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Tolerance and Stack Analysis Manual and Advance approach

Tolerance analysis is used to predict the effects of manufacturing variation on finished products. Either design tolerances or manufacturing process data may be used to define the variation. Tolerances stack up in machining results from using operational datum that are different from design datum. It is inevitable due to economic considerations of the machining process. Conventional methods used for tolerance stack up analysis include worst-case and statistical analysis. These methods are based on strong assumptions and have certain drawbacks. These methods can be implemented either manually (spread sheet) or automatically. My thesis is related to discussion of these approaches to implement tolerance analysis.
The traditional way to implement tolerance and stackup analysis is to prepare a spread sheet for each tolerance affecting the target dimension. There are certain drawbacks in this approach. First of all it is very time consuming and costly. Secondly the designer has to go through all the miner details of design, which may lead to human error.
Now days a lot of Softwares are available in market which can automatically detect the related dimension and their relation to each other such as SigmundWorks, DCS-Datum Flow Chain (DCS-DFC), 1DCS, CETOL 6σ , GD&T Advisor, Tollanalyst, Simens NX / TolMate, Vis VSA and many more.
These Softwares can help to reduce the negative impact of variation on product dimensional quality, cost and time to market. But most of the softwares are expensive or may require an external plugin to perform the analysis.

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TOLERANCE & STACKUP ANALYSIS MANUAL AND ADVANCE APPROACH Waqas Amjad TITLE OF THESIS: PROF. STEFANO TORNINCASA DIGEP -DIPARTIMENTO DI INGEGNERIA GESTIONALE E DELLA PRODUZIONE I FACOLTA' DI INGEGNERIA Waqas Amjad SUPERVISOR

Laurea liv.I

Facoltà: Ingegneria

Autore: Waqas Amajd Contatta »

Composta da 71 pagine.

 

Questa tesi ha raggiunto 222 click dal 12/06/2013.

Disponibile in PDF, la consultazione è esclusivamente in formato digitale.

 

 

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