,硬度为800~970 HV0.5。此外,模拟结果表明,峰值温度随着扫描速度的减小和激光功率的升高而升高,随着距表面深度的增加而降低。所建立的峰值温度预测模型与模拟结果吻合较好,且对硬化层深度的预测结果与实测值较为吻合。

关键词: 65Mn钢, 激光表面处理, 组织, 硬度, 峰值温度

Abstract: Laser surface treatment of 65 Mn steel for agricultural machinery was carried out by using high power semiconductor laser. The effects of laser power (1.5-2.5 kW) and scanning speed (20-40 mm/s) on the microstructure and hardness distributions were studied. The temperature distribution during laser surface treatment was simulated by using ABAQUS software, the variation law of temperature field was analyzed, and the mathematical model of peak temperature was established. The results show that after laser surface treatment, the hardened layer of the 65Mn steel is composed of martensite and retained austenite, and the content of retained austenite decreases with the increase of depth from the surface. The depth of the hardened layer is 80-680 μm, and the hardness is 800-970 HV0.5. In addition, the simulation results show that the peak temperature increases with the decrease of scanning speed and the increase of laser power, and decreases with the increase of depth from the surface. The established peak temperature model is in good agreement with the simulation results, and the culculation results of the hardened layer depth are in good agreement with the measured values.

Key words: 65Mn steel, laser surface treatment, microstructure, hardness, peak temperature

中图分类号:

TG178

郭帅涵, 李振兴, 岑一鸣, 朱彦铭, 陈冯琛, 杨明涛, 孔佳. 65Mn钢激光表面处理过程的组织分布及峰值温度模型[J]. 金属热处理, 2024, 49(1): 249-256.

Guo Shuaihan, Li Zhenxing, Cen Yiming, Zhu Yanming, Chen Fengchen, Yang Mingtao, Kong Jia. Microstructure distribution and peak temperature model of 65Mn steel during laser surface treatment[J]. Heat Treatment of Metals, 2024, 49(1): 249-256.

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