1) The SSME experienced significant weight growth over its development history due to unrealistic initial requirements that pushed engine design constraints.
2) As the Shuttle design matured, weight became a serious problem and drove the SSME thrust-to-weight ratio requirement to an unattainable level not supported by the technology base.
3) The SSME project manager accepted early engine designs with limited life and performance to meet schedule, but weight was later added through block upgrades as new redesigned components were developed, compromising the original engine design.
This document summarizes simulation work done to optimize the design of a power liftgate subsystem for an SUV. The optimization aimed to reduce weight while meeting structural requirements. Topology optimization of the inner panel identified critical areas for reinforcement. Gauge optimization of reinforcements and plates reduced weight by 1.5 kg compared to the baseline, while still satisfying requirements for both manual and power liftgate loading conditions. The optimized design merged two reinforcements into one component, saving on manufacturing costs.
The document discusses conducting a successful Integrated Baseline Review (IBR). It describes the purpose of an IBR as achieving mutual understanding of the project's performance measurement baseline and identifying and addressing risks early. It outlines important objectives for a successful IBR such as ensuring the technical scope of work and resources are adequate. The document then discusses preparation steps, execution including team composition and roles, and post-IBR activities like documenting a risk response plan and establishing management processes.
The document discusses integrating NASA technical standards with the NASA lessons learned program to improve interoperability between the two systems. It provides an overview of the technical standards program and lessons learned program, and demonstrates how linking related standards and lessons learned entries can increase their value to NASA users. The integration is aimed at improving search capabilities and bidirectional navigation between standards and lessons to enhance visibility of relevant content.
KARI Space Project Management in a Changing Global Environment
The global space economy has continued growing despite economic crises, reaching $276.5 billion in 2010. Korea's space economy fluctuates depending on government projects. KARI has four launches scheduled for 2012 that will evaluate its project management abilities. Space exploration, science, and observation provide opportunities for international cooperation to adapt to changing global conditions. KARI's strategies and management approaches can serve as models for emerging space programs.
The document discusses using project reviews to promote learning. It notes that project success rates remain low and reviews could help improve learning. The goal is to have a conversation about developing "learning-based project reviews" to make reviews more productive and view existing processes from a learning perspective. Key assumptions are that learning occurs throughout a project, reviews are connected to project delivery, and they can help teams learn at different levels. Formal reviews provide benefits but the right questions are needed to drive the right conversations.
The role of a Program Executive (PE) at NASA is multifaceted. PEs act as both an advocate for and enforcer of rules regarding their assigned projects. As an advocate, PEs defend projects, promote their science and success, and help navigate bureaucracy. As an enforcer, PEs ensure projects follow regulations and assess performance. Effective PEs build trust with projects and use communication and influence to jointly work towards the shared goal of mission success.
One hundred rules for nasa project managersAndreea Mocanu
This document summarizes 100 rules for NASA project managers collected by Jerry Madden over his career at NASA. The rules cover many aspects of project management including initial planning, communications, reviews, contractors, engineers, software, budgets, and failures. They emphasize the importance of understanding all aspects of a project, dealing with people respectfully, and being proactive rather than reactive in addressing challenges that arise. The rules are intended to distill practical lessons from experience and ensure high standards of integrity and excellence in project outcomes.
This document summarizes simulation work done to optimize the design of a power liftgate subsystem for an SUV. The optimization aimed to reduce weight while meeting structural requirements. Topology optimization of the inner panel identified critical areas for reinforcement. Gauge optimization of reinforcements and plates reduced weight by 1.5 kg compared to the baseline, while still satisfying requirements for both manual and power liftgate loading conditions. The optimized design merged two reinforcements into one component, saving on manufacturing costs.
The document discusses conducting a successful Integrated Baseline Review (IBR). It describes the purpose of an IBR as achieving mutual understanding of the project's performance measurement baseline and identifying and addressing risks early. It outlines important objectives for a successful IBR such as ensuring the technical scope of work and resources are adequate. The document then discusses preparation steps, execution including team composition and roles, and post-IBR activities like documenting a risk response plan and establishing management processes.
The document discusses integrating NASA technical standards with the NASA lessons learned program to improve interoperability between the two systems. It provides an overview of the technical standards program and lessons learned program, and demonstrates how linking related standards and lessons learned entries can increase their value to NASA users. The integration is aimed at improving search capabilities and bidirectional navigation between standards and lessons to enhance visibility of relevant content.
KARI Space Project Management in a Changing Global Environment
The global space economy has continued growing despite economic crises, reaching $276.5 billion in 2010. Korea's space economy fluctuates depending on government projects. KARI has four launches scheduled for 2012 that will evaluate its project management abilities. Space exploration, science, and observation provide opportunities for international cooperation to adapt to changing global conditions. KARI's strategies and management approaches can serve as models for emerging space programs.
The document discusses using project reviews to promote learning. It notes that project success rates remain low and reviews could help improve learning. The goal is to have a conversation about developing "learning-based project reviews" to make reviews more productive and view existing processes from a learning perspective. Key assumptions are that learning occurs throughout a project, reviews are connected to project delivery, and they can help teams learn at different levels. Formal reviews provide benefits but the right questions are needed to drive the right conversations.
The role of a Program Executive (PE) at NASA is multifaceted. PEs act as both an advocate for and enforcer of rules regarding their assigned projects. As an advocate, PEs defend projects, promote their science and success, and help navigate bureaucracy. As an enforcer, PEs ensure projects follow regulations and assess performance. Effective PEs build trust with projects and use communication and influence to jointly work towards the shared goal of mission success.
One hundred rules for nasa project managersAndreea Mocanu
This document summarizes 100 rules for NASA project managers collected by Jerry Madden over his career at NASA. The rules cover many aspects of project management including initial planning, communications, reviews, contractors, engineers, software, budgets, and failures. They emphasize the importance of understanding all aspects of a project, dealing with people respectfully, and being proactive rather than reactive in addressing challenges that arise. The rules are intended to distill practical lessons from experience and ensure high standards of integrity and excellence in project outcomes.
- DrivePy is a physics-based model developed by NREL to predict the weights of key wind turbine drivetrain components like the hub, gearbox, and bedplate based on the underlying physics rather than scaling relationships.
- To validate DrivePy, Taylor Parsons is gathering turbine component data, performing structural analysis on simple geometries and industry turbines, and comparing DrivePy results to empirical data and structural analysis results.
- Preliminary structural analysis of low speed shaft models in ANSYS has identified limitations in DrivePy's original Euler-Bernoulli beam theory, leading to adoption of Timoshenko beam theory for improved accuracy. Further model validation work is ongoing.
This document is a project report submitted by three students (Amit Kumar, Ankit Singh, and Sushant Bhadkamkar) for their Bachelor of Engineering degree in Computer Science. The report describes their work on a parallel computing cluster called Parallex. Parallex aims to create a high-performance computing system without requiring modifications to operating system kernels. It allows different operating systems and processor architectures to work together in parallel without using existing parallel libraries. The students implemented new distribution algorithms and parallel algorithms for Parallex to make administration and usage simple while maintaining efficiency.
Description for power system engineering training
The Power System Engineering training course will help you to understand the basic concepts of power system engineering and how to start a successful career in power engineering. Furthermore, you will learn the fundamentals of electrical systems, transient and steady state analysis, main components of power systems, electrical machines, high voltage direct current system, active/reactive power control in power systems and power system operation.
