A second-order tolerance analysis approach to statistical virtual assembly for rigid parts
Virtual assembly has become a popular trend in recent years and is used for various purposes, including selective assembly and adaptive tooling. Monte Carlo approaches based on Finite Element Method (FEM) simulations are commonly used for production applications. However, during the design phase, wh...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2024-03, Vol.131 (1), p.437-446 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Maltauro, Mattia Meneghello, Roberto Concheri, Gianmaria |
| description | Virtual assembly has become a popular trend in recent years and is used for various purposes, including selective assembly and adaptive tooling. Monte Carlo approaches based on Finite Element Method (FEM) simulations are commonly used for production applications. However, during the design phase, when testing different configurations and design options, a variational method is more suitable. This paper aims to test different implementations of the Method of System Moments applied to the second-order tolerance analysis method when actual distributions, which are non-centered and non-normal, are used as input for the simulation. The study reveals that the simulation results can significantly vary depending on the simulation settings in some cases. As a result, a series of best practices are highlighted to improve the accuracy and reliability of the simulation outcomes. |
| doi_str_mv | 10.1007/s00170-024-13153-2 |
| format | Article |
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| subjects | Accuracy Advanced manufacturing technologies Assembly Best practice CAE) and Design Computer simulation Computer-Aided Engineering (CAD Configuration management Engineering Finite element method Industrial and Production Engineering Kinematics Kurtosis Manufacturing Mechanical Engineering Media Management Monte Carlo simulation Original Article Tooling |
| title | A second-order tolerance analysis approach to statistical virtual assembly for rigid parts |
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