Najib, Ranim (2024) Manufacturing Margins and Robustness of Vibration Prediction for Geared Transmission Systems. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Manufacturing Margins and Robustness of Vibration Prediction for Geared Transmission Systems |
| Autori: | Autore Email Najib, Ranim ranim.najib@unina.it |
| Data: | 28 Febbraio 2024 |
| Numero di pagine: | 199 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Industriale |
| Dottorato: | Ingegneria industriale |
| Ciclo di dottorato: | 36 |
| Coordinatore del Corso di dottorato: | nome email Grassi, Michele michele.grassi@unina.it |
| Tutor: | nome email Franco, Francesco [non definito] De Rosa, Sergio [non definito] Petrone, Giuseppe [non definito] |
| Data: | 28 Febbraio 2024 |
| Numero di pagine: | 199 |
| Parole chiave: | uncertainty, robustness, manufacturing, vibration, gears, optimization, experiment, dynamic, static, transmission error |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/04 - Costruzioni e strutture aerospaziali |
| Depositato il: | 29 Gen 2024 08:24 |
| Ultima modifica: | 15 Apr 2026 09:35 |
| URI: | http://www.fedoa.unina.it/id/eprint/15580 |
Abstract
The present research activity aims to bridge the gap between gear geometry tolerances, eventual test rig uncertainties, and the resulting gear excitations represented by the static transmission error (STE) and mesh stiffness as the main source of whining noise. The research work offers a detailed experimental investigation addressing the impact of manufacturing and assembly errors. One of the major contributions is related to the number of carried measurements, including six spur gear pair configurations, and four helical gear pair configurations. While most literature focuses on gear defects related to wear, cracks, or pitting, this study emphasizes the need to consider gear micro geometry tolerances to bound the vibratory response at the source. The experiments under static conditions are conducted for various operating conditions and compared with numerical computational schemes. Results yield reliable prediction of the gear STE response even in the presence of deviations. The robustness of the predictive numerical tool is validated, which enables further confident parametric studies. In a second step, the spur gear tooth corrections are optimized with a meta-heuristic method (particle swarm) to minimize the fluctuations of STE. A novel sensitivity analysis method is first proposed, to reduce the number of optimization parameters, enabling robust optimizations to be conducted within an acceptable computation time. A robustness analysis is performed considering the wide range of operating torque and the geometric dispersions induced by gear manufacturing tolerances. The gain provided by the optimization of tooth corrections on the vibration response can thus be estimated. To characterize the vibratory response of gear transmission system under manufacturing and mounting uncertainties, the dynamic behavior is investigated. Important differences are detected for gears having the same macro geometry and different manufacturing errors. The meshing excitations resulting from gear uncertainties lead to notable fluctuations in the dynamic responses. The iterative spectral method is applied for numerical computation of gear’s response variability in the presence of uncertainties and voluntary profile corrections.
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