Transparency and efficiency in your production — data integration into your system. Available online at any time. The Smart Moulding Control is an online and real-time injection moulding quality and process control system, including:.
Advantages of Kistler mold cavity pressure systems:
The Smart Measuring Plug provides the measurement and based on the pressure curve, the control signal is sent to the SCP which communicates with the injection moulding machine and controls the selector, the robot the transfer switch over or stops the machine by 24 V digital signals. One, two or more SMP plug can be connected to the router so the maximum number of the sensors are unlimited. The system is fixed to the injection moulding machine. Consulting, Implementation — Training — Solutions. Regardless of whether it is an existing or a new project, we advise on application technology, injection molding tools and the complete process along the entire value-adding chain.
We analyze your injection molding process, discover weaknesses and optimize parameters. We suggest the sensor positions, modify the tool design, the tool itself and create statistical experimental design DoE together with your experts. On the basis of the test results, reliable quality forecasts can be made and tolerance limits can be set. On the one hand, injection molded parts must be completely filled, but on the other hand they must not be overmolded.
Viscosity variations of the raw material are mainly responsible for process deviations. We will find the root causes together with you and make visible what is really happening in the tool — all for your success. The preparation of the project is online. We consult about the goal of the project, former production failures and statistics, instrumentation, sensor positions, design, modification and manufacturing.
After the online preparation we visit the production plant of the customers and install the sensors together, then test the mould in toolshop. After the mould clamp, we optimize the process by cavity pressure. The software and other applications also the part of the training. After the training, one-two days production will be analyzed. Stability and production restart also based on cavity pressure.
During the first project, the Customer gets enough experience to handle the second one on his own.
The review is free of charge and takes 1…3 days, the design has service charge. If the customer has any kind of difficulties of the application of Cavity Eye, after invitation we can connect to the Cavity Eye instrument and give online support mould analysis, production analysis, statistical analysis, software update etc. Thanks to this online service, you do not have to wait for a service engineer and the problem can be solved in a day. Polymer, 52 6 Polymer Engineering and Science, 50 10 Shang, Y.
In-situ shrinkage sensor for injection molding. Numerical simulation of the self-assembly of a polymer-polymer-solvent ternary system on a heterogeneously functionalized substrate. Polymer Engineering and Science, 50 12 McCusker, J. Validation of dynamic models in the time-scale domain.
A model-based methodology for on-line quality control. International Journal of Advanced Manufacturing Technology, 42 Multivariate Robustness Measurement On-line simulation based process control for injection molding. Polymer Engineering and Science, 49 12 Fang, L. Surface morphology alignment of block copolymers induced by injection molding.
RJG PROCESS MONITORING
Polymer, 50 24 International Polymer Processing, 23 5 Lions and Tigers and Freshmen Numerical simulation of phase separation of immiscible polymer blends on a heterogeneously functionalized substrate. The Journal of chemical physics, Cui, Y. A bond graph approach to energy efficiency analysis of a self-powered wireless pressure sensor.
Smart Structures and Systems, 3 1 Low volume plastics manufacturing strategies. Dong, S. Process-driven input profiling for plastics processing.
Duffy, J. Service-learning integrated into existing core courses throughout a college of engineering.
Fan, Z. A low force valve for dynamic control of molten plastics in a mold.
Increase in production with automation in injection molding machine
International Polymer Processing, 21 2 Fan, B. An analytical non-Newtonian and nonisothermal viscous flow simulation.
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Polymer - Plastics Technology and Engineering, 45 3 Zhang, L. Analytic wavelet-based ultrasonic pulse differentiation for injection mold cavity pressure measurement. Decoupled gating and simulation for injection molding.
Polymer - Plastics Technology and Engineering, 45 4 Design and performance analysis of a self-regulating melt pressure valve. Polymer Engineering and Science, 46 4 Passive charge modulation for a wireless pressure sensor. Polymer flow in a melt pressure regulator. Validation of three on-line flow simulations for injection molding. Polymer Engineering and Science, 46 3 Design of ultrasonic transmitters with defined frequency characteristics for wireless pressure sensing in injection molding.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 52 8 Low-temperature modeling of the time-temperature shift factor for polycarbonate. Advances in Polymer Technology, 24 4 A self-energized sensor for wireless injection mold cavity pressure measurement: Design and evaluation. It helps you gain control over the two greatest variables in injection molding: People and plastic. But all eDART configurations have one thing in common: They provide the tools you need to go from good to great. RJG is a comprehensive system used in the plastics industry. RJG technology is recognized as the most precise and consistent method of producing high quality plastic parts.
E-S Plastics utilizes all aspects of the RJG program extensively, including processing strategy, commercial strain gauge cavity pressure sensors, and in-depth training as a total solution for precise plastic molding production. As an intricate part of the RJG technology, cavity pressure sensing technology allows E-S Plastics to produce superior quality products through precise injection molding capabilities.
Cavity pressure technology utilizes a number of sensors throughout the molding process in order to determine optimum results in the qualification process.