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Multiple In-Mold Sensors for Quality and Process Control in Injection Molding
Richárd Dominik Párizs1, Dániel Török1,2, Tatyana Ageyeva1,2
1Department of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
Sensors (Basel, Switzerland)
|February 11, 2023
Summary
In-mold pressure sensors optimize injection molding efficiency and quality for Industry 4.0. These sensors effectively control clamping force, switchover, and holding time in multi-cavity molds, improving process outcomes.
Area of Science:
- Manufacturing Engineering
- Polymer Processing
- Industry 4.0
Background:
- Industry 4.0 demands simultaneous improvements in injection molding efficiency and product quality.
- Achieving these goals requires advanced sensoring and information techniques.
- Multi-cavity molds present unique challenges for process control.
Purpose of the Study:
- To investigate the suitability of in-mold pressure sensors for controlling injection molding processes in multi-cavity molds.
- To demonstrate how pressure measurements can optimize key process parameters.
- To develop a method for optimizing the holding phase using pressure data.
Main Methods:
- Conducted experiments using in-mold pressure sensors in multi-cavity molds.
- Analyzed pressure curves and pressure integrals to optimize clamping force and switchover (SWOP).
- Developed a method for holding phase optimization using pressure integral and product mass relationship.
Main Results:
- Pressure curves and integrals effectively determine optimal clamping force.
- In-channel sensors are suitable for pressure-controlled SWOP.
- Cavity sensors accurately detect the end of filling in volume-controlled methods.
- A novel method accurately determines gate freeze-off time from pressure data.
Conclusions:
- In-mold pressure sensors are highly effective for optimizing injection molding processes in multi-cavity settings.
- The proposed methods enable precise control over clamping force, switchover, and holding phase.
- This research contributes to enhanced efficiency and quality in Industry 4.0 manufacturing.
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