Welcome to the November edition of our Ask an Applied Engineer series! Each month, our engineers answer your most pressing questions. Whether you’re troubleshooting software challenges or seeking industry advice, our team is here to help you succeed.
Submit your questions here and get a response from an Applied CAx engineer.
This month, we’re answering questions about using NX CAM for the first time and AI’s role in the Mendix development process.
Question #1
Q: I’m starting to use NX CAM for the first time. What should I know before programming my first part?
A: The most important thing to learn is that NX CAM is built on the same foundation as NX CAD—it’s not a separate tool. This means you’re working directly on the same model data, without translation or risk of mismatch between design and manufacturing.
Here are a few key ideas to get started:
– Understand geometry references: NX CAM operations are associated with the model. If the design changes, your toolpaths update automatically. That’s one of NX’s greatest strengths.
– Start with the Operation Navigator: This is where you manage your programs, methods, and tools. The structure is similar to a feature tree in CAD.
– Leverage templates: NX CAM supports customizable templates for tools, feeds/speeds, and machining operations. As your company builds a library of these, you can program faster and more consistently.
– Simulation and verification: Always simulate before posting. NX’s integrated verification tools let you see gouges, excess stock, and collisions directly in the software.
In short, NX CAM rewards precision and planning. Once you grasp how associativity and templates work, you’ll see how much time and rework NX can save on every job.
Answered by Michael Grant, Design & Manufacturing Services Manager at Applied CAx
Question #2
Q: What role does AI play in the Mendix development process?
A: AI in Mendix acts like an assistant during development. It suggests logic flows, flags potential errors, and automates repetitive tasks. For example, if I’m building a workflow, the AI can recommend the next logical step or validate conditions to reduce mistakes.
Answered by Chris Ochs, Software Engineer at Applied CAx
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