Dimensional variation propagation analysis in straight-build mechanical assemblies using a probabilistic approach

作者：Yang, Z.^*; McWilliam, S.; Popov, A. A.; Hussain, T.; Yang, H.

来源：Journal of Manufacturing Systems, 2013, 32(2): 348-356.

DOI：10.1016/j.jmsy.2012.11.008

• Straight-build assembly
• Tolerance analysis
• Monte Carlo simulation
• Variation propagation control
• Probabilistic approach

Product quality in mechanical assemblies is determined by controlling the propagation of manufacturing variations as the structure is built. This paper focuses on straight-build assembly and uses a probabilistic approach to analyse the influence of component variation on the eccentricity of the build. Connective models are used to predict assembly variations arising from individual component variations, and a probabilistic approach is used to calculate the probability density pdf) for the eccentricity of the build. The probabilistic approach considers three different straight-build scenarios: (i) direct build; (ii) best build; and (iii) worst build, for two-dimensional "axi-symmetric" assemblies. The probabilistic approach is much more efficient than Monte Carlo simulation. The paper also uses numerical examples to investigate the accuracy of the probabilistic approach in comparison to Monte Carlo simulation.

• 出版日期2013-4
• 单位苏州大学