ISIGHT
Overview of ISIGHT
01
Design of Experiments
Uncover Design Secrets Faster: ISIGHT's DOE tool unlocks design potential by swiftly analyzing variable impacts and revealing key interactions.
02
Optimization
Engineer Your Success: ISIGHT's array of optimized techniques turbocharge problem-solving across domains, tackling multi-objective challenges with finesse.
03
Data Matching
Perfect Harmony: ISIGHT's data matching harmonizes simulations with reality, fine-tuning models through optimization for a seamless fit
04
Approximations and the Visual Design Driver
Navigate the Future: Realtime approximations steer you through complex simulations and a multi-dimensional view of design possibilities.
05
Quality Methods
Mastering Uncertainty: ISIGHT's stochastic methods, including Monte Carlo Simulation, illuminate design robustness by embracing variability and uncertainty.
Explore the Capabilities of ISIGHT
Design of Experiments
Within ISIGHT's toolkit, the Design of Experiments (DOE) component emerges as a powerful engine empowering engineers to swiftly and comprehensively evaluate the dynamic impact of a myriad of design variables. These evaluations are rooted in a well-defined set of objectives, allowing for the identification of crucial interactions that might otherwise remain hidden. Notably, the treasure trove of design data that stems from DOE runs isn't confined to mere analysis—it seamlessly integrates with approximation models. This integrated approach equips optimization methods with a potent edge, facilitating the crafting of solutions that not only reflect the data-driven insights but also foster innovation through streamlined exploration.
Optimization
ISIGHT stands as a beacon of optimization prowess, offering a vast repertoire of meticulously crafted parallelized optimization techniques. This expansive toolkit finds its utility across a diverse array of problem domains, effectively transforming intricate challenges into tractable opportunities. Moreover, ISIGHT's optimization capabilities extend their mastery to encompass multi-objective optimization, a realm where the pursuit of optimal solutions is tempered by the nuanced balance between conflicting goals. Through this multifaceted approach, ISIGHT engenders an environment wherein the complex is simplified, and the optimal is within grasp.
Data Matching
At the heart of ISIGHT's functionality lies the potent process of Data Matching—a calibration dance that bridges the realms of simulation and reality. Here, the fusion of cutting-edge simulation models with actual data is orchestrated with precision, minimizing an array of diverse error measures through the judicious application of optimization techniques. Importantly, this process isn't confined by the origin of the target data—it can be culled from experimental observations or simulation results, further cementing its versatility. ISIGHT's Data Matching ensures that the bridge between theory and practice is solidified, paving the way for well-informed decision-making grounded in accurate, calibrated models.
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.
Get In Touch With Us
Anything on your mind. We will be glad to assist you!
