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Isight 5.8

Isight 5.8

Isight 5.8

Product catalog summary
Interfaces
Isight is designed for ease of use with highly visual and intuitive interfaces, wizards, and drag-and-drop capabilities for efficient work.

Design Gateway
This graphical user interface allows for the creation of integrated simulation process flows, supporting drag-and-drop process flow creation, parameter mapping, and problem formulation. It includes features like branching, looping, and conditional statements, and supports Jython/Python scripts for runtime behavior alteration. Users can import external parameter values and utilize utilities like model search and parameter grouping.

Runtime Gateway
Execute engineering process flows and visualize results through graphs and tables. Users can choose between desktop and distributed execution engines, with results saved to a local database. The interface supports real-time data postprocessing and visualization tools.

COM and Data Exchanger
Facilitates communication with COM objects and data exchange between ASCII and XML files. OS Command executes system commands, and Simcode combines Data Exchanger and OS Command functionalities.

Calculator and Script
Perform calculations, unit conversions, and data transformations. The script component allows execution of Java commands for parameter manipulation.

Database and Grid Support
Interface with SQL-compliant databases for data retrieval and storage. Grid support enables parallel job submissions on multiprocessor machines.

Design Optimization
Offers packages for optimizing simulated behavior characteristics, supporting parallel execution and handling of failed runs.

Design of Experiments (DOE)
Provides a suite of methods for experiments with postprocessing options and cross-validation error achievement.

Component Development Environment
Based on Eclipse, it supports the creation of application components and custom techniques.

Process Integration
Includes components for building simulation process flows and data exchange with external sources, supporting applications like Abaqus, Dymola, CATIA V5, and Microsoft Office.

Optimization and Target Solver
Define optimization problems with various algorithms and visualize results using available tools.

Data Matching and Approximations
Calibrate simulation models and create approximation models with various methods and visual error analysis.

Monte Carlo Analysis and Six Sigma
Leverage sampling methods for design improvement and perform probabilistic analysis for quality measurement.

Taguchi Method
Supports analysis for improving product or process quality by achieving performance targets and minimizing variation.
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Catalog excerpts

Isight 5.8-1

Isight 5.8 An open desktop solution for creating flexible simulation process flows, consisting of a variety of applications, to automate the exploration of design alternatives, identify optimal performance parameters and integrate added-value systems. Interfaces Isight has been designed with ease-of-use in mind. Highly visual and intuitive interfaces, wizards, and drag-and-drop capabilities allow you to work quickly and efficiently. Design Gateway Leverage this intuitive graphical user interface to quickly create integrated simulation process flows that couple simulation programs regardless of discipline, programming language, or format. It provides drag-and-drop process flow creation, parameter mapping, and problem formulation. This feature-rich process editor supports powerful file parameters that can represent simulation models as variables as well as dynamically sizable arrays for both inputs and outputs. It also provides branching, looping, conditional statements of arbitrary complexity with any parameter, and other execution logic. At any point in the automated process flow, a break can be inserted to allow user intervention. This flexibility, combined with Jython/Python scripts to alter the runtime behavior of the model as a function of changing parameter values, allows the creation of highly reusable processes. If an authoring error is made, the user can easily restore to a previously auto-saved version. Once the process flow is defined, the user interface enables easy import of externally defined parameter values and problem formulations. Utilities such as model search, model content overview, parameter search, and parameter grouping are also supported. Runtime Gateway Execute engineering process flows and create graphs and tables to visualize results. The user can choose between two execution engines: a desktop execution engine, or a distributed execution engine based on embedded SEE technology. All job results are saved automatically to a locally managed database. The pack-and-go utility makes it easy for users to share models and results. The user interface supports the creation of visual tools for real-time postprocessing of data such as tables, 2D and 3D plots, correlation maps and tables, self organizing maps, and statistical analysis. Run data can be filtered and graded with a flexible set of criteria. All scatter plots allow easy one-click visualization of the virtual prototype by dedicated simulation results viewers. It provides interactive tools

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Isight 5.8-2

Isight 5.8 for visualizing parameter relationships and performance attribute trade-offs with interactive approximations. Users can share these approximations with non-Isight users by exporting them to Excel. Component Development Environment An easy-to-use component development environment based on EclipseTM supports the creation of application components that communicate with one another in the Isight environment. Add custom techniques, including DOE, approximation, approximation error analysis, optimization and Monte Carlo sampling methods, and random variable distributions. Leverage the APIs...

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Isight 5.8-3

Monte Carlo Analysis Define your optimization problem in terms of variables and multiple weighted and scaled objectives and constraints using the following algorithms: Gradient: NLPQL, MMFD, LSGRG2; Pattern: Hooke-Jeeves, Downhill Simplex, Adaptive Simulated Annealing; Mixed Integer/Real: MISQP, MOST; Genetic Algorithms: Evolution, Multi-Island GA; Multi-Objective: AMGA, NSGA II, NCGA, Particle Swarm; Other: Stress-Ratio Method, Pointer I & II Automatic Optimizer, Multi-objective Approximation Loop. Specify target values for the output parameters of the process flow and deploy the target solver...

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