SAE 2016 Thermal Management System Symposium

ESTECO is honored to exhibit and present at the SAE 2016 Thermal Management System Symposium that will be held in October 18-20, 2016.

With the advent of new vehicle powertrains such as hybrid, electric and fuel cell, how to handle vehicle heating and cooling has become a paramount issue in the mobility industry. All thermal management systems, including mobile air conditioning systems, require new concepts to provide passenger compartment heating and cooling as well as heating and cooling of batteries and cooling of vehicle fuel systems.

Optimization of Active Grille Shutters Operation for Increased Fuel Economy

This presentations shows the optimization of active grill shutters in order to improve fuel economy and reduce drag penalty of a motor vehicle. The integration of softwares modeFRONTIER and Exa PowerFLOW facilitate the optimization process bringing valid results for the design of a more fuel-efficient vehicle.

Three-dimensional numerical analysis of diesel combustion under cold ambient conditions

The purpose of this study was to clarify the relationship between the air–fuel mixture distribution and various multiple injection patterns based on both experiments and 3D computational fluid dynamics (CFD) simulations. Special attention was paid to the region near the glow plug under low-temperature conditions. The test engine was a four-cylinder direct injection diesel engine with a compression ratio of 15.0:1. The constants of the shell model were optimized using a genetic algorithm in modeFRONTIER.

Novel, cost-effective configurations of combined power plants for small-scale cogeneration from biomass

The employment of small combined cycles as a valid alternative to ORC systems for Combined Heat and Power from biomass is feasible in the near future and can guarantee competitive thermodynamic performances. Two design optimizations were performed according to two different configurations, employing the Immersed Particle heat exchanger and Nickel Alloy heat exchanger. Thermal efficiency and electrical efficiency were selected as the objectives to be maximized by the optimization algorithm in modeFRONTIER.

Thermal Analysis of a Diesel Piston and Cylinder Liner using the Inverse Heat Conduction Method

This Master’s thesis developed a thermal analysis model of a diesel piston that is used in Volvo Cars engines, which enhances the possibilities to determine the complete thermal loads of the car engine and can be used as a boundary condition when performing combustion CFD-simulation. 

Multi-Objective Optimization of micro pin-fin arrays for cooling of high heat flux electionics

This study investigates the thermal management capability of various candidates of micro-pin fin arrays. Optimization of three micro-pin fin geometries was carried out using algorithms RSM, NSGA-II and SOBOL. The two objectives are to minimize maximum temperature and pressure drop, while keeping the maximum temperature below 85°C. 

Design method of high performance precast external walls for warm climate by multi-objective optimization analysis

An urgent need to reduce energy consumption and greenhouse gas emissions in the construction sector has arisen. This study aims to identify energy-efficient precast walls for Zero Energy Buildings. The modeFRONTIER optimization tool, with the use of computational procedures developed in Matlab, has been used to assess the thermal dynamics of building components.

Inverse Design of Cooling of Electronic Chips Subject to Specified Hot Spot Temperature and Coolant Inlet Temperature

The goal of this study is to identify a cooling pin-fin shape and scheme that is able to push the maximum allowable heat flux as high as possible without the maximum temperature exceeding the specified limit. This problem was explored using multi-objective optimization and metamodeling for an array of micro pin-fins. ANSYS and modeFRONTIER were used for the optimization process.

A Numerical Procedure for the Preliminary Design of ORC Power Plants with Positive Displacement Expanders

An automated procedure is proposed for the efficient design of an ORC (Organic Rankine Cycle) power plant. Implementation was done in Matlab and a multi-objective genetic algorithm in modeFRONTIER. The sizing procedure was applied to two values of the radiant thermal power (10 and 50kW). Optimum configuration for each power is found, as well as a solution that allows to operate the plant with both values of solar power using the same working fluid and the same volumetric expander​.

Determination of interfacial Heat Transfer Coefficients in a sand mould casting process using an optimized inverse analysis

Determination of the interface heat transfer coefficients in casting processes is fundamental for a reliable numerical model to predict common defects like hot tear or residual stress. Using the results of the optimization procedure in modeFRONTIER, the methodology helped determine the correct values of the input variables for modeling the casting process of superduplex stainless steel.