scholarly journals GangES: Gang error simulation for hardware resiliency evaluation

Author(s):  
Siva Kumar Sastry Hari ◽  
Radha Venkatagiri ◽  
Sarita V. Adve ◽  
Helia Naeimi
Keyword(s):  

Author(s):  
Loïk Berre ◽  
Simona Ecaterina Åžtefănescu ◽  
Margarida Belo Pereira


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuezong Wang ◽  
Jinghui Liu ◽  
Mengfei Guo ◽  
LiuQIan Wang

Purpose A three-dimensional (3D) printing error simulation approach is proposed to analyze the influence of tilted vertical beams on the 3D printing accuracy. The purpose of this study is to analyze the influence of such errors on printing accuracy and printing quality for delta-robot 3D printer. Design/methodology/approach First, the kinematic model of a delta-robot 3D printer with an ideal geometric structure is proposed by using vector analysis. Then, the normal kinematic model of a nonideal delta-robot 3D robot with tilted vertical beams is derived based on the above ideal kinematic model. Finally, a 3D printing error simulation approach is proposed to analyze the influence of tilted vertical beams on the 3D printing accuracy. Findings The results show that tilted vertical beams can indeed cause 3D printing errors and further influence the 3D printing quality of the final products and that the 3D printing errors of tilted vertical beams are related to the rotation angles of the tilted vertical beams. The larger the rotation angles of the tilted vertical beams are, the greater the geometric deformations of the printed structures. Originality/value Three vertical beams and six horizontal beams constitute the supporting parts of the frame of a delta-robot 3D printer. In this paper, the orientations of tilted vertical beams are shown to have a significant influence on 3D printing accuracy. However, the effect of tilted vertical beams on 3D printing accuracy is difficult to capture by instruments. To reveal the 3D printing error mechanisms under the condition of tilted vertical beams, the error generation mechanism and the quantitative influence of tilted vertical beams on 3D printing accuracy are studied by simulating the parallel motion mechanism of a delta-robot 3D printer with tilted vertical beams.



2009 ◽  
Vol 26 (2) ◽  
pp. 211-220
Author(s):  
Hye-In Kim ◽  
Ji-Hyun Ha ◽  
Kwan-Dong Park ◽  
Sang-Uk Lee ◽  
Jae-Hoon Kim


Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 170 ◽  
Author(s):  
Seunghwan Hong ◽  
Yoonjo Choi ◽  
Ilsuk Park ◽  
Hong-Gyoo Sohn






Author(s):  
Xiang He ◽  
Jake A. Steiner ◽  
Joseph R. Bourne ◽  
Kam K. Leang

Abstract This paper presents a multi-vehicle chemical-plume mapping process that incorporates onboard wind speed and direction estimation. A Gaussian plume model is exploited to develop the kernel for extrapolating the measured data. Compared to the uni- or bi-variate kernels, the proposed kernel uses the estimated wind information to refine the chemical concentration prediction downwind of the source. This new approach, compared to previous mapping methods, relies on fewer parameters and provides 30% reduction in the mapping mean-squared error. Simulation and experimental results are presented to validate the approach. Specifically, outdoor flight tests show three aerial robots with chemical sensing capabilities mapping a real propane gas leak to demonstrate feasibility of the approach.



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