# Who should attend the TONEX’s Power Systems Engineering training and seminars?
1.Power System Engineers
2.Electric Power Utility Engineers
3.Technicians
4.Test Engineers
5.Protection and Control Engineers
6.Engineers Seeking PDH
#The audience in Power System engineering training course you will also learn about:
1.Power system planning and advanced applications
2.Power systems design
3.Power engineering
4.System safety engineering
5.Power Markets, Energy Economics and Strategic Planning
6.Emerging Generation Technologies
7.Dynamic/static loads
8.Synchronous/induction motors
9.Synchronous/induction generators
10.Solar generation
11.Wind generation
Visit Tonex.com to learn more about Power System Engineering Training
https://www.tonex.com/training-courses/power-system-engineering-training/
This chapter discusses various classification attributed to parallel architectures. It also introduces related parallel programming models and presents the actions of these models on parallel architectures. Notions such as Data parallelism Task parallelism, Tighty and Coupled system, UMA/NUMA, Multicore computing, Symmetric multiprocessing, Distributed Computing, Cluster computing, Shared memory without thread/Thread, etc..
To minimize energy consumption in virtualization based on a computing cloudArumugam Reddy
• In this paper, I am investigate the burstiness-aware server consolidation problem from the perspective of resource reservation, i.e., reserving a certain amount of extra resources on each PM to avoid live migrations, and propose a novel server consolidation algorithm, QUEUE. QUEUE improves the consolidation ratio by up to 45 percent with large spike size and around 30 percent with normal spike size compared with the strategy that provisions for peak workload, and achieves a better balance between performance and energy consumption in comparison with other commonly-used consolidation algorithms.
Simplifying MBSE Tasks with Capella and MapleMBSEObeo
Discover how to use Excel-based interfaces to collaborate on Capella models
MapleMBSE 2020.1 adds support for Capella. Organizations using Capella can now edit models within MapleMBSE, allowing them to simplify MBSE tasks and increase engagement with MBSE processes at their company.
During this webinar, you will see how to work with a Capella systems model using MapleMBSE
The demonstration will highlight how all stakeholders can collaborate through the systems model using task-specific, Excel-based interfaces found in MapleMBSE.
DYNAMIC TASK SCHEDULING ON MULTICORE AUTOMOTIVE ECUSVLSICS Design
The document summarizes a proposed dynamic task scheduling algorithm for multicore engine control units in automobiles. The algorithm aims to maximize CPU utilization, minimize preemption overhead and average waiting time, and ensure all tasks meet real-time deadlines. It involves calculating the slack (period - worst case execution time) for each task and assigning dynamic priorities based on least slack. Tasks are dispatched to local queues on each core based on availability. When new tasks arrive, slacks are compared to order tasks and potentially migrate tasks between cores to reduce deadline misses. Simulation results show the dynamic approach achieves 100% CPU utilization and ensures all tasks meet deadlines, whereas the static priority approach results in some tasks missing deadlines.
Dynamic task scheduling on multicore automotive ec usVLSICS Design
Automobile manufacturers are controlled by stringent govt. regulations for safety and fuel emissions and
motivated towards adding more advanced features and sophisticated applications to the existing electronic
system. Ever increasing customer’s demands for high level of comfort also necessitate providing even more
sophistication in vehicle electronics system. All these, directly make the vehicle software system more
complex and computationally more intensive. In turn, this demands very high computational capability of
the microprocessor used in electronic control unit (ECU). In this regard, multicore processors have
already been implemented in some of the task rigorous ECUs like, power train, image processing and
infotainment. To achieve greater performance from these multicore processors, parallelized ECU software
needs to be efficiently scheduled by the underlaying operating system for execution to utilize all the
computational cores to the maximum extent possible and meet the real time constraint. In this paper, we
propose a dynamic task scheduler for multicore engine control ECU that provides maximum CPU
utilization, minimized preemption overhead, minimum average waiting time and all the tasks meet their
real time deadlines while compared to the static priority scheduling suggested by Automotive Open Systems
Architecture (AUTOSAR).
DYNAMIC TASK SCHEDULING ON MULTICORE AUTOMOTIVE ECUSVLSICS Design
Automobile manufacturers are controlled by stringent govt. regulations for safety and fuel emissions and
motivated towards adding more advanced features and sophisticated applications to the existing electronic
system. Ever increasing customer’s demands for high level of comfort also necessitate providing even more
sophistication in vehicle electronics system. All these, directly make the vehicle software system more
complex and computationally more intensive. In turn, this demands very high computational capability of
the microprocessor used in electronic control unit (ECU). In this regard, multicore processors have
already been implemented in some of the task rigorous ECUs like, power train, image processing and
infotainment. To achieve greater performance from these multicore processors, parallelized ECU software
needs to be efficiently scheduled by the underlaying operating system for execution to utilize all the
computational cores to the maximum extent possible and meet the real time constraint. In this paper, we
propose a dynamic task scheduler for multicore engine control ECU that provides maximum CPU
utilization, minimized preemption overhead, minimum average waiting time and all the tasks meet their
real time deadlines while compared to the static priority scheduling suggested by Automotive Open Systems
Architecture (AUTOSAR).
Is accurate system-level power measurement challenging? Check this out!Deepak Shankar
The most common method of computing power of a system or semiconductor is with spreadsheets. Spreadsheets generates worst case power consumption and, in most cases, is insufficient to make architecture decisions. Accurate power measurement requires knowledge of use-cases, processing time, resource consumption and any transitions. Doing this at the RTL-level or using software tools is both too late and requires huge model construction effort. Based on our experience, a systems-level model with timing, power and functionality is the only real solution to measure accurate power consumption. Unfortunately, system-level models are hard to construct because of the complex expressions, right-level of abstraction and defining the right workload. Fortunately, there is a solution that enables to you to build functional models that can generate accurate power measures. These measurements can be used to make architecture decisions, conduct performance-power trade-off, determining power management quality, and compliance with requirements.
During this Presentation, we will demonstrate how system-level power modeling and measurement works. We shall go over the requirements to create the model, what outputs to capture and how to ensure accuracy. During the presentation, the speaker will demonstrate real-life examples, share best practices, and compare with real hardware. This presentation will cover power from the perspective of semiconductor, systems and embedded software.
Simulation of Heterogeneous Cloud InfrastructuresCloudLightning
During the last years, except from the traditional CPU based hardware servers, hardware accelerators are widely used in various HPC application areas. More specifically, Graphics Processing Units (GPUs), Many Integrated Cores (MICs) and Field-Programmable Gate Arrays (FPGAs) have shown a great potential in HPC and have been widely mobilised in supercomputing and in HPC-Clouds. This presentation focuses on the development of a cloud simulation framework that supports hardware accelerators. The design and implementation of the framework are also discussed.
This presentation was given by Dr. Konstantinos Giannoutakis (CERTH) at the CloudLightning Conference on 11th April 2017.
Motor Design Ltd develops Motor-CAD electric motor design software that uses multi-physics simulation to model electromagnetic, thermal, and mechanical behavior. It supports designing traction motors for electric vehicles by simulating performance over full operating ranges and duty cycles. Motor-CAD can be coupled with other tools to evaluate system interactions and optimize designs. Motor Design Ltd also provides consultancy services and conducts research on electric machines.
