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Embodied Intelligence Casting Cleaning Workstation
Embodied Intelligence Casting Cleaning Workstation
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  • Embodied Intelligence Casting Cleaning Workstation
  • Embodied Intelligence Casting Cleaning Workstation

Embodied Intelligence Casting Cleaning Workstation

Service Hotline:+86-19174888669

Product Introduction

Building on conventional automated deburring equipment, the Embodied Intelligence Deburring Workstation integrates embodied intelligence and machine vision technologies to enable adaptive process planning and flexible grinding and cutting tailored to the unique characteristics of various castings. It establishes a deburring expert system with autonomous decision-making capabilities, driving comprehensive improvements in deburring efficiency, machining quality, and environmental sustainability under complex operating conditions.

The system comprises a grinding unit, a handling system, a conveying system, a pneumatic system, a hydraulic system, an electrical control system, and a safety protection system. The grinding system leverages the robot’s high flexibility to meet production demands characterized by a wide variety of castings and complex geometries; this advantage is particularly pronounced for castings with intricate internal cavities. The entire rough‑casting cleaning and machining process—loading, grinding, transfer, and unloading—is fully automated, enabling safe, efficient, and stable unmanned operation. Processing quality remains consistently stable, with adaptive compensation for workpiece deviations, precise control of material removal, and trajectory optimization that reduces grinding time and minimizes subsequent rework steps.

 

Technical Specifications

1. After grinding, the remaining height of flash shall be ≤1 mm.

2. The surface roughness of the machined areas shall meet the Rz50 grade.

 

Application areas

Cleaning of engine cylinder blocks, cylinder heads, and other cast‑part blanks, enabling the removal of riser and sprue remnants, flash, and surface irregularities, thereby addressing the technical bottleneck that has long hindered the automation of these processes using conventional methods and manual labor.

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