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Computational Thermal Sciences: An International Journal

年間 6 号発行

ISSN 印刷: 1940-2503

ISSN オンライン: 1940-2554

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.5 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00017 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

OPPORTUNITIES TO REDUCE FUEL CONSUMPTION OF A DUTY VEHICLE

巻 9, 発行 2, 2017, pp. 109-119
DOI: 10.1615/ComputThermalScien.2017017913
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要約

Presently, environmental protection and ecology generally have become very important political subjects, for industrialized countries as well as at the international level. Atmospheric pollution is mainly due to road traffic downtown. To assess fuel consumption for duty vehicles we combine engine consumption maps with engine operating conditions as calculated by a vehicle simulation model. The model takes into account the vehicle characteristics (engine, transmission, etc.), including load, and characteristics of the route taken (road gradients and curves, speed limits, stops). This model calculates instantaneous operating conditions, in particular, the engine torque and speed, which in turn enables the calculation of fuel consumption. The fuel consumption was calculated for a small 3.5 ton duty vehicle. Simulated operating conditions correspond to highway, main road, and steady vehicle speeds for various values of road gradient, vehicle mass, rolling coefficient, aerodynamic coefficient; physically and empirically based methods are usually considered in modelling fuel consumption and emissions. The model uses vehicle parameters and second-by-second driving traces as inputs, and estimates second-by-second fuel consumption rates. This contribution deals with the possibilities of improving fuel consumption with constrictive measures pertaining to the vehicle, to the engine, and the gearing. These modifications are explained and listed. It has, however, become clear that the same performance at a reduced fuel consumption will only be realized in traffic if the driver acts accordingly and if the roads are suitably constructed.

によって引用された
  1. Durković Radan, Grujičić Rade, An approach to determine the minimum specific fuel consumption and engine economical operation curve model, Measurement, 132, 2019. Crossref

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