With the rapid development of the automotive manufacturing industry in recent years, the demand for higher-quality engine components has significantly increased. One critical area is the cylinder head, where precision grinding is essential to ensure a tight seal between the cylinder block and the head.
Irregularities in flatness caused by cylinder block deformation can lead to serious problems such as:
Poor sealing
Air, water, or gas leakage
Gasket damage
Assembly misalignment between the engine and gearbox
Increased wear, noise, and reduced engine efficiency
Challenge
The cylinder head is typically made of high-hardness steel with complex structures and fine features, such as:
Ring grooves
Narrow pinholes
Edges of locating shoulders
Small oil passages (as small as 4 mm)
Valve ports (up to 450 mm in diameter)
These features make manual deburring and grinding extremely difficult. Manual processes are not only labor-intensive (requiring up to four operators per production line) but also inconsistent and inefficient. They are prone to defects, rework, and increased labor costs.
Moreover, the grinding environment is harsh—full of dust and noise—posing health and safety risks and making it harder for manufacturers to hire and retain skilled workers.
Solution: Robotic Grinding with 6-Axis Force Torque Sensor
To overcome these challenges, manufacturers are increasingly turning to automated robotic grinding systems. When paired with Hypersen’s HPS-FT Series 6-Axis Force Torque Sensors, these systems offer the precision and responsiveness required for demanding automotive applications.
The sensor enables:
Real-time force and torque control on all six axes (X, Y, Z + torque)
High-precision grinding of complex geometries and tight spaces
Stable and consistent performance across long production runs
Why us
Proven Reliability: Over 20 million full-load test cycles confirm the sensor’s durability and stability under harsh industrial conditions.
Enhanced Quality: Improves consistency in force application, leading to fewer defects and less rework.
Increased Productivity: Reduces reliance on manual labor, shortens cycle times, and lowers production costs.
Supports Smart Manufacturing: Enables seamless integration into intelligent robotic systems.