OOW16 - Getting Optimal Performance from Oracle E-Business Suite [CON6711]vasuballa
This Oracle Development session summarizes practical tips and lessons learned from performance tuning and benchmarking the world’s largest Oracle E-Business Suite environments. Application system administrators will get concrete tips and techniques for identifying and resolving performance bottlenecks on all layers of the technology stack. They will also learn how Oracle’s engineered systems such as Oracle Exadata and Oracle Exalogic can dramatically improve the performance of their system
Energy Storage - Hatch Innovative approach to cost reductionMichel Carreau
Hatch worked with a battery vendor to complete engineering for 300kW/1.2MWh battery energy storage systems at two mine test locations. Battery energy storage improves performance and efficiency of isolated diesel and wind/solar-diesel hybrid power systems by allowing diesel generators to operate at peak efficiency and providing frequency regulation and spinning reserve. It also improves stability and lowers costs for hybrid systems by turning off unnecessary diesels when clean power is available. Hatch develops optimized energy storage solutions to reduce operating costs with short payback periods.
Sida LEAP Training Lecture #3 and #4: Energy Supply and Emissions ModelingweADAPT
Eight lectures were delivered in 2021 as a series of webinars organized by SEI, with support from the Swedish International Development Cooperation agency (Sida). Delivered by Jason Veysey and Charlotte Wagner of SEI.
This presentation is for lectures #3 and 4: Energy Supply and Emissions Modeling.
Find out more about this course here: https://www.weadapt.org/knowledge-base/synergies-between-adaptation-and-mitigation/introductory-low-emissions-analysis-platform-leap-training-course-2021
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...ijesajournal
Task intensive electronic control units (ECUs) in automotive domain, equipped with multicore processors ,
real time operating systems (RTOSs) and various application software, should perform efficiently and time
deterministically. The parallel computational capability offered by this multicore hardware can only be
exploited and utilized if the ECU application software is parallelized. Having provided with such
parallelized software, the real time operating system scheduler component should schedule the time critical
tasks so that, all the computational cores are utilized to a greater extent and the safety critical deadlines
are met. As original equipment manufacturers (OEMs) are always motivated towards adding more
sophisticated features to the existing ECUs, a large number of task sets can be effectively scheduled for
execution within the bounded time limits. In this paper, a hybrid scheduling algorithm has been proposed,
that meticulously calculates the running slack of every task and estimates the probability of meeting
deadline either being in the same partitioned queue or by migrating to another. This algorithm was run and
tested using a scheduling simulator with different real time task models of periodic tasks . This algorithm
was also compared with the existing static priority scheduler, which is suggested by Automotive Open
Systems Architecture (AUTOSAR). The performance parameters considered here are, the % of core
utilization, average response time and task deadline missing rate. It has been verified that, this proposed
algorithm has considerable improvements over the existing partitioned static priority scheduler based on
each performance parameter mentioned above.
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...ijesajournal
This document proposes a hybrid scheduling algorithm for real-time critical tasks in multicore automotive ECUs. It describes the existing static priority and partitioned scheduling approach used in AUTOSAR that has issues like poor core utilization and low priority tasks missing deadlines. The proposed algorithm uses both global and partitioned queues, allows task migration, and prioritizes tasks based on their slack (period minus remaining execution time). It was tested on a simulation tool using different task models and showed improvements over the existing approach in core utilization, average response time, and deadline missing rates.
The document discusses flexible multibody dynamics and simulation. It covers topics like kinematic and dynamic analysis of multi-body systems, types of multibody dynamic analyses including forward and inverse dynamics, using simulation tools to model flexible bodies and their interactions, incorporating constraints and contacts between bodies, and using simulations to analyze complex mechanical systems with multiple degrees of freedom like vehicles and machinery.
The document compares the operational complexity and costs of the Space Shuttle versus the Sea Launch Zenit rocket. [1] The Space Shuttle was designed for performance but not operational efficiency, resulting in costly ground, mission planning, and flight operations. [2] In contrast, the Zenit rocket was designed from the start to have automated and robust processes to keep operations simple and costs low. [3] The key lesson is that designing a launch system with operational requirements in mind from the beginning leads to much more efficient operations long-term.
The document provides an overview of project management and procurement at NASA. It discusses the key skills required for project managers, including acquisition management. It notes that 80-85% of NASA's budget is spent on contracts, and procurement processes are complex and constantly changing. The document outlines some common contract types and how they allocate risk between the government and contractor. It also discusses the relationship between contracting officers and project managers, and how successful procurement requires effective communication rather than direct control or authority.
- DrivePy is a physics-based model developed by NREL to predict the weights of key wind turbine drivetrain components like the hub, gearbox, and bedplate based on the underlying physics rather than scaling relationships.
- To validate DrivePy, Taylor Parsons is gathering turbine component data, performing structural analysis on simple geometries and industry turbines, and comparing DrivePy results to empirical data and structural analysis results.
- Preliminary structural analysis of low speed shaft models in ANSYS has identified limitations in DrivePy's original Euler-Bernoulli beam theory, leading to adoption of Timoshenko beam theory for improved accuracy. Further model validation work is ongoing.
This document is a project report submitted by three students (Amit Kumar, Ankit Singh, and Sushant Bhadkamkar) for their Bachelor of Engineering degree in Computer Science. The report describes their work on a parallel computing cluster called Parallex. Parallex aims to create a high-performance computing system without requiring modifications to operating system kernels. It allows different operating systems and processor architectures to work together in parallel without using existing parallel libraries. The students implemented new distribution algorithms and parallel algorithms for Parallex to make administration and usage simple while maintaining efficiency.
Description for power system engineering training
The Power System Engineering training course will help you to understand the basic concepts of power system engineering and how to start a successful career in power engineering. Furthermore, you will learn the fundamentals of electrical systems, transient and steady state analysis, main components of power systems, electrical machines, high voltage direct current system, active/reactive power control in power systems and power system operation.
# Who should attend the TONEX’s Power Systems Engineering training and seminars?
1.Power System Engineers
2.Electric Power Utility Engineers
3.Technicians
4.Test Engineers
5.Protection and Control Engineers
6.Engineers Seeking PDH
#The audience in Power System engineering training course you will also learn about:
1.Power system planning and advanced applications
2.Power systems design
3.Power engineering
4.System safety engineering
5.Power Markets, Energy Economics and Strategic Planning
6.Emerging Generation Technologies
7.Dynamic/static loads
8.Synchronous/induction motors
9.Synchronous/induction generators
10.Solar generation
11.Wind generation
Visit Tonex.com to learn more about Power System Engineering Training
https://www.tonex.com/training-courses/power-system-engineering-training/
This chapter discusses various classification attributed to parallel architectures. It also introduces related parallel programming models and presents the actions of these models on parallel architectures. Notions such as Data parallelism Task parallelism, Tighty and Coupled system, UMA/NUMA, Multicore computing, Symmetric multiprocessing, Distributed Computing, Cluster computing, Shared memory without thread/Thread, etc..
To minimize energy consumption in virtualization based on a computing cloudArumugam Reddy
• In this paper, I am investigate the burstiness-aware server consolidation problem from the perspective of resource reservation, i.e., reserving a certain amount of extra resources on each PM to avoid live migrations, and propose a novel server consolidation algorithm, QUEUE. QUEUE improves the consolidation ratio by up to 45 percent with large spike size and around 30 percent with normal spike size compared with the strategy that provisions for peak workload, and achieves a better balance between performance and energy consumption in comparison with other commonly-used consolidation algorithms.
