Conroy, Mike

NASA Technical Reports Server

https://ntrs.nasa.gov/search.jsp?R=20120006544 2019-08-30T19:56:10+00:00Z
Life Cycle Design Drivers @ Kennedy 
• We are typically at the end of the flight system lifecycle 
- Or, the receiving side of the fence 
• But, we own lifecycles for: 
- Facilities, Control Systems, Transportation, Support Equipment 
• These drove the need for: 
- Reverse Engineering (stuff designed in 1950's) 
- PDM/PLM (data from EVERY CAD package ever) 
- Process Modeling (DES, Flows, Constraints) 
- Cost Modeling, System Assurance 
- Design Visualization (will it fit, can I reach it, see it, do it) 
- Full System Simulation (early integration, interface verification) 
- Partners and Teammates 
• And These Enabled 
- Successes, and Un-Ambiguous Communications 
2 
Reverse Engineering 
Did you know some 
Concrete Columns 
can migrate up to 1 0 
inches? 
Drawings are 
NEVER wrong. 
Tracey Kickbusch (tracey.e.kickbusch@nasa.gov) 3 
PDM/PLM = Req. Based Digital Vehicle 
Attributes Mapping: 
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Apptoved Par"", Req 10 
In-Woo. ChidReq ID r---------,jr~ 
In·Verifled 
Venfied 
·ogram Requirements 
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110 r .... Sarus Ra:ialalel 
Develop/demonstrate the capability of 
sharing, passing and statusing of 3D 
neutral format design models and their 
corresponding product structures 
(indentured EBOMs) between disparate 
product data management (PDM) 
systems 
I Master Product Structure I Digital Launch Vehicle 
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Windchill 
GSE 
CADAssy 
CAD Tools 
Steve Kennedy (steven.e.kennedy@nasa.gov) 4 
Discrete Event Simulation (DES) 
Represent System Processes in a 
time-based modeL .. 
... to perform systems performance 
analysis (capacity/time/resources) 
180 days 
Cumulative Probability of Achieving X or More Launches 
91-Day Mission Request; Pad Scrubs and Roll backs On; 
Integrat ion : 5x3 Sh ift ing 
90% -
RPOD Ops 80% - ----..--
LEO Config 
LEO Loiter 
Post-Flight Processing 
Refurb 
70% -------J~------------
60% --~'-
50% 
40% ---1--
Number of launches 
• ) 
~ 
Recovery Post-Flight Processing 
Refurb 
Martin Steele (martin.j.steele@nasa.gov) 
Life-Cycle Cost Estimation, Modeling, Analysis 
• State-of-practice: Kennedy supports agency life-cycle cost 
estimation / analysis through quantitative, numerical modeling 
- Domain includes entire architectural view to just KSC ground operations field 
- Architectural analysis are macro-level, integrative, expertise intensive. 
• Launch vehicle, in-space element such as capsule, reusable vehicles, 
landers, habitats, ground ops, mission ops, etc. 
- Tasks may reuse or build upon prior models, or start models from scratch; 
Current tool of choice is Excel 
Configuration ------, Labor intensive effort 
involved for correctness, 
configuration control of 
many "what-it's" or 
"scenarios" and for , 
automation, repeatabi lity. 
$12 Flight rates 
-.-//. 
-Direct costs - Practices 
-Indirect costs 
-
Contractor 
Government Relationships 
-
$10 
:= 
$8 
-
-
-
$6 ~------------------~-------------
• 
$2 ~----f--_~ _________________ I-
2010 2Ol3 
Edgar Zapata (edgar.zapata-1@nasa.gov) 6 
- Engineering Assurance Modeling & Analyses 
• 
• 
• 
• 
Kennedy provides a set of COTS tools called the Integrated and Design 
Assurance System. IDAS enables employees to "learn and do" 
engineering assurance analyses apross a system life cycle. 
- These modules allow engineers to predict and analyze operating outcomes such 
as reliability, maintainability, availability and safety at any stage of a complex 
system's life 
IDAS allows an equipment list (bill of materials) to be imported and 
used to populate the modules. 
IDAS is paperless, provides online training, supports teams, and 
allows users to build, run, and view analyses then upload results to 
Kennedy's PDM. 
IDAS supports all KSC 
programs. For 
Constellation's ground 
systems, it was used by 
KSC Systems Engineers 
in conjunction with KSC 
Design Engineers to identify 
and execute 100+ design 
changes prior to build. 
