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PRODID:Data::ICal 0.24
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TZID:Pacific/Auckland
X-LIC-LOCATION:Pacific/Auckland
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DTSTART:19700927T020000
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TZOFFSETFROM:+1200
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DTSTART:19700405T030000
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BEGIN:VEVENT
CATEGORIES:SMS Seminars
CONTACT:Prof Mark McGuinness
DESCRIPTION:A key uncertainty when delivering bauxite ore to an alumina fac
 tory is the moisture content in the shipment. A microwave analyser measure
 s phase shift and attenuation in real time\, of microwaves passing through
  the ore while it is being offloaded on a conveyor belt. This data is used
  to infer moisture content\, which affects the weight of the ore\, and dir
 ectly impacts the price paid per tonne. Our study is informed by data prov
 ided to a European Study Group with Industry that was collected from a num
 ber of shipments of bauxite ore in 2017.\n\nSimple linear models fail to e
 xplain the highly nonlinear dependence on bauxite depth that is seen in pl
 ots of analyser data. These simple linear models are presently used by the
  microwave analyser software to infer moisture content.\n\nMotivated by th
 is failure\, we use Maxwell's equations to develop a four-layer model that
  allows multiple reflections at interfaces between ore and air. Our model 
 goes some distance towards improving real-time measurement of ore moisture
  content using microwaves on a conveyor belt. The model should extend to a
 ny mixture of solid ore\, air and water on a conveyor belt. A continuing c
 hallenge is how to share in a useful way the four-layer model solutions wi
 th a company that makes the microwave analysers.
DTEND;TZID=Pacific/Auckland:20260514T120000
DTSTAMP:20260512T221651Z
DTSTART;TZID=Pacific/Auckland:20260514T110000
LOCATION:Cotton Club\, Cotton 350
ORGANIZER:Prof Mark McGuinness
SUMMARY:Prof Mark McGuinness - Measuring Ore Moisture using Microwaves\; wh
 ere data and differential equations collide.
UID:seminar_sms1030_20260429183134
URL:
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