👨💻 Why and how do we automate processes in our area of #Mechanics and Simulation? Our colleague Ana María Matías Calderón explains how, at CADE, using the programming language #Python in conjunction with #ANSYS software, traditional processes in the area of mechanical engineering and simulation are automated. These tasks have been repetitive and prone to errors, thus improving #efficiency and #productivity in our work, reducing errors and costs, and allowing for greater #scalability. Process automation has become a fundamental pillar to meet the demands for efficiency, precision, and speed in modern industry. Tools like Python and IronPython are leading this transformation, especially in environments like ANSYS. 👉 Read more to find out how we do it https://lnkd.in/d4anw4Gp
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🔧 Elevate Your Mechanical Engineering with Python 🐍 Why should Python be your go-to choice for process simulation and applications in Mechanical Engineering? Here's the lowdown: https://a.co/d/fFbCTZ4 Python's versatility and extensive library ecosystem empower Mechanical Engineers to simulate, analyze, and optimize systems with precision and ease. From stress analysis to fluid dynamics, Python's got the tools you need! https://a.co/d/fFbCTZ4 Discover the limitless potential of Python in Mechanical Engineering with "Python for Mechanical Engineers: Simulate, Analyze, Optimize." 📊🛠️ Don't miss out on the future of innovation! #PythonForMechEng #Simulation #Optimization #MechanicalEngineering #PythonPower #Innovation https://a.co/d/fFbCTZ4
Python for Mechanical Engineers: Simulate, Analyze, Optimize
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Should engineers stick only to the old-fashioned techniques they studied in their BSc degree? No! My experience shows that the best results appear when classic solutions are enhanced with *data-driven* approaches. Here is the procedure for electrical, aerospace, and mechanical engineers: - Build a framework easy to change and adapt. - Start with classic solutions. - Identify weaknesses. - Address them using machine learning techniques. Then whether you are a MATLAB kind of person, or Python, (or even C!), what you learned is just the basis for your future developments. --- Love dynamics and data? Check out C4dynamics, Python framework for algorithms development. https://lnkd.in/dE6zjm9y
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Exciting news! Just published MATLAB codes for generating pneumatically actuated soft robots using topology optimization. Please look into the paper for more details: "SoRoTop: a hitchhiker's guide to topology optimization MATLAB code for design-dependent pneumatic-driven soft robots," Optimization and Engineering, 2023 #topologyoptimization #softrobotics #generativedesign #design #mechanicaldesign #computationaldesign #industrialdesign #iithyderabad #share #structuraloptimization Paper link:
SoRoTop: a hitchhiker’s guide to topology optimization MATLAB code for design-dependent pneumatic-driven soft robots - Optimization and Engineering
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Session Title: Introduction to MATLAB/Simulink and Stateflow Session Overview: In this session, we will dive into the fundamentals of MATLAB/Simulink and Stateflow, two indispensable tools used in various engineering disciplines. Whether you're a student, researcher, or industry professional, this session will introduce you to the capabilities of these software packages and how they can enhance your engineering projects and simulations. Agenda: What is MATLAB? Introduction to MATLAB and its applications in engineering. Getting familiar with the MATLAB interface and basic commands. Overview of MATLAB's powerful mathematical capabilities. Getting Started with Simulink: Understanding Simulink as a visual programming environment. Creating and configuring Simulink models. Simulating dynamic systems using Simulink. Building Simulink Models: Working with blocks and signals in Simulink. Designing a simple control system using Simulink. Performing simulations and analyzing results. Introduction to Stateflow: What is Stateflow, and how does it complement Simulink? Modeling and simulating state machines using Stateflow. Implementing decision logic and event-based systems. Integration of MATLAB, Simulink, and Stateflow: Utilizing MATLAB functions and scripts in Simulink models. Incorporating Stateflow into Simulink for complex system modeling. Real-world engineering examples of combined usage. Advanced Features and Toolboxes: Exploring advanced Simulink features and toolboxes for specific applications. An overview of Embedded Coder for code generation. Case Study: Presenting a real-world engineering project solved using MATLAB, Simulink, and Stateflow. Discussing the benefits and efficiency gained from using these tools. Registration Steps: - To attend this session, please fill out the registration form at [https://lnkd.in/d6mVfypn]. - Mention the name of one of your friends whom you think would be interested in joining in Comments. - Share this post with your network and mention our page.
