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    Home : Media : User Case Studies : Commercial List
User Case Studies - Professional
Maple helps discover the mathematics-based Gömböc shape
April 18, 2013
The invention of Gömböc is the culmination of a long process of mathematical research and Maple, the mathematical computation engine from Maplesoft, played an important role in its discovery.
Rules of Attraction: Improving the Design of Magnetic Field Control Systems
February 22, 2013
Maple’s multiprocessor support is helping to speed up and simplify the design of complex magnetic field control systems.
MapleSim used to model motion of complex optical system
February 6, 2013
In this application, MapleSim was used to investigate and understand precisely how a mirror moves with its mount, and quantify any cross-coupled motion that may occur during actuator adjustments. This positional information can be used to mitigate errors, improve ray tracing results, and assist in alignment.
Maple helps engineers design propulsion systems for some of the world's biggest ships
November 9, 2012
Ships keep the global economy moving. Whether they are ultra large crude carriers transporting oil from the Middle East, container vessels transferring manufactured goods from Asia or car carriers shifting vehicles from factories in Europe, the global maritime industry moves around 32 trillion tonne-miles of cargo every year, four times more than it did at the end of the 1960s.
MapleSim used in the creation of breakthrough vehicle driving simulator technology
September 26, 2012
As automotive manufacturers compete on features of efficiency and safety, they are also battling to provide the best driving experience for their customers. As a result, vehicle engineering is becoming more complex, involving multiple disciplines. There is a growing desire to provide test drivers and evaluators with simulated driving experiences, so that their feedback can be incorporated early in the design process.
Maple and MapleNet Streamline the Development of Solar Panel Foil Systems
June 20, 2012
As a technology consultant, Dr. Peter Waegli works with a wide range of companies to bring the latest and most efficient technology to his clients. His firm, Dr. P. Waegli-Research, provides technology-based strategies and solutions to clients. Maple is a trusted tool for Dr. Waegli in his technology development solutions. Dr. Waegli recently advocated the use of Maple in a project related to solar panels. Read on for details
MapleSim Breaks New Ground in Hardware-in-the-Loop Real-Time Simulation for Planetary Rovers
April 18, 2012
The design, building and testing of rover prototypes is extremely expensive and system testing typically does not occur until late in the design/testing process, leading to a long development time. Dr. Amir Khajepour, Canada Research Chair in Mechatronic Vehicle Systems and Professor of Engineering in the Mechanical and Mechatronics Engineering department at the University of Waterloo (UW), and his team worked with the Canadian Space Agency (CSA) and Maplesoft, to develop a Hardware-in-the-Loop (HIL) test platform for solar powered planetary rovers.Using MapleSim, high fidelity and computationally efficient models were created for this real-time application.
L’utilisation de MapleSim pour la modélisation des drones fournit des perspectives et des options inaccessibles aux outils traditionnels
March 6, 2012
Les engins aériens sans pilote, ou drones, sont des outils d’une importance croissante pour faire face aux situations où une intervention humaine présenterait des dangers ou des difficultés. Outre les applications militaires, les drones sont utilisés pour des missions environnementales, dans l’agriculture et pour les secours aux sinistrés, et constituent l’un des domaines les plus actifs des études d’ingénierie. Afin d’aider les chercheurs à concevoir de nouveaux algorithmes pour la commande de drones dans les conditions les plus diverses, Quanser Inc. a développé QBall-X4, une plate-forme de recherche et d’expérimentation sur le contrôle et la conception des drones.
Einsatz von MapleSim bei der Simulation unbemannter Luftfahrzeuge erlaubt Einblicke und Optionen, die mit herkömmlichen Werkzeugen nicht möglich wären
March 6, 2012
