PLC Application Case: Rubber Extrusion Production Line Achieves 300% Improvement in Product Accuracy!

PLC Application Case: Rubber Extrusion Production Line Achieves 300% Improvement in Product Accuracy!

PLC Application Case: Rubber Extrusion Production Line Achieves 300% Improvement in Product Accuracy!

Introduction

**Hello everyone!** Today I want to share a case that has excited engineers in the rubber products industry — the practical experience of improving the accuracy of a PLC-controlled rubber extrusion production line by 300%! Don’t doubt it, this is not a theoretical calculation, but areal achievement from our team at a large rubber products factory. Want to know how we did it? Keep reading!

Project Background

Let’s first take a look at the state of the rubber extrusion production line before the transformation:

  • Large product size fluctuations: ±1.5mm tolerance led to frequent complaints from customers

  • High scrap rate: Reaching 15%, resulting in serious raw material waste

  • Long mold change time: 45 minutes needed for adjustments each time product switching occurred

  • Frequent manual interventions: Operators needed to constantly adjust parameters manually

**”This is simply burning money!”** Factory Director Wang described the production situation at that time. So, how did the PLC change all of this?

PLC Transformation Plan

We adopted a control system centered around theSiemens S7-1500 series PLC, combined withhigh-precision servo drives and intelligent temperature control modules, achieving the following key improvements:

1. Closed-loop Control System

Traditional Method: Open-loop control, operators adjust based on experience

PLC Solution:<span>Real-time feedback + automatic compensation</span> closed-loop control

**”It’s like installing an autopilot system on the production line!”** Operator Xiao Li commented on the transformed system. The PLC monitors extrusion pressure, temperature, and speed in real-time, automatically adjusting parameters to ensure product consistency.

2. Intelligent Temperature Zone Control

Rubber extrusion is extremely sensitive to temperature, and traditional control methods exhibit a **”temperature roller coaster”** phenomenon:

  • Heating Zone: Temperature fluctuation of ±10℃

  • Cooling Zone: Uneven cooling

We adopted the PLC’sPID temperature control algorithm, dividing the entire production line into 8 temperature control zones, each independently controlled:

  • Temperature fluctuation: Reduced from ±10℃ to ±0.5℃

  • Energy consumption reduction: 15%

3. Adaptive Extrusion Speed Control

Key Breakthrough: The PLC automatically adjusts the extrusion speed based on real-time monitoring of rubber viscosity

“It’s like giving the production line an intelligent brain!” Technical Director Zhang exclaimed. Through the PLC’sadaptive algorithm, the system can:

  • Automatically compensate for raw material batch differences

  • Real-time adjust screw rotation speed

  • Ensure constant extrusion volume

Amazing Results

After 3 months of operational testing, the transformed production line deliveredstunning results:

| Metric | Before Transformation | After Transformation | Improvement Rate |

|——|——–|——–|———-|

| Product Accuracy | ±1.5mm | ±0.5mm | 300% |

| Scrap Rate | 15% | 3% | 80% reduction |

| Mold Change Time | 45 minutes | 8 minutes | 82% reduction |

| Production Capacity | 800 meters/hour | 1200 meters/hour | 50% increase |

**”It’s like replacing the entire production line!”** Director Wang looked at the report and couldn’t stop smiling.

Technical Details Revealed

Want to know how we achieved these improvements? Here are a fewkey technical points:

1. High-Precision Position Control

Using1μm resolution encoders for feedback, the PLC controls the servo motor to achieve:

  • Screw position accuracy: ±0.01mm

  • Speed control accuracy: ±0.1%

**”We could never have imagined such accuracy before!”** Equipment Supervisor Lao Chen said.

2. Intelligent Recipe Management System

We developed adynamic recipe system based on PLC:

  • Stores 200 product recipes

  • One-click switching, automatically adjusting all parameters

  • Historical data traceability function

Operator Xiao Wang stated:<span>"Switching products is as easy as changing TV channels now!"</span>

3. Predictive Maintenance Function

The PLC system also integratesequipment health monitoring:

  • Vibration analysis

  • Temperature trend monitoring

  • Wear prediction

Maintenance Team Leader feedback:<span>"Now we can detect problems in advance, no more 'firefighting'!"</span>

Challenges Encountered

Of course, the project was not smooth sailing, and we encountered severalthorny issues:

  1. Variability in Rubber Material Properties: Significant viscosity differences between different batches of raw materials

  • Solution: Develop adaptive compensation algorithms
  • Environmental Temperature Effects: High summer temperatures led to decreased cooling efficiency

    • Solution: PLC dynamically adjusts cooling water flow
  • Operator Resistance to Change: Older employees distrust automatic control

    • Solution: Conduct training + set manual/automatic switching functions

    **”The biggest challenge is actually changing people’s mindsets.”** Project Leader Liu summarized.

    Replicable Experience

    If you want to replicate such success in your own factory, here are a fewpractical suggestions:

    1. Start with Key Pain Points: First address the most impactful issues

    2. Implement in Phases: Don’t try to transform the entire system at once

    3. Emphasize Data Collection: Historical data from the PLC is crucial for optimization

    4. Train Your Team: Ensure operators and maintenance personnel master the new system

    Technical Consultant Lao Li emphasized:<span>"PLC is just a tool; the real improvement comes from a deep understanding of the process."</span>

    Interactive Questions

    1. What similar challenges does your production line face?

    2. What production issues have you considered solving with PLC?

    3. If you were to implement a similar transformation, what aspects would you be most concerned about?

    Conclusion

    The successful transformation of this rubber extrusion production line proves thatPLC is not just a simple controller; when combined with advanced algorithms and a proper understanding of processes, it can bring aboutamazing improvements. A 300% increase in accuracy not only means better product quality but also leads tolower costs, higher efficiency, and stronger market competitiveness.

    **”This is not the end, but a new starting point for intelligent manufacturing!”** Director Wang said at the project summary meeting. I hope this case inspires you, and if you have any questions or want to share your experiences, feel free to leave a comment for discussion!

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