This extensional mode resonator (XMR) device is described by a model developed in this paper that predicts the power that is harvested as a function of the frequency and amplitude of the external vibration, the elastic and piezoelectric materials properties, and the device geometry.
The objectives of this research were to explore the changes in the low back biomechanical responses during a harvesting task as a function of different harvesting techniques/postures and to explore the effects of an ergonomic intervention designed to reduce the low back stress during this work activity.
Estimates of harvest rates (as a function of age, sex, food availability, and hunting effort) were similar for the three H a, s, f, e) sub-models (Appendix S3), so we will subsequently only focus on the H a, s, f, e; w = 1) estimator, which provided a good overall fit to the harvest data (Figure 6A,B).
The Downing method shares many characteristics with our integrated modeling approach (e.g., both model harvest rates as a function of age and time), and one might argue that the trends from the Downing method could be scaled by the mark-recapture estimates to provide a similar depiction of population abundance over time.
However, it could be inferred that most of the bio-inspired robotic end-effectors designed in the literature are capable of achieving a single work function such as gripping/grasping (i.e. pick and place), drilling, milling and plucking (i.e. harvesting) as well as auxiliary function such as inspection during product manufacturing.
See Table 1 for a list of population parameter values, and Figures 1 and prior literature [12], [43] for the per recruit egg production and harvest-per-recruit as a function of harvest rate.
The bellows expand/contract depending upon the ambient temperature and the energy harvested is calculated as a function of the bellows' length.
Furthermore, the proposed thermal harvesting performances are investigated as a function of the dense degree of the medium-layer configurations.
The authors also developed a simple deterministic model capable of predicting harvesting productivity and cost, as a function of significant site and economic conditions.
Optimum sizing of the rainwater harvesting system is investigated as a function of two non-dimensional parameters: the demand fraction and the storage fraction.
