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MapleSim produces high fidelity, computationally efficient models suitable for in-the-loop simulations, controller design, and activities such as optimization, sensitivity analysis, and parameter sweeps, where many simulations are required to get results. MapleSim features an intuitive modeling environment, powerful analysis tools, equation-based custom components, and much more! The latest release provides new and improved model development and analysis tools, expands your modeling scope, introduces new deployment options, and strengthens toolchain connectivity.

Modelica is an open standard for describing physical models and components. MapleSim is a powerful Modelica platform that enables a level of understanding, power and extensibility that is not possible with "black-box" tools. MapleSim puts the benefits of virtual commissioning within reach even for smaller automation companies! Discover how engineers and researchers are using MapleSim to rapidly accelerate their design projects.

A wide variety of add-ons are available that enable you to connect to third-party products, utilize specialized components, and more. Download Magazine. Read More. Watch Now.

View Webinar. Maplesoft Engineering Solutions maximize the power of your engineering knowledge so you can complete your projects quickly and successfully. Join this mailing list to hear about system-level modeling applications and solutions developed by engineers from around the world.

Learn about Maplesoft events, workshops, seminars and webinars as they are announced, including webinars offered in cooperation with the SAE and the IEEE. Why MapleSim? What is Maple? Start your free trial. MapleSim helps solve tough design problems that can keep products from performing at their best.

Remove vibrations with better control code, not hardware upgrades Diagnose root-cause performance issues with detailed simulation results Validate new design performance before physical prototyping. Large-Scale Industrial Robots. Learn More. Case Study: Fixing Vibration Issues. Case Study: Pick-and-Place Robots. Injection Molding Machines. Pastinya sangat ideal untuk program pendidikan ataupun penelitian. Integrasi unit yang lebih dalam ke mesin matematika dan alat konversi yang ditingkatkan secara signifikan menyederhanakan perhitungan berbasis unit.

Maple full version terbaru ini berisikan sejumlah koleksi pengolah data dalam matematika, visualisasi, bidang aplikasi khusus, pendidikan, dan banyak lagi, beberapa bagian yang akan berguna juga. Cocok banget buat kalian yang juga bekerja pada bidang engineering dan science.

Untuk fitur selengkapnya silahkan cek pada tulisan dibawah ini. Create a custom port for a custom component. For more information, see Creating Custom Modeling Components. Kinematic Cam Generation. Model the kinematic behavior of cams and followers. Linearize a MapleSim continuous subsystem. Perform linear analysis on the linear system object, such as generating Bode plots and Root Locus plots. Model Analysis. Equation Extraction.

Retrieve equations from linear or nonlinear models. Initialization Diagnostics. Resolve inconsistent initial conditions and errors detected during the simulation, as well as give insight into the original configuration of the system. Modal Analysis. Visualize the vibration modes of a multibody model. Monte Carlo Simulation. Define a random distribution for a parameter and run a simulation using the distribution. Multibody Analysis. Retrieve multibody equations in a form that is suitable for manipulation and analysis.

Analyze and edit the parameters of a model and view possible simulation results in a graph. For more information, see Optimizing Parameters. Parameter Sweep. Execute a parameter sweep. Code Generation. Translate your model into C code. Data Generation. Define and generate a data set to be used in MapleSim, for example, a data set for an interpolation table component.

Excel Connectivity. Random Data. Define and generate a set of random data points to be used in MapleSim, for example, a data set for an interpolation table component. Board and Parts Generation. Generate a component of a board with parts. Temperature Distribution. Plot a 3-D visualization of the temperature distribution of a Heat Transfer shape component, mapping temperatures to colors. Custom Component. Create a custom modeling component based on a mathematical model. Create a worksheet by opening a MapleSim model in an embedded component.

Note: After using a MapleSim template, save the. Working with Apps. If you close and reopen an app, the Apps Manager remembers the previous state of the app. The Apps Manager displays three options:. Refresh : Return the app to the default settings. Export : Save the current settings for the app. The settings are saved as a data file. Import : Retrieve saved settings for an app. When viewing and working with MapleSim equations or properties in a Maple template, corresponding parameters, variables, connectors, subscripts and superscripts are mapped and represented differently.