IDAS \ 
~ NASA',Problem ~~ Reporting. CorndI"" NASA's PRACA data cao be Action (PRACA) Dlilta mported Via snap shots or 
.., .... & live c:onnertors. 
PTC"s WIndchill Quality Solutions [EJ II" .... _CS 
(formerly &ds:&) s/w :: DO_N' 
Enterprise Edition-AIl _lies '\ r. (M~ny NASA c.nten; M\d contRctnB tm. INs "J ~EPRI' CAFTA I 
50rtw.. In lome form) 5 S W 
1.IaIDd: lnWorlt - __ ____ . ; Not~ - • . • • _ • . • ; AI~Tr.tnsfer~abilityGom(lteted-_ ; ~Boxe5 - ~ModIM5; Shi1ldedBonI " Not.t(1:iW~KSC 
NmI: I-80M " 811 of Matel1als; 2-AvaIl»tItyapple5torPP~sym.rmandb a functiondRelabllllyand~ l-FMeA -~ Modes&Effects4nalysts; 
-4 - fRACAS - F~. Reportjn;.-.d CoJrecttve Action Symm. 
f".. 
~I _lOAS _to other systems ( . .... """"".'" m ..... ""' .. (PDM) " """""_ ............. ( ..... ) /) 7 
Design Visualization 
Tracey Kickbusch (tracey.e.kickbusch@nasa.gov) 8 
System Simulation 
---------~--~~~~ ~ 
~ Rendezvous r Ascent 
Launch 
• Vast Improvement to 
Quality and Quantity of Data 
• Very Portable Knowledge 
Mike Conroy (mike.conroy@nasa.gov) 9 
- --- - ----- -
Early Integration 
Mike Conroy (mike.conroy@nasa.gov) 
~--- -- - - - ----- - - - ---
CfLCD 
• Center for Life Cycle Design 
- A Foci for System and Life Cycle Thinking 
- Concept Development, Innovatfon, Design, Development, 
Manufacturing, Operations 
- Purposing and Re-Purposing 
- Government, Industry, Academia, International 
- Smackdown for Workforce Education and Development 
• Opportunity here, UCF does not have a team 
- Complex System Conceptualization and Instantiation 
• Addressing All of the Above 
- Stepping far enough back from the problem to see all of it 
- Share the Problems that are discovered 
- Share the Opportunities as they emerge 
Mike Conroy (mike.conroy@nasa.gov) 
Priscilla Elfrey (priscilla.r.elfrey@nasa.gov) 11 
----- -- -----
Goal: Simulation Based Architecture Maturation 
• System Representations, in a Relevant Environment 
Rebecca Mazzone (rebecca.mazzone@nasa.gov) 
Representative Un-Ambiguous 
Communications and Cool Stuff 
Really, it will NOT fit 
Mike Conroy (mike.conroy@nasa.gov) 14 
Yes, Altair, it IS to scale 
~. - • ~-'.~ - -
~-=:.~.- . 
Mike Conroy (mike.conroy@nasa.gov) 
Safety said NO! 
Tracey Kickbusch (tracey.e.kickbusch@nasa.gov) 
HDU Concept Realization 
Concept 
Design 
Development 
,. . 
Mike Conroy (mike.conroy@nasa.gov 
Back-Up 
Preliminary Opportunities 
and contact information 
Reverse Engineering Opportunities 
• Point Cloud Reduction: 
- So the data can be used in lower order tools 
- Does Color Help 
• Smart Model Development 
- We can now use the points as solid objects, but only in highest 
order tools ($200K ++) 
• Intelligent Tools 
- Data Interpretation 
• What do all these points really represent 
• What is missing, in time to actually get it 
Tracey Kickbusch (tracey.e.kickbusch@nasa.gov) 19 
PDM / PLM Opportunities 
• Plan is to develop the requirements, standards, DRDs 
and data architectures to improve: 
- NASA Engineering's Model Based Systems Engineering (MBSE), 
- Cross center/prime/program collaboration, 
- Engineering release capabilities (initially Requirements) 
- CAO/PS management - (amongst disparate tools & orgs) 
• This will in turn: 
- Provide insight into a range of process solutions by enabling 
technology application 
• (PDLM, Engineering Release, Data I nteroperability, Standards) 
- Feed all the other Opportunities 
Steve Kennedy (steven.e.kennedy@nasa.gov) 20 
The Future of Process Analysis is ... 