Simplifying MBSE Tasks with Capella and MapleMBSEObeo
Discover how to use Excel-based interfaces to collaborate on Capella models
MapleMBSE 2020.1 adds support for Capella. Organizations using Capella can now edit models within MapleMBSE, allowing them to simplify MBSE tasks and increase engagement with MBSE processes at their company.
During this webinar, you will see how to work with a Capella systems model using MapleMBSE
The demonstration will highlight how all stakeholders can collaborate through the systems model using task-specific, Excel-based interfaces found in MapleMBSE.
DYNAMIC TASK SCHEDULING ON MULTICORE AUTOMOTIVE ECUSVLSICS Design
The document summarizes a proposed dynamic task scheduling algorithm for multicore engine control units in automobiles. The algorithm aims to maximize CPU utilization, minimize preemption overhead and average waiting time, and ensure all tasks meet real-time deadlines. It involves calculating the slack (period - worst case execution time) for each task and assigning dynamic priorities based on least slack. Tasks are dispatched to local queues on each core based on availability. When new tasks arrive, slacks are compared to order tasks and potentially migrate tasks between cores to reduce deadline misses. Simulation results show the dynamic approach achieves 100% CPU utilization and ensures all tasks meet deadlines, whereas the static priority approach results in some tasks missing deadlines.
Dynamic task scheduling on multicore automotive ec usVLSICS Design
Automobile manufacturers are controlled by stringent govt. regulations for safety and fuel emissions and
motivated towards adding more advanced features and sophisticated applications to the existing electronic
system. Ever increasing customer’s demands for high level of comfort also necessitate providing even more
sophistication in vehicle electronics system. All these, directly make the vehicle software system more
complex and computationally more intensive. In turn, this demands very high computational capability of
the microprocessor used in electronic control unit (ECU). In this regard, multicore processors have
already been implemented in some of the task rigorous ECUs like, power train, image processing and
infotainment. To achieve greater performance from these multicore processors, parallelized ECU software
needs to be efficiently scheduled by the underlaying operating system for execution to utilize all the
computational cores to the maximum extent possible and meet the real time constraint. In this paper, we
propose a dynamic task scheduler for multicore engine control ECU that provides maximum CPU
utilization, minimized preemption overhead, minimum average waiting time and all the tasks meet their
real time deadlines while compared to the static priority scheduling suggested by Automotive Open Systems
Architecture (AUTOSAR).
DYNAMIC TASK SCHEDULING ON MULTICORE AUTOMOTIVE ECUSVLSICS Design
Automobile manufacturers are controlled by stringent govt. regulations for safety and fuel emissions and
motivated towards adding more advanced features and sophisticated applications to the existing electronic
system. Ever increasing customer’s demands for high level of comfort also necessitate providing even more
sophistication in vehicle electronics system. All these, directly make the vehicle software system more
complex and computationally more intensive. In turn, this demands very high computational capability of
the microprocessor used in electronic control unit (ECU). In this regard, multicore processors have
already been implemented in some of the task rigorous ECUs like, power train, image processing and
infotainment. To achieve greater performance from these multicore processors, parallelized ECU software
needs to be efficiently scheduled by the underlaying operating system for execution to utilize all the
computational cores to the maximum extent possible and meet the real time constraint. In this paper, we
propose a dynamic task scheduler for multicore engine control ECU that provides maximum CPU
utilization, minimized preemption overhead, minimum average waiting time and all the tasks meet their
real time deadlines while compared to the static priority scheduling suggested by Automotive Open Systems
Architecture (AUTOSAR).
Is accurate system-level power measurement challenging? Check this out!Deepak Shankar
The most common method of computing power of a system or semiconductor is with spreadsheets. Spreadsheets generates worst case power consumption and, in most cases, is insufficient to make architecture decisions. Accurate power measurement requires knowledge of use-cases, processing time, resource consumption and any transitions. Doing this at the RTL-level or using software tools is both too late and requires huge model construction effort. Based on our experience, a systems-level model with timing, power and functionality is the only real solution to measure accurate power consumption. Unfortunately, system-level models are hard to construct because of the complex expressions, right-level of abstraction and defining the right workload. Fortunately, there is a solution that enables to you to build functional models that can generate accurate power measures. These measurements can be used to make architecture decisions, conduct performance-power trade-off, determining power management quality, and compliance with requirements.
During this Presentation, we will demonstrate how system-level power modeling and measurement works. We shall go over the requirements to create the model, what outputs to capture and how to ensure accuracy. During the presentation, the speaker will demonstrate real-life examples, share best practices, and compare with real hardware. This presentation will cover power from the perspective of semiconductor, systems and embedded software.
Simulation of Heterogeneous Cloud InfrastructuresCloudLightning
During the last years, except from the traditional CPU based hardware servers, hardware accelerators are widely used in various HPC application areas. More specifically, Graphics Processing Units (GPUs), Many Integrated Cores (MICs) and Field-Programmable Gate Arrays (FPGAs) have shown a great potential in HPC and have been widely mobilised in supercomputing and in HPC-Clouds. This presentation focuses on the development of a cloud simulation framework that supports hardware accelerators. The design and implementation of the framework are also discussed.
This presentation was given by Dr. Konstantinos Giannoutakis (CERTH) at the CloudLightning Conference on 11th April 2017.
Motor Design Ltd develops Motor-CAD electric motor design software that uses multi-physics simulation to model electromagnetic, thermal, and mechanical behavior. It supports designing traction motors for electric vehicles by simulating performance over full operating ranges and duty cycles. Motor-CAD can be coupled with other tools to evaluate system interactions and optimize designs. Motor Design Ltd also provides consultancy services and conducts research on electric machines.
OOW16 - Getting Optimal Performance from Oracle E-Business Suite [CON6711]vasuballa
This Oracle Development session summarizes practical tips and lessons learned from performance tuning and benchmarking the world’s largest Oracle E-Business Suite environments. Application system administrators will get concrete tips and techniques for identifying and resolving performance bottlenecks on all layers of the technology stack. They will also learn how Oracle’s engineered systems such as Oracle Exadata and Oracle Exalogic can dramatically improve the performance of their system
Energy Storage - Hatch Innovative approach to cost reductionMichel Carreau
Hatch worked with a battery vendor to complete engineering for 300kW/1.2MWh battery energy storage systems at two mine test locations. Battery energy storage improves performance and efficiency of isolated diesel and wind/solar-diesel hybrid power systems by allowing diesel generators to operate at peak efficiency and providing frequency regulation and spinning reserve. It also improves stability and lowers costs for hybrid systems by turning off unnecessary diesels when clean power is available. Hatch develops optimized energy storage solutions to reduce operating costs with short payback periods.
Sida LEAP Training Lecture #3 and #4: Energy Supply and Emissions ModelingweADAPT
Eight lectures were delivered in 2021 as a series of webinars organized by SEI, with support from the Swedish International Development Cooperation agency (Sida). Delivered by Jason Veysey and Charlotte Wagner of SEI.
This presentation is for lectures #3 and 4: Energy Supply and Emissions Modeling.
