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About This Product
The key to reducing defects. 3 points to reduce defective rate with mold temperature measurement data logger TWINDS-T
■Point 1 Visualization Record the mold temperature with a temperature logger and convert it into data
In order to know the temperature range of good products, measure the temperature of the mold and convert it into data. If you have handwritten records, convert them into data such as Excel so that you can analyze them. TWINDS-T is a temperature logger that measures temperature by installing a thermocouple into the mold. Data measurements that were previously done by hand can be automated. Temperature data is saved in a format that can be used in Excel, reducing the number of man-hours required to convert it into data.
■Point 2: Understanding Analyze the temperature range of good products
Let's analyze the data and quantify the conditions for good product temperature, which used to be done based on the intuition of veterans. By continuing to record the temperature with a temperature logger and linking it with good and defective products, you can know the temperature range of good products. TWINDS-T is a temperature measurement data logger that automatically continues temperature recording and accumulates CSV data that can be used immediately for analysis.
■Point 3 Feedback Respond quickly to abnormalities
Introduce a temperature measurement data logger so that you can detect abnormalities on-site. By learning about abnormalities on-site, workers can make decisions quickly and accurately. In the event of an abnormality, make adjustments to maintain the condition range. TWINDS-T has a thermocouple installed in the mold, and the temperature can be checked on a monitor. Additionally, if there is an abnormality, it can be used to notify on-site workers using a light.
You can do the following by measuring mold temperature with the temperature logger TWINDS-T.
■STEP1 Check the temperature
・Evaluation: Compare simulation results and prototype temperature
・Manufacturing: Compare evaluation conditions and manufacturing temperature
■STEP2 Record the temperature
Automatically record analysis data with reduced man-hours
■STEP3 Analyze
・Linking good/defective products and temperature data
- Quantifying the tips and tricks of veterans based on temperature conditions for good quality products
■STEP4 Adjust
Adjustment to maintain condition range
・Adjustment of cooling water amount
・Adjustment of furnace temperature
・Adjusting the amount of mold release agent
・Adjustment of mold opening/closing timing
Repeating steps 1 to 4 will reduce defects and stabilize quality.
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