Low pressure RTM internal pressure sensor 4001A...
Ideal for measuring mold pressure and mold surface temperature in low-pressure RTM and autoclave molding processes!
• Optimal for low pressure, high temperature, and low viscosity resins • Long-term static pressure measurement possible due to piezoresistive design • Two independent channel outputs can be individually range set • High-resolution measurement of low pressure vacuum and minimal pressure changes • Simultaneous measurement of resin pressure and mold surface temperature • Automatic temperature compensation prevents thermal changes from affecting pressure signals during molding • Measurement element for high temperatures can measure up to 275°C
basic information
This sensor is an in-mold pressure sensor designed for low pressure, high temperature, and low viscosity resins based on the piezoresistive measurement principle. An amplifier tailored to each individual sensor is used. The pressure is received by the diaphragm at the sensor tip and transmitted to the high-temperature measuring element. It is possible to simultaneously measure the in-mold pressure and the mold surface temperature at the same location within the mold.
Price range
Delivery Time
Model number/Brand name
4001A
Applications/Examples of results
This sensor is designed for the molding of fiber-reinforced components and is particularly suitable for in-mold pressure measurement in low-pressure RTM molding. It is also suitable for low-pressure measurements in high-temperature, long-duration environments.
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Announcement of a free webinar: Semiconductor resin encapsulation molding "Visualization solutions for inside the mold" and IoT technology (4/27)
In the semiconductor industry, particularly in the resin encapsulation process for power semiconductors aimed at NEVs (New Energy Vehicles), there is an increasing demand for the "visualization" of the internal conditions of molds to achieve zero defects in the manufacturing process. In this webinar, we will propose sensing technologies to improve molding defects using a quartz piezoelectric pressure sensor developed for low-viscosity resins like epoxy transfer molding and for low-pressure measurements. - Compatible with low-viscosity resins ⇒ Structure that does not cause measurement errors due to the intrusion of epoxy resin (diaphragm structure) - High-temperature compatibility ⇒ Mold temperatures up to 200°C - Linearity (measurement error) ⇒ Less than 1% relative to the measurement range - Resolution ⇒ 1/1,000 MPa This webinar will be held three times on the following dates, but the content will be the same for all sessions, so please feel free to join on a date that suits you! April 27, 2022 (Wednesday) May 11, 2022 (Wednesday) May 18, 2022 (Wednesday) Please check the details and register using the registration form. https://info.kistler.com/ja-webinar-semicon We look forward to many participants joining us.
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Announcement of Free Webinar: Semiconductor Resin Encapsulation Molding "Visualization Solutions Inside Molds" and IoT Technology (5/18)
In the semiconductor industry, especially in the resin encapsulation process for power semiconductors aimed at NEVs (new energy vehicles), there is an increasing demand for the "visualization" of the internal conditions of molds to achieve zero defects in the manufacturing process. In this webinar, we will propose sensing technologies to improve molding defects using a quartz piezoelectric pressure sensor developed for low-viscosity resins, such as epoxy transfer molding, and for low-pressure measurements. - Compatible with low-viscosity resins ⇒ Structure that does not produce measurement errors due to resin intrusion (diaphragm structure) - High-temperature compatibility ⇒ Mold temperatures up to 200°C - Linearity (measurement error) ⇒ Less than 1% for the measurement range - Resolution ⇒ 1/1,000 MPa May 18, 2022 (Wednesday) Please check the details and register using the registration form. https://info.kistler.com/ja-webinar-semicon We look forward to the participation of many people.
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Announcement of a free webinar: Semiconductor resin encapsulation molding "Visualization solutions for the inside of molds" and IoT technology (May 11)
In the semiconductor industry, particularly in the resin encapsulation process for power semiconductors aimed at NEVs (new energy vehicles), there is a growing demand for the "visualization" of the internal conditions of molds to achieve zero defects in the manufacturing process. In this webinar, we will propose sensing technologies to improve molding defects using a quartz piezoelectric pressure sensor developed for low-viscosity resins, such as epoxy transfer molding, and for low-pressure measurements. - Low-viscosity resin compatibility ⇒ Structure that does not produce measurement errors due to epoxy resin intrusion (diaphragm structure) - High-temperature compatibility ⇒ Mold temperatures up to 200°C - Linearity (measurement error) ⇒ Less than 1% against the measurement range - Resolution ⇒ 1/1,000 MPa This webinar will be held twice on the following dates, but the content will be the same for both sessions, so please feel free to join on the date that is most convenient for you! May 11, 2022 (Wednesday) May 18, 2022 (Wednesday) Please check the details and register via the registration form. https://info.kistler.com/ja-webinar-semicon We look forward to many participants joining us.
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Announcement of Free Webinar: Semiconductor Resin Molding "Visualization Solutions Inside the Mold" and IoT Technology (April 20)
In the semiconductor industry, particularly in the resin encapsulation process for power semiconductors aimed at NEVs (new energy vehicles), there is an increasing demand for the "visualization" of the internal conditions of molds to achieve zero defects in the manufacturing process. In this webinar, we will propose sensing technologies to improve molding defects using a quartz piezoelectric pressure sensor developed for low viscosity resins, such as epoxy transfer molding, and for low-pressure measurements. - Low viscosity resin compatibility ⇒ Structure that does not cause measurement errors due to epoxy resin intrusion (diaphragm structure) - High temperature compatibility ⇒ Mold temperatures up to 200°C - Linearity (measurement error) ⇒ Less than 1% relative to the measurement range - Resolution ⇒ 1/1,000 MPa This webinar will be held four times on the following dates, but the content will be the same for all sessions, so please join us on a date that suits you! April 20, 2022 (Wednesday) April 27, 2022 (Wednesday) May 11, 2022 (Wednesday) May 18, 2022 (Wednesday) Please check the details and register using the registration form. https://info.kistler.com/ja-webinar-semicon We look forward to many participants joining us.
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Announcement of Free Webinar: Semiconductor Resin Encapsulation Molding "Visualization Solutions for Inside Molds" and IoT Technology (4/20, 4/27, 5/11, 5/18)
In the semiconductor industry, particularly in the resin encapsulation process for power semiconductors aimed at NEVs (new energy vehicles), there is an increasing demand for the "visualization" of the internal conditions of molds to achieve zero defects in the manufacturing process. In this webinar, we will propose sensing technologies to improve molding defects using a quartz piezoelectric pressure sensor developed for low-viscosity resins, such as epoxy transfer molding, and for low-pressure measurements. - Low-viscosity resin compatibility ⇒ Structure that does not cause measurement errors due to epoxy resin intrusion (diaphragm structure) - High-temperature compatibility ⇒ Mold temperatures up to 200°C - Linearity (measurement error) ⇒ Less than 1% against the measurement range - Resolution ⇒ 1/1,000 MPa This webinar will be held on the following four dates, but the content will be the same on all dates, so please join us on a day that suits you! April 20, 2022 (Wednesday) April 27, 2022 (Wednesday) May 11, 2022 (Wednesday) May 18, 2022 (Wednesday) Please check the details and register via the registration form. https://info.kistler.com/ja-webinar-semicon We look forward to many participants joining us.