Find out more about this course here: https://www.weadapt.org/knowledge-base/synergies-between-adaptation-and-mitigation/introductory-low-emissions-analysis-platform-leap-training-course-2021
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...ijesajournal
Task intensive electronic control units (ECUs) in automotive domain, equipped with multicore processors ,
real time operating systems (RTOSs) and various application software, should perform efficiently and time
deterministically. The parallel computational capability offered by this multicore hardware can only be
exploited and utilized if the ECU application software is parallelized. Having provided with such
parallelized software, the real time operating system scheduler component should schedule the time critical
tasks so that, all the computational cores are utilized to a greater extent and the safety critical deadlines
are met. As original equipment manufacturers (OEMs) are always motivated towards adding more
sophisticated features to the existing ECUs, a large number of task sets can be effectively scheduled for
execution within the bounded time limits. In this paper, a hybrid scheduling algorithm has been proposed,
that meticulously calculates the running slack of every task and estimates the probability of meeting
deadline either being in the same partitioned queue or by migrating to another. This algorithm was run and
tested using a scheduling simulator with different real time task models of periodic tasks . This algorithm
was also compared with the existing static priority scheduler, which is suggested by Automotive Open
Systems Architecture (AUTOSAR). The performance parameters considered here are, the % of core
utilization, average response time and task deadline missing rate. It has been verified that, this proposed
algorithm has considerable improvements over the existing partitioned static priority scheduler based on
each performance parameter mentioned above.
AN EFFICIENT HYBRID SCHEDULER USING DYNAMIC SLACK FOR REAL-TIME CRITICAL TASK...ijesajournal
This document proposes a hybrid scheduling algorithm for real-time critical tasks in multicore automotive ECUs. It describes the existing static priority and partitioned scheduling approach used in AUTOSAR that has issues like poor core utilization and low priority tasks missing deadlines. The proposed algorithm uses both global and partitioned queues, allows task migration, and prioritizes tasks based on their slack (period minus remaining execution time). It was tested on a simulation tool using different task models and showed improvements over the existing approach in core utilization, average response time, and deadline missing rates.
The document discusses flexible multibody dynamics and simulation. It covers topics like kinematic and dynamic analysis of multi-body systems, types of multibody dynamic analyses including forward and inverse dynamics, using simulation tools to model flexible bodies and their interactions, incorporating constraints and contacts between bodies, and using simulations to analyze complex mechanical systems with multiple degrees of freedom like vehicles and machinery.
The document compares the operational complexity and costs of the Space Shuttle versus the Sea Launch Zenit rocket. [1] The Space Shuttle was designed for performance but not operational efficiency, resulting in costly ground, mission planning, and flight operations. [2] In contrast, the Zenit rocket was designed from the start to have automated and robust processes to keep operations simple and costs low. [3] The key lesson is that designing a launch system with operational requirements in mind from the beginning leads to much more efficient operations long-term.
The document provides an overview of project management and procurement at NASA. It discusses the key skills required for project managers, including acquisition management. It notes that 80-85% of NASA's budget is spent on contracts, and procurement processes are complex and constantly changing. The document outlines some common contract types and how they allocate risk between the government and contractor. It also discusses the relationship between contracting officers and project managers, and how successful procurement requires effective communication rather than direct control or authority.
The document introduces the NASA Engineering Network (NEN), which was created by the Office of the Chief Engineer to be a knowledge management system connecting NASA's engineering community. The NEN integrates various tools like a content management system, search engine, and collaboration tools. It provides access to key knowledge resources like NASA's Lessons Learned database and engineering databases. The NEN is working to expand by adding more communities, engineering disciplines, and knowledge repositories.
Laptops were first used in space in 1983 on the Space Shuttle, when Commander John Young brought the GRiD Compass portable computer on STS-9. Laptops are now widely used on the Space Shuttle and International Space Station for tasks like monitoring spacecraft systems, tracking satellites, inventory management, procedures viewing, and videoconferencing. Managing laptops in space presents challenges around cooling, power, and software/hardware compatibility in the harsh space environment.
Laptops were first used in space in 1983 on the Space Shuttle, when Commander John Young brought the GRiD Compass portable computer on STS-9. Laptops are now widely used on the Space Shuttle and International Space Station for tasks like monitoring spacecraft systems, planning rendezvous and proximity operations, inventory management, procedure reviews, and communication between space and ground via software like WorldMap and DOUG. Managing laptops in space presents challenges around hardware durability, cooling, and software/data management in the space environment.
This document discusses the use of market-based systems to allocate scarce resources for NASA missions and projects. It provides examples of how market-based approaches were used for instrument development for the Cassini mission, manifesting secondary payloads on the space shuttle, and mission planning for the LightSAR Earth imaging satellite project. The document finds that these applications of market-based allocation benefited or could have benefited from a decentralized, incentive-based approach compared to traditional centralized planning methods. However, it notes that resistance to new approaches and loss of managerial control are barriers to adoption of market-based systems.
The Stardust mission collected samples from comet Wild 2 and interstellar dust particles. It launched in February 1999 and encountered Wild 2 in January 2004, collecting dust samples in aerogel. It returned the samples to Earth safely in January 2006. The spacecraft used an innovative Whipple shield to protect itself from comet dust impacts during the encounter. Analysis of the Stardust samples has provided insights about comet composition and the early solar system.
This document discusses solutions for integrating schedules on NASA programs. It introduces Stuart Trahan's company, which provides Earned Value Management (EVM) solutions using Microsoft Office Project that comply with OMB and ANSI requirements. It also introduces a partner company, Pinnacle Management Systems, that specializes in enterprise project management solutions including EVM, project portfolio management, and enterprise project resource management, with experience in the aerospace, defense, and other industries. The document defines schedule integration and describes some methods including importing to a centralized Primavera database for review or using Primavera ProjectLink for updates, and challenges including inconsistent data formats and levels of detail across sub-schedules.
The document discusses NASA's implementation of earned value management (EVM) across its Constellation Program to coordinate work across multiple teams. It outlines the organizational structure, current target groups, and an EVM training suite. It also summarizes lessons learned and the need for project/center collaboration to integrate schedules horizontally and vertically.
This document summarizes a presentation about systems engineering processes for principle investigator (PI) mode missions. It discusses how PI missions face special challenges due to cost caps and lower technology readiness levels. It then outlines various systems engineering techniques used for PI missions, including safety compliance, organizational communication, design tools, requirements management, and lessons learned from past missions. Specific case studies from NASA's Explorers Program Office are provided as examples.
This document discusses changes to NASA's business practices for managing projects, including adopting a new acquisition strategy approach and implementing planning, programming, and budget execution (PPBE). The new acquisition strategy involves additional approval meetings at the strategic planning and project levels to better integrate acquisition with strategic and budgetary planning. PPBE focuses on analyzing programs and infrastructure to align with strategic goals and answer whether proposed programs will help achieve NASA's mission. The document also notes improvements in funds distribution and inter-center transfers, reducing the time for these processes from several weeks to only a few days.
Spaceflight Project Security: Terrestrial and On-Orbit/Mission
The document discusses security challenges for spaceflight projects, including protecting space assets from disruption, exploitation, or attack. It highlights national space policy principles of protecting space capabilities. It also discusses trends in cyber threats, including the increasing capabilities of adversaries and how even unskilled attackers can compromise terrestrial support systems linked to space assets if defenses are not strong. Protecting space projects requires awareness of threats, vulnerabilities, and strategies to defend, restore, and increase situational awareness of space assets and supporting systems.
