42CrMo钢超声轧制:基于仿真的高效可持续制造工艺优化

IF 9.7 1区 化学 Q1 ACOUSTICS
Haojie Wang , Xiaoqiang Wang , Eric Velázquez-Corral , Ramón Jerez-Mesa
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引用次数: 0

摘要

超声轧制由于其在低能耗条件下提高表面性能的能力而成为一种非常有前途的表面强化技术。本研究建立热-力耦合仿真模型,对42CrMo钢的超声轧制工艺进行研究,旨在通过工艺优化实现高表面性能和低碳排放的平衡。设计了25个正交实验,分析了工件转速、静压、进给速率和超声振幅等工艺参数对表面性能和热行为的影响。基于仿真数据,采用响应面法(RSM)建立了表面性能预测模型。为了解决各种表面性能指标之间的目标冲突,显著提高表面质量和加工效率,提出了一种新的混合优化算法——粒子群模拟退火优化算法(PSSAO)。通过多目标优化,确定了单道次轧制过程中有效强化的最优参数域。实验验证了基于PSSAO的最优加工窗口,验证了仿真模型的可靠性和可持续制造策略的可行性。研究结果表明,超声波轧制42CrMo钢,通过热力学模拟和先进的参数设计优化,可以有效地提高表面性能,降低能耗,缩短加工时间,降低碳排放,为可持续制造提供了一条可行的途径。PSSAO算法确定的最佳加工参数范围为进给速度为0.05 ~ 0.07 mm/r,静压为520 ~ 700 N,超声振幅为7 ~ 9 μm,主轴转速为50 ~ 180 r/min。在此条件下,合金的最大残余压应力达到−1283 ~−1296 MPa,平均表面粗糙度Ra降至0.120 ~ 0.156 μm,表面硬度提高至60.9 ~ 61.6 HRC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasonic rolling of 42CrMo Steel: Simulation-Based process optimization for high-efficiency and sustainable manufacturing
Ultrasonic rolling has emerged as a highly promising surface strengthening technique due to its ability to enhance surface properties under low energy consumption conditions. In this study, a thermo-mechanically coupled simulation model was developed to investigate the ultrasonic rolling process of 42CrMo steel, aiming to achieve a balance between high surface performance and low carbon emissions through process optimization. An orthogonal array of 25 simulation experiments were designed and conducted to analyze the effects of process parameters—including workpiece rotational speed, static pressure, feed rate, and ultrasonic amplitude—on surface properties and thermal behavior. Based on the simulation data, a response surface methodology (RSM) was employed to establish predictive models for surface performance. To address the conflicting objectives among various surface performance indicators and significantly improve both surface quality and processing efficiency, a novel hybrid optimization algorithm, the Particle Swarm Simulated Annealing Optimization (PSSAO), was proposed. Multi-objective optimization was performed to determine an optimal parameter domain that enables effective strengthening in a single-pass rolling process. The optimal processing window obtained from PSSAO was experimentally validated, and the results confirmed the reliability of the simulation model and the feasibility of this sustainable manufacturing strategy. The findings demonstrate that ultrasonic rolling of 42CrMo steel, when optimized through thermo-mechanical simulations and advanced parameter design, can effectively enhance surface properties, reduce energy consumption, shorten processing time, and lower carbon emissions—providing a viable pathway toward sustainable manufacturing. The PSSAO algorithm identified the optimal processing parameter ranges as a feed rate of 0.05–0.07 mm/r, static pressure of 520–700 N, ultrasonic amplitude of 7–9 μm, and spindle speed of 50–180 r/min. Under these conditions, the maximum residual compressive stress reaches −1283 to −1296 MPa, average surface roughness (Ra) is reduced to 0.120–0.156 μm, and surface hardness increases to 60.9–61.6 HRC.
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来源期刊
Ultrasonics Sonochemistry
Ultrasonics Sonochemistry 化学-化学综合
CiteScore
15.80
自引率
11.90%
发文量
361
审稿时长
59 days
期刊介绍: Ultrasonics Sonochemistry stands as a premier international journal dedicated to the publication of high-quality research articles primarily focusing on chemical reactions and reactors induced by ultrasonic waves, known as sonochemistry. Beyond chemical reactions, the journal also welcomes contributions related to cavitation-induced events and processing, including sonoluminescence, and the transformation of materials on chemical, physical, and biological levels. Since its inception in 1994, Ultrasonics Sonochemistry has consistently maintained a top ranking in the "Acoustics" category, reflecting its esteemed reputation in the field. The journal publishes exceptional papers covering various areas of ultrasonics and sonochemistry. Its contributions are highly regarded by both academia and industry stakeholders, demonstrating its relevance and impact in advancing research and innovation.
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