Virtual and experimental tolerance analysis of deviated assembly groups
Third Party Funds Group - Sub project
Start date : 01.06.2016
End date : 31.05.2019
Extension date: 31.12.2019
Website: https://www.for2271.tf.fau.de/startseite/for-2271-tp1/
Overall project details
Overall project
FOR 2271: Prozessorientiertes Toleranzmanagement mit virtuellen Absicherungsmethoden (FORTol)
June 1, 2016 - Aug. 14, 2023
Overall project speaker:
Project details
Short description
Short description
The aim of the research project is to enable a process-oriented tolerancing, which considers all geometric deviations and their various sources as well as measurement uncertainties, by providing the required methods and tools. In order to achieve this goal, particularly the research challenges regarding the best practice for process-oriented tolerance specification, regarding the integration of various kinds of geometric deviations in tolerance simulation models and regarding the use of tolerance simulation results for optimized tolerance allocation and process design are answered. This is achieved by performing virtual tolerance analysis, which are validated by experimental tolerance evaluations on the demonstrator system of the research group. For this purpose, tolerance simulation models are developed, which overcome the shortcomings of established tolerance and deviation representation schemes, and based on the obtained tolerance simulation results, approaches for the specification of functional tolerances, which are manufacturable and measurable, and for the identification of robust process windows are provided.
Beside the development of virtual tools for the tolerance analysis and their validation, methods and best practices for the integrated and holistic tolerance management are provided, which consider the characteristic features of computer-aided engineering tools and which will be checked in cooperation with the partners of the research group.
Thus, the main benefit of the research project is a procedure for process-oriented tolerancing, which allows the holistic consideration of various kinds and sources of geometric deviations already during product development as well as the identification of relevant process and operating parameters. Based thereon, manufacturing, assembly, and inspection processes can be systematically optimized, costs can be saved and the time-to-market can be shortened.
Scientific Abstract
The aim of the research project is to enable a process-oriented tolerancing, which considers all geometric deviations and their various sources as well as measurement uncertainties, by providing the required methods and tools. In order to achieve this goal, particularly the research challenges regarding the best practice for process-oriented tolerance specification, regarding the integration of various kinds of geometric deviations in tolerance simulation models and regarding the use of tolerance simulation results for optimized tolerance allocation and process design are answered. This is achieved by performing virtual tolerance analysis, which are validated by experimental tolerance evaluations on the demonstrator system of the research group. For this purpose, tolerance simulation models are developed, which overcome the shortcomings of established tolerance and deviation representation schemes, and based on the obtained tolerance simulation results, approaches for the specification of functional tolerances, which are manufacturable and measurable, and for the identification of robust process windows are provided.
Beside the development of virtual tools for the tolerance analysis and their validation, methods and best practices for the integrated and holistic tolerance management are provided, which consider the characteristic features of computer-aided engineering tools and which will be checked in cooperation with the partners of the research group.
Thus, the main benefit of the research project is a procedure for process-oriented tolerancing, which allows the holistic consideration of various kinds and sources of geometric deviations already during product development as well as the identification of relevant process and operating parameters. Based thereon, manufacturing, assembly, and inspection processes can be systematically optimized, costs can be saved and the time-to-market can be shortened.
