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Precision Cutting of Heavy-Duty Tubes for Automotive Manufacturing

Automotive

Vehicle, agricultural machinery

TZ Series
Chu Lai, Vietnam
Challenge:

In the automotive sector, processing heavy and complex tube structures is both technically demanding and time-sensitive. The customer faced persistent issues with tube instability, cutting inaccuracies, and inefficient

Solution:

To solve these challenges, AORE delivered the TZ Series Heavy-Duty Tube Laser Cutting Machine, equipped with a robust four-chuck clamping. This configuration provides full-length pipe support, enhanced rotational stability, and vibration-free cutting, even with oversized or irregular pipe materials. The system enables high-speed, high-precision processing of structural-grade tubes while reducing the need for manual intervention and secondary processing.

The integration of AORE’s TZ Series laser cutting system marked a major shift in the customer’s production capabilities. Designed specifically for heavy-duty tube applications, the machine’s advanced four-chuck clamping system delivered unmatched pipe stability throughout the cutting process. This allowed the manufacturer to maintain precise control over large-diameter, thick-walled tubes, minimizing vibration, distortion, and deviations even during high-speed operation.

As a result, the customer saw an improvement in cut quality and consistency, with cleaner edges, tighter tolerances, and fewer defects. Productivity also increased, as the system enabled faster cycle times and reduced the need for secondary machining or manual adjustment. Whether fulfilling bulk orders or custom structural parts, the factory was now equipped to meet strict quality and delivery expectations with confidence.

Beyond the equipment, AORE provided comprehensive technical support, including on-site installation, process optimization, and hands-on operator training. This ensured a smooth transition and maximized the return on investment from day one. The partnership empowered the customer to scale operations, improve delivery reliability, and st

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