Key process parameters for production and efficiency of injection molding machines Data Acquisition Network connection Remote Monitoring MES system technical solution

As a professional provider of IoT data acquisition solutions and an expert in industrial IoT data acquisition, the editor of Shanghai Data Acquisition IOT Technology Co., Ltd， (daq-iot) hereby presents the following introduction, and sincerely welcomes discussions and exchanges. Supported Communication Interfaces: CAN, RS485, Mbus, 4–20mA, Profibus, CC-Link, HART, digital I/O, etc. Industrial Protocols: Modbus RTU/TCP, HJ212, IEC104, DLT645, DLMS, IEC61850, MQTT, etc. Mail:export@daq-iot.com

asIoTData Acquisitionsolution professional provider, industrial Data Acquisition expert (professional account), and data acquisition IoT editor daq iot would like to introduce the following content here and sincerely welcome everyone to discuss and exchange ideas.

As a professional internet of things data acquisition solutions provider, industrial data acquisition experts (professional households), digital internet of things editor daq - iot here to do the following introduction, and sincerely welcome everyone to discuss and exchange.

1、 Core production and efficiency data

This type of data directly reflects the output and efficiency of the equipment, and is a measureOEEThe foundation of overall equipment efficiency.

1. Production counting

Quantity of good products: Passed throughOptoelectronics SensorOr the visual system can count the quantity of products that meet quality standards.

Quantity of waste/defective products: statistics due to flying edges, holesUneven wall thicknessThe quantity of non-conforming products caused by various reasons.

Total number of cycles: Record the total number of work cycles completed by the machine.

2. Status and Time

Equipment operating status: This is the most important basic data, usually divided into:

Running: Producing qualified products.

Shutdown: Planned shutdown (such as mold replacement, rest) and unplanned shutdown (such as malfunction)

·Standby: The device is ready, waiting for instructions or materials.

·Alarm/Fault: The device is experiencing an abnormality.

Time for each stage!

Cycle time: The time required to complete a complete blow molding cycle.

Closing timeBlow molding timeCooling time: The decomposed process time used to optimize the process.

Key process parameter data

These data directly affect product quality, and monitoring and correlating with product results is the core of achieving process optimization.

1. Temperature system

Temperature of each heating zone: the set and actual values of each heating section of the barrel, head, and die. Temperature fluctuations are one of the main reasons for unstable product quality

Mold cooling water temperature: inlet water temperature and return water temperature. The cooling efficiency directly affects the cooling time and product shaping. 2. Pressure system

Screw melt pressureReflecting the plasticization state and head resistance is a key parameter for preventing melt degradation and ensuring uniform plasticization..

Hydraulic system pressureHydraulic pressure for actions such as mold clamping, pre clamping, and blow molding.

Blowing pressure: the pressure curve of pre blowing and main blowing (set value and actual value). Directly affecting product molding and wall thickness distribution. 3. Position and speed

Screw position and speed: affect plasticization amount, back pressure, and plasticization effect.

0

Opening and closing position and speed of the mold: affecting the mold life and production cycle.

Billet thickness control valveLocation: For machines with axial wall thickness control systems, this is crucial data that determines the wall of the product,