Tolerance optimization method for all-welded assembly

Abstract

The invention discloses a tolerance optimization method for all-welded assemblies, relates to welding deformation accumulated error prediction and tolerance optimization of multiple assemblies, and solves the problem of tolerance design optimization requirements of all-welded assemblies. The method comprises the steps that original design information of all-welded assemblies is collected, and various kinds of tolerance information are summarized; a three-dimensional tolerance analysis model is established, simulation analysis is conducted through virtual assembly, and the deviation of the total deflection amount of the all-welded assembly is predicted; and a weighted calculation value is established based on the contribution degree factor and the sensitivity factor of each deviation and the control difficulty factor of welding deformation, and iteration is continuously performed according to a simulation analysis result until a tolerance optimization scheme meeting an optimization target is obtained and output. According to the method, the welding deformation accumulative error can be effectively predicted, tolerance optimization is achieved, and the efficiency of tolerance secondary design is improved.

Description

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AI Technical Summary

Benefits of technology

In this patented technology it helps prevent damage caused by excessive heat during manufacturing processes such as laser beam melting or plasma arc cutting. It also optimizes how well parts are designed for use with these techniques based on their ability to resist being bent over time without losing functionality. Overall, this technique allows companies to make better quality products while reducing costs associated therewith.

Problems solved by technology

This patented technical problem addressed in this Patents relates to improving the efficiency and effectiveness of producing parts made up of complicated structures such as power plants or vehicles due to their complexity and variations caused during production. These issues include ensured consistently good quality products despite being subjected to various types of machinery operations like weldings, while minimizing waste and optimum utilities. Current techniques involve trial-and-error approaches based on predefined acceptable ranges and allow only limited adjustment options. There is currently insufficient predictability data available about how well the final component's performance can be affected when used together without causing any significant changes over time.

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