AI Machining Suggestions Transform Siemens NX Workflows
Siemens has launched its AI Make Machining Suggestion (MMS) feature for NX X Manufacturing, which automates Computer-Aided Manufacturing (CAM) programming tasks. This tool provides machining suggestions based on selected faces, optimizing operations for 2.5 and 3-axis machining. Users can select a face on their design, right-click, and initiate MMS to receive augmented suggestions for toolpaths, tools, and parameters specific to that feature. This functionality streamlines the machining process, enhancing efficiency and potentially reducing errors during setup. If users find that the suggestions do not meet their needs, they can upload historical part files to allow MMS to learn from past CAM data, thus generating tailored recommendations for future operations.
Additionally, users can customize and save these recommendations as rule-based suggestions, providing flexibility in their workflows. Over time, Siemens plans to enhance MMS to support more complex geometries, expanding automation beyond prismatic features to include any selected geometry. This future capability aims to analyze entire solid models, incorporating machine and tooling specifics, and leveraging historical shop data to create comprehensive machining plans. This evolution toward “agentic workflows” will facilitate better decision-making and integration into manufacturing processes. In other news, Autodesk announced a significant reduction of its workforce, cutting around 1,000 positions to modernize its go-to-market model. This move reflects a broader strategy rather than a direct pivot to AI, concentrating cuts primarily in its customer-facing sales teams. Such restructuring raises concerns about industry stability and workforce morale in the context of ongoing digital transformation. Additionally, Revolution in Simulation (Rev-Sim) has initiated a survey focused on AI and generative design’s application within engineering workflows.
The aim is to gather insights on the use of recent AI-powered generative design tools, distinguishing this from earlier computational techniques that did not involve machine learning. This survey will close in early spring, and its findings could provide valuable insights into the adoption trends of AI technologies in design. Lastly, simulation developer Flexcompute has partnered with Bramble to integrate its CFD solver into motorsport simulation processes. Zuken has released a migration tool for transferring PCB designs from Cadence OrCAD to its eCADSTAR platform, while Ency has achieved SolidWorks certification for its CAM platform, enhancing its recognition in the market. These developments underscore the importance of integrating advanced technologies into engineering workflows and the ongoing evolution of software tools that directly impact manufacturing efficiency and design accuracy.
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