MATLAB vs. PTC Creo

MATLAB really does best for solving computational problems in math and engineering. Especially when you have to use a lot of functions in your solving process, or if you have a nonlinear equation that must be iteratively solved. [MATLAB] can also perform things like integration and derivation on your equations that you put into it.

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PTC Creo is great for assemblies that multiple users are collaborating on. Models can reference other models that someone in another department has released and when those models are changed, the referenced parts and assemblies are changed. These changes are very helpful when working on collaborative machine designs and comparing forging dies with the final parts.

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• It has a very user friendly library which helps users learn this software fairly quickly in a short span of time.
• The graphical user interface provided by the software is really good.
• The code that a person writes allows options for debugging.
• One can visualize the flow of control of their code inside MATLAB.

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• PTC Creo contains many advanced tools with better optimization for creating part models and other production related drawings.
• The initial concept designs can be done more adequately.
• The parameters of 2D drawings can be changed easily by editing the 3D model.
• The productivity can be increased by customized tools for modeling.

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• MatLab is pricier than most of its competitors and because of this reason, many organizations are moving towards cheaper alternatives - mostly Python.
• MatLab is inefficient when it comes to performing a large number of iterations. It gets laggy and often crashes. Python is better in this regard.
• There is a limited number of hardware options (mostly NI) that can be connected directly to the data acquisition toolbox.

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• No autosave
• No clear message if it has problems saving the file
• Not so easy to use
• In my experience, has a lot of things missing that other CAD already have in years
• In my experience, it's extremely easy to lose work/time

MATLAB is pretty easy to use. You can extend its capabilities using the programming interface. Very flexible capabilities when it comes to graphical presentation of your data (so many different kinds of options for your plotting needs). Anytime you are working with large data sets, or with matrices, MATLAB is likely to be very helpful.

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The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.

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I liked the training manuals I used to learn some, as I didn’t have CAD background in college or before this job. My coworkers were able to share with me what they learned in PTC training and I was able to get support online and through reading.

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How MATLAB compares to its competition or similar open access tools like R (programming language) or SciLab is that it's simply more powerful and capable. It embraces a wider spectrum of possibilities for far more fields than any other environment. R, for example, is intended primarily for the area of statistical computing. SciLab, on the other hand, is a similar open access tool that falls very short in its computing capabilities. It's much slower when running larger scripts and isn't documented or supported nearly as well as MATLAB.

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Learning curve of SOLIDWORKS is higher compared to Creo, however, stability and more design control is provided by Creo. Creo also have more robust and stable interfaces. For larger assemblies, Creo works better than SOLIDWORKS. New upgrades of Creo has given liberty to open different file data of different software without any file conversion. Creo costs comparable to SOLIDWORKS cost, with more capabilities.

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• MATLAB helps us quickly sort through large sets of data because we keep the same script each time we run an analyzation, making it very efficient to run this whole process.
• The software makes it super easy for us to create plots that we can then show to investors or clients to display our data.
• We are also looking to create an app for our product, and we will not be able to do that on MATLAB, therefore creating a limiting issue and a new learning curve for a programming language.

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• Having PTC Creo as our primary tool positions us as forward thinking and creative in the eyes of our clients.
• PTC Creo constantly evolves in the ability to increase our productivity; new capabilities and features are added, which reduce our level of effort for some tasks.

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