Unbemannte Luftfahrzeuge (engl. Unmanned Aerial Vehicles, UAV) werden in Situationen, in denen ein Zugang für den Menschen sehr gefährlich oder schwierig wäre, zu einem immer wichtigeren Werkzeug. Neben militärischen Anwendungen werden UAV im Umweltschutz, in der Landwirtschaft und im Katastrophenschutz eingesetzt. Sie gehören zu den Objekten, an denen zurzeit besonders aktiv geforscht und entwickelt wird. Die Quanser Inc. hat QBall-X4, eine UAV-Experimentierplattform für Untersuchungen im Bereich der Steuerung und Konstruktion, entwickelt, um den Wissenschaftlern bei der Arbeit an neuen Algorithmen zur Steuerung von UAV unter den verschiedensten Bedingungen zu helfen.
Using MapleSim in Unmanned Aerial Vehicle Models Provides Insights and Options Not Possible with Traditional Tools
February 6, 2012
Unmanned aerial vehicles (UAV) are an increasingly important tool in situations where it is dangerous or extremely difficult for humans to enter. In addition to military applications, UAVs are used in environmental surveys, agriculture, and disaster relief efforts, and are one of the most active areas of contemporary engineering research. In order to help researchers develop new algorithms for controlling UAVs under a variety of different conditions, Quanser Inc. developed the QBall-X4, a UAV experiment platform for research in UAV control and design.MapleSim™, Maplesoft’s modeling and simulation product, is a key tool for Quanser design engineers in developing the QBall.
Game-Changing Hockey Sticks with Help from MapleSim
September 19, 2011
The frequent breakage of composite ice hockey sticks is common. Not only does it drastically change the game at the professional level, but also leads to exorbitant costs. Hockey Robotics is a company that has pioneered the concept of robotic testing for the hockey industry. The team manufactured the SlapShot XT, a dynamic hockey stick robot. It's integrated advanced electronics and software allows the gathering of data never seen before, enabling detailed analysis to support refinements in hockey stick design. MapleSim played a critical role in the design and development of the SlapShot XT.
Multi-Domain Modeling Critical to Unmanned Vehicle Designs
September 14, 2011
With products ranging from a portable and cost effective system for automating the collection of environmental water data (Kingfisher) to a rugged and easy-to-use unmanned ground vehicle for rapid prototyping (Husky), Clearpath Robotics is making a mark in the complex and growing field of robotics. One significant challenge they face, given the multifaceted nature of their products, is in the design and modeling of the systems. MapleSim's exceptional 3-D multibody dynamics and multi-domain modeling capabilities are helping them significantly improve the way the robots are designed.
High-speed robot, DeltaBot™, designed using Maplesoft™ technology
December 14, 2010
AEMK Systems is a company specializing in the design and distribution of high-speed, cable and vision-based robotics systems for use in a variety of industrial applications. They used Maplesoft technology to develop key aspects of the design of the DeltaBot, a robot based on an innovative cable-actuated delta-style design. “By using MapleSim and Maple, we will be able to design and test enhancements to the DeltaBot much more quickly than with other design tools,” says Dr. Khajepour. “These products make it possible for us to be very responsive to the needs of our customers and the changing demands of industry.”
MapleSim Used to Create High Fidelity Physical Models of Hybrid and Electric Vehicle Batteries
November 11, 2010

In recent years, the demand for hybrid-electric and fully electric vehicles has increased enormously.  The development of such vehicles is a significantly more complex task than designing conventional cars because they incorporate many different engineering domains into a single system. At the same time, competitive pressures are forcing auto manufacturers to come up with new designs faster than ever before.  The industry is turning to math-based physical modeling techniques which allow engineers to accurately describe the behavior of the components that comprise the system and the physical constraints on the system. These model equations are then used to develop, test, and refine designs very quickly, and without the expense and time required to build physical prototypes.

Mathematics software, Maple, is used by Renault to estimate the risk of an engine seizing
September 27, 2010

Renault’s Mechanical Engineering Department has developed a Maple model that describes the general behaviour of a lubricated mechanical system, to predict engine seizure. This type of modelling, known as 0D-1D modelling, concentrates on describin

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