Experimental push and pull force data utilizing self-developed automatic liquid dispensers

Area of Science:

• Robotics and Automation
• Mechanical Engineering
• Materials Science

Background:

• Accurate mechanical property data is vital for designing effective automated liquid dispensers.
• Self-developed automated liquid dispenser used for data acquisition.
• Existing designs may lack comprehensive push and pull force data.

Purpose of the Study:

• To present a comprehensive dataset of push and pull forces for an automated liquid dispenser.
• To provide reliable data for researchers and developers in the field.
• To facilitate improved design and energy consumption calculations for automated dispensers.

Main Methods:

• Data collected using a load cell sensor integrated into a self-developed automated liquid dispenser.
• Nineteen push and pull data points acquired per test.
• Data transmitted and stored on cloud servers via internet networks.

Main Results:

• Dataset includes variations in fluid type (water, soap, hand sanitizer), volume (50, 150, 250 ml), and servo motor angle (30° to 180°).
• Total of 60 treatments derived from 1857 tests, including tests with an empty dispenser.
• Raw data files provided in Excel format for accessibility.

Conclusions:

• The dataset offers valuable insights for the reliable development of automated liquid dispensers.
• Analysis of this data can help prevent over- or under-designing dispenser mechanisms.
• Enables more accurate determination of energy consumption for automated liquid dispensing systems.