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Revolutionizing Rotation Stop Assembly: Ruizhi Intelligence’s Rotation Stop Assembly Machine Leads the New Paradigm of Precision Manufacturing

Revolutionizing Rotation Stop Assembly: Ruizhi Intelligence’s Rotation Stop Assembly Machine Leads the New Paradigm of Precision Manufacturing

In the critical period of global high-end equipment manufacturing transformation towards intelligence, rotation stop assemblies, as core components of mechanical transmission systems, their assembly precision directly affects the stability and reliability of equipment operation. Recently, Ruizhi Intelligence launched a new generation of Rotation Stop Assembly Machine, which overcomes the assembly challenges of complex components such as automotive transmission rotation stop pins, industrial robot reducer rotation stop blocks, and electronic equipment anti-rotation connectors with nanometer-level precision and adaptive force control technology, pushing precision machinery manufacturing into a new stage of intelligent manufacturing featuring “zero deviation and high flexibility”.

Core Technological Breakthroughs: Deep Integration of Multi-Dimensional Force Control and Intelligent Assembly

Five-Axis Linkage Precision Assembly System

The equipment is equipped with an aviation-grade five-axis force-controlled robotic arm and high-frequency servo drive system, constructing a closed-loop control system of “dynamic perception-intelligent decision-precision execution”:

  • Piconewton-Level Torque Adaptive Control: For different scenarios such as automotive transmission rotation stop pins (requiring 15-20N·m torque) and robot reducer rotation stop blocks (5-8N·m), the system can automatically switch between 16 tightening modes, with torque control accuracy reaching ±0.01N·m. After application by an automobile manufacturer, the loosening rate of transmission rotation stop assemblies dropped from 1.8% to 0.05%, and assembly efficiency increased by 2.8 times.
  • Flexible Buffer Press-Fitting Technology: In the assembly of anti-rotation connectors for electronic devices, the robotic arm presses with a constant force of 50pN (piconewton), combined with a laser ranging system to achieve 0.01mm-level gap control, reducing interface wear by 95% compared with traditional rigid assembly.

Nanometer-Level Visual Guidance and Defect Detection

The equipment integrates 10K ultra-high-definition industrial cameras and laser interferometers to construct a micron-level 3D detection network:

  • Atomic Force Microscope-Level Surface Scanning: Generating nanometer-level topography of component surfaces through phase shift interferometry, it can identify 0.05μm-level scratches on assembly surfaces. In the detection of rotation stop blocks for industrial robot reducers, the system automatically screens components with out-of-tolerance flatness, reducing the subsequent assembly operation noise from 65dB to 42dB, and improving precision to ±0.002mm.
  • AI Path Optimization Algorithm: Automatically generating spiral assembly trajectories based on 3D models of rotation stop assemblies, for multi-station rotation stop pins of automotive transmissions, the path planning efficiency is 20 times higher than manual programming, shortening the assembly time per component from 90 seconds to 32 seconds.

Modular Quick Changeover System

The equipment adopts an electromagnetic quick-plug tooling module design, supporting second-level switching of multi-category rotation stop assemblies:

  • 6-Minute Ultra-Fast Changeover: Dedicated modules are equipped for three typical product categories: automotive parts, industrial robots, and electronic devices:
  • Automotive module: Integrated with multi-axis tightening mechanism and torque-angle monitoring device;
  • Robot module: Equipped with special press-fitting unit for harmonic reducer rotation stop blocks;
  • Electronic module: Built-in micro-electro-mechanical system (MEMS) anti-rotation structure assembly tooling.
    Through hydraulic locking and automatic calibration systems, module replacement time is compressed to 6 minutes, increasing changeover efficiency by 92% compared with traditional methods.

    • Intelligent Pushing of Process Parameters: During changeover, the MES system automatically retrieves the process database of the corresponding product, and the AI algorithm optimizes assembly parameters based on historical data, avoiding precision fluctuations caused by manual debugging.

Application Scenarios in Practice: Dual Leap of Efficiency and Quality

Case 1: Fully Automatic Assembly of Automotive Transmission Rotation Stop Assemblies

In the dual-clutch transmission production line of a German automaker, the comparison between traditional processes and automated equipment is as follows:

Process Type Manual Assembly (10 Workers) Ruizhi Intelligence Assembly Machine (1 Equipment)
Single-Shift Capacity 500 sets 1,800 sets
Rotation Stop Pin Loosening Rate 1.5% 0.03%
Torque Consistency ±5% ±0.8%
Energy Consumption Cost 4,500 yuan/shift 1,500 yuan/shift

Especially in the perpendicularity control of rotation stop pins and transmission housings, the equipment monitors pressure distribution at 12 points in real-time and adjusts the press-fitting speed (0.05-3mm/s), controlling the perpendicularity deviation within ≤0.01°, which increases precision by 10 times compared with manual assembly, ensuring smooth shifting of the transmission.

Case 2: Assembly of Harmonic Reducer Rotation Stop Blocks for Industrial Robots

Aiming at the harmonic reducer rotation stop blocks of high-end industrial robots, the equipment demonstrates unique advantages:

  • Pain Points of Traditional Processes: The assembly of rotation stop blocks and flexspline requires manual adjustment with a microscope, taking 12 minutes per component, and the coaxiality out-of-tolerance rate reaches 10%.
  • Automated Solution: Through a three-vision system (top-view + side-view + bottom-view cameras), it real-time monitors 3D offset, and the robotic arm completes positioning with 0.005mm-level precision. Combined with an ultrasonic welding device, the assembly time per component is shortened to 2.5 minutes, and the coaxiality deviation is controlled within ±0.008mm. After application by a robot manufacturer, the transmission error of the reducer decreased from ±12arcsec to ±3arcsec, saving over 4 million yuan in annual precision compensation costs.

Industry Impact: Opening the Era of Precision Machinery Manufacturing 4.0

With the surging demand for automotive electrification and industrial robot density globally (it is expected that the global industrial robot density will reach 364 units/10,000 people by 2025), high-precision rotation stop assembly capabilities have become the core competitiveness of enterprises. The R&D director of Ruizhi Intelligence pointed out that the equipment supports docking with digital twin systems through the OPC UA protocol, which can upload assembly data to the cloud in real-time, achieving full-process digital twin verification from components to finished products.

At present, the equipment has been implemented in leading enterprises such as Volkswagen and KUKA, averagely reducing 18 workers per production line and decreasing workshop floor area by 40%. Industry reports show that the rotation stop assembly machine market will grow at an average annual rate of 33% in the next 3 years. Equipment with nanometer-level force control and AI vision will become the mainstream, promoting the thorough transformation of precision machinery manufacturing from “experience-based assembly” to “digital intelligent manufacturing”.

Technical Extension: The equipment’s five-axis force control technology has obtained a national invention patent (Patent No.: ZL2024XXXXXX), and the nanometer-level vision system has passed ISO 13849 PLd safety certification. Ruizhi Intelligence will demonstrate the high-speed assembly process of harmonic reducer rotation stop blocks at the Hannover Messe in Germany in November 2025, where visitors can closely observe the technical details of 0.005mm-level precision assembly.
#PrecisionMechanicalAssembly #IntelligentEquipment #Industry4.0 #DigitalTwin

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