Optimal location of sensors for estimation of cast iron latent heat

• Autorzy: Majchrzak E. , Mendakiewicz J.
• Języki publikacji: EN

Abstrakty

EN

The thermal processes proceeding in a system casting-mould are considered. The casting is made from cast iron and the austenite and eutectic latent heats should be identified. To estimate these parameters the knowledge of temperature history at the points selected from the domain considered is necessary. The location of sensors should assure the best conditions of identification process. In the paper the method of optimum location of sensors basing on the D-optimality criterion is presented.

Słowa kluczowe

EN

latent heat; sensors location; inverse problem; cast iron

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Prace Naukowe Instytutu Matematyki i Informatyki Politechniki Częstochowskiej
• Rocznik: 2009
• Tom: Vol. 8, nr 1
• Strony: 123--130
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Majchrzak E.

autor

Mendakiewicz J.

• Silesian University of Technology, Gliwice, Poland

Bibliografia

• [1] Mochnacki B., Suchy J.S., Numerical methods in computations of foundry processes, PFTA, Cracow 1995.
• [2] Majchrzak E., Mendakiewicz J., Identification of cast iron substitute thermal capacity, Archives of Foundry 2006, 6, 22, 310-315.
• [3] Patan M., Uciński D., Optimal location of sensors for parameter estimation of static distributed systems, R.Wyrzykowski et al. (eds.), PPAM 2001, LNCS 2328, 2002, 729-737.
• [4] Dowding K.J., Blackwell B.F., Design experiments to estimate temperature dependent thermal properties, Inverse Problems in Engineering: Theory and Practice 1999, ASME 509-518.
• [5] Majchrzak E., Mochnacki B., Identification of thermal properties of the system casting - mould, Mat. Science Forum 2007, 539-543, 2491-2496.
• [6] Mochnacki B., Majchrzak E., Szopa R., Suchy J.S., Inverse problems in the thermal theory of foundry, Scientific Research of the Institute of Mathematics and Computer Science 2006, 1(5), 154-179.
• [7] Kleiber M., Parameter sensitivity, J.Wiley & Sons Ltd., Chichester 1997.
• [8] Mendakiewicz J., Application of sensitivity analysis in experiments design, Scientific Research of the Institute of Mathematics and Computer Science, Czestochowa University of Technology 2008, 1(7), 141-148.