Using Python for Optimization and Conversion of STEP of CATIA and Converting it into MCNP (Monte Carlo N-Particle) Code

Abstract

MCNP (Monte Carlo N-Particle Code) is used for the N-Particle coding that is used for observing and reading the particles like neutron, photon, electron or combination of the particles present inside any geometry structure. Constructing MCNP input file is very much complex as it is done manually and so is error-prone in describing geometry model, hence this thesis investigate into how to achieve the task of constructing proper given Geometry Structure and study on the particle and material present inside the structure and get the best result. Therefore the need arises of constructing proper Geometry Shape in some software and also designing and implementing an algorithm of conversion applied to generated file in some software and proper MCNP file. In order to achieve the above goal, the software called CATIA which is known as Computer Aided Three-dimensional Interactive Application is used for designing the CAD geometry shape. CATIA offers a solution for designing different types of shapes and giving style to the shapes, also surfacing the work flow and to create visualization. CATIA is able to read and produce STEP format files therefore the design geometry is saved in form of STEP file. STEP File is known as exchange of data which is an intermediate file and is an information exchange standard produced by ISO that is International Standard Organization. It provides possibility in solving data exchanging and sharing between different CAD systems with an independent property. We designed an algorithm to achieve converting STEP file to MCNP INP file. The result of experiment shows that it has better applicability to convert STEP file to MCNP file.