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This paper aims to propose an energetic model parameter calculation method for predicting the materials’ symmetrical static hysteresis loop and asymmetrical minor loop to improve the accuracy of electromagnetic analysis of equipment.

For predicting the symmetrical static hysteresis loop, this paper deduces the functional relationship between magnetic flux density and energetic model parameters based on the materials’ magnetization mechanism. It realizes the efficient and accurate symmetrical static hysteresis loop prediction under different magnetizations. For predicting the asymmetrical minor loop, a new algorithm is proposed that updates the energetic model parameters of the asymmetrical minor loop to consider the return-point memory effect.

The comparison of simulation and experimental results verifies that the proposed parameters calculation method has high accuracy and strong universality.

The proposed parameter calculation method improves the existing parameter calculation method’s problem of relying on too much experimental data and inaccuracy. Consequently, the presented work facilitates the application of the finite element electromagnetic field analysis method coupling the hysteresis model.

This paper aims to present new analytical model for the filling times prediction in flip-chip underfill encapsulation process that is based on the surface energetic for post-bump flow.

The current model was formulated based on the modified regional segregation approach that consists of bump and post-bump regions. Both the expansion flow and the subsequent bumpless flow as integrated in the post-bump region were modelled considering the surface energy–work balance.

Upon validated with the past underfill experiment, the current model has the lowest root mean square deviation of 4.94 s and maximum individual deviation of 26.07%, upon compared to the six other past analytical models. Additionally, the current analytically predicted flow isolines at post-bump region are in line with the experimental observation. Furthermore, the current analytical filling times in post-bump region are in better consensus with the experimental times as compared to the previous model. Therefore, this model is regarded as an improvised version of the past filling time models.

The proposed analytical model enables the filling time determination for flip-chip underfill process at higher accuracy, while providing more precise and realistic post-bump flow visualization. This model could benefit the future underfill process enhancement and package design optimization works, to resolve the productivity issue of prolonged filling process.

The analytical underfill studies are scarce, with only seven independent analytical filling time models being developed to date. In particular, the expansion flow of detachment jump was being considered in only two previous works. Nonetheless, to the best of the authors’ knowledge, there is no analytical model that considered the surface energies during the underfill flow or based on its energy–work balance. Instead, the previous modelling on post-bump flow was based on either kinematic or geometrical that is coupled with major assumptions.

The paper highlights the process of electric vehicles optimal design as an inverse problem and presents the global constrained optimization as the best way to solve it.

The electric vehicle optimal design is carried out by a new approach. It consists an electric vehicle design model managed by constrained optimization techniques. It includes sizing models for all drive train components and a vehicle dynamic model build in a new “design way” as an energy‐based model using the response surface methodology. The sensitivity of first simple sizing models can be evaluated by the experimental design method, giving information about the most important part of the model that must be improved.

The result shows the superiority of the constrained optimization technique that treats simultaneously the global optimization and the model adjustment. This method of simultaneous resolution is much more powerful than the successive resolution of each subproblem. The proposed “design approach” used for electric vehicle optimal design offer a large potential in the field of the complex systems design.

The electric vehicle design process is treated on a vehicle design model based on a design approach. It allows determining the drive train components specifications for imposed vehicle performances, taking into account the dynamic model of the vehicle and all components interactions. Furthermore, considering fine components sizing models, the components can be sized taking into account the whole system behavior in an optimal global design.

Every independent organization would sincerely like to have competent, loyal and engaged people, as engaged persons are typically those who have significant attachment and active involvement in their organization. Without engaging people, high quality and productivity will not be achieved. The purpose of this study is to explore the impact of organizational culture derived from Tunisian customs of firm performance. Tunisian subcultures may not be represented in the national culture.

This study carefully examines the impact of organizational culture on firm performance of Tunisian small and medium-sized enterprises. Results from 100 organizations and companies were collected using questionnaires for data collection analysis from employees occupying various positions in different hierarchical levels. Statistics used are tested by ordinary least squared regression. Furthermore, response bias, validity and reliability were the most important points examined by researchers.

These results reveal and confirm that the charisma that has been perceived by employees as energy state has an impact on the performance of the organization, regardless of the moderating effect of the uncertainty of the environment. Moreover, this study also showed that organizational culture has a significant effect on firm performance as well as on the interpretation of the organization, which depends on charisma.

