Experimental and numerical investigation of the deep rolling process focussing on 34CrNiMo6 railway axles

IF 2.6 3区 材料科学 Q2 ENGINEERING, MANUFACTURING International Journal of Material Forming Pub Date : 2023-07-24 DOI:10.1007/s12289-023-01775-y
Tobias Pertoll, Christian Buzzi, Andreas Dutzler, Martin Leitner, Benjamin Seisenbacher, Gerhard Winter, László Boronkai
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Abstract

Deep rolling is a powerful tool to increase the service life or reduce the weight of railway axles. Three fatigue-resistant increasing effects are achieved in one treatment: lower surface roughness, strain hardening and compressive residual stresses near the surface. In this work, all measurable changes introduced by the deep rolling process are investigated. A partly deep-rolled railway axle made of high strength steel material 34CrNiMo6 is investigated experimentally. Microstructure analyses, hardness-, roughness-, FWHM- and residual stress measurements are performed. By the microstructure analyses a very local grain distortion, in the range < 5 µm, is proven in the deep rolled section. Stable hardness values, but increased strain hardening is detected by means of FWHM and the surface roughness is significantly reduced by the process application. Residual stresses were measured using the XRD and HD methods. Similar surface values are proven, but the determined depth profiles deviate. Residual stress measurements have generally limitations when measuring in depth, but especially their distribution is significant for increasing the durability of steel materials. Therefore, a numerical deep rolling simulation model is additionally built. Based on uniaxial tensile and cyclic test results, examined on specimen machined from the edge layer of the railway axle, an elastic–plastic Chaboche material model is parameterised. The material model is added to the simulation model and so the introduced residual stresses can be simulated. The comparison of the simulated residual stress in-depth profile, considering the electrochemical removal, shows good agreement to the measurement results. The so validated simulation model is able to determine the prevailing residual stress state near the surface after deep rolling the railway axle. Maximum compressive residual stresses up to about -1,000 MPa near the surface are achieved. The change from the induced compressive to the compensating tensile residual stress range occurs at a depth of 3.5 mm and maximum tensile residual stresses of + 100 MPa at a depth of 4 mm are introduced. In summary, the presented experimental and numerical results demonstrate the modifications induced by the deep rolling process application on a railway axle and lay the foundation for a further optimisation of the deep rolling process.

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以34CrNiMo6铁路车轴为重点的深轧工艺试验与数值研究
深滚压是提高铁路车轴使用寿命或减轻车轴重量的有力工具。在一次处理中实现了三个抗疲劳的增加效果:降低表面粗糙度,应变硬化和表面附近的压残余应力。在这项工作中,所有可测量的变化引入深轧过程进行了研究。对高强度钢34CrNiMo6半深轧铁路车轴进行了试验研究。显微结构分析,硬度,粗糙度,FWHM-和残余应力测量执行。通过显微组织分析,证实了在深轧断面存在非常局部的晶粒变形,变形范围为< 5µm。硬度值稳定,但通过FWHM检测到应变硬化增加,并且工艺应用显著降低了表面粗糙度。采用XRD和HD方法测量了残余应力。证实了类似的表面值,但确定的深度剖面存在偏差。残余应力测量在深度测量时通常有局限性,但其分布对提高钢材料的耐久性具有重要意义。为此,建立了深滚数值模拟模型。根据铁路车轴边缘层试件单轴拉伸和循环试验结果,参数化了其弹塑性Chaboche材料模型。将材料模型加入到仿真模型中,从而可以模拟引入的残余应力。考虑电化学去除的模拟残余应力深度分布图与实测结果吻合较好。经过验证的仿真模型能够确定铁路车轴深滚后近表面的普遍残余应力状态。表面附近的最大残余压应力可达-1,000 MPa左右。在3.5 mm深度处,从诱导压应力到补偿残余拉应力范围发生变化,在4mm深度处,最大残余拉应力为+ 100mpa。总之,本文的实验和数值结果验证了深轧工艺在铁路车轴上的应用所引起的变化,为深轧工艺的进一步优化奠定了基础。
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来源期刊
International Journal of Material Forming
International Journal of Material Forming ENGINEERING, MANUFACTURING-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.10
自引率
4.20%
发文量
76
审稿时长
>12 weeks
期刊介绍: The Journal publishes and disseminates original research in the field of material forming. The research should constitute major achievements in the understanding, modeling or simulation of material forming processes. In this respect ‘forming’ implies a deliberate deformation of material. The journal establishes a platform of communication between engineers and scientists, covering all forming processes, including sheet forming, bulk forming, powder forming, forming in near-melt conditions (injection moulding, thixoforming, film blowing etc.), micro-forming, hydro-forming, thermo-forming, incremental forming etc. Other manufacturing technologies like machining and cutting can be included if the focus of the work is on plastic deformations. All materials (metals, ceramics, polymers, composites, glass, wood, fibre reinforced materials, materials in food processing, biomaterials, nano-materials, shape memory alloys etc.) and approaches (micro-macro modelling, thermo-mechanical modelling, numerical simulation including new and advanced numerical strategies, experimental analysis, inverse analysis, model identification, optimization, design and control of forming tools and machines, wear and friction, mechanical behavior and formability of materials etc.) are concerned.
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