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Technological forum 2016
Department of Manufacturing Technology, Faculty of Mechanical Engineering,
Czech Technical University in Prague
Technická 4, 166 07 Praha 6
Reduction of energy loss in Al alloys transport
Aleš Herman, František Štourač, Irena Kubelková, Martin Kubelka 1) Jaroslav Doležal 2)
1) Department of Manufacturing Technology, Faculty of Mechanical Engineering, Czech Technical University in
Prague, Technická 4, 166 07 Praha 6,
2) METAL TRADE COMAX, a.s., Velvary
Abstract in English language: The paper deals with the melt Al alloy transportation of rotary oxy-
combustion melting furnace in holding furnaces via transport trays. Practically work examined a draft
slope gutter and verification functions trough. The paper describes the energy loss during the passing
of the metal to holding furnaces. The work also set the imager to work with liquid aluminium alloy.
Keywords in English language: metal transport, transport trough, measurements of temperature fields, infrared camera, thermo graphic video
1. Introduction
The re-melting of aluminum scrap is made in new melting line. The melting line is assembled from:
• gas rotary furnace for content up to 16 tons,
• trays for melt transport,
• holding furnaces.
The line is new and there is needed solving the problem of melt heat lost during transport to holding furnaces. The paper deals with the problematic of measurement of heat lost. The main goal of this paper is decreasing of heat lost transport melt metal and found optimal combination of trays material and insulating coating.
The possible hypothesis:
1. covering of trays
2. accelerating of melt flow
3. decreasing of melt friction in trays (coating, change of trays lining, pre-heating of
channel)
For the research of heat lost quantity was used next equipment:
• Infrared camera FLIR T640 with SW TOOLS+,
• Contact thermometer Ahlborn Therm 2420 with thermocouple FT 106 (fig. 1),
• stopwatch,
• immersion thermometer Diterm 97.
Technological forum 2016
Department of Manufacturing Technology, Faculty of Mechanical Engineering,
Czech Technical University in Prague
Technická 4, 166 07 Praha 6
2. The process simulation
The tray and pouring to tray was simulated in foundry simulation software NovaFlow&Solid. There
was simulated flowing of melt metal in tray. The position on thermocouple in simulation see fig. 2
and obtained thermal field during filling is on fig. 3
Figure 1 – Temperature measuring by contact thermometer in tray
Figure 2 – Set up of thermocouple in simulation
Figure 3 – Temperature field in trays during melt flowing in tray
Technological forum 2016
Department of Manufacturing Technology, Faculty of Mechanical Engineering,
Czech Technical University in Prague
Technická 4, 166 07 Praha 6
The distribution of temperature in thermocouple demonstrated fig. 4
Figure 4 – Course of temperature in thermocouples from simulation
3. Real experiment
The process of flowing of melt was analyzed in special software for infrared camera, where is
possible to analyze thermo-graphical video. On Fig. 5 is demonstrated the thermal field during
flowing of melt metal.
From this video was analyzed the course of temperature in elementary tray section (Li1 – 10 see Fig.
2). The course of thermal field is strongly dependent on emissivity. Emissivity of melt aluminum alloy
is difficulty ascertainable. The table of emissivity describe only heavily oxidized surface of aluminum
alloy by temperature 599°C (the value of emissivity is 0, 19). There is problem that the emissivity
depends on several factors:
• Temperature
• Distance from the object
• Surrounding temperature and moisture
• Reflected temperature
• Surface
• Humidity
The distribution on temperature field during flowing in trays is demonstrated on Fig. 6
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Technological forum 2016
Department of Manufacturing Technology, Faculty of Mechanical Engineering,
Czech Technical University in Prague
Technická 4, 166 07 Praha 6
Figure 5 – Temperature measuring by contact thermometer in tray
Figure 6 – Thermographic record of temperature course from section above
Technological forum 2016
Department of Manufacturing Technology, Faculty of Mechanical Engineering,
Czech Technical University in Prague
Technická 4, 166 07 Praha 6
The main problem is right set up of emissivity. Emissivity was calibrated by immersion thermometer
on value 0, 21 by reflected temperature 40°C, distance from camera was 14 meters and humidity was
61%.
Figure 7 – Measurement by immersion thermometer in melt
4. Describing of course records
Firstly was started pouring – the velocity of pouring was app. 0, 3 m.s-1 (really melt flow 10 m per 30
s). From figure 6 is possible see arisen temperature to app 900°C, after 5 minutes is pouring to tray
stopped and melt metal in furnace is mixed up by rotation. In furnace is hot ash and slag and
temperature of melt is increasing. There is possible see decreasing of temperature and cooling on
tray. After mix up operation continue pouring rest melt aluminum alloy – increasing of temperature
up to 1200°C and pouring of rest metal.
The main problem is the changing emissivity – this is made the non-discrete variable and is need to
use high mathematical software for analysis of melt metal.
After analyzing of results In MatLab where we phased after elementary steps described above is
possible obtain linear relation of course of temperature on tray see fig. 8
Technological forum 2016
Department of Manufacturing Technology, Faculty of Mechanical Engineering,
Czech Technical University in Prague
Technická 4, 166 07 Praha 6
Figure 8 – The course of smoothing curves Li1 and Li10 in MatLab
5. Conclusion
There was described problem of thermal lost. In the next phases is need made more analyzes for
definitive results.
Partly conclusions from first several analyzes is demonstrated that for decreasing of heat in tray is
possible to use insulated covering after finishing pouring and using of good insulation coating in tray
with lower friction properties – for quickly transport on the tray.
6. Anknowledgment
The research was financed by by SGS16/217/OHK2/3T/12 Udržitelný výzkum a vývoj v oboru strojírenských technologií and with Inovation voucher of Central Bohemian Region.
Bibliography
[1] HERMAN, Aleš; ČESAL, Marek. Temperature stability of the process of production of wax
patterns for investment casting technology model.MANUFACTURING TECH, 2012.
[2] BERNARD, Vladan, et al. Infrared camera assessment of skin surface temperature–Effect of
emissivity. Physica Medica, 2013, 29.6: 583-591.
[3] ZHANG, R.-H., et al. Study of emissivity scaling and relativity of homogeneity of surface
temperature. International Journal of Remote Sensing, 2004, 25.1: 245-259.
[4] IMRIE, David A. CALIBRATING THE THERMAL CAMERA-As thermal cameras gain ground in
the commercial market, testing becomes critical.Photonics Spectra, 2009, 22.12: 49.
[5] SKOUROLIAKOU, A. S., et al. Infrared Thermography Imaging: Evaluating surface emissivity and
skin thermal response to IR heating. e-Journal of Science & Technology (e-JST), 2014.
[6] RAMEGOWDA, Dinesh, et al. Thermal camera calibration. U.S. Patent Application No 12/883,568,
2010.
Reviewer: Fill the reviewer name (and the department) of your post title.
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