Solutions
The Solution: Multistat Visual Optimizer
The company turned to Multistat and its flagship product, Multistat Visual Optimizer to optimize the mechanical and airflow models simultaneously, something that they were not able to do with their previous optimization software.
“With Multistat Visual Optimizer, we were able to reduce design iterations because it could easily handle the number of variables we had in this design. That, in turn, saved us time, which is a crucial and expensive part of the design cycle. More importantly, we did not have to sacrifice product quality to achieve our results.”
The Results: 50% decrease in design time and associated cost savings
“We were able to cut our average design time by 50 percent with Multistat Visual Optimizer,” said the principal engineer. “Usually our process takes four to six weeks, with Multistat Visual Optimizer, we were able to cut that time in half to two or three weeks, which is a huge savings.”
They estimate that the reductions in time delivered by Multistat Visual Optimizer could result in a cost savings of between $300,000 to $400,000 over several projects a year. In addition, Multistat Visual Optimizer has application outside of turbine and compressor wheels in the overall design of the turbocharger. “Multistat Visual Optimizer can be used for any design,” said the principal engineer. “The algorithms are finely tuned to optimization, so it can be applied to any area to improve a design -- saving time and money.”
Multistat is helping companies lower costs, increase efficiency and accelerate the design cycle through comprehensive optimization software and services, Multistat Visual Optimizer uses the company's patented technology to deliver breakthrough performance over existing optimization techniques. Multistat Visual Optimizer uses any type of complex multi-dimensional data needed to find the best solution from among a myriad of available alternatives.
With Multistat Visual Optimizer, this company is saving critical engineering design time and accelerating its product development cycle. Both have positive impact on the company's bottom line.
Maximize
Efficiency
Multistat requires much fewer evaluations to determine each Pareto Optimal point - frequently as few as 3-5 evaluations per Pareto Optimal point.
Scalability
Multistat works effectively with large-scale tasks with 1000-2000 design variables.
Accuracy
Multistat can find Pareto Optimal points within a specified tolerance of the Pareto surface, and can also generate a series of Pareto Optimal points to improve a single criteria.