Experimental study and analysis of surface roughness of the flow formed H30 alloy tubes
| Autor: | Tarak Nath De, Nirmal Baran Hui, Bikramjit Podder, Chandan Mondal |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Variables Materials science business.industry media_common.quotation_subject Optimal flow Alloy Flow (psychology) 02 engineering and technology Mechanics engineering.material 021001 nanoscience & nanotechnology 01 natural sciences Bayesian multivariate linear regression 0103 physical sciences engineering Surface roughness 0210 nano-technology business Quality assurance media_common |
| Zdroj: | Materials Today: Proceedings. 38:3190-3197 |
| ISSN: | 2214-7853 |
| Popis: | Surface roughness is one of the most important parameters of a finished, high precision axi-symmetric product manufactured by the flow forming technology. Consequently, the determination of optimal flow forming parameters to minimize surface roughness assumes greater significance in assuring quality assurance. It is generally accepted that the surface roughness parameters of both ID and OD of the flow formed tube plays an important role in its intended functionality. Accordingly, in the present study, surface roughness parameters have been methodically generated for given combinations of input processing variables, namely, feed-speed ratio (FS), axial stager (AS), and in-feed (IF). A multivariate linear regression technique has been adapted for mathematical modeling. Empirical relations have been developed between the aforementioned independent variables and experimentally measured surface roughness values. The adequacy of the model and its acceptance has been demonstrated through the correlation of results. Furthermore, the F-test and P-tests are carried out to evaluate the significance of input parameters used in the model. Analysis of variance has been utilized to establish the percentage contribution of each input parameters on the surface roughness. Detailed analyses of results reveal that FS is having a major contribution (70%) on the surface roughness parameter. Confirmatory experimental trials have been carried out to validate the generated mathematical model. The tests have been found to agree well with the model predictions described herein. |
| Databáze: | OpenAIRE |
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