Humor can positively impact many aspects of project management. It can improve communication, aid in team building, help detect team morale issues, and influence leadership, conflict management, negotiation, motivation, and problem solving. While humor has benefits, it also has risks and not all uses of humor are positive. Future research is needed on humor in multicultural teams, its relationship to team performance, how humor is learned, and determining optimal "doses" of humor. In conclusion, humor is a tool that can influence people and projects, but must be used carefully and spontaneously for best effect.
The recovery of Space Shuttle Columbia after its loss in 2003 involved a massive multi-agency effort to search a wide debris field, recover crew remains and evidence, and compensate local communities. Over 25,000 people searched over 680,000 acres, recovering 38% of Columbia's weight. Extensive engineering investigations were conducted to identify the causes of failure and implement changes to allow the safe return to flight of Discovery in 2005.
This document summarizes research on enhancing safety culture at NASA. It describes a survey developed to assess NASA's safety culture based on principles of high reliability organizations. The survey was tailored specifically for NASA and has been implemented to provide feedback and identify areas for improvement. It allows NASA to benchmark its safety culture within and across other industries pursuing high reliability.
This document summarizes a presentation about project management challenges at NASA Goddard Space Flight Center. The presentation outlines a vision for anomaly management, including establishing consistent problem reporting and analysis processes across all missions. It describes the current problem management approach, which lacks centralized information sharing. The presentation aims to close this gap by implementing online problem reporting and trend analysis tools to extract lessons learned across missions over time. This will help improve spacecraft design and operations based on ongoing anomaly experiences.
This document discusses leveraging scheduling productivity with practical scheduling techniques. It addresses scheduling issues such as unwieldy schedule databases and faulty logic. It then discusses taming the schedule beast through using a scheduler's toolkit, schedule templates, codes to manipulate MS Project data, common views/filters/tables, limiting constraints, and other best practices. The document provides examples of using codes and custom views/filters to effectively organize and display schedule information.
This document describes Ball Aerospace's implementation of a Life Cycle and Gated Milestone (LCGM) process to improve program planning, execution, and control across its diverse portfolio. The LCGM provides a standardized yet flexible framework that maps out program activities and products across phases. It was developed through cross-functional collaboration and introduced gradually across programs while allowing flexibility. Initial results showed the LCGM supported improved planning and management while aligning with Ball Aerospace's entrepreneurial culture.
This document discusses the importance of situation awareness (SA) for project team members. It defines SA as having three levels: perception of elements in the current situation, comprehension of the current situation, and projection of the future status. Good team SA is achieved by turning individual SAs into shared SA through communication. Teams with strong SA prepare more, focus on comprehending and projecting, and maintain awareness through techniques like questioning assumptions and seeking additional information.
This document discusses theories of leadership and how a project manager's leadership style may impact project success depending on the type of project. It outlines early hypotheses that a PM's competence, including leadership style, is a success factor on projects. It presents a research model linking PM leadership competencies to project success, moderated by factors like project type. Initial interviews found that leadership style is more important on complex projects, and different competencies are needed depending on if a project is technical or involves change. Certain competencies like communication skills and cultural sensitivity were seen as important for different project types and contexts.
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
rankings in rapid time despite having health concerns and limited
color choices.”
NIMA2024 | De toegevoegde waarde van DEI en ESG in campagnes | Nathalie Lam |...BBPMedia1
Nathalie zal delen hoe DEI en ESG een fundamentele rol kunnen spelen in je merkstrategie en je de juiste aansluiting kan creëren met je doelgroep. Door middel van voorbeelden en simpele handvatten toont ze hoe dit in jouw organisatie toegepast kan worden.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
Discover innovative uses of Revit in urban planning and design, enhancing city landscapes with advanced architectural solutions. Understand how architectural firms are using Revit to transform how processes and outcomes within urban planning and design fields look. They are supplementing work and putting in value through speed and imagination that the architects and planners are placing into composing progressive urban areas that are not only colorful but also pragmatic.
The Steadfast and Reliable Bull: Taurus Zodiac Signmy Pandit
Explore the steadfast and reliable nature of the Taurus Zodiac Sign. Discover the personality traits, key dates, and horoscope insights that define the determined and practical Taurus, and learn how their grounded nature makes them the anchor of the zodiac.
Garments ERP Software in Bangladesh _ Pridesys IT Ltd.pdfPridesys IT Ltd.
Pridesys Garments ERP is one of the leading ERP solution provider, especially for Garments industries which is integrated with
different modules that cover all the aspects of your Garments Business. This solution supports multi-currency and multi-location
based operations. It aims at keeping track of all the activities including receiving an order from buyer, costing of order, resource
planning, procurement of raw materials, production management, inventory management, import-export process, order
reconciliation process etc. It’s also integrated with other modules of Pridesys ERP including finance, accounts, HR, supply-chain etc.
With this automated solution you can easily track your business activities and entire operations of your garments manufacturing
proces
Ellen Burstyn: From Detroit Dreamer to Hollywood Legend | CIO Women MagazineCIOWomenMagazine
In this article, we will dive into the extraordinary life of Ellen Burstyn, where the curtains rise on a story that's far more attractive than any script.
Call8328958814 satta matka Kalyan result satta guessing➑➌➋➑➒➎➑➑➊➍
Satta Matka Kalyan Main Mumbai Fastest Results
Satta Matka ❋ Sattamatka ❋ New Mumbai Ratan Satta Matka ❋ Fast Matka ❋ Milan Market ❋ Kalyan Matka Results ❋ Satta Game ❋ Matka Game ❋ Satta Matka ❋ Kalyan Satta Matka ❋ Mumbai Main ❋ Online Matka Results ❋ Satta Matka Tips ❋ Milan Chart ❋ Satta Matka Boss❋ New Star Day ❋ Satta King ❋ Live Satta Matka Results ❋ Satta Matka Company ❋ Indian Matka ❋ Satta Matka 143❋ Kalyan Night Matka..
Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
Digital Marketing with a Focus on Sustainabilitysssourabhsharma
Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
Industrial Tech SW: Category Renewal and CreationChristian Dahlen
Every industrial revolution has created a new set of categories and a new set of players.
Multiple new technologies have emerged, but Samsara and C3.ai are only two companies which have gone public so far.
Manufacturing startups constitute the largest pipeline share of unicorns and IPO candidates in the SF Bay Area, and software startups dominate in Germany.
Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
❼❷⓿❺❻❷❽❷❼❽ Dpboss Matka Result Satta Matka Guessing Satta Fix jodi Kalyan Final ank Satta Matka Dpbos Final ank Satta Matta Matka 143 Kalyan Matka Guessing Final Matka Final ank Today Matka 420 Satta Batta Satta 143 Kalyan Chart Main Bazar Chart vip Matka Guessing Dpboss 143 Guessing Kalyan night
SATTA MATKA SATTA FAST RESULT KALYAN TOP MATKA RESULT KALYAN SATTA MATKA FAST RESULT MILAN RATAN RAJDHANI MAIN BAZAR MATKA FAST TIPS RESULT MATKA CHART JODI CHART PANEL CHART FREE FIX GAME SATTAMATKA ! MATKA MOBI SATTA 143 spboss.in TOP NO1 RESULT FULL RATE MATKA ONLINE GAME PLAY BY APP SPBOSS
Dive into this presentation and learn about the ways in which you can buy an engagement ring. This guide will help you choose the perfect engagement rings for women.
