Abstract
This research aims to create an efficient way to guide designers in selecting tolerances more cost-effectively through the Jacobian-Torsor unified model by performing an iterative statistical and deterministic analysis of geometric tolerances. This model is created based on the assembly's Functional Requirements (FR) and the starting tolerance values of the Functional Elements (FE) that comprise the tolerance chain. The model initially produces deterministic results. However, the Monte Carlo simulation allows converting it into a statistical model. The model is assessed iteratively, with each simulation iteration employing random values of the torsor components that correspond to the functional elements as inputs. The simulation ends when the number of iterations approaches the maximum value set at the star, and a collection of values representing the components of the Functional Requirement (FR) torsor is created based on repeated multiplications of the model. Finally, the percentage calculation defines the contribution of each Functional Element (FE) to the total Functional Requirement (FR). A numerical example is provided to demonstrate the use of the suggested method. A comparison of the two approaches, deterministic and statistical, reveals that the latter has a more significant economic impact.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Review of Mechanical Engineering (IREME)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
