automobile design
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2021 ◽  
pp. 13-22
Author(s):  
Serhii Shuklinov ◽  
Anatoly Uzhva ◽  
Mikhail Lysenko ◽  
Anastasia Tishenko ◽  
Yevgeniya Novikova

Problem. The disadvantage of current dependences for determining the acceleration indicators at engine maximum brake power and driving tire-to-surface friction coefficients is that they are adequate only if the engine and transmission parameters provide power input to the drive wheels rolling without slipping regardless to speed. To eliminate this drawback, it is necessary to take into account that the power input to the drive wheels depends on the engine shaft speed, and therefore on the speed of the vehicle when accelerating. Goal. The purpose of the work is to further develop the theory of the automobile by improving the dependencies that allow determining the automobile acceleration rates and assessing the nature of its acceleration process from the design factors. Methodology. The approaches taken to achieve this goal are based on laws of physics, theoretical mechanics and the theory of automobile. Results. Analytic dependences for determining maximum and limiting automobile acceleration when speeding up depending on its design factors and speed have been improved. Dependences for determining the range of drive wheel slipping on the automobile speed when accelerating and the limiting automobile acceleration under the condition of its pitch stability have been obtained. When studying the automobile acceleration process theoretically it was found that the developed dependences allow determining the nature of automobile movement and assessing the influence of its design factors on the acceleration indicators. Originality. The obtained dependences for determining the maximum and limiting acceleration, the range of driving speeds with wheel slip when automobile accelerating allowed us to clarify the idea of the nature of movement during acceleration and the influence of automobile design factors on the acceleration indicators. Practical value. The obtained dependences can be used in designing new and improving racing cars such as dragsters, and analysing the dynamics of the vehicle when accelerating with full fuel delivery and determining the nature of driving tire-to-surface friction depending on the driving speed.


Author(s):  
Wei Wu ◽  
C. B. Sivaparthipan ◽  
Ivan Sanz-Prieto

Automobile architecture is a crucial phase in the process of design. The model assessment process in the hybrid vehicle modeling assessment becomes more in-depth, and designers exchange ideas. The critical aspect of automotive modeling is that various models have varying views on vehicle styling. The evaluation process is long, complicated, and efficient in automotive simulation. The evaluation process takes time. Therefore, in the paper, an Automobile Modelling Optimization Design Based on Virtual Reality Technology (AMOD-VRT) is proposed to improve automobile modeling and design research to be more interactive. Computational Design Method is used to create and design the entire vehicle as well as its surrounding environment. An Integrated Virtual Analysis can enclose the models mentioned above and create a virtual environment in which the user can interact to design a model virtually by themselves. The paper provides complete virtual design modeling of an automobile, allowing the user to work more efficiently based on the results. By applying virtual reality technology in the automobile design phase, interactive and network-based remote research on automobile modeling can make the automobile design progression more appropriate, easier to communicate with designers and decrease automobile design’s development cost and cycle. The simulation analysis is performed based on safety, performance, and efficiency, proving the reliability of the proposed framework. Various parameters obtain the simulation results on automobile design as the automobile vehicle design performance ratio is 87.16%, increasing the visual effects in AMOD ratio is 88.77%, improving visual effects with optimized design ratio is 84.5%, interaction and collaboration of automobile modeling ratio are 82.26% and reduce vehicles accident using virtual reality ratio is 93.80%. The computer-based virtual reality technology in the automotive industry can effectively accelerate new product development in the future.


Author(s):  
Rich Caruana ◽  
Yin Lou

Various challenges in real life are multi-objective and conflicting (i.e., alter concurrent optimization). This implies that a single objective is optimized based on another’s cost. The Multi-Objective Optimization (MOO) issues are challenging but potentially realistic, and due to their wide-range application, optimization challenges have widely been analyzed by research with distinct scholarly bases. Resultantly, this has yielded distinct approaches for mitigating these challenges. There is a wide-range literature concerning the approaches used to handle MOO challenges. It is important to keep in mind that each technique has its pros and limitations, and there is no optimum alternative for cure searchers in a typical scenario. The MOO challenges can be identified in various segments e.g., path optimization, airplane design, automobile design and finance, among others. This contribution presents a survey of prevailing MOO challenges and swarm intelligence approaches to mitigate these challenges. The main purpose of this contribution is to present a basis of understanding on MOO challenges.


Author(s):  
I. D. Wijegunawardana ◽  
W.R. De Mel

Automobile engineering often demands creative and innovative concepts to achieve their performance and efficiency targets. However, the strategies used to create these concepts are evolving with time. Recently, heightened attention has been noticed to using biomimetic concepts in the field of automobile design. The studies that apply biomimicry to automobile design often exhibit improvements in vehicle performance and fuel efficiency. Consequently, biomimetic concepts have extended an opportunity to the automobile industry to generate futuristic designs with advanced technology. However, the innovations and inventions in biology are usually published with more complex terminology that is not convenient for the research community working on automobile engineering. Hence, a notable delay is present in transferring the recent discoveries in biology to engineering researches so that they can develop strategies to mimic them. The purpose of this paper is to provide a brief overview of the biomimetic design approaches that have been and can be used in automobile design. In addition, the paper includes a classification of biomimetic concepts, which reveals the current research interests and highlights the areas with a deficit of research that is required to be addressed extensively in the future.


