Use of multi-variate data analysis, fast algorithms and grid automation in modeFRONTIER for multi-objective optimization

Performing a system optimization that involves a large number of design variables and computationally expensive analysis is possible but not always practically feasible. As a solution, the optimization process can be made more efficient if the designers can analyze the problem characteristics a priori and use the information to reduce the problem complexity.

Optimal coverages for genome assembly with combined new generation sequencing data

De novo assembly projects often use mixed sequencing technologies, with the combined objective of maximizing the assembly quality and minimizing the sequencing cost. With its optimization and post-processing capabilities, modeFRONTIER can rationalize the DNA assembly process and obtain high-quality results.

History and Applications of modeFRONTIER at Ford Motor Company

In Ford modeFRONTIER is used in different disciplines: safety analysis, NVH (noise, vibration and harshness), aerodynamics and fuel cells. An example is presented for each of those disciplines, as well as the main advantages of the optimization platform.

Design Space Exploration

When defining an engineering problem and choosing the variables, the region of interest called Design Space is framed. DOE techniques allow for the exploration of the design space by considering all variables simultaneously and predicting the system's response over a wide range of values.

A modular framework for the analysis and optimization of power generation systems with CCS

Developing technologies to reduce emissions from these sources is essential for controlling atmospheric levels of CO2 because of the widespread reliance on coal as an inexpensive and abundant energy source. This framework provides the means to link the various modules together in order to provide a holistic, systems perspective of plant wide operations. Results of analyses and optimization scenarios performed with the framework are also presented.

Rooftop photovoltaic (PV) systems for industrial halls - achieving economic benefit via lowering energy demand

Industrial halls are characterized by their relatively high roof-to-floor ratio, which facilitates ready deployment of renewable energy generation, such as photovoltaic (PV) systems, on the rooftop. This paper performs a cost–benefit analysis in which the monetary return due to electricity generation of PV system is stacked against the annualized cost of the PV system investment.

Integration of a fully 3D CFD model in a lump parameter system simulation

A new proportional change over valve has been studied by Tetra Pak engineers in order to increase the flexibility of a filling machine, optimize the air temperature in the aseptic chamber.

Advanced numerical optimization methods in the rapid product development process of diesel engines

BMW leveraged modeFRONTIER to optimize the fatigue life of a diesel engine crankcase and gasket. The objectives were to maximize safety factors at the inter-cylinder walls, while maximizing the minimum bead pressure during the low temperature phases of combustion.

Maserati car body optimization

The object of the analysis is a 3D car body of  a Maserati model. Its aim is related to achieve a complete knowledge about the static and dynamic behavior of the car body in its working conditions. The entire design chain exploration was managed by the multi-objective design environment tool modeFRONTIER, which allows a fast search of the input parameters and the objective functions.

Effect of acceleration on optimization of Adidas Bounce shoes

The aim of this paper was to investigate whether the optimum solution changed if the runner accelerated during a stride. The simulations showed that there is very little change in optimum design angle.