Abstract:
Traditional bench vises require manual force to clamp work pieces, which
often results in excessive tightening, inaccuracies in force application, and
several safety limitations. One of the key safety concerns involves the lack of
controlled force application, which can lead to unintended injuries or damage
to the work piece due to unpredictable tightening. These challenges
necessitate an improved design, leading to the development of a smart bench
vise that incorporates stepper motors, load cells, and a user-friendly interface
to prevent over-tightening while enhancing precision and safety. The
technology driving this smart bench vise is based on Arduino programming,
specifically utilizing the Arduino Uno due to its flexibility in managing
multiple sensors and its ease of integration with other electronic components.
The device automates the clamping and unclamping processes, enabling
consistent and precise force application at the touch of a button. When the
user inputs the desired clamping force (this force can be found through
experiments or theoretical calculation) via the interface buttons, the motor
initiates the clamping process, rotating the lead screw to close the moving
jaw. This rotation is converted into linear motion, gradually increasing the
clamping force on the work piece. Once the predetermined force is reached,
the motor automatically halts, ensuring that the clamping force is applied
accurately without exceeding the set limits, thereby preventing overtightening
and minimizing the risk of damage. Various materials, including
plastic, aluminum, and steel, were used in the experimental phase to assess
the required clamping force for different material thicknesses (10mm, 30mm,
50mm, and 60mm). The experimental results indicated that the smart bench
vise significantly reduced clamping time compared to traditional vises while
maintaining high precision and safety. While the current design effectively
prevents over-tightening, future research could focus on expanding its force
range, incorporating automated material detection, enhancing the user
interface with touch screens, and adding wireless connectivity for remote
operation.