Robust sensing and control of direct metal deposition

Author(s):  
Lijun Song ◽  
Jyoti Mazumder
2022 ◽  
Author(s):  
M.A. Oleynik

Abstract. The paper considers the issue of optimizing the movement of an industrial robot used in additive manufacturing in the technology of direct metal deposition of parts. The developed mathematical model that takes into account the joint work of a six-axis robot manipulator and a two-axis positioner is described. The algorithm for calculating the motion based on the relative position of two adjacent points of the working tool trajectory relative to the rotary axis of the positioner with a given accuracy is described. The simulation of processing is carried out both when working only with the manipulator, and when working together with a two-axis positioner, and control programs with recalculated coordinates and rotation angles of the positioner are obtained.


Author(s):  
S. Pratheesh Kumar ◽  
S. Elangovan ◽  
R. Mohanraj ◽  
V. Sathya Narayanan

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 228
Author(s):  
Idan Fishel ◽  
Yoni Amit ◽  
Neta Shvil ◽  
Anton Sheinin ◽  
Amir Ayali ◽  
...  

During hundreds of millions of years of evolution, insects have evolved some of the most efficient and robust sensing organs, often far more sensitive than their man-made equivalents. In this study, we demonstrate a hybrid bio-technological approach, integrating a locust tympanic ear with a robotic platform. Using an Ear-on-a-Chip method, we manage to create a long-lasting miniature sensory device that operates as part of a bio-hybrid robot. The neural signals recorded from the ear in response to sound pulses, are processed and used to control the robot’s motion. This work is a proof of concept, demonstrating the use of biological ears for robotic sensing and control.


Procedia CIRP ◽  
2020 ◽  
Vol 95 ◽  
pp. 23-28
Author(s):  
Mohammad Rabiey ◽  
Pascal Schiesser ◽  
Pascal Maerchy

2018 ◽  
Vol 24 (S1) ◽  
pp. 2062-2063
Author(s):  
C. Labre ◽  
A.L. Pinto ◽  
I.G. Solorzano

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