SIMULIA Abaqus Isight & SIMULIA Execution Engine
In today’s complex product development and manufacturing environment, designers and engineers are using a wide range of software tools to design and simulate their products. Often, chained simulation process flows are required in which the parameters and results from one software package are needed as inputs to another package and the manual process of entering the required data can reduce efficiency, slow product development, and introduce errors in modeling and simulation assumptions. SIMULIA provides market-leading solutions that improve the process of leveraging the power of various software packages. Isight and the SIMULIA Execution Engine (formerly Fiper) are used to combine multiple cross-disciplinary models and applications together in a simulation process flow, automate their execution across distributed compute resources, explore the resulting design space, and identify the optimal design parameters subject to required constraints.
Isight: Scope of Capabilities
Our proven simulation automation and optimization solutions enable engineering teams to:
- Drastically reduce design cycle time through integrating workflow processes in an automated environment.
- Deliver more reliable, better-quality products through accelerated evaluation of design alternatives.
- Lower hardware investments through effective use of legacy systems and more efficient job distribution.
- Eliminate the bottlenecks of ineffective communication by enabling secure design collaboration among partners.
Design Space Exploration with Isight
Design of Experiments
The DOE component allows engineers to explore the impact of design variables, weighting outcomes against a set of objectives and mapping the significance of variable interaction. The data from DOE runs can be used with approximation models for use with optimization methods.
Isight provides a selection of optimization techniques that are parallelized and applicable to many problems, and can handle multi-objective optimization.
Simulation models can be calibrated through this process by minimizing a variety of error measures through optimization techniques, with target data derived from 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.
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.