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The SAWE Technical Library contains nearly 4000 technical papers available here for purchase and download. Use the search options below to find what you need.
Beyer, Mark In: 84th SAWE International Conference on Mass Properties Engineering, Society of Allied Weight Engineers, Inc., 2025. Abstract | Buy/Download | BibTeX | Tags: Cross Industry 3823. Agile RIO Weights Management Best Practices for Vehicle Development Beyer, Mark In: 84th SAWE International Conference on Mass Properties Engineering, Society of Allied Weight Engineers, Inc., 2025. Abstract | Buy/Download | BibTeX | Tags: Cross Industry 3786. Incorporating Non-Random Mass Properties Uncertainties Nakai, John In: 82nd Annual Conference, Cocoa Beach, Florida, pp. 74, Society of Allied Weight Engineers, Inc., Cocoa Beach, Florida, 2023. Abstract | Buy/Download | BibTeX | Tags: Cross Industry 3788. Next-Generation Weights Management Beyer, Mark; Graham, Victor In: 82nd Annual Conference, Cocoa Beach, Florida, pp. 16, Society of Allied Weight Engineers, Inc., Cocoa Beach, Florida, 2023. Abstract | Buy/Download | BibTeX | Tags: Cross Industry 3789. Efficient Algorithms for Computing Mass Properties of Finite Elements Beyer, Mark In: 82nd Annual Conference, Cocoa Beach, Florida, pp. 14, Society of Allied Weight Engineers, Inc., Cocoa Beach, Florida, 2023. Abstract | Buy/Download | BibTeX | Tags: Cross Industry2025
@inproceedings{3822,
title = {3822. Enabling Digital Transformation in Weights Management: A Unified Data Model for Industry-wide Integration},
author = {Mark Beyer},
url = {https://www.sawe.org/product/3822-enabling-digital-transformation/},
year = {2025},
date = {2025-05-22},
urldate = {2025-05-22},
booktitle = {84th SAWE International Conference on Mass Properties Engineering},
publisher = {Society of Allied Weight Engineers, Inc.},
abstract = {The increasing complexity of Weights Management across aerospace and related industries underscores the need for a unified and standardized approach to data modeling and nomenclature. This paper presents a comprehensive unified data model designed to address the unique challenges of weights management, establishing a robust foundation for digital transformation. By standardizing data definitions, harmonizing nomenclature, and implementing consistent validation processes, the model ensures seamless interoperability across systems and industries.
This forward-looking approach moves beyond conventional practices to embrace advanced tools and methodologies that enhance data integrity and streamline downstream processes. With applicability spanning aerospace, automotive, shipbuilding, and beyond, the proposed model serves as a blueprint for fostering collaboration and alignment among industry stakeholders.
The paper also highlights opportunities for the SAWE community to engage in partnerships that refine and expand this unified approach, creating a shared vision for the future of weights management. Ultimately, the unified data model serves as a cornerstone for driving industry-wide transformation, enabling innovative solutions that improve efficiency, reliability, and integration throughout the weights management lifecycle.},
keywords = {Cross Industry},
pubstate = {published},
tppubtype = {inproceedings}
}
This forward-looking approach moves beyond conventional practices to embrace advanced tools and methodologies that enhance data integrity and streamline downstream processes. With applicability spanning aerospace, automotive, shipbuilding, and beyond, the proposed model serves as a blueprint for fostering collaboration and alignment among industry stakeholders.
The paper also highlights opportunities for the SAWE community to engage in partnerships that refine and expand this unified approach, creating a shared vision for the future of weights management. Ultimately, the unified data model serves as a cornerstone for driving industry-wide transformation, enabling innovative solutions that improve efficiency, reliability, and integration throughout the weights management lifecycle.@inproceedings{3823,
title = {3823. Agile RIO Weights Management Best Practices for Vehicle Development},
author = {Mark Beyer},
url = {https://www.sawe.org/product/3823-agile-rio-weights-management/},
year = {2025},
date = {2025-05-20},
urldate = {2025-05-20},
booktitle = {84th SAWE International Conference on Mass Properties Engineering},
publisher = {Society of Allied Weight Engineers, Inc.},
abstract = {Effective Risk, Issue, and Opportunity (RIO) management is vital to the success of product development teams, particularly in weights management, where decisions significantly influence vehicle and program performance. This paper presents a structured approach to standardizing RIO management processes, offering best practices and actionable templates to support integrated product development teams throughout the vehicle maturation lifecycle.
The proposed methodology focuses on not only identifying, assessing, and mitigating risks and issues but also capturing and exploiting opportunities. Central to this approach is the integration of forecasting tools and processes that provide enhanced visibility into program performance. By enabling Agile decision-making, these practices empower teams to anticipate challenges, adapt quickly to evolving conditions, and align with broader program objectives.
With standardized RIO templates and improved forecasting capabilities, weights management teams can enhance collaboration, streamline communication, and optimize resource allocation. This paper underscores the critical role of proactive RIO management in driving program success, ensuring that teams are equipped to navigate complex challenges and seize opportunities for innovation while maintaining program agility and performance excellence.},
keywords = {Cross Industry},
pubstate = {published},
tppubtype = {inproceedings}
}
The proposed methodology focuses on not only identifying, assessing, and mitigating risks and issues but also capturing and exploiting opportunities. Central to this approach is the integration of forecasting tools and processes that provide enhanced visibility into program performance. By enabling Agile decision-making, these practices empower teams to anticipate challenges, adapt quickly to evolving conditions, and align with broader program objectives.
