MITCalc - Tolerance analysis 1.17

MITCalc - Tolerance analysis 1.17 Screenshot MITCalc - Tolerance analysis consists of two programs for the tolerance analysis of linear, 2D and 3D dimensional chains 1) Tolerance analysis of linear dimensional chains.

Developer:   MITCalc
      software by MITCalc →
Price:  29.00  buy →
License:   Shareware
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OS:   Windows Vista (?)
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MITCalc - Tolerance analysis consists of two programs for the tolerance analysis of linear, 2D and 3D dimensional chains

1) Tolerance analysis of linear dimensional chains.
The program is designed for tolerance analysis of linear (1D) dimensional chains. The program solves the following problems:

  • Tolerance analysis, synthesis and optimization of a dimensional chain using the arithmetic "WC" (Worst case) method, possibly the statistical "RSS" (Root Sum Squares) method.
  • Analysis of a dimensional chain deformed as a result of temperature change.
  • Extended statistic analysis of dimensional chain using the "6 Sigma" method.
  • Tolerance analysis of a dimensional chain during selective assembly including optimization of the number of assembled products.

    All solved tasks enable work with standardized tolerance values, both in designing and in optimization of the dimensional chain.

    2) Tolerance analysis of 2-D and 3-D dimensional chains
    The program is designed for the tolerance analysis of two-dimensional (2-D) and three-dimensional (3-D) dimensional chains. The program solves the following problems:
  • Tolerance analysis of a dimensional chain using the "Worst case" method.
  • Tolerance analysis of a dimensional chain using the "Monte Carlo" method.

    In designing a dimensional chain, the program enables work with standardized tolerance values.

    Data, methods, algorithms and information from professional literature and ANSI, ISO, DIN and other standards are used in calculation. List of standa

    tags tolerance analysis  dimensional chain  the program  dimensional chains  using the  chains the  chain using  worst case  case method  with standardized  tolerance values  standardized tolerance  work with  

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