Siemens wants to further reduce the power consumption of manufacturing robots in the automotive industry.
One approach to this problems deals with movement patterns that require less acceleration energy, as was reported in the latest issue of the magazine "Pictures of the Future".
Working with Volkswagen and Fraunhofer Gesellschaft as part of the Green Carbody Technologies (InnoCaT) innovation alliance, Siemens studied the motion sequences of manufacturing robots. The partners developed a simulation model that calculates the best trajectories for robots from the standpoint of energy efficiency.
Tests have shown that this approach can reduce energy consumption by up to half. Goal is to develop a software program that can be used to reprogram existing manufacturing robots to operate in a more energy-efficient manner, without making changes to the production process.
Manufacturing robots make an automotive factory fast and efficient, but they also consume large quantities of electricity. Particularly in body shell production, where numerous robots are deployed, they account for more than half of the total energy consumed. One approach to saving energy involves the control system.
Today's robots are extremely jerky in their movements. They move their arms along straight lines and brake abruptly at every change of direction before turning and accelerating again. This costs a great deal of drive energy and stresses the mechanics.
In the laboratory, the engineers analyzed a robot's energy consumption in different work steps. They wanted to know the extent to which changes of direction influence power consumption, and determine the parameters that result in the best movement patterns in terms of energy consumption.
This analysis yielded new algorithms for a simulation model that calculates optimal motion trajectories. Based on the lab tests, they found a savings potential of between 10 and 50 percent when the robot's arms move evenly along curved paths. Furthermore, the mechanical parts are placed under less stress, resulting in lower maintenance costs and fewer downtimes.
In the automotive industry it is extremely important that numerous manufacturing robots, which often hand over work to one another in a matter of seconds, operate together smoothly. Long tests under realistic conditions showed that optimized movement patterns can lower energy consumption by up to 50 percent, even with the same cycle times.
A software module that automatically programs a robot's power consumption for a given work process, while also accommodating the interplay with adjacent machines, is under test. Automation is important: It is the only economically feasible way to reprogram thousands of manufacturing robots in a single factory.
Siemens plans to integrate such a module into its Tecnomatix manufacturing software. This will allow existing robots to be easily and safely reprogrammed to consume less energy without requiring new investments in hardware.
Dr. Norbert Aschenbrenner | Siemens InnovationNews
Engineer Improves Rechargeable Batteries with MoS2 Nano 'Sandwich'
17.04.2015 | Kansas State University
Packing Heat: New Fluid Makes Untapped Geothermal Energy Cleaner
17.04.2015 | Pacific Northwest National Laboratory
Astronomers from Chalmers University of Technology have used the giant telescope Alma to reveal an extremely powerful magnetic field very close to a supermassive black hole in a distant galaxy
Astronomers from Chalmers University of Technology have used the giant telescope Alma to reveal an extremely powerful magnetic field very close to a...
A team of physicists from MPQ, Caltech, and ICFO proposes the combination of nano-photonics with ultracold atoms for simulating quantum many-body systems and creating new states of matter.
Ultracold atoms in the so-called optical lattices, that are generated by crosswise superposition of laser beams, have been proven to be one of the most...
According to new research out of the Texas A&M Health Science Center College of Medicine, that is indeed the case. Chetan Jinadatha, M.D., M.P.H., assistant...
Researchers from ICFO, MIT and UC Riverside have been able to develop a graphene-based photodetector capable of converting absorbed light into an electrical voltage at ultrafast timescales
The efficient conversion of light into electricity plays a crucial role in many technologies, ranging from cameras to solar cells.
Electrical charges not only move through wires, they also travel along lengths of DNA, the molecule of life. The property is known as charge transport.
In a new study appearing in the journal Nature Chemistry, authors, Limin Xiang, Julio Palma, Christopher Bruot and others at Arizona State University's...
13.04.2015 | Event News
25.03.2015 | Event News
19.03.2015 | Event News
17.04.2015 | Power and Electrical Engineering
17.04.2015 | Earth Sciences
17.04.2015 | Physics and Astronomy