Áron Szucs, Antero Arkkio and Tapani Jokinen
In the finite element analysis of electrical machines the multi‐conductor winding in a stator slot is usually modeled simply by a single conductor with constant current density…
Abstract
In the finite element analysis of electrical machines the multi‐conductor winding in a stator slot is usually modeled simply by a single conductor with constant current density. The size of a finite element problem due to the precise modeling of eddy currents in the multi‐conductor windings can be much larger compared to the single conductor model. The paper investigates a new FEM approach for the consideration of eddy‐currents in multi‐conductor windings surrounded by nonlinear media, a case typical in electrical machinery. The method, called elimination of inner nodes, is evaluated in the paper as a possible solution for multi conductor eddy current problems. The paper presents examples and concludes in what circumstances the method of elimination is efficient.
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Marek Rudnicki, Pekka Neittaanmäki and Tapani Jokinen
The paper is concerned with a design and a validation of a neurocontroller for a pulse magnetiser for magnetising permanent magnets. The goal is to register the peak time and…
Abstract
The paper is concerned with a design and a validation of a neurocontroller for a pulse magnetiser for magnetising permanent magnets. The goal is to register the peak time and crest current in order to pick up an optimal intermittent duty conditions regime for the magnetiser. This is usually done by solving a set of coupled ordinary differential equations describing current waveforms and the temperature rise in the magnetising winding. The neurocontroller is based on a one‐layer feedforward neural network which is trained using the Levenberg‐Marquardt learning rule. We present the results produced by the neurocontroller and we compare them with the numerical and measurement results. The neurocontroller is intended to serve later as a part of a global optimising algorithm.
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Aino Halinen, Sini Nordberg-Davies and Kristian Möller
Future is rarely explicitly addressed or problematized in business network research. This study aims to examine the possibilities of developing a business actor’s future…
Abstract
Purpose
Future is rarely explicitly addressed or problematized in business network research. This study aims to examine the possibilities of developing a business actor’s future orientation to network studies and imports ideas and concepts from futures research to support the development.
Design/methodology/approach
The study is conceptual and interdisciplinary. The authors critically analyze how extant studies grounded in the sensemaking view and process research approach integrate future time and how theoretical myopia hinders the adoption of a future orientation.
Findings
The prevailing future perspective is restricted to managers’ perceptions and actions at present, ignoring the anticipation and exploration of alternative longer-term futures. Future time is generally conceived as embedded in managers’ cognitive processes or is seen as part of the ongoing interaction, where the time horizon to the future is not noticed or is at best short.
Research limitations/implications
To enable a forward-looking perspective, researchers should move the focus from expectation building in business interaction to purposeful preparation of alternative future(s) and from the view of seeing future as enacted in the present to envisioning of both near-term and more distant futures.
Practical implications
This study addresses the growing need of business actors to anticipate future developments in the rapidly changing market conditions and to innovate and change business practices to save the planet for future generations.
Originality/value
This study elaborates on actors’ future orientation to business markets and networks, proposes the integration of network research concepts with concepts from futures studies and poses new types of research questions for future research.