| ZHAO Shi-yu,ZHOU Chao,ZHAN Yan-ran.Quality Characterization of Surfaces Formed by Single Point Incremental Forming Based on Functional Parameters[J],49(10):346-352 |
| Quality Characterization of Surfaces Formed by Single Point Incremental Forming Based on Functional Parameters |
| Received:April 30, 2020 Revised:October 20, 2020 |
| View Full Text View/Add Comment Download reader |
| DOI：10.16490/j.cnki.issn.1001-3660.2020.10.041 |
| KeyWord:single point incremental forming surface quality surface property, material ratio curve functional parameters |
| Author | Institution |
| ZHAO Shi-yu |
1.Department of Mechanical and Electrical Engineering, Fuzhou Polytechnic, Fuzhou , China |
| ZHOU Chao |
2.School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou , China |
| ZHAN Yan-ran |
2.School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou , China |
|
| Hits: |
| Download times: |
| Abstract: |
| The work aims to characterize the quality of surfaces formed by single point incremental forming (SPIF) comprehensively, accurately and quantitatively, and predict the surface properties and then carry out study on the characterization of geometrical morphology by functional parameters based on the material ratio curve in rough surface with conical frustums as examples. Conical frustums with forming angles of 35°, 45° and 55° were processed respectively by SPIF. The formed surface of each frustum was divided into top, middle and bottom regions, and 4 samples were randomly measured in each region by three-dimensional surface profile. According to ISO 25178-2:2012, the material ratio curve of each measured rough surface was divided into three regions: peak, core and dale. Some functional parameters, such as core height Sk, peak material volume Vmp, core material volume Vmc and dale void volume Vvv were selected and compared with commonly used height characterization parameters including Sa, Sq, Ssk and Sku. The values of Ssk and Sku of the formed surfaces were extremely unstable, and the maximum variation coefficients (ratio of standard deviation to mean value) were 127.67% and 39.11% respectively. The maximum variation coefficients of Sa and Sq were 4.41% and 4.26% respectively, which were relatively stable, but often failed to reflect the actual differences in morphology. Since functional parameters characterized functional regions independently, the maximum variation coefficients of Sk and Vmc were 9.32% and 7.735 respectively, which indicated consistent surface properties in long-term working stages. Meanwhile, the maximum variation coefficients of Vmp and Vvv were 60.53% and 31.25% respectively, which indicated different appearance in peak and dale regions, and different performance in running-in stage and wear particle storage. Therefore, the three dimensional nature of rough surfaces requires three dimensional parameters to fully characterize their geometries. The calculation of height parameters is simple, but it is often difficult to interpret the physical meaning, and evaluate the surface properties quantitatively. The functional parameters have clear physical meaning, which provides a quantitative and practical way for surface quality characterization and performance prediction. |
| Close |
|
|
|