دانلود SIMULIA Isight 2016 HF2 x64 نرم افزار اتصال و یکپارچه سازی داده برای انواع نرم افزار های شبیه سازی

Isight’s ability to manipulate and map parametric data between process steps and automate multiple simulations greatly improves efficiency, reduces manual errors, and accelerates the evaluation of product design alternatives.
Open Component Framework
Isight provides a standard library of components—including Excel™, Word™, CATIA V5™, Dymola™, MATLAB®, COM, Text I/O applications, Java and Python Scripting, and databases—for integrating and running a model or simulation. These components form the building blocks of simulation process flows.
The direct link between Isight and the components allows for easy modification of a reference input deck, execution of the component, and the extraction of the output information. A full-featured development environment, based on EclipseTM, supports the development of components, whereas the open API extends additional Isight capabilities. This open architecture allows SIMULIA and its partners to offer a wide range of application components that provide a tighter integration with models developed in popular engineering software applications.

Here are some key features of "Isight":
Design of Experiments
The DOE component enables engineers to quickly assess the impact of various design variables based on a set of objectives and identify significant interactions. The design data produced by DOE runs can also be used with approximation models for use with optimization methods.
Optimization
Isight provides a comprehensive selection of parallelized optimization techniques that can be applied to a variety of problems. It also includes techniques that can handle multi-objective optimization problems.
Data Matching
This process enables simulation models to be calibrated by minimizing any variety of different error measures using optimization techniques. Target data can be imported as experimental or simulation results.
Approximations and the Visual Design Driver
Isight offers powerful real-time tools to interpolate results of computationally intensive realistic simulations. Approximation models are automatically cross-validated to ensure accurate predictions. The Visual Design Driver allows users to see their approximation models from many different views and “surf” the design space graphically and interactively.
Quality Methods
Isight provides stochastic methods that account for variation in product designs and their operating environment. The Monte Carlo Simulation (MCS) component offers an accurate method to address uncertainty and randomness in the design process. It allows users to sample the design space, assess the impact of known uncertainties in input variables on the system responses, and characterize the statistical nature (mean, variance, range, distribution, etc.) of the responses of interest.