scholarly journals Robotic wheel structures and their industrial applications based on motion simulations

2021 ◽  
Vol 2094 (4) ◽  
pp. 042093
Author(s):  
José Luis Ordoñez-Avila ◽  
I A Magomedov ◽  
A M Bagov

Abstract The following work was done to analyze mobile structures with different arrangements of wheels. Software package Solidworks was utilized in modeling and analysis of the structures. Eight mobile structures were built by rearranging the placement of both driven and free wheels. Each structure has its own unique placement of wheels, hence giving the opportunity to understand the influence of the wheels’ placement on the functionality of the whole structure in terms of speed, stability, and other parameters. Therefore, eight mobile structures were analyzed, and the results were gathered. Adding more driven wheels or free wheels does not improve the performance of the mobile structures. The outcomes of the results illustrated that structure 6 tends to be more positive in terms of energy consumption, torque, and stability. Hence, adding more driven wheels does not improve the performance of the mobile structures.

Author(s):  
Mazmul Hussain ◽  
Nargis Khan

The variable nature of the thermal conductivity of nanofluid with respect to temperature plays an important role in many engineering and industrial applications including solar collectors and thermoelectricity. Thus, the foremost motivation of this article is to investigate the effects of thermal conductivity and electric conductivity due to variable temperature on the flow of Williamson nanofluid. The flow is considered between two stretchable rotating disks. The mathematical modeling and analysis have been made in the presence of magnetohydrodynamic and thermal radiation. The governing differential equations of the problem are transformed into non-dimensional differential equations by using similarity transformations. The transformed differential equations are thus solved by a finite difference method. The behaviors of velocity, temperature and concentration profiles due to various parameters are discussed. For magnetic parameter, the radial and tangential velocities have showed decreasing behavior, while converse behavior is observed for axial velocity. The temperature profile shows increasing behavior due to an increase in the Weissenberg number, heat generation parameter and Eckert number, while it declines by increasing electric conductivity parameter. The nanoparticle concentration profile declines due to an increase in the Lewis number and Reynolds number.


2013 ◽  
Vol 58 (1) ◽  
pp. 231-239 ◽  
Author(s):  
K. Hashimoto ◽  
N. Kumagai ◽  
K. Izumiya ◽  
H. Takano ◽  
P.R. Zabinski ◽  
...  

Extrapolation of world energy consumption from 1990 to 2010 indicates the complete exhaustion of world reserves of oil, natural gas, uranium and coal by 2040, 2043, 2046 and 2053, respectively. For the survival of all people in the whole world, intermittent and fluctuating electricity generated from renewable energy should be supplied in the form of usable fuel to all people in the whole world. We have been working on research and development of global carbon dioxide recycling for the use of renewable energy in the form of methane via electrolytic hydrogen generation using carbon dioxide as the feedstock. We created energy-saving cathodes for hydrogen production, anodes for oxygen evolution without chlorine formation in seawater electrolysis, and catalysts for methanation of carbon dioxide and built pilot plants of industrial scale. Recent advances in materials are described. Industrial applications are in progress.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Rui Wang ◽  
Ming Wang ◽  
Yong Guan ◽  
Xiaojuan Li

Obstacle avoidance is a key performance of mobile robots. However, its experimental verification is rather difficult, due to the probabilistic behaviors of both the robots and the obstacles. This paper presents the Markov Decision Process based probabilistic formal models for three obstacle-avoidance strategies of a mobile robot in an uncertain dynamic environment. The models are employed to make analyses in PRISM, and the correctness of the analysis results is verified by MATLAB simulations. Finally, the minimum time and the energy consumption are determined by further analyses in PRISM, which prove to be useful in finding the optimal strategy. The present work provides a foundation for the probabilistic formal verification of more complicated obstacle-avoidance strategies.


Integration ◽  
2016 ◽  
Vol 55 ◽  
pp. 455-464 ◽  
Author(s):  
Lidong Xing ◽  
Tao Li ◽  
Hucai Huang ◽  
Qingsheng Zhang ◽  
Jungang Han

Author(s):  
Meliha Honic ◽  
Iva Kovacic

AbstractThe increasing population growth and urbanization rises the worldwide consumption of material resources and energy demand. The challenges of the future will be to provide sufficient resources and to minimize the continual amount of waste and energy demand. For the achievement of sustainability, increasing recycling rates and reuse of materials, next to the reduction of energy consumption has the highest priority.This article presents the results of the multidisciplinary research project SCI_BIM, which is conducted on an occupied existing building. Within SCI_BIM, a workflow for coupling digital technologies for scanning and modeling of buildings is developed. Laser scanning is used for capturing the geometry, and ground-penetrating radar is used for assessing material composition. For the semi-automated generation of an as-built BIM, algorithms are developed, wherefore the Point-Cloud serves as a basis. The BIM-model is used for energy modeling and analysis as well as for the automated compilation of Material Passports. Further, a gamification concept will be developed to motivate the buildings’ users to collect data. By applying the gamification concept, the reduction of energy consumption together with an automated update of the as-built BIM will be tested. This article aims to analyze the complex interdisciplinary interactions, data, and model exchange processes of various disciplines collaborating within SCI_BIM.Results show that the developed methodology is confronted with many challenges. Nevertheless, it has the potential to serve as a basis for the creation of secondary raw materials cadaster and for the optimization of energy consumption in existing buildings.


Author(s):  
Lei Li ◽  
Haihong Huang ◽  
Fu Zhao ◽  
Xiang Zou ◽  
Gamini P. Mendis ◽  
...  

As energy efficiency increases in importance, researchers have identified manufacturing processes as opportunities where energy consumption can be reduced. Drawing is one widely employed, energy intensive manufacturing process, which could benefit by analysis of energy consumption during operation. To optimize the energy consumption of the drawing process, this paper developed an explicit model to quantify the process energy for the cylindrical drawing process by analyzing the dynamic punch force during the process. In this analysis, the evolution of the stress and strain was analyzed in the drawn part by considering all the structure parameters of the drawn part. The stress and strain analyses were integrated into an overall process energy model, and the behavior of the model was classified into three categories, based on their physical mechanisms, i.e., deformation energy, bending energy, and friction energy. The model was validated using numerical experiments designed by the Taguchi method where two different kinds of materials were tested over 18 runs. The results from the numerical experiments were compared with those from the model, and show that the maximum variation of the process energy predicted by this model is less than 10% for a given part. Sensitivity analysis was performed on the model to understand the contributions of the process parameters on the process energy to guide process optimization for lower energy consumption. The established model can assist in the rapid design of drawn parts with lower embodied energy.


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