ANALYSIS OF OPERABILITY OF THE SPECIAL VEHICLE TRANSMISSION

Author(s):  
M. V. Lyashenko ◽  
V. V. Shekhovtsov ◽  
P. V. Potapov ◽  
A. I. Iskaliev ◽  
A. A. Shvedunenko

The work is devoted to the analysis of the transmission of a special vehicle (SV) for moving on various surfaces, in particular on stepped ones, designed for people with disabilities. Based on the analysis of various vehicles for the movement of people with disabilities, a model of a SV was created. The main difference of proposed SV is the possibility of using the movement of the passenger՚s center of mass relative to the chassis of a SV for stabilization of the movement. A kinematic scheme of the SV transmission which includes the planetary reducer was created. The reducer provides movement of SV at various modes. Also SV transmission was modeled in the Solidworks software. The analysis of the performance of this transmission when moving a SV on various surfaces was made on base of created 3D-model. Based on the analysis, the efficiency of the transmission of a SV was proved both when moving on a straight surface, and in walking mode when overcoming steps.

Author(s):  
Qi Cheng ◽  
Shuchun Wang ◽  
Xifeng Fang

The existing process equipment design resource utilization rate in automobile industry is low, so it is urgent to change the design method to improve the design efficiency. This paper proposed a fast design method of process equipment driven by classification retrieval of 3D model-based definition (MBD). Firstly, an information integration 3D model is established to fully express the product information definition and to effectively express the design characteristics of the existing 3D model. Through the classification machine-learning algorithm of 3D MBD model based on Extreme Learning Machine (ELM), the 3D MBD model with similar characteristics to the auto part model to be designed was retrieved from the complex process equipment case database. Secondly, the classification and retrieval of the model are realized, and the process equipment of retrieval association mapping with 3D MBD model is called out. The existing process equipment model is adjusted and modified to complete the rapid design of the process equipment of the product to be designed. Finally, a corresponding process equipment design system was developed and verified through a case study. The application of machine learning to the design of industrial equipment greatly shortens the development cycle of equipment. In the design system, the system learns from engineers, making them understand the design better than engineers. Therefore, it can help any user to quickly design 3D models of complex products.


2007 ◽  
Vol 1 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Q. Chen ◽  
J. Yao ◽  
W.K. Cham

2020 ◽  
Vol 52 (2) ◽  
pp. 61-73
Author(s):  
Jacek Bernard Marciniak ◽  
Hubert Janicki

AbstractThe aim of the study presented in this article is to identify and analyse the problems which arise when creating a 3D model based on two-dimensional data and its import into a game engine and then developing algorithms to automate this process. The authors decided that they would use the Unity game engine to create an application presenting the results of modelling the interior of the Main Building of the Warsaw University of Technology. The work was divided into stages in which problems related to the adopted method were identified and the automation of selected activities was suggested. The main tasks performed during the study included processing the source data into a 3D model along with the correction of errors made during this process, detailing the model by adding characteristic elements of the building’s interior, and creating the so-called game scene in the Unity game engine along with the implementation of the application’s behaviour. The developed software can be integrated with indoor navigation systems, and the implemented scripts can be used during the preparation of other models.


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