Simulation tools have evolved from complicated, pricey programs to intelligent tools for use throughout the R&D process.
In the past, designers relied on numerous prototype rounds and tests to determine a design's feasibility. Despite technological advancements, many organizations continue to rely on spreadsheets or hand calculations during the design process. This approach may have worked in the past, but modern business speeds require a more efficient approach to product design.
Current engineering practices create computer models that are numerical in nature to explore different design concepts and evaluate their performance. However, a more natural way to model a system is to use mathematics.
FEA predicts the initiation and evolution of damage in metals, providing an alternative to laboratory structural testing.
An imaging systems developer accelerated the implementation of advanced thermal imaging filters and algorithms on FPGA hardware.
An unmanned aerial vehicle (UAV) that will fly at speeds approaching Mach 1.4—faster than anything in the sub-50-kg vehicle category today—using an engine two to four times more efficient than any other in its class is under development by researchers at the University of Colorado, Boulder, through a university startup Starcor. The prototype is expected to be ready within a year.
The aerospace and defense community is considered a pioneer in physics-based simulation development and one of its earliest adopters. Design engineers use simulation software to create virtual representations of practically anything and everything, including complete unmanned aerial systems (UAS).
The natural decay of organic carbon contributes more than 90% of the yearly carbon dioxide released into Earth's atmosphere and oceans. Understanding the rate at which leaves decay can help scientists predict this global flux of carbon dioxide. But a single leaf may undergo different rates of decay depending on a number of variables. Researchers have just built a mathematical model that incorporates these variables, and have discovered a commonality within the diversity of leaf decay.
What does a yogurt look like over time? The food industry will soon be able to answer this question using a new fluid simulation tool developed by scientists at the University of Copenhagen, Denmark, as part of a broad partnership with other research institutions. The method distinguishes itself significantly from known simulation methods which use mesh structures where the vertices are locked in a fixed position. In the new method, the mesh structure is replaced by a dynamic structure where the vertices move one at a time.
University of Oregon scientists have found a way to correctly reproduce not only the structure but also important thermodynamic quantities, such as pressure and compressibility, of a large, multiscale system at variable levels of molecular coarse-graining.
Over the past few decades, the hunt for extrasolar planets has yielded incredible discoveries. Now, planetary researchers have a new tool—simulated models of how planets are born. A team of researchers at The University of Texas at Austin are using supercomputers to model and simulate the protostellar disks that precede the formation of planet.
It is common knowledge that the warmer the air, the more water can evaporate. Researchers in Europe have now established that this is not always the case: Although an increase in the greenhouse gas carbon dioxide makes the climate warmer, it also allows less water to evaporate. This finding has informed a set of new calculations for climate modeling.
Cancer metastasis, the escape and spread of primary tumor cells, is a common cause of cancer-related deaths. But metastasis remains poorly understood, and only recently have studies indicate that blood’s “stickiness” actually tears off tumor cells. Using a statistical technique employed by animators, scientists created a new computer simulation that reveals how cancer cells enter the bloodstream and the physical forces involved.
Much like a sentry at a border crossing, the network of tiny blood vessels surrounding the brain only allows a few important molecules in or out. This is the blood-brain barrier, which shields the brain from potentially harmful substances. Researchers are hoping to better understand this little understood roadblock by creating an artificially engineered, or simulated, barrier.
Living with a star can be a challenge, especially as Earthlings extend their reach into space. A Rice University scientist is contributing to an effort to make life more comfortable for both the people and satellites sent out there, and provide valuable research for those who remain planet-bound.
Scientists at the Harvard-Smithsonian Center for Astrophysics and their colleagues at the Heidelberg Institute for Theoretical Studies have invented a new computational approach that can accurately follow the birth and evolution of thousands of galaxies over billions of years.
Lawrence Livermore National Laboratory researchers have discovered a new method to independently control ionic and electronic conductivities in certain solids. The method, which uses tailored acceptor-donor co-doping to bind charged native vacancies and selectively modulate ionic but not electronic conductivity, was developed by using first-principles materials simulations.
Conventional face capturing is well established and widely utilized in the entertainment industry to capture a 3D model of an actor's face. However, up to now, no method was capable of reconstructing facial hair or even handling it appropriately. A new method developed at Disney Research in Switzerland captures individual strands of facial hair and stores them separately from the actual human face until added. Or “shaved” away.
Scientists have yet to fully unravel the mysteries of rainbows, but an international team of scientists have used simulations of these natural wonders to unlock the secret to a rare optical phenomenon known as the twinned rainbow. Unlike the more common double-rainbow, which consists of two separate and concentric rainbow arcs, the elusive twinned rainbow appears as two rainbows arcs that split from a single base rainbow.
Using just an upgraded desktop computer equipped with a relatively inexpensive graphics processing card, a team of computer scientists and biochemists at the University of California, San Diego has developed advanced GPU accelerated software and demonstrated, for the first time, that this approach can sample biological events that occur on the millisecond timescale.
While bipeds and quadrupeds have reigned supreme in CG animation, attempts to create and control their skeleton-free cousins using similar techniques has proved time-consuming and laborious. Georgia Institute of Technology researchers have found a possible solution to this challenge by developing a way to simulate and control movement of computer-generated characters without a skeletal structure, anything from starfish and earthworms to an elephant’s trunk or the human tongue.
For decades it has been thought that a shock wave from a supernova explosion triggered the formation of our Solar System. Material from the exploding star generated cloud of dust and gas, which collapsed to form the Sun and its surrounding planets. New work from the Carnegie Institution provides the first fully 3D models for how this process could have happened.
Scientists in Europe have recently completed a study of global pollution levels by simulating the atmosphere using the chemical atmospheric model EMAC. The research is the first include all five major air pollutants known to negatively impact human health: nitrogen dioxide, sulphur dioxide, ozone, carbon monoxide, and particulate matter smaller than 2.5-?m. China, India, and the Middle East are shown to be especially at risk.
Researchers trying to herd tiny particles into useful ordered formations have found an unlikely ally: entropy, a tendency generally described as "disorder." Computer simulations by University of Michigan scientists and engineers show that the property can nudge particles to form organized structures. By analyzing the shapes of the particles beforehand, they can even predict what kinds of structures will form.
A research team at the Georgia Tech Research Institute has developed a software tool that enables users to perform in-depth analysis of modeling and simulation data, then visualize the results on screen. The new data analysis and visualization tool offers improved ease of use compared to similar tools, the researchers say, and could be readily adapted for use with existing data sets in a variety of disciplines.