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Saturday, November 24, 2007

Dynaflow's DF-Contour

DF_CONTOUR®© representation of pressure contours and volocity vectors for a bubble collapsing below a plate [Image Courtesy: Dynaflow, Inc.]

Jessup, Maryland based Dynaflow, Inc.® was founded in 1988 by Dr. Georges L. Chahine and has established a reputation for quality R&D and testing work. The company pursues an inter-disciplinary approach to problems using a combination of scientific tools to achieve results covering diverse areas of research: Hydrodynamics, Cavitation, Bubble Dynamics, Underwater Explosion, Liquid Remediation, Material Testing, etc.

DF_Contour is a useful tool introduced by Dynaflow that generates publication-ready graphs and contours from numerical and experimental data. It produces color graphic representations of various data types, including vector and scalar fields, shapes, curves, and markers. It can also generate animations of a succession of color maps.

Users can view 16 different data sets simultaneously. It contains a comprehensive color palette, which can be defined by the user, and it can create vector and scalar color contour plots.

The software is easy to use. It reads data from simple user-generated ASCII file format. To identify the type of data and how to represent it, DF-Contour requires a simple one-word descriptor (i.e. #vector or #scalar) at the beginning of each data set. The software is intuitive and follows the familiar Windows interface and commands.

Engineers and Researchers at Dynaflow use this tool to represent results from laboratory experiments and to analyze the results of fluid dynamic programs such as 2DYNAFS and 3DYNAFS developed by the company.

Links to: Dynaflow, DF_CONTOUR®©.

Wednesday, November 07, 2007

Toyota Turns to Maplesoft™

Maplesoft LogoMaplesoft™, the leading provider of high-performance software tools for engineering, science, and mathematics today announced a multi-year contract with Toyota Motor Corporation, the world’s largest automobile company.

Physical modeling requires a symbolic approach to computations in order to accurately and efficiently represent real-world physical systems. Toyota approached Maplesoft a year ago in an effort to improve its engineering and design operations. The software will allow the automaker's designers to produce a mathematical model for each component of a new vehicle model. Since each part of the vehicle is brought down to a mathematical formula, the software allows designers to get a clear idea of how the parts work together. More importantly, the software allows Toyota's design team to produce a digital simulation of how a new vehicle's components work together before a new model is even built.

“Model-Based Development will set new industry standards for the use of software tools and models in automotive systems development,” said Dr. Akira Ohata, Project General Manager of Toyota Motor Corporation. “Symbolic computation, pioneered by companies like Maplesoft, makes new design methods a reality today. Automotive companies like us will realize further improvements in cycle times, cost optimization, and smoother implementation of extremely complex systems.”

Toyota has been one of the earliest among industrial companies to embrace Model-Based Design (MBD), the concept of creating a computer-based model of a system to analyze, test, improve, and optimize the design before actually building the physical system. In the initial stages, this was used in the design, simulation, and implementation of control systems using tools from companies such as The MathWorks®. Toyota is now expanding its scope with the development of the new Model-Based Development process. The goal of MBD would be to improve time-to-market, quality, and reliability, while reducing cost.

As part of the partnership, Maplesoft and Toyota are doing pioneering work in other yet-to-be-announced projects as well. The two companies are also leading a Physical Modeling Consortium, which brings together leaders in the automotive industry to share ideas and advance the development of Rapid Plant Modeling Methodology based on symbolic computation.