2,678 research outputs found
Small business innovation research. Abstracts of completed 1987 phase 1 projects
Non-proprietary summaries of Phase 1 Small Business Innovation Research (SBIR) projects supported by NASA in the 1987 program year are given. Work in the areas of aeronautical propulsion, aerodynamics, acoustics, aircraft systems, materials and structures, teleoperators and robotics, computer sciences, information systems, spacecraft systems, spacecraft power supplies, spacecraft propulsion, bioastronautics, satellite communication, and space processing are covered
Framework for operability assessment of production facilities: an application to a primary unit of a crude oil refinery
This work focuses on the development of a methodology for the optimization, control and operability of both existing and new production facilities through an integrated environment of different technologies like process simulation, optimization and control systems. Such an integrated environment not only creates opportunities for op¬erational decision making but also serves as training tool for the novice engineers. It enables them to apply engineering expertise to solve challenges unique to the process industries in a safe and virtual environment and also assist them to get familiarize with the existing control systems and to understand the fundamentals of the plant operation. The model-based methodology proposed in this work, starts with the implementation of first principle models for the process units on consideration. The process model is the core of the methodology. The state of art simulation technologies have been used to model the plant for both steady state and dynamic state conditions. The models are validated against the plant operating data to evaluate the reliability of the models. Then it is followed by rigorously posing a multi-optimization problem. In addition to the basic economic variables such as raw materials and operating costs, the so-called “triple-bottom-line” variables related with sustainable and environmental costs are incorporated into the objective function. The methodologies of Life Cycle Assessment (LCA) and Environmental Damage Assessment (EDA) are applied within the optimization problem. Subsequently the controllability of the plant for the optimum state of conditions is evaluated using the dynamic state simulations. Advanced supervisory control strategies like the Model Predictive Control (MPC) are also implemented above the basic regulatory control. Finally, the methodology is extended further to develop training simulator by integrating the simulation case study to the existing Distributed Control System (DCS). To demonstrate the effectiveness of the proposed methodology, an industrial case study of the primary unit of the crude oil refinery and a laboratory scale packed distillation unit is thoroughly investigated. The presented methodology is a promising approach for the operability study and optimization of production facilities and can be extended further for an intelligent and fully-supportable decision making
Aerospace Medicine and Biology. A continuing bibliography with indexes
This bibliography lists 244 reports, articles, and other documents introduced into the NASA scientific and technical information system in February 1981. Aerospace medicine and aerobiology topics are included. Listings for physiological factors, astronaut performance, control theory, artificial intelligence, and cybernetics are included
Aerospace medicine and biology: A continuing bibliography with indexes (supplement 355)
This bibliography lists 147 reports, articles and other documents introduced into the NASA Scientific and Technical Information System during October, 1991. Subject coverage includes: aerospace medicine and psychology, life support systems and controlled environments, safety equipment, exobiology and extraterrestrial life, and flight crew behavior and performance
Applications of dynamic simulations in the process industries : a safety case study using Texas City refinery explosion
Although process safety performance in petroleum refineries is much better today compared to several decades ago, major accidents still occur occasionally. The explosion and fires at Texas City refinery on 23 March 2005 is regarded as one of the worst industrial accidents in US history to date. Dynamic process simulation provides an effective means to collect, collate and analyze data from previous incidents and offer recommendations of good practice to further improve process safety outcomes.A simulation of the sequence of events that led to the catastrophic explosions at Texas City refinery is presented in Aspen HYSYS. An initial steady state simulation of the operation of the raffinate splitter column at Texas City forms the basis for a subsequent dynamic simulation of the filling of the distillation column from 0213hrs until 1313hrs when the explosion occurred. A PID (proportional, integral, derivative) control scheme is implemented with appropriate tuning parameters.The dynamic simulation of the overall tower filling dynamics from 1000hrs to 1320hrs when the explosion occurred revealed that the feed to the column vaporised at approximately 1310 hrs. This happened as a result of the additional heat input into the column through the feed-product heat exchanger. Subsequently, thermal expansion of the liquid in the column led to the filling of the overhead vapour line with hydrocarbon liquids and an increase in pressure as a result of the hydrostatic liquid head. Flammable hydrocarbon vapours subsequently flowed from the overhead line through the collection headers into the blowdown drum. An alternative accident pathway is presented as the basis for a quantitative hazard and operability study, HAZOP
