< img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=254858097581651&ev=PageView&noscript=1" />

NEWS

Home News

Ways to control injection molding machine

Controlling an injection molding machine involves managing various parameters to ensure high-quality part production, cycle efficiency, and process stability. There are several methods and systems used to control an injection molding machine depending on its complexity, automation level, and application.

Main Ways to Control an Injection Molding Machine

1. Manual Control

  • Basics: Operators set machine parameters using knobs, dials, or basic digital panels.
  • Usage: Found on older or simpler machines.
  • Limitation: Less repeatability and higher risk of human error.

2. PLC-Based Control (Programmable Logic Controller)

  1. Widely Used: Most modern machines are controlled by PLCs with touchscreens.
  2. Functions Controlled:
    • Injection speed & pressure
    • Holding pressure & time
    • Mold open/close speed
    • Screw rotation and back pressure
    • Temperature zones (barrel, mold, nozzle)
  3. Advantages:
    • Precise and repeatable
    • Real-time monitoring and alarms
    • Easy recipe management and automation integration

3. CNC or Microcontroller-Based Control

  • Used in micro injection molding or desktop units
  • Ideal for high-precision small part production
  • Often includes data logging, USB interfaces, and software control

4. Closed-Loop Control Systems

  1. Sensors (pressure, temperature, position) provide real-time feedback
  2. System adjusts parameters dynamically to maintain consistency
  3. Benefits:
    • Minimizes part defects
    • Enhances energy efficiency
    • Compensates for material batch variations or ambient changes

5. SCADA/HMI Integration

  1. Supervisory Control and Data Acquisition systems for:
    • Plant-wide monitoring
    • Integration with MES/ERP systems
    • Alarm management, production analytics
  2. Often paired with Industry 4.0/IIoT capabilities

6. AI-Based or Smart Injection Molding Control

  1. Utilizes AI algorithms and machine learning for:
    • Predictive quality control
    • Cycle optimization
    • Anomaly detection
  2. Offered in high-end systems (e.g., Engel’s iQ weight control, Arburg’s ALS, Wittmann Battenfeld’s TEMI+)