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High performance physical modeling and simulation
MapleSim is a physical modeling tool unlike any other. It is built on a foundation of symbolic computation technology, which efficiently manages all of the complex mathematics involved in the development of engineering system models, including multi-domain systems and plant models for control applications. Researchers and engineers working on advanced projects can take advantage of an extensive range of analytical tools that provide greater insight into their systems, while reducing model development time from months to days and producing high-fidelity, high-performance models.
What’s New in MapleSim4.5
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Enhanced Support for Modelica
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Increased Speed and Modeling Capabilities for Continuous Systems with Discrete Events
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Expanded Tool Collection
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For details on what's new in MapleSim4 click here
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Product overview
More Information and Pricing
For further information please give us a call on: 02 9232 3699 or email us.
Concurrent - a concurrent license can float among all supported Unix, Windows or Linux systems as long as they operate under a single license manager on a local area network. The product is not locked to a specific computer; instead, it allows a specified number of concurrent users to run the product on any computer in a local area network.
Demo Gallery Highlights
What's New in MapleSim 4.5
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MapleSim 4, the latest release of the high performance physical modeling and simulation tool, offers a new 3-D construction feature which greatly helps you to develop multibody models. In addition, flexible probe management tools, a new solver, new components, and an enhanced work environment mean that MapleSim users can develop complex models faster.
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Enhanced Support for Modelica
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Modelica is an open standard for describing physical models and components. Many components in MapleSim are from the Modelica Standard Library. By using this open standard, engineers have full visibility into their models and the ability to modify the functionality of existing components to best suit their needs. The latest version of MapleSim increases its support for the Modelica open standard.
- Modelica Import. MapleSim users can now access new collections of components using the Modelica import feature, seamlessly including third-party Modelica libraries and their own custom Modelica components in their MapleSim models. Libraries, components, and models based on the electrical, 1-D mechanical, signals, and thermal heat flow domains from the Modelica 3.1 Standard Library can be easily imported into MapleSim and included with standard MapleSim components and models.
- Modelica 3.1 Support. MapleSim 4.5 is based on Modelica 3.1, the latest version of the Modelica Standard Library. By using the latest version, MapleSim incorporates Modelica’s improvements to many of its components. In addition, initial conditions can now be specified for all Modelica-based components, where appropriate. MapleSim 4.5 automatically converts older existing MapleSim models to use the Modelica 3.1 Standard Library, so that they can also take advantage of the latest improvements.
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Increased Speed and Modeling Capabilities for Continuous Systems with Discrete Events
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- MapleSim 4.5 includes an improved simulation engine that can readily simulate continuous models with discrete events. The enhanced engine handles a much larger class of these systems than earlier versions, and shows significant performance improvements for existing hybrid discrete and continuous models.
- MapleSim 4.5 can efficiently simulate a wide variety of hybrid models, such as automotive clutches, electric amplifiers, active filter models, automotive stability controllers, and contact models. With the improved engine, MapleSim can now handle models that include hundreds of events.
Models with discrete events will often run 10 times faster than in MapleSim 4, with some models running over 100 times faster.
- The improved simulation engine also results in reduced formulation times for large continuous models, shortening the time the engine requires to prepare the model for simulation.
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Expanded Tool Collection
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- The expanded collection of tools available in MapleSim 4.5 simplifies parameter set management and provides a convenient mechanism for modeling linear discrete systems.
- MapleSim 4.5 allows customers to use Microsoft® Excel® to manage their parameter sets, so that they can easily view and access them from outside MapleSim. All parameter sets for a model can be stored in a single file so they are easy to manage, compare, share with colleagues, and access using other software in the toolchain.
- With MapleSim 4.5, engineers can easily create custom components for linear discrete systems, simply by entering the corresponding equations. Both transfer functions and state-space equations are supported. With this ability, engineers working in areas such as control system design, filter design, and system identification can easily create discrete models from their data.
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To see whats new in MapleSim4 click here
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Recorded Webinar: Introduction to MapleSim and Maple for Engineering Professionals
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Whitepaper: MapleSim - Technological Superiority
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Plant Modelling Consortium: An association of leading organisations promoting the development of new design techniques for automotive and related industries
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Ceanet Tech News: Subscribe to the Ceanet Tech News for monthly product news, product tips and techniques, training, upcoming events and more; all via email.
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MaplePrimes: Maplesoft Blogs, forums, help, musings, answers ... and all things Maple and mathematics.
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The Application Center: Featuring over 2000 applications contributed by the Maplesoft user community
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How does MapleSim compare?: Learn more about how MapleSim compares to other technologies.
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MapleSim add-on products: Maplesoft offers a rich and growing selection of add-on products which provide solutions for specialized application areas, extend and enhance connectivity with other software, and more.
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MapleSim Used to Rapidly Develop a High Fidelity Multi-Domain Model of a Robotic Space Rover
Unmanned planetary exploration is a focus for many space research agencies worldwide today. To do this successfully, advanced autonomous robotic rovers are needed. Dr. Amir Khajepour is working with the Canadian Space Agency (CSA), Maplesoft, and the Government of Canada, to develop a full solution for the power management system of autonomous rovers. Dr. Khajepour is a leading figure in mechatronics and robotics and he has chosen MapleSim, an advanced physical modeling tool from Maplesoft, as a key tool in his project.
