Abstract Details

Name: Shrishail Raut
Affiliation: Pandit Deendayal Petroleum University
Conference ID: ASI2017_533
Title : Analysis of thin mirrors using integration of NX Nastran and MATLAB
Authors and Co-Authors : Pavan Kumar Gurrala, PDPU, Gandhinagar. S.Sriram, IIAP, Bangalore. P.K. Mahesh, IIAP, Bangalore
Abstract Type : Poster
Abstract Category : Instrumentation and Techniques
Abstract : Stressed mirror polishing technique is used where we require aspherical mirrors, as they cannot be produced by traditional mirror polishing techniques. The aspherical mirrors can be used in any type of segmented mirror telescope which requires aspherical mirror system. The analysis of aspherical thin mirrors require minimum of two softwares, one has to be modeling and analysis software and other being mathematical software. The softwares we have selected are NX Nastran and MATLAB. We have to calculate a certain amount of pair of forces which has to be applied manually on the thin mirror before stressed mirror polishing. After the forces are removed, we have to export the displacements of nodes of the surface to a program in MATLAB, which gives us the required coefficients which are to be used for further work. Application of force at the certain number of pairs ofpointson the mirror model in NX Nastran is very tediousand time consuming. Also the probability of occurrence of errors is high. For various optical terms, the values of forces to be applied will differ. Hence, to eliminate such impedances, we will attempt to automate maximum amount of steps. This includes the integration of NX Nastran and MATLAB. For better understanding, let’s take an example;consider that there are 48 nodes where we need to apply 24 pair of forces respectively. For that, we can write a program in MATLAB to generate 24 pairs of forces as per the requirement of user. The NX Nastran will import this file generated by MATLAB and the 24 pairs of forces will be applied to the 48 nodes automatically. Again NX Nastran should export the surface profile to MATLAB automatically. For, few processes we can use Macros to reduce human effort. A detailed approach will be presented in the paper on how an attempt is made to integrate these two softwares. An attempt is made to reduce time for the whole process by 1/10th. This will allow us to do morework in less time with higher accuracy.