The implication is that even in a country with many subcultures, excellent management still needs to pay attention to the impact of national culture at the organizational level on job attitude, work ethics and employee engagement, which are however, very limited. It is expected that this finding can contribute to the organization in that management becomes aware of the personality of the employees during their recruitments, especially the chief characteristic of being energetic. Managers need to create a conductive and rewarding environment for individuals to contribute positively.

Affect is a dynamic construct that varies over time and can significantly influence motivation and performance in organisational contexts. This chapter addresses key conceptual and methodological challenges that arise when aiming to measure affect as a within-person process. The literature has been divided on whether the structure of affect is unipolar or bipolar and no research has considered this structure across levels of analysis. Measuring affect as a within-person process also requires a brief scale that can be administered with minimal disruption. This chapter presents data that provide evidence for bipolarity in the structure of affect. We use these data to validate the momentary affect scale, which is a new brief affect scale that can be used in within-person research designs and applied settings.

Burden transport is a ubiquitous primate behavior. Modern humans, however, take this primate tendency and extend it to a behavioral repertoire that influences many of our daily activities and almost certainly helped shape our physical and behavioral form. I examine the transportation of food in the context of central place foraging, from the perspective of maximizing energy acquisition. A detailed model of the energetic cost of burden transport is presented and its sensitivity to the variables of body mass, burden mass, terrain, incline and velocity discussed.

The purpose of this paper is to extend statistical energy analysis (SEA)‐like modeling to fluid‐structure coupled systems.

An equivalent approach of aerodynamic loads is applied to a SEA‐like modeling of a panel‐cavity coupled system with rain‐on‐the‐roof excitation. Two aerodynamic excitations are presented: turbulent boundary layer (TBL) and diffuse field excitation. The energetic description of the coupled system is studied with both aerodynamic excitations, taking in account the coincidence effects. In order to extent the approach to more general systems, some parameters of the coupled system are also modified and the accuracy of the coupled system modeling is investigated.

The boundary conditions of the panel and the coupling strength between the panel and the cavity have been modified. As it was expected, the accuracy of equivalent approach is shown to be independent of such modifications. The interest of such calculation is thus highlighted: modelings of systems and aerodynamic excitations are independent, and can be treated separately.

This result is interesting in the space industry, for launch vehicles are excited by different types of random excitations. Those excitations can be modeled by SEA‐like with low calculation time and memory and applied to a unique system modeling.

An energetic model for walking robots based on both dynamic and actuator models is proposed in this paper. While applied to walking machines, this method allows the evaluation of the influence of leg configuration, body weight, and gait parameters on power consumption. The model is validated by using genetic algorithms to identify the unknown parameters, which enables it to be used as a tool to evaluate and optimize the performance of a legged robot configuration according to the power consumption. This method has been applied to find the optimum stride length for the minimum energy expenditure of a biped prototype depending on the speed and payload, considering both level and slope walking.

The purpose of this paper is to present a model to describe the nonlinear and hysteretic properties of ferromagnetic materials.

The energetic model of ferromagnetic hysteresis evolved from some well‐known concepts in ferromagnetism in the last years. The magnetisation process is calculated from energy balance and statistical domain behaviour. Based on vectorial, anisotropic, multi‐domain considerations an isotropic, scalar model is derived, which gives quite simple equations to describe the nonlinear, hysteretic magnetisation process.

The presented simulations for steel samples and ferrite samples show very nice correspondence with measurements.

The scalar model seems to be especially suited for integration into finite element modelling or into simulations of electro‐magnetic circuits.

This paper aims to present the basic assumptions for creation of social Fröhlich condensate and attract attention of other researchers (both from physics and socio-political science) to the problem of modeling of stability and order preservation in highly energetic society coupled with social energy bath of high temperature.

The model of social Fröhlich condensation and its analysis are based on the mathematical formalism of quantum thermodynamics and field theory (applied outside of physics).

The presented quantum-like model provides the consistent operational model of such complex socio-political phenomenon as Fröhlich condensation.

The model of social Fröhlich condensation is heavily based on theory of open quantum systems. Its consistent elaboration needs additional efforts.

Evidence of such phenomenon as social Fröhlich condensation is demonstrated by stability of modern informationally open societies.

Approaching the state of Fröhlich condensation is the powerful source of social stability. Understanding its informational structure and origin may help to stabilize the modern society.

Application of the quantum-like model of Fröhlich condensation in social and political sciences is really the novel and original approach to mathematical modeling of social stability in society exposed to powerful information radiation from mass-media and Internet-based sources.