Forging DX Product Information
Creation of New Added Values Using Data
NICHIDAI aims to achieve “forging DX” which incorporates sensing technology into the forging process. It aims to create the following kinds of value using data.
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01 Anomaly detection based on data
NICHIDAI monitors the state of the forging process in real time to collect and analyze data. Early detection of abnormality symptoms prevents occurrence of defective products.
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02 Die lifespan prediction based on data
NICHIDAI visualizes die status by analyzing accumulated process data. It attempts to optimize die lifespans by judging optimum replacement and maintenance times.
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03 Quality assurance using data
NICHIDAI grasps quality status through management using process data. It achieves stable quality assurance and efficient production.
Do you have any of the following problems?
Loads are changing, but I am not quite sure what’s happening.
In forging as well, it is essential to use multiple sensors to monitor and comprehensively understand the process conditions.
I collected press machine load data, but changes are difficult to identify.
Load data (indicated by broken lines) in the above two cases is almost identical.
The difference in the AE sensor data (indicated by solid lines) between the two cases is large within the pink range, making it easier to understand the change between the two cases.
Detect cracks and wear with AE sensors , making changes easier to identify and problems easier to solve.
I collected a large amount of data, but I do not know how to use it.
In the following example of Toyota Motor Corporation, the strength of 15,000
shots’ worth of AE signals is expressed in color.
The size of product burrs and the progression status of die cracks, which are
both difficult to visually identify, can be visually identified in color.
1) Mitsuho Mori, et al.: The 2025 Spring Forum, Japan Society for Technology of Plasticity (2025), 71-72
Transforming data into actionable insights through appropriate data processing.
Manufacturing Management System (MMS)
The Manufacturing Management System (MMS) is a system that collects data from multiple sensors installed on the equipment, performs visualization processing, and is used for various tasks such as anomaly detection and lifespan prediction. It consists of equipment (die sets in the case of a press) in which sensors are incorporated and a control panel on which data collection and visualization processing are performed, featuring the ability to collect data from multiple sensors including AE sensors. Collected data is visualized in real time so that process status can be grasped.
MMS’s various visualization functions
MMS features a range of visualization functions that enable real-time monitoring of process and equipment conditions. These functions allow users to visually identify early signs of abnormalities and deviations from normal operating conditions.
Mechanism that indicates data change visually
Abnormality occurrence and progression can be monitored according to color change
The Value NICHIDAI Provides
MMS, currently under development by NICHIDAI, is a system that appropriately
processes vast amounts of data to visualize previously unseen aspects of the
forging process. Through this system, we aim to deliver tangible value in
forging DX, including defect prevention, optimized die life, and data-driven
quality assurance.
Through MMS, NICHIDAI seeks to complement the knowledge and experience of
skilled operators with data-driven insights, contributing to more stable
manufacturing processes and improved productivity in forging.
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IVI Monozukuri Award
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