Automated Fastening for Robotic Screw Fastening Cell for Notebook Keyboards

We designed a notebook keyboard assembly process that needed inline robotic screw fastening for 14-inch and 16-inch products. Each keyboard required 42 M1.2 x 1.5 screws with a torque range of 0.1 to 2.0 +/- 0.05 kgf.cm. That makes the scope an automated fastening application for screw fastening.

The line target was 120 UPH, a cycle time within 26 seconds, 99.8% fastening yield and 0.2 mm floating-height control according to screw length.

The customer needed to fasten 42 M1.2 screws per notebook keyboard while keeping an inline equipment layout and maintaining product compatibility across 14-inch and 16-inch variants.

The process also needed torque control, screw-by-screw result traceability and enough cycle-time margin to stay within the 26-second CT target.

• Planned five inline fastening cells, with each cell responsible for 9 screws. we estimate 6 seconds for transfer, 1.5 seconds for imaging and 18 seconds for fastening, for a total of 25.5 seconds.
• Designed the fastening sequence around product arrival detection, cover pressing, two vision capture positions, screw pickup and screw fastening before releasing the product to the next station.
• Integrated a screw feeding system, transfer mechanism, product fixture and press-cover mechanism around the robotic fastening station.
• Used an intelligent electric screwdriver module with vision positioning, displacement sensing, vacuum pickup, +/- 5% torque accuracy and torque-curve recording.
• Included production monitoring software to display tightening results, analyze NG data and show torque, turns and fastening status for each screw.

For a fuller walkthrough of how we planned the inline station split, cycle-time balance and fastening traceability logic, see our notebook keyboard screw-fastening design article.

The proposed cell replaces repetitive manual screw fastening with a controlled robotic process while keeping the line inline and digitally traceable.

The solution is designed to improve productivity, reduce operator load and give production teams adjustable fastening parameters, screw-level process data and clearer quality consistency across notebook keyboard assembly.