Bibliographic record
Abstract
As the use of mechanical actuator becomes more unfeasible in this world that require flexibility and light-weight products, an alternative solution is needed that is beyond the capabilities of current single stimuli-responsive and single functioning soft actuators. The limitations of a single function (actuation) powered by a single external stimulus hinders its practicality for real-world applications that is comprised of integrated systems. This thesis presents a series of studies in the development of multi-stimuli-responsive and multifunctional soft actuators, with unlimited potential in function and power source, and ultimately better suited for the application at hand. Single stimuli-responsive soft actuation systems were carefully studied for successful integration into multi-functioning hybrid composites, starting with piezoelectric polymer actuator where nanofillers were embedded to increase its actuation magnitude. As a gripper system, hybrid pneumatic-magnetic soft actuator was able to increase its degree of freedom in actuation and demonstrate multi-plane actuation with increased blocking force. With robust actuation, its application went beyond traditional grippers and was able to move itself to complete an LED circuit and demonstrate its actuation in air and water environments. For smaller actuation, such as vibration dampers, a hybrid piezoelectric-magnetic self-sensing actuator (HPMSA) in a thin film device was utilized highlighting simultaneous alignment of multiple nanofillers and crystals for enhanced sensing and actuation properties. By applying 3D printing, the same HPMSA could be fabricated in greater size to sense and dampen excessive vibrations that are harmful to vehicle passengers. This fast and scalable fabrication method allows the possibility of mass production and commercial use, easily producing thin films of same properties. The results of this research can be used to further the development of multi-stimuli / -functional soft actuators to enhance actuation performance and take a step closer to replacing mechanical actuators and actuator systems in its entirety.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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) | 0.001 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".