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In the electromagnetic field simulation of modern servo drives, the computation of higher time and space harmonics is essential to consider appearing torque pulsations, radial forces and ripple torques. The purpose of this paper is to propose a method to cover the effect of saturation on the armature flux density within conformal mapping (CM) by an finite element (FE) re‐parameterization.

Field computation by CM techniques is a time‐effective method to compute the radial and tangential field components, but it generally neglects the effect of saturation.

This paper presents a method to re‐parameterize the CM approach by single FE computations so as to consider saturation in the model over a wide operation range of the electrical drive.

The proposed method is applied to a surface permanent magnet synchronous machine, and compared to numerical results obtained by finite element analysis (FEA).

The paper shows that an accuracy similar to that of FE simulations can be obtained with still the low‐computation time that is the characteristic of analytical models.

In the optimisation of electrical drives, the required degree of detail in the simulation increases constantly. Especially, the industrial demand on multi‐objective optimisation craves for highly efficient models. The purpose of this paper is to propose a hybrid model for the computation of the air‐gap field of a permanent magnet synchronous motor (PMSM) combining analytic and numeric methods.

The classic conformal mapping (CM) approach is improved by the numeric approximation of the required ansatz‐functions. This approach allows to consider the non‐linear permeability of the applied materials and complex geometries. The non‐linear permeance‐function is described by a one‐dimensional wave varying in time and space.

The permeance‐function has to be derived for different load cases at the actual stage.

A physical motivated modelling allowing for an appropriate interpolation between different load cases is planned in further research.

The proposed approach is applied to a surface mounted PMSM. It is validated by means of a non‐linear finite element analysis.

The hybrid model offers to consider rotors with buried magnets using the CM approach. It is possible to either use analytic or numeric modelling of rotor ansatz‐function, stator current ansatz‐function and permeance‐function with the proposed approach. Non‐linear permeability of iron is modelled by means of a wave representation of the permeance‐function. This can significantly reduce the computational cost in the design and optimisation stage of electrical machines.

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.

The purpose of this paper is to consider thermal analysis as part of an automated sizing and design process. The temperature estimation at characteristic points of the machine, and in particular in permanent magnets, is essential to accurately simulate the electromagnetic behavior and avoid irreversible demagnetization.

In this paper, an electromagnetic dimensioning model, parameterized by finite element analysis, is coupled to a thermal lumped‐parameter model to constitute a fast and efficient design tool for electrical machines.

A parameterized and hybrid FE‐analytical electromagnetic model, which combines analytical and numerical advantages, to archive a fast and accurate electromagnetic simulation results is combined with a thermal lumped‐parameter model for water‐cooled and passive air‐cooled surface mounted permanent magnet synchronous machines (PMSM).

Sizing, electromagnetic and thermal modeling aspects are integrated into an automated design process. The whole design process is demonstrated on two standard industrial servo motors for passive and active water cooling and afterwards compared with available measurements.

The proposed method allows considering thermal aspects during the iterative automated electromagnetic design process of PMSM.

Spatial ability is essential for engineers’ professional performance. Several studies describe it as a skill that can be enhanced using new technologies. Virtual reality (VR) is an emerging technology that is proving very useful for training different skills and improving spatial perception. In this chapter, the authors firstly present some previous works that use VR to train students, mainly in the area of engineering studies, and which demonstrate that VR can improve some aspects of the spatial perception. This study took a group of engineering students who used VR technologies to carry out learning activities designed to improve their spatial perception, which was measured with a widely used spatial ability test. The results obtained confirm that the use of VR technologies can improve students’ spatial perception. This proposal is easily transferable to other educational contexts. On the one hand, it could be implemented to improve spatial ability in other engineering studies, and on the other hand, with simple adaptation, it could be used to enhance other skills.

The purpose of this article is to propose one possible framework for conceptualizing the preparation of leaders for social justice. To this end, three central questions guided this conceptualization: “What are the common themes in the literature and research on preparing leaders for social justice?”; “How can this framework serve as a guide for developing a course, set of courses, or an entire program toward preparing leaders to lead socially just schools?”; and “How can this literature and conceptualization inform future scholarship in administrator preparation?”.

This work included a review of 72 pieces of literature. To address the research questions, the growing body of leadership for social justice literature was reviewed. Each of these articles was analyzed and explicit recommendations for preparing school leaders noted. These recommendations were then catagorized into the proposed framework.

Three domains: critical consciousness; knowledge; and practical skills focused on social justice are positioned on the horizontal dimension of the framework. To achieve these ends, requires curriculum, pedagogy, and assessment oriented toward social justice – the vertical dimension of the framework.

It is suggested using this framework to guide the review and development of administration preparation programs whose aim is to prepare socially just leaders. Additionally, this article calls for increased attention to assessing preparation programs and how they prepare leaders for social justice.

Based on a synthesis of findings from psychology, neuroscience, and machine learning, we propose a unified theory of curiosity as a form of motivated cognition. Curiosity, we propose, is comprised of a family of mechanisms that range in complexity from simple heuristics based on novelty, salience, or surprise, to drives based on reward and uncertainty reduction and finally, to self-directed metacognitive processes. These mechanisms, we propose, have evolved to allow agents to discover useful regularities in the world – steering them toward niches of maximal learning progress and away from both random and highly familiar tasks. We emphasize that curiosity arises organically in conjunction with cognition and motivation, being generated by cognitive processes and in turn, motivating them. We hope that this view will spur the systematic study of curiosity as an integral aspect of cognition and decision making during development and adulthood.

Set against a background of numerous institutionally funded programmes with a focus on gender mainstreaming, the purpose of this paper is to draw on institutional theory as an alternative lens to explain why such programmes often fail to achieve the desired outcomes.

The paper is based on a case of a European Social Fund EQUAL Programme aimed at enhancing employment opportunities for women in Information Technology, Electronics and Communication and related sectors. The paper focuses on the partnership working aspect, which is a fundamental mobilizing structure of European Commission programmes. Insights into the experiences of partnership working were gathered from interviews with 18, out of the 24 participating partners, on this specific programme.

Tensions with partnership working are exposed and discussed: frustration with intra-organizational collaborative working and structures and outputs that promote a mimetic approach to change, legitimized through the symbolic use of “best practice”; findings more consistent with “institutional isomorphism”, as opposed to “institutional innovation”.

Given that partnership working remains a key mobilizing structure of gender mainstreaming programmes, both within Europe and in other contexts, the paper concludes with recommendations aimed at those responsible for commissioning and overseeing such programmes.

This paper draws on institutional theory as an alternative lens to examine and explain why gender mainstreaming programmes do not always achieve the intended outcomes. To date, as others acknowledge, there has been limited work that has applied organizational theory to this problem.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Tenn. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.