Handling the Complexity of Mechatronic System Design

Two design projects highlight how ABB Group leverages optimization-based development to handle the complexity that automation and control systems entail and to maximize mechatronic product performance, meet reliability demands and ease overall environmental impact.

Field Analysis and Multi-objective Design Optimization of E-Core Transverse-Flux Permanent Magnet Linear Motor

Linear motor can drive linear load directly without the rotary-to-linear conversion as needed for its counterpart rotary motor, which have the advantages of high acceleration, high precision and high operating life. Transverse-flux permanent magnet linear motor (TFPMLM) enjoys the additional merits resulting from the transverse-flux structure, such as high force density, high fault-tolerant ability and electromagnetic decoupling. However, the TFPMLM always features a complicate structure and suffers from large magnetic flux leakage. nalyzing the motor efficiently and accurately is one of the key factors for motor’s optimal design. ​

Situated Design Optimization of Haptic Devices

 It is a complex task to develop and optimize a high-performing haptic device, mainly because of the multi-domain and multi-criteria performance requirements for such devices.​ The general goal for the research presented in this paper is to further develop the previously proposed model-based framework and methodology into a situated and computationally efficient design framework for multiobjective optimization of haptic devices.

Inverse derivation of constants for the constitutive equation and fatigue model of PB-free solder joints based on experiment results, finite element simulation and virtual optimization methodology

A novel approach of deriving the constants for lead free solder creep constitutive equation and fatigue model has been proposed in this paper. In this approach, the constitutive parameters and fatigue model constants were determined retrospectively based on the test results of selected lead-free BGA packages, multi-objective optimization, and finite element modeling. ANSYS and modeFRONTIER are coupled in this methodology.

Numerical multi objective optimization of a squirrel cage induction motor for industrial application

This paper reports the optimization process of a MW-size, medium voltage, squirrel cage induction motor for industrial applications. The main optimization targets are the power density increase in the strict respect of given Oil&Gas international regulations.  The optimization method is based on genetic multiobjective search, and involves key geometrical variables of the electromagnetic design, processed by means of a dedicated hybrid FEA and analytical algorithm; the optimization is based on the commercial software modeFRONTIER.

Multi-Objective Analysis and Optimization of Integrated Cooling in Micro-Electronics With Hot Spots

This work aims to find the optimal configuration of three micro pin-fins in order to reach efficient thermal management. The optimization study using modeFRONTIER shows that pin-fin configurations are capable of containing heat flux levels of next generation electronic chips without compromising the structural integrity, and even the smallest thin film thickness improves both overall and local temperature uniformity.

SAE 2016 Aerospace Systems and Technology Conference

ESTECO is pleased to take part in the SAE 2016 Aerospace Systems and Technology Conference (ASTC), that will take place in Hartford, Connecticut (USA) from 27th to 29th September 2016 in Connecticut Convention Center.

Design optimization of a 3-unit satellite de-orbiting mechanism

The main goal of the present work is to design an efficient de-orbiting system providing the shortest de-orbiting time with an easily deployed mechanism. The de-orbiting mechanism of interest is 3USAT from the Space Systems Design and Testing Laboratory (SSDTL) of Istanbul Technical University. An in-house code developed for the calculation of minimum aerodynamic drag force and spring moment is coupled with modeFRONTIER to perform multi-objective design optimization of the de-orbiting mechanism. 

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. 

Study of Crash Phenomenon for Humanoid Robot

This study aims to find lighter and more robust cover solutions for robotic structures, with an ability to absorb shock energy due to strong collisions. Virtual robotic models based on the COMAN robot are chosen for the study, using the FEM model. Testing using multibody and modeFRONTIER has yielded excellent results for the chosen material.