With standardized RIO templates and improved forecasting capabilities, weights management teams can enhance collaboration, streamline communication, and optimize resource allocation. This paper underscores the critical role of proactive RIO management in driving program success, ensuring that teams are equipped to navigate complex challenges and seize opportunities for innovation while maintaining program agility and performance excellence.2023
@inproceedings{3786,
title = {3786. Incorporating Non-Random Mass Properties Uncertainties},
author = {John Nakai},
url = {https://www.sawe.org/product/paper-3786},
year = {2023},
date = {2023-05-20},
urldate = {2023-05-20},
booktitle = {82nd Annual Conference, Cocoa Beach, Florida},
pages = {74},
publisher = {Society of Allied Weight Engineers, Inc.},
address = {Cocoa Beach, Florida},
abstract = {Mass properties uncertainty analysis is used to compute uncertainty intervals for a system’s mass, center of mass, moments of inertia, and products of inertia. These uncertainty intervals are typically defined as plus and minus confidence level ranges about the mean (or predicted nominal) value. A comprehensive mass properties uncertainty analysis involves an assessment of all the factors that can cause variations of the mass and distribution of mass in the system. This assessment requires the Mass Properties Engineer to consider all the potential error sources, how each error source could affect the system, and how to properly combine the uncertainties of the system’s components to compute the total system’s mass properties uncertainties. This paper discusses both random and non-random sources of mass properties uncertainties. It presents examples of various manufacturing, economic, and environmental factors to consider, and discusses how to identify and characterize the types of uncertainties these factors may cause. Methods and algorithms to account for both random and non-random mass properties uncertainties in a system are presented.},
keywords = {Cross Industry},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{3788,
title = {3788. Next-Generation Weights Management},
author = {Mark Beyer and Victor Graham},
url = {https://www.sawe.org/product/paper-3788},
year = {2023},
date = {2023-05-20},
urldate = {2023-05-20},
booktitle = {82nd Annual Conference, Cocoa Beach, Florida},
pages = {16},
publisher = {Society of Allied Weight Engineers, Inc.},
address = {Cocoa Beach, Florida},
abstract = {Weights management is an essential science in all transportation industry segments where vehicle development schedule details, manufacturing costs, technical risks, and weight are traded to optimize value to the customer. Next-generation weights management systems connect and create value in ways not previously possible, and address requirements in all phases of product development, manufacturing, and commercial operation. Measures of successful weight management systems include the ability to enable data-driven decisions as early as possible in vehicle life cycle development and maximize the value of all enterprise mass property data assets. This paper spotlights capabilities of a next-generation weights management system, and a manufacturer's motivation to transition their business processes. Motivation to consider Beyer Flight Sciences Weight Management system include realizing opportunities to accelerate the maturity of distributed mass properties on new design projects to reduce design rework, and to automate the conformity of simulation models with mass property updates where used to demonstrate regulatory compliance.},
keywords = {Cross Industry},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{3789,
title = {3789. Efficient Algorithms for Computing Mass Properties of Finite Elements},
author = {Mark Beyer},
url = {https://www.sawe.org/product/paper-3789},
year = {2023},
date = {2023-05-20},
urldate = {2023-05-20},
booktitle = {82nd Annual Conference, Cocoa Beach, Florida},
pages = {14},
publisher = {Society of Allied Weight Engineers, Inc.},
address = {Cocoa Beach, Florida},
abstract = {Support for finite element model (FEM) data and methods is an important enabler in next-generation weights management systems. Coordinated efforts between Weights Management and simulation teams using FEM data and methods can accelerate mass model maturity in conceptual and preliminary design before detailed CAD representations are available. Accelerated maturity of mass data can reduce engineering design cycles and rework.
Next-generation methods can also help automate the conformity of mass data from the Weights Management system of record into downstream simulation models saving structural engineers 1000s of hours of modeling effort. Substantiating conformity of mass properties in simulation models is a growing requirement as the industry shifts toward reliance of simulation to demonstrate regulatory compliance.
Incorporation of FEM into weights management methods also promotes greater cross-functional mobility and understanding between Weights Management and simulation engineering disciplines.
Finally, this paper documents the derivation of efficient computation of mass properties of finite elements including tetrahedron, pyramid, pentahedron, hexahedron, and plate elements. The approach uses the Divergence theorem to simplify integration of element volumes to computing mass terms from element faces. The algorithms are developed using Mathematica and presented in Modern Fortran. The author believes these algorithms to be an important contribution to our aerospace community knowledge base.},
keywords = {Cross Industry},
pubstate = {published},
tppubtype = {inproceedings}
}
Next-generation methods can also help automate the conformity of mass data from the Weights Management system of record into downstream simulation models saving structural engineers 1000s of hours of modeling effort. Substantiating conformity of mass properties in simulation models is a growing requirement as the industry shifts toward reliance of simulation to demonstrate regulatory compliance.
Incorporation of FEM into weights management methods also promotes greater cross-functional mobility and understanding between Weights Management and simulation engineering disciplines.
Finally, this paper documents the derivation of efficient computation of mass properties of finite elements including tetrahedron, pyramid, pentahedron, hexahedron, and plate elements. The approach uses the Divergence theorem to simplify integration of element volumes to computing mass terms from element faces. The algorithms are developed using Mathematica and presented in Modern Fortran. The author believes these algorithms to be an important contribution to our aerospace community knowledge base.