1. National Aeronautics and Space Administration
Lessons in Systems
Engineering –
The SSME Weight
Growth History
Richard Ryan
Technical Specialist, MSFC Chief Engineers Office
2. History of Design: Pre-Industrial Revolution
• Classic Cathedral Design and Construction
representative of the complexity of the era
• Design and construction managed by Master Mason
– All Knowing
• Knew and could practice all the design and
construction skills necessary to produce the
magnificent cathedrals
– Understood the physics associated with the
cathedral design
• Life long endeavor
• Trained / apprenticed his replacement
• Tools, Processes, Skills acquired through
experience
– Processes alone could not substitute for
experience
2
3. History of Design: Post-Industrial Revolution
• The complexity system designs increased and became too
much for one person to know
• Systems engineering developed in an attempt to manage
these complex designs
– “…the initial formalization of the systems engineering
process for military development began to surface in the
mid-1950’s on the ballistic missile programs.” (SP6102
Readings in Systems Engineering, 1993, p.9)
– Later evolution included the development of Integrated
Product Teams, Product Development Teams, etc
– Group becomes “all knowing”: Collectively contains the
knowledge, skills and experience to produce products
– Biggest challenge for SE is to make sure that the “Group
Communication System” functions otherwise “all
knowing” of the team fails
3
4. Systems Engineering: What Is It?
• From SP-6102
– “Systems engineering is the management function which
controls the total system development effort for the purpose of
achieving an optimum balance of all system elements. It is a
process which transforms an operational need into a
description of system parameters and integrates those
parameters to optimize the overall system effectiveness.”
• Purpose of SE then is to create a complex product that
meets all requirements through a methodology that focuses
on an integrated design that emphasizes balancing risk
between all subsystems and components
– The effect should be an optimized system but made up of sub-
optimized subsystems and components
4
5. Systems Engineering Functions
• SE Functions can be grouped into three categories
– Classical Systems Engineering focused on processes,
procedures, configuration and data management control, etc
– Project control focused on cost and schedule
– Technical Integration focused on the interactions among all the
compartmentalized hardware, design, and discipline areas
reintegrating them into a verifiable and operable system that
meets requirements in a balanced state.
• Master Mason was responsible for all three
• Today, there is a tendency to focus only on the first two
assuming that the processes and procedures can
compensate for lack of experience, training and the complex
interactions between subsystems / components
5
6. Systems Engineering: Why We Ignore Technical
Integration
• Strong tendency to view systems engineering as only the
processes that bring the designed parts together
(integration) rather than creating “Integrated Designs”
– It is based on an assumption that the system can be broken
apart expecting linearity and handle everything by defining
pertinent requirements, defining and managing interfaces,
design data flow and then designing the parts (Classical SE).
• Then when the system is put back together it will perform ok.
• It is a false assumption because there are many interactions,
linear and nonlinear, in a complex “system” causing the
parts to perform different together than apart.
– It also assumes design development is serial and not iterative
in nature
– This approach also tends to neglect the communication needs
of the “Group Knowledge”
6
7. Systems Engineering: Achieving a Balanced
Integrated Design
• So, the systems engineer for an integrated design is
responsible for and concerned with getting all interacting
disciplines into a balanced state using uncertainties,
sensitivities, risks, and programmatics (cost and schedule)
– Part of that task is to also insure that all the discipline models,
simulations, technology base, etc are at the appropriate
maturity level so that an accurate trade space can be
determined
– Systems engineer does not replace the Master Mason but
ensures that the necessary communication takes place in the
SE process along with the necessary skills and tools to utilize
the “Group Knowledge” in creating a balanced integrated
design
– The “Group Knowledge” provides the needed “understanding of
the physics” associated with the complex system design
7
8. A Balanced Design
• Achieving a balanced design is about “spreading the pain”
• Balance needs to be achieved early in the design process
usually by the conceptual design review because the impact
is almost always already set
• Metrics for balanced design
– Risk: cost, schedule, technical
– Margins
– Uncertainties
– Sensitivities of design parameter
– Technology maturity level
• If low it is difficult to impossible to quantify the others above
• If balance not achieved programs / projects will experience
cost overruns, schedule slips or even failure
SSME Weight Story is a good example of what can go wrong if
the requirements, technology base and final systems design do
not balance early 8
9. Background: Elementary Rocket Science
• To fully appreciate the SSME weight growth story and the lessons
it teaches us about proper systems engineering we need to
understand some of the challenges of rocket design
• The vehicle must impart orbital energy to the payload.
– (Orbital energy is large -- h ~ 160 n.m. altitude, ΔV ~25,300 ft/s
• With current technology, this pushes propulsion, structures, and
systems capability to the limit.
• Payload size and mass drives launch vehicle performance
requirements.
9
10. Background: Elementary Rocket Science
• Propulsion:
– Efficient conversion of chemical potential energy to kinetic energy (The
Space Shuttle Main Engine has an Isp of 452 s out of a potential 460 s)
– Vehicle Thrust to weight ratio at liftoff greater than 1.1
• Structures:
– Efficient/lightweight strong structures. Vehicle mass fraction around .90
• The ratio of the average skin thickness to the diameter of the Shuttle
External Tank is a factor of 3 less than that of an aluminum drink can.
• System Effects:
– Minimize losses during mission (Understand, quantify, control, and
manage)
All system elements being pushed to their limits creates a
constant “tug of war” that, if not carefully monitored, leads to
unbalance in the design
10
11. Liquid Pump-fed Main Engines
• Pump-fed liquid engines are one of the most complex and challenging
subsystems on the entire launch vehicle and present many systems
engineering challenges
• Pump-fed liquid engine design requires many of the same design functions
and analysis disciplines that the vehicle design uses
• Liquid rocket engines have much higher
power densities than more conventional SSME
transportation system engines HP/Wt = 879
• This creates extreme environments and SSME Fuel Turbopump
775 lb
stretches the limits of design and analysis 72,000 HP
capabilities HP/Wt = 93
100
SSME Ox Turbopump
575 lb
90
29,000 HP
HP/Wt = 50
Shaft Horsepower/Weight
80
70
Jet Engine
60
2,800 lb
Auto Engine Indy Engine 52,900 HP
50 370 lb 275 lb HP/Wt = 18.9
200 HP 800 HP
40
HP/Wt = .54 HP/Wt = 2.91
30
20
10
0 11
12. Difficulty and Complexity of Liquid Rocket
Engines Are Reflected in Turbomachinery Design
• Turbopumps differ from conventional gas turbine engines in significant ways
Difficult Propellants Extreme Blade Loading
Material compatibility Up to 550 hp per blade
issues, cavitation, bearing
stresses, high heat fluxes,
heavier flanges, tighter
complex seals
Typical Pump Fed Rocket Engine Hydrogen
Item Turbopump Parameters (range depends on Jet Engine
engine cycle and application)
Petroleum
High Speeds Fuel Hydrogen
distillate
Bearing life,
Oxidizer Oxygen Air
rotordynamics issues
Operating speed (RPM) 20,000 to 36,000 15,000
Turbine blade tip speed (ft/sec) 1400 to 1850 1850
Turbine power density (HP/in^2) 2000 to 3200 394
Turbine inlet temperature (deg F) 1000 to 1600 2400
High Power Density Turbine heat transfer coef.
