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Session:

10C - Mass 

Date & Time:

Thursday August 10, 10:45 AM - 12:15 PM

Paper Title:

Optimization of Performance Parameters for High Precision Automated Mass Comparators 

 

 

Speaker:

Shih Mean Lee, Manager & Senior Metrologist  

CoAuthors:

Shih Mean Lee, Lee Kwee LIM 

Speaker Info

Company:

SPRING Singapore

Department:

National Metrology Centre

Address:

1 Science Park Drive , PSB Corporation Building
Singapore, 118221, Singapore

Phone:

65-62791960

Fax:

65-62791993

Email:

lee_shih_mean@spring.gov.sg 

 

 

Abstract:

Modern day high precision mass comparators are high-tech measuring instruments that are capable of automated operations. The convenience of automation however introduces a number of "time based" influencing parameters that affects the performance of the mass comparators to obtain accurate and repeatable readings. This paper attempts to highlight a recent study carried out on the "time based" performance parameters of the a5 and a100 Mettler-Toledo high-tech automated weighing comparators housed in SPRING Singapore. The parameters under investigation are namely the integrating time, stabilisation time of the comparators, the number of pre-weighing, and the number of actual weighing where the calibration results are obtained. The length of the setting time for each parameter will affect the overall operating time required. As different combination of settings are possible, a set of tailor-made experiments have been designed to comprehensively and effectively investigate the effects these combinations has on the repeatability performance of the mass comparators. Typical experimental results have indicated that there are at least a 2 to 3 time's improvements in the comparators repeatability performance at certain parameter settings. An optimal range of settings can be identified and savings in overall operating time can be achieved by selecting the most appropriate combination for weighing operations. Identification of such a range maximises mass comparator efficiency and ensure optimal repeatability at the shortest possible weighing time.  

 

 

 

 

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