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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 Industry2023
@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.