The programmatic names of certain parameters, variables, and connectors displayed in the Maple worksheet differ from the names displayed for the corresponding elements in the MapleSim interface. For more information about the mappings of parameter, variable, and connector names, see the MapleSim Component Library in the MapleSim help system.

Subscripts and superscripts in the MapleSim interface are represented differently in a Maple worksheet. Subscripts in the MapleSim interface appear with an underscore character in a Maple worksheet.

Also, superscripts are formatted as regular characters in a Maple worksheet. For example, a variable called a 2 in the MapleSim interface would be displayed as a2 in a Maple worksheet.

Using Subsystems. The basic structure for exporting models is the subsystem. An app or template allows you to select a complete subsystem for which you want to analyze and manipulate. By converting your model or part of your model into a subsystem, you can more easily identify the set of modeling components that you want to explore, define the set of inputs and outputs for the subsystem, or identify the components that you want to export as a block component.

Note: When generating code for a subsystem, any included ports must be real input or real output ports. When generating code for the top-level system, the system is considered to have no inputs, but all probed values are treated as outputs. Tip: If you want to use your complete model, group all of the components at the top level of your model into a single subsystem.

You can use the Equation Extraction App to retrieve, define, and analyze equations and properties such as parameters and variables in your model. Additional features within this app are useful in generating reusable equations when there is more than one subsystem. To retrieve equations and properties:. In MapleSim, open the model for which you want to retrieve equations or properties.

Click the Add Apps or Templates tab. From the Apps palette, select Equation Extraction. Use the navigation tools under Subsystem Selection to select the subsystem for which you want to view equations. If you want to retrieve equations from the complete system, click Main. Click Load Selected Subsystem. The model equations are extracted and the system parameters and variables are loaded.

Under View Equations , click Extract Equations. The system equations are shown and are automatically stored in the variable DAEs. You can use the Linearization app to retrieve, view, and analyze the equations of a linear system, test system input and output values, and view possible simulation results in a Bode, Nyquist, or root locus plot.

Note: Linear analysis cannot be performed on the entire system. To perform linear analysis using the tools in the Analysis and Simulation section of the template, you must select a subsystem. To analyze a linear system model from MapleSim:. In MapleSim, open the linear system model that you want to analyze. From the Apps palette, select Linearization.

The App opens in the Analysis window. Using the navigation tools above the model diagram, select the subsystem for which you want to view equations. Optional Make changes in the configuration section. Click Linearize.

The linear system object is created and the equations for the system are displayed. Optional Create bode, nyquist, root locus, or response plots. After you have analyzed and configured your system, you can create a custom component based on the system and attach it to your MapleSim model. Linear System Analysis. You can use the tools in the Analysis section to analyze your linear system and to view the effects of different inputs on the outputs of your system.

For analysis, you can use the following tools:. Bode plot. Nyquist plot. Root locus plot. Response plot.

In the Response section you can choose an input signal to apply to the system and then simulate to see the effects on the output. Create Component. To create a custom component from your system:. Enter a description for your component in the Description text box. Click Create. Your custom component can be found in the Components palette of the Local Components tab of your MapleSim model.

You can use the Parameter Optimization App to test the model parameters, view simulation plots, and assign parameters to a Maple procedure to perform parameter sweeps and other advanced optimization tasks. You can also use commands from the Global Optimization Toolbox to perform parameter optimization tasks.

This product is not included with MapleSim. To optimize parameters. From the Apps palette, double-click Optimization.

Click Load System. The model simulation settings are imported. In the Parameter Values section, click the first choose Do the same to select other parameters. Note: When a parameter is selected, its current nominal value is shown in Nom. Set the range over which the parameter may vary using the min and max fields.

Using the same process described above, set the min and max fields for the other parameters you want to optimize. When you have defined all of the parameters, under Objective Function you can specify details of how to construct your objective function, and specify whether to Minimize Objective or Maximize Objective. The objective function is defined as a Maple procedure. For more information about Maple procedures, see Procedures in the Maple help system.

Now you can perform the parameter optimization. If you have the Maple Global Optimization toolbox, you can use it for this step. Click Run Parameter Optimization to perform the parameter optimization.