Parametric Optimization and Prediction Tool for Lunar Surface Systems Excavation Tasks

Award Information
Agency:
National Aeronautics and Space Administration
Amount:
$99,939.00
Program:
SBIR
Contract:
NNX10CE59P
Solitcitation Year:
2009
Solicitation Number:
N/A
Branch:
N/A
Award Year:
2010
Phase:
Phase I
Agency Tracking Number:
094206
Solicitation Topic Code:
X6.01
Small Business Information
Honeybee Robotics Ltd.
460 W. 34th Street, New York, NY, 10001-2320
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
131364820
Principal Investigator
 Kris Zacny
 Principal Investigator
 (510) 207-4555
 zacny@honeybeerobotics.com
Business Contact
 Chris Chapman
Title: President
Phone: (646) 459-7802
Email: chapman@honeybeerobotics.com
Research Institution
N/A
Abstract
Honeybee Robotics proposes to develop a software tool for facilitating lunar excavation system trades in support of selecting an optimal architecture. This will provide engineers with the ability to quickly examine "What if?" scenarios within a trade space by specifying an excavation architecture and receiving data and graphs evaluating that architecture's performance in terms relevant metrics, such as total energy used or total duration. Excavation tasks supporting outpost development and lunar ISRU will require moving hundreds to thousands of tons of regolith per year. Moving this much regolith will require substantial machinery, but transportation costs on the order of $50K to $100K per kilogram to the surface of the Moon make it an economic necessity to make optimal use of lunar excavation equipment. An architecture that saves a few thousand kilograms in equipment will save hundreds of millions in program dollars – a substantial return on investment. This software aims to be (a) user friendly, (b) relevant to LSS's priorities, and (c) accurate for lunar excavation. Phase 1 will address user-friendliness, relevance, and the theoretical side of accuracy. Phase 2 will expand the tool's relevance to a larger trade space, and attack selected gaps on the empirical side of accuracy. This tool will be based on the very best models and data available, and will benefit from the knowledge and experience of both Dr. Kris Zacny, the Principal Investigator, and Dr. David Carrier, a subcontractor in this effort. Phase 1 will result produce the basic framework for the software, which will be capable of performing analyses for a selected set of excavation scenarios. Phase 2 will then add depth to that framework to address a wide range of excavation tasks and tools, and will involve experimentation to validate and fine tune the software.

* information listed above is at the time of submission.

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