This paper addresses producing new recipes of environmentally friendly high octane gasoline fuel grades RONs 92 and 95. In addition, preliminary mathematical digital model for evaluating a comprehensive merit function of automotive gasoline for newly proposed fuel motor compositions was developed to maximize gasoline performance and decrease emissions when operating gasoline engines at various conditions. Physical and chemical characteristics of these innovative gasoline recipes were investigated in accordance with standard test methods regulations. The vast expertise of this laboratory work has obviously reported that fuel compositions samples contained the following concentrations by weight percentage, i.e., light condensate naphtha – 46–56, isopentane fraction – up to 4, aromatic components – up to 20, MTBE –14–15, isoolefins hydrocarbons – 15–16, and isooctane – up to 20. The key hypothesis of the merit function was improved gasoline efficiency and reduce exhaust emissions when operating gasoline engines at various conditions. The results reported that calculated values obtained for developed compositions turned out to be slightly higher than for baseline gasolines. These mean that the proposed gasoline composition was more efficient when operating gasoline engine at this condition.įuels with high-knock resistance enable modern spark-ignition engines to achieve high efficiency and thus low CO2 emissions. Identification of molecules with desired autoignition properties indicated by a high research octane number and a high octane sensitivity is therefore of great practical relevance and can be supported by computer-aided molecular design (CAMD). Recent developments in the field of graph machine learning (graph-ML) provide novel, promising tools for CAMD. We propose a modular graph-ML CAMD framework that integrates generative graph-ML models with graph neural networks and optimization, enabling the design of molecules with desired ignition properties in a continuous molecular space. In particular, we explore the potential of Bayesian optimization and genetic algorithms in combination with generative graph-ML models.
The graph-ML CAMD framework successfully identifies well-established high-octane components. There were no bugs or crashes recorded during our tests.It also suggests new candidates, one of which we experimentally investigate and use to illustrate the need for further auto-ignition training data. The large number of files supported for import or export, and the various templates make it efficient and a smart acquisition.
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Exporting is available in the following formats: RRP, WMV, AVI, MP4 and BMP.Īll in all, RaceRender is a very easy-to-use program that enables people to create videos with picture-in-picture or split-screen display, as well as 3D ones. RaceRender supports a very long list of file formats that can be imported, such as MPG, WMA, BMP, JPG, GIF, PNG, PIC, TXT, CSV, MSL, MP3, AVI, and ASF. The application even contains some 3D anaglyph and cross examples. They were created so that you can easily and quickly produce motorsport videos from multiple cameras, without using expensive video processing hardware.
The program comes with a large number of templates that you can choose from when opening a new project. In case you cannot figure out how the tool works, you should know there are extensive Help contents provided by the developers, both online and offline. There are a lot of shortcut buttons on the top and bottom of the screen, which enable you to open and save projects, play, pause, stop, step forward or backward, and the list goes on. The main window presents a lot of options, so as to facilitate ease of use. In addition to that, any type of person is going to find the UI very easy to work with, no matter their previous experience with the world of IT.
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The interface of the program is outdated, resembling the design present in the Windows 98 or 95 operating systems.
#Racerender 2 software#
RaceRender is a handy piece of software that enables you to easily create videos that make use of picture-in-picture overlays, split-screens, camera switching and transparency.
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