Economy Model 3D Large Working Area CO2 Laser Engraving Machine for Paper Leather Wood is built for B2B shops that need large-format nonmetal results with consistent depth and clean detail, without turning setup into a daily bottleneck.
Large marking area up to 600 × 600mm for oversized sheets and batch panels
3D dynamic focus for relief engraving, deep engraving, and curved surface processing
RF CO2 100W output designed for stable energy delivery and consistent visual finish
Water cooling to reduce heat drift during long shifts and repeated orders
File-ready workflow supports AI/PLT/DXF and common image formats for fast handoff
Best-fit work includes paper cutting, leather engraving, wood and bamboo marking, and wide-format nonmetal branding
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Features
A good CO2 engraving job has a tell. Paper edges look crisp rather than fuzzy. Leather carries a warm, controlled burn tone instead of a harsh scorched smell. Bamboo and wood show even contrast with fine grain detail that stays readable from a distance. This economy 3D large working area CO2 system was built for that moment when a customer picks up the finished piece and it feels like production quality, not an experiment.
In many workshops, the hidden cost is not the laser itself. It is the stop-and-restart routine: splitting large graphics into sections, re-aligning corners, re-checking focus, and reworking inconsistent depth. With a large field up to 600 × 600mm and 3D dynamic focusing, this model helps reduce the human tax of big-format work. Operators can repeat jobs with fewer “guess steps,” while production managers get a workflow they can document, train, and scale. The result is a shop-floor tool that supports steady daily output in packaging, leather goods, signage, and nonmetal industrial marking where customers notice both the look and the consistency.
Large-format output without splicing
Run wide sheets and big panels in one field to reduce alignment errors
Fewer reposition steps means fewer visible seams and fewer scrap pieces
3D dynamic focusing for real depth control
Smoother transitions in relief engraving rather than stepped terraces
More predictable deep engraving where consistency matters for brand perception
Cleaner detail on common nonmetals
Sharper vector edges on paper and sticker cutting
More controllable contrast on bamboo and wood textures
Better consistency on leather surfaces that vary in thickness and finish
Production-friendly stability for longer shifts
Water cooling supports consistent output when jobs run back-to-back
Helps reduce the “first parts good, later parts drift” problem that hurts re-order trust
B2B buyers do not purchase watts. They purchase deliverables that pass inspection and satisfy customers who reorder. This machine is designed to help you deliver reliable outcomes across the full sheet, not just in the center of the field.
What you can confidently sell with this platform includes large-format nonmetal branding, batch personalization, textured decorative engraving, and clean cutting on suitable paper and similar materials. The 600 × 600mm field reduces the need to tile graphics, which helps protect the look of premium packaging and signage where seams are immediately visible. For leather goods, consistent engraving depth and tonal control directly affect perceived quality, because a logo that looks uneven or burned can downgrade a product’s “premium feel.” For wood and bamboo items, stability and repeatability matter because customers want the same contrast and clarity across multiple batches, not a different shade each time.
In practical production terms, better repeatability reduces scrap, reduces operator dependence, and improves quote confidence. When you can standardize settings and hit the same outcome repeatedly, you can take larger orders without worrying that output quality will swing with shift changes.
3D dynamic focusing is valuable because it supports predictable energy delivery when the job is not perfectly flat, not perfectly uniform, or not purely surface marking. In real shops, leather thickness varies, wood surfaces are not identical, and some jobs require depth transitions for a premium tactile effect. A conventional setup can produce strong results at one focal plane but may lose consistency when depth or surface height changes across a wide field.
With 3D dynamic focus capability, relief engraving can look smoother and more intentional, especially in shaded patterns, logo fills, and layered textures. Deep engraving becomes more controllable, which reduces the trial-and-error cycle that wastes material and time. This also expands the kind of work you can sell: dimensional signage effects, layered gift packaging designs, texture fills for leather patches, and curved or uneven product surfaces where consistent focus is otherwise difficult to maintain.
For B2B buyers, this translates into margin opportunities. Dimensional effects and high-quality texture engraving often command higher pricing than simple surface marks, and they help customers differentiate their products in crowded markets.
Large-format work often fails because workflows are fragile. Files are bigger, alignment is more sensitive, and small focus errors become obvious when the design stretches across a wide surface. This model is meant to keep the process predictable and repeatable, so production is less about constant correction and more about steady throughput.
A practical workflow looks like this: import the customer file, arrange the layout, confirm a small test patch, and run the full field with minimal repositioning. Because the field can reach 600 × 600mm, you avoid the common splicing routine that adds minutes per panel and increases the risk of visible misalignment. The honeycomb platform helps stabilize wide materials and improves airflow management for certain cutting jobs, which can support cleaner edges and easier cleanup.
For throughput, reducing reposition steps is often the biggest win. Every reposition is a chance for waste, and every alignment check is a time sink that does not add value to the final product. In B2B production, the goal is a workflow that a team can train and repeat, rather than relying on one highly experienced operator. This machine supports that kind of standardization.
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