Simulation Intelligence: Towards a New Generation of Scientific Methods
The original "Seven Motifs" set forth a roadmap of essential methods for the
field of scientific computing, where a motif is an algorithmic method that
captures a pattern of computation and data movement. We present the "Nine
Motifs of Simulation Intelligence", a roadmap for the development and
integration of the essential algorithms necessary for a merger of scientific
computing, scientific simulation, and artificial intelligence. We call this
merger simulation intelligence (SI), for short. We argue the motifs of
simulation intelligence are interconnected and interdependent, much like the
components within the layers of an operating system. Using this metaphor, we
explore the nature of each layer of the simulation intelligence operating
system stack (SI-stack) and the motifs therein: (1) Multi-physics and
multi-scale modeling; (2) Surrogate modeling and emulation; (3)
Simulation-based inference; (4) Causal modeling and inference; (5) Agent-based
modeling; (6) Probabilistic programming; (7) Differentiable programming; (8)
Open-ended optimization; (9) Machine programming. We believe coordinated
efforts between motifs offers immense opportunity to accelerate scientific
discovery, from solving inverse problems in synthetic biology and climate
science, to directing nuclear energy experiments and predicting emergent
behavior in socioeconomic settings. We elaborate on each layer of the SI-stack,
detailing the state-of-art methods, presenting examples to highlight challenges
and opportunities, and advocating for specific ways to advance the motifs and
the synergies from their combinations. Advancing and integrating these
technologies can enable a robust and efficient hypothesis-simulation-analysis
type of scientific method, which we introduce with several use-cases for
human-machine teaming and automated science
Aerospace medicine and biology: A continuing bibliography with indexes (supplement 323)
This bibliography lists 125 reports, articles and other documents introduced into the NASA Scientific and Technical Information System during April, 1989. Subject coverage includes; aerospace medicine and psychology, life support systems and controlled environments, safety equipment exobiology and extraterrestrial life, and flight crew behavior and performance
Novel analysis and modelling methodologies applied to pultrusion and other processes
Often a manufacturing process may be a bottleneck or critical to a business. This thesis
focuses on the analysis and modelling of such processest, to both better understand them,
and to support the enhancement of quality or output capability of the process.
The main thrusts of this thesis therefore are:
To model inter-process physics, inter-relationships, and complex processes in a
manner that enables re-exploitation, re-interpretation and reuse of this knowledge and
generic elements e.g. using Object Oriented (00) & Qualitative Modelling (QM)
techniques. This involves the development of superior process models to capture
process complexity and reuse any generic elements; To demonstrate advanced modelling and simulation techniques (e.g. Artificial Neural
Networks(ANN), Rule-Based-Systems (RBS), and statistical modelling) on a number
of complex manufacturing case studies; To gain a better understanding of the physics and process inter-relationships exhibited
in a number of complex manufacturing processes (e.g. pultrusion, bioprocess, and
logistics) using analysis and modelling.
To these ends, both a novel Object Oriented Qualitative (Problem) Analysis (OOQA)
methodology, and a novel Artificial Neural Network Process Modelling (ANNPM)
methodology were developed and applied to a number of complex manufacturing case
studies- thermoset and thermoplastic pultrusion, bioprocess reactor, and a logistics
supply chain. It has been shown that these methodologies and the models developed support
capture of complex process inter-relationships, enable reuse of generic elements,
support effective variable selection for ANN models, and perform well as a predictor of
process properties. In particular the ANN pultrusion models, using laboratory data from
IKV, Aachen and Pera, Melton Mowbray, predicted product properties very well
Aerospace medicine and biology: A continuing bibliography with indexes (supplement 297)
This bibliography lists 89 reports, articles and other documents introduced into the NASA scientific and technical information system in April, 1987
Aerospace medicine and biology: A continuing bibliography with indexes, supplement 204
This bibliography lists 140 reports, articles, and other documents introduced into the NASA scientific and technical information system in February 1980
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