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Maple is used by Ulysse Nardin to lengthen the running time of new watches Claude Bourgeois, an engineering consultant and former Centre Suisse d'Electronique et de Microtechnique (CSEM) researcher, used Maple to model and optimize barrel springs made of composite materials compatible with deep etching on silicon.
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3-D Hall Sensor Algorithm Developed in Maple Produces a More Efficient Washing Machine Design Dr. Frank Allmendinger leads a research and development project team at Marquardt GmbH, a German company that develops and manufactures switches and switching systems. Over the last three years, his team designed an innovative three-dimensional load and imbalance sensor, which is used in a new washing machine model from a well-known company in the "white goods" sector.
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A Flight into the Future with MapleSim
Dr. Richard Gran is well placed to appreciate the benefits modern technology has brought to modeling and simulation. As a key member of the NASA team that designed the digital flight control system for the Apollo Lunar Module in the 1960s, he spent many months developing a FORTRAN simulation on an IBM 7090 to verify the design. Now the president and CEO of The Mathematical Analysis Company, he uses MapleSim™ to reduce the time it takes to develop physical models and prototype control systems.
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MapleSim used in the field of renewable energy engineering
MapleSim™ is a high-performance multi-domain modeling and simulation tool that is based on an intuitive block-diagram design. It allows engineers to simulate complex systems quickly by dragging, dropping, and connecting a wide range of pre-built physical components from multiple physical domains. It also provides an environment for creating new components.
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Engineering Innovator Creates Unique Applications Using MapleSim
MapleSim™ is a high-performance multi-domain modeling and simulation tool that is based on an intuitive block-diagram design. It allows engineers to simulate complex systems quickly by dragging, dropping, and connecting a wide range of pre-built physical components from multiple physical domains. It also provides an environment for creating new components.
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Finding Faults
Bob Beasant has a firm eye on the future. He is an engineer at Kelvatek, a supplier to the Electricity Supply Industry specializing in the low voltage distribution sector. He recently chose Maple™ and MapleSim™ as his preferred toolset because his projects demand superior modeling and simulation technology. He intends to use both tools to help him create new algorithms and improve existing ones in the field of fault location on underground electricity cables.
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Modeling and simulation of vehicle dynamics for better design process
During the process of designing an automobile, the time required to build a model of a vehicle is critical in determining the time-to-market for the finished product. Before investing huge amounts of money to create a prototype of the vehicle, it is important for the design team to create a model to understand the dynamics of many subsystems and their interactions.
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Predictive Model of Wind Turbine Helps Customer Design Effective Controller - A customer in the energy sector needs to develop predictive models of wind power generation systems.
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Bicycle Model Supports Design Work of a Health Research and Development Center - The researchers required a model that was detailed enough to deal with the fundamental dynamics of bicycle motion and could also be expanded to incorporate elements such as different road conditions.
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Automotive Battery Model Gives Better Results by Incorporating Both Electrical and Thermal Characteristics - The challenge of this project was to create an electrical and thermal model of a lead-acid automotive battery. The behavior of lead-acid batteries is extremely nonlinear and depends on numerous factors, including the temperature, rate of charge or discharge, and the state of charge. Far from being a simple constant voltage source, a battery’s voltage will change under these varying operating conditions.
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Excavator Component Supplier Reduces Effort, Improves Results, and Satisfies Clients by Replacing Aging In-House Software with Modern Modeling Tools - A machine component designer company needs an excavator model to illustrate how well its components would fit within the whole excavator system. As it is a component supplier, the company does not have the resources or sufficient knowledge to create a detailed model of the full system using traditional tools. Yet, it needs to be able to assure prospective customers that its components will perform within the desired specifications.
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Mechanical/Hydraulic Model Used to Increase Loading Capacity of Hydraulic Scissor Lift - Scissor lifts enable access to elevated work areas by raising a gantry with a scissor mechanism. The ascent is controlled with hydraulic cylinders actuated by fluid from a sump, while the descent is controlled by the slow release of the fluid back into the sump.
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Physical Parameters Can be Modified Directly in Comprehensive Touch Screen Model - The challenge of this project is to create a model of a capacitive touch screen, including physical modeling of a user’s finger, the touch screen materials, and the touch-detection circuitry. A capacitive touch screen works by measuring the change in capacitance between two conductors caused by a nearby finger. In the touch screen, two transparent conductors, which run in perpendicular directions, are separated by the screen. These conductors act as a parallel-plate capacitor where they overlap; the capacitance is determined by numerous physical parameters. For example, the conductor width, length, resistivity, and separation, along with the screen material properties and thickness, all affect the coupling between the conductors.
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Consultants in Mechatronics and Real-Time Control Quickly Produce Multi-Domain System Models - Quanser Consulting Inc. is a world-leading expert and supplier of academic experimentation in the area of mechatronics and real-time control. Its engineers are responsible for designing and implementing a range of innovative, complex systems to provide solutions for its customers’ needs. The applications of its systems range from simple devices, such as an inverted pendulum on a cart for academic study, to specific solutions for industries in the areas of aerospace, robotics, and biomedical, chemical, and civil engineering.
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