High power bending 20,000 to 54,000 500
stress, high work per unit (BTU/ft^2- hr-degF)
area, tight manufacturing Turbine thermal start/stop transients
1000 to 32,000 100
tolerances (deg F/sec)
Pump/compressor pressure rise (psi) 2000 to 7000 400 - 600
Pump dynamic pressure (psi) 500 to 2000 50 - 200
Uncooled Blades High Pressures High Thermal Strains
Limit inlet temperature, (static and dynamic) Very high thermal stress,
increase rotational High housing loads, low cycle fatigue,
speed and blade instabilities, high-cycle material limitations
turning fatigue
12
13. SSME Weight Growth History
First Flight
10000
Thrust Requirement up to 550K.
Weight previously scaled from 415K engine.
Due to re-evaluation, weight increase is not as large.
9000
Increase in nozzle Block II Configuration
tube walls to meet CEI Block IIA Configuration
safety factor.
Block I Configuration
Engine Weight (lbs)
8000
Lowering of thrust requirement Actual weight variance deduction
to 470K. Authority to proceed. due to actual engine weights.
Return to Flight Configuration
Customer addition of pogo
suppression system.
7000
Change in bookkeeping
philosophy.
Customer change to heat shield
increased nozzle structure.
6000
Customer addition of nozzle thermal protection.
Stress analysis on primary nozzle resulted in weight increase and subsequent nozzle redesign.
Machining of excess material.
Customer requirements change.
5000
11/24/70 11/23/72 11/23/74 11/22/76 11/22/78 11/21/80 11/21/82 11/20/84 11/20/86 11/19/88 11/19/90 11/18/92 11/18/94 11/17/96 11/17/98 11/16/00
Date
Challenge and Problem better understood by looking at engine thrust to weight ratio13
14. SSME Vacuum Thrust to Weight Ratio History
First Flight
• Early (1971) thrust to weight ratio predictions for the
90 SSME concepts were around 65 to 1
Machining of excess material. – Based on J-2 and F-1 technology base and some
advanced development with Air Force
Stress analysis on primary nozzle resulted in weight increase and subsequent nozzle redesign.
– Estimate was realistic and representative of
Customer addition of nozzle thermal protection.
80
achievable values
Customer change to heat shield increased nozzle structure.
Engine Vacuum Thrust to Weight Ratio
• As the Space Shuttle System design concept
Increase in nozzle
tubematured, weight became a serious problem driving
walls to meet CEI
safety factor.
the thrust to weight ratio requirements of the SSME
Change in bookkeeping
philosophy. Return to Flight Configuration
to 80 to 1
70 – The technology base did not support this requirement
– Massive development effort required to cut weight out
Customer requirements change. of theweight variance deduction
Actual engine
Lowering of thrust requirement • due to actual engineconstruction for most of the components
All welded weights.
to 470K.Authority to proceed.
60 • No weld lands I Configuration
Thrust increase from 470k
Block
Thrust Requirement up to 550K.
• Machining off all excess material
to 490k without weight
increase
Block IIA Configuration
– Additional performance enhancements to meet system
Block II Configuration
weight problem included trading engine life for
increased power level
50
11/24/70 11/23/72 11/23/74 11/22/76 11/22/78 11/21/80 11/21/82 11/20/84 11/20/86 11/19/88 11/19/90 thrust to 109% PL and 11/16/00
• Increased engine 11/18/92 11/18/94 11/17/96 11/17/98 cut design
Date
life from 100 to 55 missions 14
15. SSME Weight Problems
• As consequence of weight cuts and power level increase, engine
began experiencing many fatigue failures some resulting in
catastrophic engine failures during ground testing
– High cost of hardware losses, design changes and schedule slips
– In 1978, two alternating MSFC engineering teams of about 100 each
were established at Canoga Park and worked with a large team at
MSFC for 9 months to address these problems
– Instituted a fracture control survey of engine and identified many
problem areas
• Engine originally not designed for fracture control
• Fracture control team established permanently
• Lack of robustness in design lead to increased operations costs to
assure engine safety and reliability
15
16. SSME Solutions and Weight Growth
• In late 70’s as Shuttle System design began to solidify, weight was
offered up to the SSME project manager to fix problems by Shuttle
program manager
– SSME project manager put off weight increases to support first flight
date using current engine design with limited life and performance
• Believed that it was better to be flying at lower capability than to wait
until all capability was available (balancing political concerns)
– Weight was increased as new redesigned components were added as
block upgrades beginning in the mid to late 80’s and into the 90’s
• Major examples are Two Duct Hot Gas Manifold, Large Throat Main
Combustion Chamber, ATD High Pressure Oxidizer Turbopump,
ATD High Pressure Fuel Turbopump
• Weight could be added without impacting performance because the
Orbiter had to fly ballast in the back to offset a heavy nose section
– Increased engine weight just off loaded ballast
16
17. SSME Vacuum Thrust to Weight Ratio History
• Final engine T/W ratio essentially same as originally estimated but
final design was compromised because unrealistic requirements
set stage for constrained engine design
First Flight
90
Machining of excess material.
Stress analysis on primary nozzle resulted in weight increase and subsequent nozzle redesign.
Customer addition of nozzle thermal protection.
Customer change to heat shield increased nozzle structure.
Engine Vacuum Thrust to Weight Ratio
80
Increase in nozzle
tube walls to meet CEI
safety factor.
Change in bookkeeping
philosophy. Return to Flight Configuration
70
Customer requirements change.
Actual weight variance deduction
due to actual engine weights.
Lowering of thrust requirement
to 470K.Authority to proceed.
Block I Configuration
60
Thrust increase from 470k
to 490k without weight
Thrust Requirement up to 550K. Block IIA Configuration
increase
Block II Configuration
50
11/24/70 11/23/72 11/23/74 11/22/76 11/22/78 11/21/80 11/21/82 11/20/84 11/20/86 11/19/88 11/19/90 11/18/92 11/18/94 11/17/96 11/17/98 11/16/00
Date 17
18. Lesson Learned
• Absolutely critical that someone be responsible for the Integrated
Vehicle System Design (not just “integrating” pieces together) to
adequately balance the risks across all elements while decomposing the
requirements down to each element taking into account the varying
maturity levels of the technology base, the design of each and the
intricate interactions
– That “someone” is not a master mason but ensures that the “Group
Knowledge” of the design team provides the same function
• Shuttle system was designed with an immature technology base for
many of the subsystems
– Made it impossible to adequately balance risk by properly flowing down
requirements to these subsystems such as the SSME
– Cannot adequately measure risk, uncertainties, sensitivities, cost or
schedule if technology base is not demonstrated and understood
– Must fight external pressures to compromise on technical credibility
18
19. Lesson Learned Continued
• Pushing the envelope without margin or a robust design will result in
increased problems and non-optimum designs at significant cost
– SSME, while a magnificent machine, is not robust
– It took numerous design block changes with increased weight and
operations costs to reach the current level of maturity that is flying today
• Anticipating unknowns is essential because they will occur during
development no matter how mature the technology base or the design
concept
– Minimizing these unknown unknowns is accomplished through diligently
quantifying sensitivities, uncertainties and risks based on all identified
potential failure modes
19