Dynamic model and modal testing for vibration analysis of robotic grinding process with a 6DOF flexible-joint manipulator
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Bibliographic record
Abstract
Robot manipulators play an important role in industrial automation. Various aspects of robotic systems were subject of intensive investigations in the past, but the vibration problems in robotic machining processes have been rarely treated in the available literature. In this paper we present dynamic modeling of an ongoing research to study chatter vibration in robotic grinding process using a portable manipulator for rectifying the surfaces of hydro-electric equipments. This special-purpose robot manipulator was developed to automate on-site repairs such as grinding of eroded surfaces, depositing overlay welding and hammer peening. In this study, the structure of robot as the tool holder mechanism of the machining operation is modeled by articulated rigid bodies with flexible joints. The dynamic equations of the 6DOF flexible-joint manipulator are established using Lagrangian formulation. Impulsive grinding forces and periodically perturbed excitations existing in the process are exerted on the model to simulate its response. As an intuitive estimation for joints' stiffness parameters of the model, payload test experiments were performed on the robot. To validate predictions of the dynamic model regarding vibratory behavior, modal testing experiments were performed and measured natural frequencies and mode shapes were compared to their analytical equivalents. Some future trends of the research work are also addressed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it