Literature DB >> 34206556

Evaluating the Homogeneity of Surface Features Induced by Impact-Based Surface Treatments.

Asghar Heydari Astaraee1, Sara Bagherifard1, Stefano Monti1, Mario Guagliano1.   

Abstract

Impact surface treatments are well-known for their efficiency in enhancing the mechanical properties of metallic materials, especially under cyclic loadings. These processes, which encompass a wide range of surface treatments based on repetitive impacts of tools of various types, induce surface plastic deformation, compressive residual stresses, and grain refinement alter the surface roughness as a side effect. Thus, it is essential to have suitable indexes to quantify the surface features caused by the typically random nature of these treatments. Herein, we evaluated the rationality of using standard roughness parameters for describing the morphological characteristics of surfaces treated by shot peening as a representative and widely used treatment of the category. A detailed numerical model of the peening process was developed. The output data were elaborated to extract the surface roughness parameters following the standard procedures. The results revealed the validity of the surface roughness parameters to describe the topography of material treated with adequate surface coverage, also highlighting the necessity to use a set of parameters rather than the common practice of relying on single parameters. Not considering a comprehensive set of amplitude and spacing parameters can result in significant, inconsistent, and misleading results while comparing the performance of surfaces.

Entities:  

Keywords:  impact-based surface treatments; shot peening; surface morphology; surface roughness

Year:  2021        PMID: 34206556     DOI: 10.3390/ma14133476

Source DB:  PubMed          Journal:  Materials (Basel)        ISSN: 1996-1944            Impact factor:   3.623


  1 in total

1.  Extending conventional surface roughness ISO parameters using topological data analysis for shot peened surfaces.

Authors:  Jan F Senge; Asghar Heydari Astaraee; Pawel Dłotko; Sara Bagherifard; Wolfram A Bosbach
Journal:  Sci Rep       Date:  2022-04-01       Impact factor: 4.379

  1 in total

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