Optimising cutting, punching, and part removal is crucial for manufacturers aiming for higher precision, efficiency, and reduced waste.
With the latest enhancements in SigmaNEST V25, users now have access to smarter nesting strategies, improved NC programming, and automated part removal solutions.
These updates ensure that lead-ins, toolpaths, and machine compatibility work seamlessly, reducing errors and maximising throughput.
This blog will explore the most impactful improvements in SigmaNEST V25, helping you optimise your cutting, punching, and part removal workflows.
Enhancements in Cutting Efficiency
HD SuperNest Engine and Floating Lead-Ins
One of the most significant updates in SigmaNEST V25 is the enhancement of HD SuperNest Engine, an advanced add-in for SigmaNEST that now supports floating lead-ins.
This feature ensures:
- Optimised cutting precision by automatically adjusting lead-in positions.
- Minimised edge imperfections, even when parts are rotated or mirrored.
- Faster nesting and cutting times with reduced manual adjustments.
- Maximised material utilisation using advanced nesting algorithms, allowing more parts per sheet to reduce waste and lower costs.
This enhancement ensures greater efficiency in nesting and cutting, reducing material waste and improving production speed without requiring additional manual intervention.
NC By Contour and Go-To Modes for Faster Lead-In Adjustments
SigmaNEST V25 introduces single-click lead-in positioning within NC By Contour and Go-To Modes, allowing users to:
- Quickly reposition lead-ins without complex reprogramming.
- Ensure safe and efficient toolpaths with optimised entry points.
- Speed up the programming process, making production more efficient.
This improvement eliminates the need for time-consuming manual adjustments, ensuring smoother cutting operations.
Improving Punching and Toolpath Automation
Auto Complete NC for Punch/Profile Combo Machines
Punch/profile combination machines now benefit from Auto Complete NC, a feature that:
- Recognises incomplete tooling setups and automatically finishes the programming.
- Ensures all necessary punching operations are applied before running the NC program.
- Reduces human error by checking for missing tools and making corrections.
With Auto Complete NC, users can accelerate machine programming and maintain higher accuracy.
Optimising Part Removal with Smart Automation
Cut/Rapid/Cut Delay Feature: Reducing Torch Collisions
A new Cut/Rapid/Cut Delay feature enhances cutting stability and part retention, ensuring:
- Parts remain attached longer, reducing movement-related errors.
- Minimised torch collision risks, preventing disruptions during cutting.
- Increased efficiency for complex cuts, making high-precision cutting more reliable.
This update reduces scrap rates and improves cutting consistency, particularly for intricate designs.
Mazak Smart Cell Integration for Automated Part Removal
SigmaNEST V25 now supports Mazak Smart Cell’s multi-gripper part removal system, which:
- Allows multiple grippers to pick parts in any sequence for increased automation.
- Uses colour-coded gripper assignments to streamline pickup and drop-off processes.
- Enhances automation for high-volume production by eliminating manual part sorting.
With Mazak Smart Cell integration, manufacturers can fully automate part removal, reducing labour costs and improving throughput.
This system efficiently organises and stacks parts, ensuring they are neatly arranged without damage during handling.
By allowing multiple grippers to pick parts in any sequence, Mazak Smart Cell enhances precision and consistency in part removal, streamlining operations while maintaining part integrity.
The Bottom Line
SigmaNEST V25 brings major advancements in cutting precision, NC programming, and part removal automation.
With features like floating lead-ins, automated toolpath adjustments, and intelligent part removal, manufacturers can increase efficiency, reduce errors, and optimise material usage.
By adopting these new automation-driven enhancements, SigmaNEST users can achieve faster production cycles and higher-quality output, making their operations more competitive.