Purdue University engineers have developed a system that will enable employees to search huge industry databases of parts created with computer-aided design, or CAD, software, such as this image. Before a CAD part can be searched, its three-dimensional shape must be converted into "voxels," or volume elements, and then the system uses complex software algorithms to convert the voxels into a simplified "skeletal graph" based on "feature vectors," or numbers that represent a parts shape. The system then searches for these simplified skeletal graphs. (Purdue Research and Education Center for Information Systems in Engineering, School of Mechanical Engineering)
Here is another example of CAD parts contained in company databases. Purdue University engineers have developed a system that will enable employees to search huge industry databases for such parts. Before a CAD part can be searched, its three-dimensional shape must be converted into "voxels," or volume elements, and then the system uses complex software algorithms to convert the voxels into a simplified "skeletal graph" based on "feature vectors," or numbers that represent a parts shape. (Purdue Research and Education Center for Information Systems in Engineering, School of Mechanical Engineering)
Researchers at Purdue University have developed the first system capable of searching a company’s huge database of three-dimensional parts created with computer-aided design software.
Such "parts search engines" could save time and millions of dollars annually by making it easier for companies to "reuse" previous designs, benefiting from the lessons learned in creating past parts.
"Designers spend about 60 percent of their time searching for the right information, which is rated as the most frustrating of engineers’ activities," said Karthik Ramani, a professor of mechanical engineering and director of the Purdue Research and Education Center for Information Systems in Engineering. "The whole power of computers is lost if you are not able to retrieve and ’reuse’ what you have created in the past."
Emil Venere | Purdue News
Intelligent wheelchairs, predictive prostheses
20.12.2017 | Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA
Jelly with memory – predicting the leveling of com-mercial paints
15.12.2017 | Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA
Quantum computers may one day solve algorithmic problems which even the biggest supercomputers today can’t manage. But how do you test a quantum computer to...
For the first time, a team of researchers at the Max-Planck Institute (MPI) for Polymer Research in Mainz, Germany, has succeeded in making an integrated circuit (IC) from just a monolayer of a semiconducting polymer via a bottom-up, self-assembly approach.
In the self-assembly process, the semiconducting polymer arranges itself into an ordered monolayer in a transistor. The transistors are binary switches used...
Breakthrough provides a new concept of the design of molecular motors, sensors and electricity generators at nanoscale
Researchers from the Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague), Institute of Physics of the CAS (IP CAS) and Palacký University...
For photographers and scientists, lenses are lifesavers. They reflect and refract light, making possible the imaging systems that drive discovery through the microscope and preserve history through cameras.
But today's glass-based lenses are bulky and resist miniaturization. Next-generation technologies, such as ultrathin cameras or tiny microscopes, require...
Scientists from the University of Zurich have succeeded for the first time in tracking individual stem cells and their neuronal progeny over months within the intact adult brain. This study sheds light on how new neurons are produced throughout life.
The generation of new nerve cells was once thought to taper off at the end of embryonic development. However, recent research has shown that the adult brain...
15.02.2018 | Event News
13.02.2018 | Event News
12.02.2018 | Event News
22.02.2018 | Life Sciences
22.02.2018 | Physics and Astronomy
22.02.2018 | Earth Sciences