17 research outputs found
TRASYS form factor matrix normalization
A method has been developed for adjusting a TRASYS enclosure form factor matrix to unity. This approach is not limited to closed geometries, and in fact, it is primarily intended for use with open geometries. The purpose of this approach is to prevent optimistic form factors to space. In this method, nodal form factor sums are calculated within 0.05 of unity using TRASYS, although deviations as large as 0.10 may be acceptable, and then, a process is employed to distribute the difference amongst the nodes. A specific example has been analyzed with this method, and a comparison was performed with a standard approach for calculating radiation conductors. In this comparison, hot and cold case temperatures were determined. Exterior nodes exhibited temperature differences as large as 7 C and 3 C for the hot and cold cases, respectively when compared with the standard approach, while interior nodes demonstrated temperature differences from 0 C to 5 C. These results indicate that temperature predictions can be artificially biased if the form factor computation error is lumped into the individual form factors to space
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Expected atmospheric environment for the Phoenix landing season and location
The Phoenix mission, launched on 4 August 2007, landed in the far northern
plains of Mars on 25 May 2008. In order to prepare for the landing events and the
90-sol mission, a significant amount of work has gone into characterizing the atmospheric
environment at this location on Mars for northern late spring through midsummer.
In this paper we describe the motivation for the work and present our results
on atmospheric densities and winds expected during the Phoenix entry, descent,
and landing, as well as near-surface pressure, temperature, winds, surface temperature,
and visible optical depth expected over the course of the science missio
Thermal Design Overview of the Mars Exploration Rover Project
Contents include the following: Mission Overview. Thermal Environments. Driving Thermal Requirements. Thermal Design Approach. Thermal Control Block Diagram. Thermal Design Description. Thermal Analysis Results Summary. Testing Plans. Issues & Concerns
Thermal Design Validation of the Mars Scout Phoenix Payload
This slide presentation reviews the validation of the thermal design for the Mars Scout Phoenix Payload. It includes a description of the Phoenix Mission, the science objectives, the timeline, and the flight system and payloads that were on the lander. The initial responsibility for the development and validation the thermal design was with the developers. This process lacked overall system engineering, there was a difference of thermal expertise, and the number of institutions involved complicated the interactions. The revised approach for payload thermal design validation is described
Margin determination in the design and development of a thermal control system
A method for determining margins in conceptual-level design via probabilistic methods is described. The goal of this research is to develop a rigorous foundation for determining design margins in complex multidisciplinary systems. As an example application, the investigated method is applied to conceptual-level design of the Mars Exploration Rover (MER) cruise stage thermal control system. The method begins with identifying a set of tradable system-level parameters. Models that determine each of these tradable parameters are then created. The variables of the design are classified and assigned appropriate probability density functions. To characterize the resulting system, a Monte Carlo simulation is used. Probabilistic methods can then be used to represent uncertainties in the relevant models. Lastly, results of this simulation are combined with the risk tolerance of thermal engineers to guide in the determination of margin levels. The method is repeated until the thermal engineers are satisfied with the balance of system-level parameter values. For the thermal control example presented, margins for maximum component temperatures, dry mass, power required, schedule, and cost form the set of tradable system-level parameters. Use of this approach for the example presented yielded significant differences between the calculated design margins and the values assumed in the conceptual design of the MER cruise stage thermal control system