Electric-motion in Romania — Overview: Study on machining parameters of EV charging station mechanical components
This paper presents some relevant aspects of charging infrastructure for electric vehicles in Romania. It evidences the charging station and fast charging stations designed and installed by the first Romanian company dedicated 100% to e-mobility, E-Motion Electric. Also, a study on machining (milling) parameters of some mechanical components of electric vehicle (EV) charging station is done and, finally, the regression model for these parameters is determined. This model would be further used for machining process optimization.
Electric-Motion Infrastructure in Romania - Research on Machining Processes of Mechanical Components of e-Motion Charging Station
Aspects of electric vehicles specific infrastructure in Romania are evidenced by this paper. The focus is on charging station and fast charging stations designed and installed by the first Romanian company dedicated 100% to e-mobility, E-Motion Electric. Research on machining processes, milling and drilling, of the mechanical components of these stations is also presented. A system for measuring the values of machining forces, data acquisition and processing, as well as real time control scheme does also represent innovation in this paper. The regression models, determined by statistical data processing, should be applied in optimization of machining process.
Journal relatedness: An actor-actor and actor-objectives case study
Using the MACTOR (Matrix of Alliances and Conflicts: Tactics, Objectives and Recommendations) method, a set of 13 related journals covering the subject category “Chemistry, Multidisciplinary” was analyzed in terms of direct and indirect reciprocal influences (measured by relatedness indexes Rji), their positions towards a generic set of common objectives (total cites; impact factor; immediacy index; number of published articles; cited half life) and the convergences (Actors x Actors and Actors x Objectives) existing in the above-mentioned relatedness network. The study identified 4 types of actors: dominant (3), independent (8), relay (1) and dominated (1). Maps of: influences and dependences between actors; convergence between actors; net distances between actors and actors-objectives relationships are presented, together with short interpretations. Defining scientific journals as actors on a specific “knowledge market”, identifying influences and dependences between them and positioning these journals towards a set of measurable objectives creates an interesting possibility to define “relationships of power” of a strategic nature and enables the introduction of more complex future-oriented scientometric analyses than those based solely on standard bibliometric indicators such as the impact factor.