Modelling the Influence of Slide Burnishing Parameters on the Surface Roughness of Shafts Made of 42CrMo4 Heat-Treatable Steel

Kluz, R.; Antosz, Katarzyna; Trzepieciński, Tomasz; Bucior, Magdalena

doi:10.3390/ma14051175

Cited by 20 publications

(14 citation statements)

References 43 publications

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“…In surface roughness analysis this method is not unique. Kluz et al applied it for testing the characteristics of 2D roughness parameters [38]. In the present study, the minimization is not generalizable, the results can be considered as those of a case study; they are valid only for the analyzed procedure versions and technological parameters.…”

Section: Introductionmentioning

confidence: 96%

Minimization Method for 3D Surface Roughness Evaluation Area

Molnár

2021

Machines

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3D surface roughness measurement is still a less mature procedure than its 2D version. The size of the evaluation area is not as standardized as the measurement length in the 2D version. The purpose of this study is to introduce a method for minimizing the evaluated surface area. This could help industrial applications in minimizing the time and cost of measurements. Machining experiments (hard turning and infeed grinding) and surface roughness measurements were carried out for automotive industrial parts to demonstrate the introduced method. Some frequently used roughness parameters were analyzed. Basic statistical calculations were applied to analyze the relationship between the surface area and the roughness parameter values and regression analyses were applied to validate the results in case of the applied technological data. The main finding of the study is that minimum evaluation areas can be clearly designated and, depending on the different roughness parameter–procedure version, different evaluation sizes (Sa: 1.3 × 1.3 mm; Sq: 1.4 × 1.4 mm; Ssk and Sku: 2 × 2 m; Sp and Sv: 1.7 × 1.7 mm) are recommended.

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Section: Introductionmentioning

confidence: 96%

Minimization Method for 3D Surface Roughness Evaluation Area

Molnár

2021

Machines

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“…The novelty of their approach was that the model includes the target workpiece real surface integrity descriptors resulting from a ball-end milled AISI 1038 surface. Kluz et al [28] have used Artifical Neural Networks (ANNs) to estimate the expected value of surface roughness for sliding burnishing of 42CrMo4 heat-treated steel with polycrystalline diamond and cemented carbide tip tools. Nguyen et al [29] have dealt with the energy-efficient optimization of burnishing process of SKD61 steel to reduce the energy consumption while improving the surface roughness and the hardness of the workpiece at the same time.…”

Section: Introductionmentioning

confidence: 99%

CAD and FEM Modelling of Theoretical Roughness in Diamond Burnishing

Felhő

Varga

2022

Int. J. Precis. Eng. Manuf.

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Diamond burnishing is a widely used finishing machining that can have a positive effect on both the roughness of cut surfaces and its stress state. This paper is focused on the examination of the theoretical and real roughness of surfaces machined by sliding burnishing. In determining the theoretical roughness, the surface structure created by the pre-burnishing cutting (turning) was also considered. Two different modelling methods were used to obtain theoretical surface roughness data: CAD-modelling and finite element simulation. A method using CAD-based modelling of the machined surface was used to determine the theoretical roughness for both the turning and burnishing processes. However, this previously developed model is not directly applicable to plastic deformation processes such as diamond burnishing, so the principle of the Hertz theory for normal contact of elastic solids was used to calculate the penetration depth of the tool into the workpiece. The 2D FEM simulations were performed in the DEFORM software. To validate the applied modelling methods, real cutting experiments were performed, where the surface roughness values were measured during diamond burnishing experiments with different feed per revolution values. Based on the comparison of both applied modelling methods with real roughness data it can be stated that the theoretical roughness values are well approximated the real data.

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“…Low plasticity burnishing (LPB) is a cost-effective surface treatment process which employs spherical ball rolling on the material surface to produce plastic deformation. The LPB process can provide a smoother surface, deeper compressive residual stress layer and a lesser degree of cold-work compared with SP and LSP, while inhibiting the crack initiation and propagation [ 13 , 14 ]. Therefore, the advantages of LPB have attracted the interest of researchers and engineers.…”

Section: Introductionmentioning

confidence: 99%

Studies on the Microstructural Evolution and Mechanical Properties of Superalloy Inconel 718 Induced by Low Plasticity Burnishing Coupled with Turning

Hua

Liu

et al. 2022

Materials

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Mechanical surface treatments are needed to perform on components for fatigue life enhancement by introducing beneficial compressive residual stress and material strengthening. In this study, the combined turning with low plasticity burnishing (LPB) surface modification process was performed for the sake of improving mechanical properties of Inconel 718. Firstly, the evolution of microstructure and residual stress after the LPB process were analyzed with the aid of electron backscatter diffraction (EBSD) and X-ray diffraction (XRD), respectively. Secondly, the tensile behavior of treated samples was investigated through tension tests. Finally, the micro-strengthening mechanism of Inconel 718, induced by the LPB process, was revealed. The results show that the peak compressive stress is increased by a factor of 4.2 after the LPB process. The grain refinement induced by the LPB process is attributed to the increase of average misorientation and the formation of high angle grain boundaries (HAGBs). The enhanced yield strength depends on the decreased average spacing and the increased HAGBs.

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Modelling the Influence of Slide Burnishing Parameters on the Surface Roughness of Shafts Made of 42CrMo4 Heat-Treatable Steel

Cited by 20 publications

References 43 publications

Minimization Method for 3D Surface Roughness Evaluation Area

Minimization Method for 3D Surface Roughness Evaluation Area

CAD and FEM Modelling of Theoretical Roughness in Diamond Burnishing

Studies on the Microstructural Evolution and Mechanical Properties of Superalloy Inconel 718 Induced by Low Plasticity Burnishing Coupled with Turning

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