2 resultados para Work Condition and speech

em Memorial University Research Repository


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The condition and quality of cultured blue mussels (Mytilus edulis) are affected by various environmental characteristics including temperature, salinity, food concentration, composition and year-to-year variability, waves, tides, and currents. Mussels are a keystone species in the ecosystem, affecting the surrounding environment through filtration, biodeposition and nutrient recycling. This study evaluated the effects of culture depth and post-harvest handling on cultured blue mussels in Newfoundland, Canada. Depth was examined over two years; three shallow water (5 m depth) and three deep water sites (15 m depth) were compared for environmental characteristics, mussel physiological stress response, growth, and biochemical composition. The area examined presented complex hydrodynamic characteristics; deep water sites appeared to be located more often near or within the pycnocline than shallow water sites. Deep water sites presented lower temperatures than shallow sites from spring to fall. Physiological stress response varied seasonally, but was unaffected by culture depth. In Year 1 shallow and deep water mussels presented similar growth, while in Year 2 deep water mussels showed better final condition. Lipid and glycogen showed seasonal variation, but no significant differences between shallow and deep water were noted. Fatty acid profiles showed a higher content of omega-3s PUFA in deep water sites at the end of Year 2. Under extreme weather conditions, deep water appeared to provide a more stable environment for mussel growth than shallow water. Harvested mussels were kept under ambient live-holding conditions for one month during the fall, winter, and spring seasons. They were compared to freshly harvested mussels for condition, biochemical profile and palatability. A progressive loss of dry tissue weight and an increase in water content were shown over the holding period during the fall and spring seasons, when compared to field controls. The biochemical analysis suggested seasonal changes; differences in triacylglycerol content were found in the spring season when compared with controls. The palatability data indicated that the panellists were unable to determine a difference between mussels kept in holding and those freshly harvested from the site. This study presents new knowledge for mussel farming, especially in terms of environmental interactions and deep water culture.

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The main focus of this research is to design and develop a high performance linear actuator based on a four bar mechanism. The present work includes the detailed analysis (kinematics and dynamics), design, implementation and experimental validation of the newly designed actuator. High performance is characterized by the acceleration of the actuator end effector. The principle of the newly designed actuator is to network the four bar rhombus configuration (where some bars are extended to form an X shape) to attain high acceleration. Firstly, a detailed kinematic analysis of the actuator is presented and kinematic performance is evaluated through MATLAB simulations. A dynamic equation of the actuator is achieved by using the Lagrangian dynamic formulation. A SIMULINK control model of the actuator is developed using the dynamic equation. In addition, Bond Graph methodology is presented for the dynamic simulation. The Bond Graph model comprises individual component modeling of the actuator along with control. Required torque was simulated using the Bond Graph model. Results indicate that, high acceleration (around 20g) can be achieved with modest (3 N-m or less) torque input. A practical prototype of the actuator is designed using SOLIDWORKS and then produced to verify the proof of concept. The design goal was to achieve the peak acceleration of more than 10g at the middle point of the travel length, when the end effector travels the stroke length (around 1 m). The actuator is primarily designed to operate in standalone condition and later to use it in the 3RPR parallel robot. A DC motor is used to operate the actuator. A quadrature encoder is attached with the DC motor to control the end effector. The associated control scheme of the actuator is analyzed and integrated with the physical prototype. From standalone experimentation of the actuator, around 17g acceleration was achieved by the end effector (stroke length was 0.2m to 0.78m). Results indicate that the developed dynamic model results are in good agreement. Finally, a Design of Experiment (DOE) based statistical approach is also introduced to identify the parametric combination that yields the greatest performance. Data are collected by using the Bond Graph model. This approach is helpful in designing the actuator without much complexity.