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Nowadays many parameter studies for the design and optimization of electromagnetic devices are carried out by means of 2D and 3D nonlinear finite element (FE) models. Through optimization algorithms selecting one design as optimal with respect to the chosen cost function, the user does not gain any intuitive clue of the interrelations existing between design parameters, although numerous computations have been performed across the whole parameter space of the system. The purpose of this paper is to visualize a complex nonlinear FE solution system, which is parameterized through a number of control variables, in virtual reality (VR).

This paper presents a visualization approach for n‐dimensional parameter spaces of FE solutions in VR and the corresponding interpolation methods for enabling navigation through it.

The solution of an arbitrary electromagnetic FE problem is categorized with respect to possible changes, due to chosen design parameters, within the solution itself and variations in the underlying mesh in order to find appropriate interpolation methods for the visualization of each type of parameter space.

The implementation is based on modifying the popular Visualization Toolkit (VTK).

The paper presents different solution approaches for the visualization of an interpolation between arbitrary different meshes, but the problem remains unsolved and requires further research.

This paper aims to explore if actions used at a hospital to manage a variable acute patient flow can be categorised using the concepts of lean, agile and leagile.

Empirical evidence from a university hospital was gathered by interviews, internal documents, shadowing and participation in meetings. Identified actions used at both hospital level and departmental level are categorised as lean or agile, while combinations of actions are compared with different leagile approaches.

Actions from every lean and agile category derived from literature are used at the hospital, however in varying extent. Many agile actions are reactive, indicating a lack of proactive measures. Actions that directly manage external variation are also few in numbers. Leagile approaches of all three combinations derived from literature are also used at the hospital.

As a single-case study is used, empirical generalisation to other hospitals cannot be deduced. Future research assessing the appropriateness of different actions for managing a variable acute patient flow is encouraged.

The use of actions within both lean and agile categories indicate the possibility of combining these process strategies in hospitals, and not only focusing on implementing lean. By cleverly combining lean and agile actions, leagile approaches can be formed.

The use of lean in health care has been a topic of research, while the use of agile has been sparsely researched, as well as the combination of the two.

Estimating the punching process’s impact on the operating parameters of an electrical motor is a special problem especially in the case of fractional power motors. The purpose of this paper is to discuss a method of numerical modelling that is useful for this case.

The proposed multi-physical FEM approach is based on using professional software in the process of modelling and determining the operating parameters of a low power motor. The basic elements of the approach are built FEM models for which the parameters characterising the damaged portions of the magnetic material were determined. The material properties of this zone were determined both by measurement and by a new analytical approach described in this paper.

The paper formulates the impact of punching on the operating parameters of a low power motor. Moreover, it formulates the analytical algorithm for the estimation of properties of material in damaged zones.

Experimental verification will still be needed to check the model’s accuracy and applicability to various magnetic materials.

The paper provides an easy approach enabling the calculation of motor operating parameters and a simple and useful algorithm to estimate magnetic material properties in the damaged zone.

The analytical algorithm, as presented here, in conjunction with the measurement results is useful and applicable to estimating the magnetic material properties, which form the basis for accurate FEM calculation.