Rajan Kumar

Picking the right solver is key to cracking tough problems in CAE. Whether you're dealing with static loads or dynamic impacts, the decision between implicit & explicit solvers is crucial to achieve accurate outcome. To help navigate this, I’ve created a simple Solver vs. Problem Type grid that highlights which #CAE solver works best for specific scenarios. Check out below diagram to find the right solver for your next simulation! #CAEwithAbhinav #Engineering #ProblemSolving Explore 30 charts in CAE to enhance your understanding - Link in comment 👇 My Physics Cafe

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Imagine interacting with your designs in full context and at scale. Explore the transformative power of the Digital Thread, dive into real-world examples of Augmented Reality design sharing, and see how Windchill can revolutionize your workflow and Multi-CAD Data Management, especially with SolidWorks.

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In such situation you take a drawing and a measuring equipment. Based on the results of that, regardless if you are manufacturer or designer, you take the blame and use that to be better next time.

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Can you accurately predict the thermal behavior of your tooling? 🤔 This simulation shows the thermal influence the injection molding process has on the moveable half of this mold throughout multiple cycles. As you can see, there’s >10°C temperature difference from one end of the cavity to the other. This can lead to warp across the entire part if not cooled properly. This analysis can find how many cycles the mold needs to reach a steady state, allowing you to locate hot or cold spots in your tooling so you can optimize your cooling & make better, more consistent parts. #SIGMASOFTTIPS ##SIGMASOFT #VIRTUALMOLDING

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🔎 Did you know?    #Honda R&D leverages Simcenter Amesim to create integrated engine and vehicle models, predicting and resolving hybrid restart vibrations.    🧩 How #SimcenterAmesim can benefit you?   Simcenter Amesim empowers engineers to virtually design, manufacture, and optimize complex systems. It predicts mechatronic system behavior, balances performance attributes like noise and vibration, and reduces physical prototyping.   ✅ This translates to faster design cycles, lower costs, and superior products. Visit today dipolo-gmbh.de for more!     #DipoloGmbh #SimcenterAmesim #NVH #HybridVehicles #Honda   

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The CNC Machining Industry Continues to Evolve in 2024 👇 As we approach the midpoint of the 2020s, the CNC machining industry has continued to undergo significant transformation and advancement. The year 2024 has seen a number of notable developments that are shaping the future of this critical manufacturing technology. ⚙ 🛠 ⚒ One of the most significant trends has been the increasing adoption of automated and robotic CNC systems. Improvements in sensor technology, control systems, and artificial intelligence have allowed CNC machines to operate with greater autonomy, reducing the need for direct human supervision. This has boosted productivity and efficiency in CNC machining shops, enabling them to take on more complex and high-volume projects. Alongside automation, the continued miniaturization and specialization of CNC equipment has also been a major theme. Compact, desktop-sized CNC mills and lathes are becoming more affordable and accessible, opening up advanced machining capabilities to smaller businesses and individual hobbyists. Meanwhile, the development of CNC machines tailored for specific applications like micromachining and surgical implant production has allowed manufacturers to achieve unprecedented levels of precision and part quality. The materials that CNC machines can process have also expanded dramatically. The rise of advanced metal alloys, engineered plastics, and composite materials has challenged traditional metalworking techniques. CNC machine builders have responded by upgrading spindle power, tool changers, and other key components to handle these new materials. 3D printing technologies integrated with CNC machining have further broadened the range of parts that can be produced cost-effectively. Looking ahead, industry experts predict that the CNC machining sector will continue to be shaped by digitalization and connectivity. The integration of CNC systems with cloud computing, industrial IoT, and data analytics will allow for more predictive maintenance, remote monitoring, and real-time process optimization. The ability to rapidly simulate, program, and monitor CNC operations will be crucial as manufacturers strive for greater flexibility and responsiveness. Overall, the CNC machining industry appears poised for further transformation in the coming years. As automation, miniaturization, and digitalization continue to advance, the ability of CNC technology to meet the evolving needs of modern manufacturing will be critical. Companies that can keep pace with these changes will be well-positioned to thrive in the years ahead. 🚀 🚀 If you want to learn more, feel free to reach out www.sino-mfg.com.  Let’s connect and explore opportunities. 🤝 ✅ 🙋‍♀️Cathy Kan ✅ ✉ [email protected] ✅ ☎ 86 189 3865 9408 (WhatsApp)

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Over the years, I have seen people say "it may be happening in the field but we cannot do everything in CAE". Unfortunately, even it is used to cover even those things that can be done by CAE. I have seen people say that FEA calculates the stress "in a different way" and hence no hand calculation can match any FEA result. I believe none of this is true. What is your experience regarding this? Please comment. #cae #fea #stressanalysis #mechanicalengineering #industry .

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