"""UbiqUitous model and data fully integrated with the "real world" 
~o~ 
Instantaneous Model building, data availability, & systems analysis 
To make this a reality: 
Easier (and more rapid) model building 
Build the model as you build the real 
world system (MBSE) 
Easier & more complete data availability 
Both valid & live data 
Interactive display of simulation data shown 
in context of the real world system 
Display of real world system with live data 
mixed with simulation data 
Seamless integration with other types of 
simulation and project management system 
Real-time optimization 
Applicable fields: 
Computer Science, Industrial Engineering 
Computer Science/Engineering Electrical, 
Industrial, Mechanical Engineering 
Computer Science/Engineering 
Computer Science/Engineering, Electrical, 
Industrial, Mechanical Engineering 
Computer Science/Engineering Electrical, 
Industrial, Mechanical Aerospace, Engineering 
Computer Science/Engineering Industrial 
Engineering 
Martin Steele (martin.j.steele@nasa.gov) 21 
Life Cycle Cost Opportunities 
• Needs: 
- Tools, methods, or practices that can organize or 
structure information quickly into numeric calculations 
with Scalability, Flexibility, and "Reusable Libraries" 
• Past efforts (xml, ontologies, dedicated 
software/wizards, etc.) have provided new 
challenges that continue 
- Huge Data 
- Evolving Dynamic Systems 
- Massive Flexibility 
Edgar Zapata (edgar.zapata-1@nasa.gov) 22 
Engineering Assurance Opportunities 
• Data transfer from one vendor's tool to another vendor's tool is a challenge 
and sometimes nonexistent. When a vendor's tool cannot accept data from 
a competing tool it encourages camps to form and users to waste time 
competing on which tool should only be used. 
• The training of 
. 
engineers on 
. . 
englneenng assurance 
analyses needs to 
include the purpose of 
the various 
methodologies and how 
these methodologies 
can produced in an 
integrated manner. The 
sequence show is one 
way. Analyses in 
themselves have a life 
cycle-especially in 
engineering design. 
An Idealized Life Cycle for Engineering Assurance Analyses 
I IE--__ Success Space Analyses _ _ ~)I(l'-_ _ Failure Space Analyses ___ ~ 
I 
FFBD~: 
I 
I 
I 
Engineering : 
I 
I 
I I 
I I RBDA~: FMEA~' 
Start 
-
Finish 
Analytica l Prodycts; This work sequence (WHEN ) builds and uses analytical products 
FFBD = Functional Flow Block Diagram (WHAT) in an optimum manner-€specially during the Design Phase. 
RBDA = Reliability Block Diagram Analysis The appropriate mix of experts (WHO and EFFORT) make and deliver 
FMEA = Fai lure Modes & EffectsAnalysis the right analytical product at the right time. In addition to serving the 
FTA = Fault Tree Analysis intended purpose at the desired time , each analytical product serves as 
PRA = Probabi listic Risk Assessment an input that expands the technical fidelity of analytical products that 
follow . 
0% 
Tim Adams (tim.adams@nasa.gov) 
Design Visualization Opportunities 
• Agent Based Inspection 
- An agent architecture, interface ~ that will allow the inclusion of 
agent based intelligence into the simulation 
• Polygon Reduction 
- Work done in these tools is fine, but is limited in portability. The 
hard problem is polygon reduction from the 1 D's of millions used 
here to the millions available in lesser tools. 
Tracey Kickbusch (tracey.e.kickbusch@nasa.gov) 24 
----- --
System Simulation Opportunities 
• Expansion of Talent Base 
Smack Down: 
• Simulation of relevant systems (lunar base, ISRU, communications) 
• Is International, Strong Faculty leadership in Europe, and it shows 
• Real World Tools, Technologies, Problems and Solutions 
• Agent Based Analysis 
- Rich representations of systems in synthetic environment, need 
synthetic analysts 
• Symantec Technologies 
- Huge data, How do you store, catalogue and prepare for future 
utilization 
• Maturation of Standards 
- We need more than we have 
Mike Conroy (mike.conroy@nasa.gov) 25 


UCF Space Day Life Cycle Design (in 15 Minutes or Less)

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