SigFit represents a multifunctional software that provides a seamless flow of information from thermal-structural analysis to optical and control systems stability. What it basically does is to generate predictions about physical changes, such as temperature gradients, mechanical loads, and material properties implemented in FEA and CFD models while applying software like Ansys, NASTRAN, and Abaeus, and also optical alignment, image quality, and structural integrity are the results of such predictions. In this way, SigFit will enable the creation of systems that can anticipate and cope with the system weaknesses present in terms of environmental and operational stressors, which will guarantee the fast process of design of innovative systems.

At the heart of the program, SigFit has a complex algorithm that correlates the deformations with performance measures. It typically first puts all the results from a CAE solver (like a displacement field or temperatures) in the planning document. The operation is followed by the execution of several fundamental operations:

In-Surface Contour Cell Refinement: It performs iterative fitting of this evolution to obtain smooth, continuous surfaces.

Optical Analysis: It converts deformations into optical path differences, surface slopes, and similar necessary metrics for optical image evaluation by using Zernike polynomial fitting and other methods.

LOS Jitter and Stability Analysis: It determines the responsiveness and the stability of the optical systems in dynamic conditions due to fluctuations in the load.

Data Transfer: It establishes a method to handle mapping data among incompatible meshes, which is a critical issue during the fluid-structure interaction as well as based on heat transfer.

First, a deterministic simulation will be done to predict the outcome in terms of accumulated thermal warping in a satellite mirror until a last erection. If a vibration-induced deformation occurs in a telescope, the system’s resolution and pointing accuracy will be able to be quantified directly in the final system.

Highlighted in the newly published 2020R1 release are some of these features, which are significant for retaining the leading role of our software in the market:

Tight Integration: Strong ties with major FEA solvers provide a fairly quick and easy workflow for efficient data flow and simulated processes.

High-Accuracy Fitting Techniques: As a consequence of these tireless efforts, Zernike, Chebyshev, and Legendre polynomials represent the top-quality optical surfaces derived from FEA data.

Dynamic and Jitter Analysis: Build up a wide set of tools for simulation models allowing for prediction of performance characteristics including stability and jitter.

Stochastic Analysis: Thus, mechanical engineers can account for the effect of material properties, boundary conditions, and manufacturing tolerances on their system performance.

User-Friendly Interface and Scripting: An ultra-easy GUI presentation can be accessed by those who are not that experienced. If, on the other hand, one can as easily use Python and Matlab scripting. For both novice users and experts who require advanced automation.

To install SigFit, permissions must be carefully granted and attention must be paid to licensing, as administrative privilege is needed.

Procure the software: Get SigFit 2020R1. You need this software and the license files from Sigmund or it’s authorized distributors.

Run the Installer: Open the setup file (usually named Setup.exe), right-click it and choose Run as administrator.

Follow the Installation Wizard: The installation wizard will guide you through the process. You have to check the license agreement, indicate the directory for installation, and choose the components you use (e.g., FEA solvers plugins).

License Configuration: one of the most important steps in the SigFit installation. Indicate the couple location of the license configuration tool and feed your license file (positional conventionally is Swift. sic) or network license server’s address if you need to apply floating license key. Nevertheless, the decided technique is qualified from the subsequent stage, whether the node-locked license or floating license is in use.

The implementation of SigFit would be better facilitated if the user has at their disposal a heavy engineering workstation that can process complex engineering problems, hence the need for a capable computer that can handle the job.

Operating System: Windows 10 (or its server-form counterparts, Server 2016 or 2019), 64-bit.

Processor (CPU): These platforms are built on a high-performance multi-core processor, like Intel Xeno, or Core i7/i9 series.

Memory (RAM): The basics start with 16 GB; and if you wanna do more serious modeling or stress analysis, get yourself at least 32 GB RAM.

Hard disk: The appropriate solid-state drive (SSD) can be expected to have no less than 10 GB free for the application and temporary files.

Graphics: A professional dedicated graphics card (like Nvidia Quadro, or AMD Radeon Pro) being run with updated OpenGL drivers.

Software Prerequisites: A careful review of the required versions of Microsoft Visual C++ Redistributable or other national libraries is a must before the installation process to avoid interfering elements as illustrated in the official process presented.