PROFESSIONAL EDITION | November 2011 | Issue 11

Game-Changing Hockey Sticks with Help from MapleSim

"This technology will improve the future of the game."
- Guy Lafleur, NHL Legend

With the widespread adoption of composite ice hockey sticks over the past decade, the frequent breakage of these sticks is all too common. Not only do these breaks drastically change the game at the professional level, they also lead to exorbitant costs for players. Reliable and durable hockey sticks can have a large impact on the game itself, on professional and recreational players, and of course on the wallets of parents whose children aim to be hockey stars one day!

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. MapleSim allowed Hockey Robotics to efficiently and accurately simulate the coupled dynamic electrical and mechanical behavior of the equipment. MapleSim enabled the concurrent study of the flexible body deformation and rigid body motion of the machines, which is a very difficult, time-consuming, and error-prone task when done by hand. It also allowed them to quickly prototype the designs and investigate the coupled motion of the mechanisms very easily.

To read the full user case study, please click here.

Maplesoft Events
37th AMATYC Annual Conference
November 10th - 13th
Austin, Texas
SPS/IPC/Drives 2011
November 22nd - 24th
Nuremburg, Germany
Mechatronic Connection 2011
November 29th - 30th
La Marive, Switzerland
For further details about these events, click here.

Information Sheets
MapleSim Driveline Component Library Datasheet
Key Features of the MapleSim Driveline Component Library

Maple Training Materials Datasheet
Maple training materials that accommodate different needs and learning styles

To access all Maplesoft Information sheets, click here.

Social Networks

Multi-Domain Modeling Critical to Unmanned Vehicle Designs

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 were key partner in helping overcome these challenges because of its exceptional 3-D multibody dynamics and multi-domain modeling capabilities.

“Although we work with other tools like MATLAB® and Simulink®, they still need to be manually coupled into our models and design process. Using those tools also means that we have to have experts in each domain who will take care of that particular component. With MapleSim, we can eliminate these hurdles; everybody is able to work on a single model. This is why we're very excited about MapleSim,” said Gariepy .

To read the full user case study, please click here.


SAE Webinar: Physical Models of Automotive Batteries for EV and HEV Applications

Tuesday, November 29th at 10:00 am ET

This webinar covers new approaches to modeling and simulation for hybrid electric vehicle (HEV) and fully electric vehicle (EV) applications with particular emphasis on the development of high fidelity physical models of automotive batteries. Developed as part of the research program for the NSERC/Toyota/Maplesoft Industrial Research Chair for Mathematics-based Modeling and Design, these models will plug into comprehensive system models for HEV and EV applications. Conventional lead-acid, but also NiMH and Lithium battery models will be presented.

Video: The Top 7 Unique Features of MapleSim
  MapleSim has come a long way over the last few years. Whether you're new to MapleSim, or you've reviewed it in the past, now is definitely the time to take a closer look.
Maple and the iPad
  The Maple Player for iPad is now available in the Apple App Store. It comes bundled with ready-made interactive Maple documents, covering topics like integration, differentiation, computing limits, and performing Laplace transforms.
Live Webinars
Featured webinar: Physical Models of Automotive Batteries for EV and HEV Applications
Tuesday, November 29 at 10:00 am ET
Basics of Maple 15 for Professional Applications
Wednesday, November 23 at 10:00 am ET
A Guide to Evaluating Maple 15
Wednesday, November 30 at 10:00 am ET
ASEE Webinar: Advanced Physical Modeling Tackles the Complexity of Modern Engineering
Wednesday, December 7th at 10:00 am ET
Recorded Webinars

Rapid Development of High Fidelity, High Efficiency Models of Electrical and Electronic Systems

Maplesoft Solutions for Advanced Financial Modeling
Maplesoft launches Maple Player for iPad
Design Product News, November 4, 2011

The Maple Player for iPad takes advantage of the powerful Maple computation engine, so users can enter values, move sliders, and click buttons to perform calculations and visualize the results. It comes with a collection of interactive calculators and conceptual explorations.
Maplesoft and VI-grade partnership makes real-time modeling applications more cost and time-effective
CAD CAM News, October 28, 2011

The VI-CarRealTime environment provides a readily available full-vehicle model that allows MapleSim users to easily implement their subsystem models without having to build the vehicle model themselves. Also, vehicle chassis parameters are transferred directly from ADAMS/Car™ into VI-CarRealTime, thus providing a way of rapidly integrating ADAMS/Car models with multi-domain system models from MapleSim.
Digital Aerospace Gets Dynamic
Aerospace Engineering International, October 27, 2011

To improve fidelity and reduce compute time, MapleSim uses symbolic computation through a symbolic modeling engine…using a symbolic modeling engine enables cross-disciplinary engineering models, making it ideal for systems engineering.

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