2021 ◽  
Vol 1 ◽  
pp. 2921-2930
Author(s):  
Daniel Holder

AbstractFor the user perception of vehicles and consequently the success of automobile design, the body layout and especially the proportions of vehicles are pivotal. In the present study, the SAE main dimensions length (L108), wheelbase (L101), height (H100) and width (W103) of 697 vehicles from different OEMs were examined. The analysis reveals a tendency of increasing length, wheelbase and especially width of vehicles in recent years. Regarding the ratios of these dimensions there are clear correlations, as revealed by an analysis with linear regression. We find particular strong synchrony in the increases of the pairs W103 - L108 and L101 - L108 and lesser so between the ratio E = L108/L101 and the vehicle length. The latter can be explained by vehicles with a high L108 being less compact, i.e. the proportion E increases. Finally, it is discussed whether technological changes lead to revolutionary or evolutionary changes in dimensions. The historical development and the moderate proportional changes of BEVs indicate a measurable but evolutionary development. In contrast, disruptive technologies such as automated driving can significantly change the vehicle layout and thus encourage a more revolutionary change in proportions.


2021 ◽  
pp. 1-13
Author(s):  
Jingfeng Shao ◽  
Zhigang Yang

Automobile styling design is an important part of the design chain. In the traditional automobile modeling evaluation, the process of project evaluation is more in-depth, and designers exchange ideas. Different designers have different evaluations of automobile styling. The evaluation process lasts a long time, which leads to the design cycle being too long and the efficiency of automobile modeling evaluation is greatly reduced. The introduction of virtual reality in automobile modeling evaluation can effectively optimize the evaluation process and promote the rapid adjustment of the model on the basis of development. From the virtual reality system based on mechanical engineering, we only need the parameters of the car model to observe the actual situation through VR technology, and use the measurement tools to directly and accurately evaluate the driver’s field of vision. Through the application of virtual reality technology in the automobile design stage, the interactive and network-based remote research on automobile modeling will also make the automobile design process more convenient, easier to communicate with designers, and reduce the development cycle and cost of automobile design.


2021 ◽  
Vol 30 (1) ◽  
pp. 73-86
Author(s):  
M. M. Bazhutina

The paper deals with the technology for the creation and use of an individual multimedia bilingual thesaurus as a tool for the integration of the foreign language and engineering disciplines at a technical university. The stages of designing and testing an individual thesaurus in vocational English language classes with students, majoring in automobile engineering, are described. Building on the achievements in thesaurus modelling in integrative foreign languages and professional disciplines teaching, the author presents her own technology for creating an individual English-Russian multimedia thesaurus, devoted to the automobile design, and the sequence of formation of speech skills in foreign language communication of engineers on its basis. The process of creating such thesaurus takes place at two levels of integration: intra-subject (interrelationship of all types of speech activity) and interdisciplinary (didactic synthesis of language and engineering disciplines). At the same time, the author outlines the areas of the near and further integration of the discipline «Professional English» and engineering disciplines, which is aimed at developing interdisciplinary thinking of engineering students. The author emphasizes the fact that successful teaching cross-cultural engineering communication requires outlining the content of learning situations, the modelling of which is the English language instructor’s responsibility. In order to organize this work, students are supposed to create a contextual part of the thesaurus from which the instructor singles out speech patterns. The selected speech patterns are mastered in a series of exercises and tasks prior to learning situations. The conclusion outlines ways of the further interdisciplinary integration by means of thesaurus modelling of professional subject areas.


2020 ◽  
Author(s):  
John Ioannidis ◽  
Maia Salholz-Hillel ◽  
Kevin Boyack ◽  
Jeroen Baas

Importance: COVID-19 is a major global crisis and the scientific community has been mobilized to deal with this crisis. Objective: To estimate the extent to which the scientific workforce in different fields has been engaged publishing papers relative to the COVID-19 pandemic. Design, setting, and participants: We evaluated Scopus (data cut, December 1, 2020) for all indexed published papers and preprints relevant to COVID-19. We mapped this COVID-19 literature in terms of its authors across 174 subfields of science according to the Science Metrix classification. We also evaluated the extent to which the most influential scientists across science (based on a composite citation indicator) had published COVID-19-related research. Finally, we assessed the features of authors who published the highest number of COVID-19 publications and of those with the highest impact in the COVID-19 field based on the composite citation indicator limited to COVID-19 publications. Main outcomes and measures: Publishing scientists (authors) and their published papers and citation impact. Results: 84,180 indexed publications were relevant to COVID-19 including 322,279 unique authors. The highest rates of COVID-19 publications were seen for authors classified in Public Health and in Clinical Medicine, where 11.3% (6,388/56,516) and 11.1% (92,570/833,060) of authors, respectively, had published on COVID-19. Almost all (173/174) subfields (except for Automobile Design & Engineering) had some authors publishing on COVID-19. Among active scientists at the top 2% of citation impact, 15,803 (13.3%) had published on COVID-19 in their publications in the first 11 months of 2020. The rates were the highest in the fields of Clinical Medicine (27.7%) and Public Health (26.8%). In 83 of the 174 subfields of science, at least one in ten active, influential authors in that field had authored something on COVID-19. 65 authors had already at least 30 (and up to 133) COVID-19 publications each. Among the 300 authors with the highest composite citation indicator for COVID-19 publications, 26 were journalists or editors publishing news stories or editorials in prestigious journals; most common countries for the remaining were China (n=77), USA (n=66), UK (n=27), and Italy (n=20). Conclusions and relevance: The scientific literature and publishing scientists have been rapidly and massively infected by COVID-19 creating opportunities and challenges. There is evidence for hyper-prolific productivity.


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