Effect of Measurement Frequency and Test Duration on the Inflation Pressure Loss Rate of Radial Medium Truck Tires

• Published in: Tire science & technology 2015-10, Vol.43 (4), p.325-337
• Main Authors: Martens, Jonathan E., Terrill, Edward R., Napier, R. Christopher, Waddell, Walter H.
• Format: Article
• Language: English
• ISSN: 0090-8657; 1945-5852
• DOI: 10.2346/tire.15.430404

The inflation pressure loss rate (IPLR) of a tire has been a standard test method for several decades and is used to determine the rate at which a tire will lose pressure. Following these procedures, the rate of pressure loss is obtained and expressed numerically as the percentage of loss per month. This is an investigation of two experimental variables: (1) the frequency at which the inflation pressure is measured on a daily basis, and (2) the duration of the entire test. The measurement frequency means how many data points are recorded during a 24-hour period. For example, one study may collect data as infrequently as once per day by manually reading a pressure gauge every 24 hours. Alternatively, another study may collect data electronically with pressure transducers capable of transmitting large numbers of data points over short preset periods, then numerically averaging those data into a single 24-hour daily measurement. After a 21-day period to equilibrate the newly inflated tire, the test duration can range from 90 to 180 days but is allowed to be shortened when using electronic-pressure monitoring. This is a study of data-collection frequency and duration in a newly commissioned tire IPLR laboratory at Akron Rubber Development Laboratory, Inc (ARDL). It was constructed to have excellent temperature control and was equipped with 24 pressure-sensitive transducers with data being directly transmitted into a dedicated computer where the ASTM F1112 equations were applied. The present study includes data measurements from 56 radial medium truck tires manufactured by different companies. Results were obtained by averaging data collected four times per hour over a test duration of 90 days but were then recalculated using 60, 45, or 30 days of data to establish the feasibility of using a shorter testing time.