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In this paper, a computational model of a coaxial magnetic gear (MG) design with viscose ferrofluid between rotors is proposed. Viscose ferrofluid is used to decrease the magnetic reluctance and therefore creates higher magnetic torque. However, viscose friction of ferrofluid is undesirable and must be minimised in this particular application. MG is supposed to operate under low rotational speeds, where the dynamic viscose friction is very low, and the effects of the viscose ferrofluid over the MG’s efficiency must be estimated. The paper aims to analyze the performance of MG with viscose ferrofluid and to estimate the MG efficiency by computational model using finite element method (FEM).

An MG design with viscose ferrofluid between the outer low-speed rotor and modulating steel segments was modelled as a coupled transient magnetic field problem and a kinematic model with viscous friction coefficients derived from a previously computed fluid dynamics model.

The proposed computational implementation is suitable for homogeneous magnetic fluid modelling in electromagnetic actuators and rotational machines. The results regarding power and torque transmission of MG were obtained by coupled finite element modelling. The efficiency of MG significantly decreased due to ferrofluid friction.

The described MG design with viscose ferrofluid is a novel device with new operational characteristics, and new results for the effects of viscose ferrofluid friction in the outer magnetic field over the MG efficiency are estimated.

The purpose of this paper is to develop an inverse approach for 3D thermal sources determination.

The developed approach is based on the Green's function for Poison's equation. Forward and inverse couple electromagnetic‐thermal field problems are formulated. Finite elements models are built and applied. Thermal field data are acquired by thermo vision camera. The thermal field sources are determined inside of the investigated inaccessible volume object using modeled and measured data with the developed approach.

The presented method and implemented examples demonstrate the possibilities of the developed approach for inverse source problem solution and determination of thermal field distributions of electrical devices.

The proposed inverse method uses the Green's function for Poison's equation for solution of thermal field problem taking into account the couple electromagnetic‐thermal problems. Proposed inverse method is very fast, accurate and can be used in many practical activities for electrical current determination and visualization in inaccessible regions only by measured external thermal field. Thermal field data needed for the method are easily acquired by thermo vision camera.

This study, based on craft beer brands, aims (1) to explain the importance of four brand authenticity dimensions (continuity, originality, reliability and naturalness) in consumers' perceptions of brand image; (2) to verify if the brand–consumer emotional relationship (brand love) is enhanced by the consumer's perceptions of the brand's image; (3) to verify if the consumer's perceptions of the brand's image increase brand satisfaction; and (4) to verify if brand satisfaction increases brand love.

Data were collected from consumers of different craft beer brands to evaluate the assumptions underlying the proposed conceptual model. In total, 175 questionnaire responses were used, and the model was estimated through structural equation modelling (SEM) with partial least squares (PLS).

The results confirmed that brand authenticity is a strong antecedent of the brand image of craft beers, and that brand image affects both consumer brand satisfaction and brand love. The effect of brand satisfaction on brand love has also been confirmed. Craft beer brands should aim to attract more fan-consumers, i.e. consumers who seek an emotional relationship that manifests itself in affection, beauty, well-being and long-term commitment. Fan-consumers give their hearts/love and recommend the brand.

The paper tries to fill two gaps in the literature. First, we make the initial empirical application of the Bruhn et al. (2012) scale and verify its adequacy in this context. Second, this is the first time that the model's design has been validated. The results allow us to confirm that authenticity is an antecedent of brand image, and its simultaneous impact on the consumer's brand love for, and satisfaction with, craft beer brands.