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Full Stack Software Consultant ✔Web Apps ✔Java ✔WebGIS ✔Flutter (Mobile, Web) ✔Aeronautical Information Systems
https://lnkd.in/eXkt82tR Introduce concepts of numerical methods and introduce Matlab in an Engineering framework. Covers the fundamentals while emphasizing the most essential methods. #matlab #NumericalMethods #programming #engineers #programmers
Introduction to Numerical Methods and MATLAB Programming for Engineers
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https://lnkd.in/eMfqcYeY Introduce concepts of numerical methods and introduce Matlab in an #engineering framework. Covers the fundamentals while emphasizing the most essential methods. #matlab #NumericalMethods #programming #engineers #programmers
Introduction to Numerical Methods and MATLAB Programming for Engineers
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Learn to create reports from a saved Mechanical session using #Python in Ansys 2024R1 with this demo from Landon Kanner, PhD, PE: https://ansys.me/4bYoByC #ansys #simulation #report #mechanical
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We're happy to announce the release of PyMechanical, a substantial enhancement to our comprehensive PyAnsys suite. Designed to bolster complex workflow automation, PyMechanical offers capabilities to streamline simulations, manage control input decks, conduct proof-of-concept studies, and seamlessly integrate Ansys Mechanical with other Python modules. Two interaction modes are offered with the Mechanical solver: 1). Remote session where PyMechanical acts as a client to a remote Mechanical instance. 2). Embedded instance where PyMechanical embeds an instance of Mechanical directly within Python. This enhancement opens up new automation and integration possibilities, and empowers Method Developers, Engineers, and Researchers to unlock the full potential of Ansys Mechanical through Python. For a quick getting started reference, checkout this blog and the accompanying PyMechanical cheat sheet created by Ramsobhan Kokkiligadda and Vikas Namdeo Blog: https://ansys.me/3qaD2fO Cheat Sheet: https://ansys.me/3OAoQG6 For more information, refer to the complete documentation: https://ansys.me/3DBRXCF
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Strategic Account Executive - Supporting tomorrow's Aerospace & Defense challenges through simulation
Enhancing your usage of #Ansys #mechanical with #PyMechanical #mechanicalengineering #pythoncode #pythonprogramming
We're happy to announce the release of PyMechanical, a substantial enhancement to our comprehensive PyAnsys suite. Designed to bolster complex workflow automation, PyMechanical offers capabilities to streamline simulations, manage control input decks, conduct proof-of-concept studies, and seamlessly integrate Ansys Mechanical with other Python modules. Two interaction modes are offered with the Mechanical solver: 1). Remote session where PyMechanical acts as a client to a remote Mechanical instance. 2). Embedded instance where PyMechanical embeds an instance of Mechanical directly within Python. This enhancement opens up new automation and integration possibilities, and empowers Method Developers, Engineers, and Researchers to unlock the full potential of Ansys Mechanical through Python. For a quick getting started reference, checkout this blog and the accompanying PyMechanical cheat sheet created by Ramsobhan Kokkiligadda and Vikas Namdeo Blog: https://ansys.me/3qaD2fO Cheat Sheet: https://ansys.me/3OAoQG6 For more information, refer to the complete documentation: https://ansys.me/3DBRXCF
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🟢 CAREL and MathWorks Announce Integration of STone and Simulink for Enhanced HVAC/R Programming At the SPS Italia event on May 29, CAREL unveiled the integration of its new STone programming tool with MATLAB - Simulink, in collaboration with MathWo... Read more on our website today https://lnkd.in/d2HdnCKb Subscribe to our newsletter to stay updated with important industry news https://lnkd.in/dRV4mPk. Follow and use #refindustry for #refrigeration news.
CAREL and MathWorks Announce Integration of STone and Simulink for Enhanced HVAC/R Programming
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Designer, researcher
2wThis looks like a good place for AI.