Nowadays it is known that the thermomechanical schedules applied during hot rolling of flat products provide the steel with improved mechanical properties.In this work an optimisation tool,OptiLam (OptiLam v.1),based ...Nowadays it is known that the thermomechanical schedules applied during hot rolling of flat products provide the steel with improved mechanical properties.In this work an optimisation tool,OptiLam (OptiLam v.1),based on a predictive software and capable of generating optimised rolling schedules to obtain the desired mechanical properties in the final product is described.OptiLam includes some well-known metallurgical models which predict microstructural evolution during hot rolling and the transformation austenite/ferrite during the cooling.Furthermore,an optimisation algorithm,which is based on the gradient method,has been added,in order to design thermomechanical sequences when a specific final grain size is desired.OptiLam has been used to optimise rolling parameters,such as strain and temperature.Here,some of the results of the software validation performed by means of hot torsion tests are presented,showing also the functionality of the tool.Finally,the application of classical optimisation models,based on the gradient method,to hot rolling operations,is also discussed.展开更多
Decarbonisation of district heating and cooling(DHC)system in Helsinki metropolitan area requires investments in new energy technologies and approaches to replace fossil fuel fired district heating(DH)production.Inves...Decarbonisation of district heating and cooling(DHC)system in Helsinki metropolitan area requires investments in new energy technologies and approaches to replace fossil fuel fired district heating(DH)production.Invest-ment paths involving(a)DH heat pumps(HPs)from low quality heat sources and(b)small modular nuclear reactors(SMR)are compared by utilising investment analysis based on optimisation model depicting the as-sumed 2030 situation.Several scenarios,with varying assumptions concerning existing DHC system,investment costs and electricity prices,are analysed in terms of new capacity and total annualised costs.The results indicate that the SMR option is more cost-efficient than the HP option with 4-8€/MWh difference in operation costs including annualised investments.Biomass fired boiler investments,enabled in both options,are preferred to HP investments in most scenarios.The cost-efficiency of HP investments is sensitive to investment cost,whereas SMR investments are relatively stable to investment cost variations.Varying electricity market prices affect cost-efficiency of large-scale HPs,and investments in SMR cogeneration units take place only with high electricity prices.展开更多
A Kalman filter which estimates unsteady laminar flow in a pipe is implemented on a real-time computing system. The plant model is the optimised finite element model of pipeline dynamics considering unsteady laminar f...A Kalman filter which estimates unsteady laminar flow in a pipe is implemented on a real-time computing system. The plant model is the optimised finite element model of pipeline dynamics considering unsteady laminar friction. A steady-state Kalman filter is built based on the model of pipeline dynamics. Pressure signals at both ends of a target section of a pipe are input to the model of pipeline dynamics, and as an output of the model an estimated pressure signal at a mid-point of the pipe is obtained. Difference between measured and estimated pressure signals at the mid-point is fed back to the model of pipeline dynamics to modify state variables of the model. According to the Kalman filter principle, the state variables of the model are adjusted so that they converge to real values. It is demonstrated that real-time implementation of the Kalman filter is possible with the sampling time of 0.1 ms.展开更多
基金supported by the project "Quality improvement by metallurgical optimised stock temperature evolution in the reheating furnace including microstructure feedback from the rolling mill" (OPTHEAT RFSR-CT-2006-00007) of the Research Fund for Coal and Steel (RFCS) from the European Union
文摘Nowadays it is known that the thermomechanical schedules applied during hot rolling of flat products provide the steel with improved mechanical properties.In this work an optimisation tool,OptiLam (OptiLam v.1),based on a predictive software and capable of generating optimised rolling schedules to obtain the desired mechanical properties in the final product is described.OptiLam includes some well-known metallurgical models which predict microstructural evolution during hot rolling and the transformation austenite/ferrite during the cooling.Furthermore,an optimisation algorithm,which is based on the gradient method,has been added,in order to design thermomechanical sequences when a specific final grain size is desired.OptiLam has been used to optimise rolling parameters,such as strain and temperature.Here,some of the results of the software validation performed by means of hot torsion tests are presented,showing also the functionality of the tool.Finally,the application of classical optimisation models,based on the gradient method,to hot rolling operations,is also discussed.
基金The authors of this paper gratefully acknowledge the public fi-nancing of Business Finland for the“EcoSMR”project(Grant No.:9277/31/2019).
文摘Decarbonisation of district heating and cooling(DHC)system in Helsinki metropolitan area requires investments in new energy technologies and approaches to replace fossil fuel fired district heating(DH)production.Invest-ment paths involving(a)DH heat pumps(HPs)from low quality heat sources and(b)small modular nuclear reactors(SMR)are compared by utilising investment analysis based on optimisation model depicting the as-sumed 2030 situation.Several scenarios,with varying assumptions concerning existing DHC system,investment costs and electricity prices,are analysed in terms of new capacity and total annualised costs.The results indicate that the SMR option is more cost-efficient than the HP option with 4-8€/MWh difference in operation costs including annualised investments.Biomass fired boiler investments,enabled in both options,are preferred to HP investments in most scenarios.The cost-efficiency of HP investments is sensitive to investment cost,whereas SMR investments are relatively stable to investment cost variations.Varying electricity market prices affect cost-efficiency of large-scale HPs,and investments in SMR cogeneration units take place only with high electricity prices.
文摘A Kalman filter which estimates unsteady laminar flow in a pipe is implemented on a real-time computing system. The plant model is the optimised finite element model of pipeline dynamics considering unsteady laminar friction. A steady-state Kalman filter is built based on the model of pipeline dynamics. Pressure signals at both ends of a target section of a pipe are input to the model of pipeline dynamics, and as an output of the model an estimated pressure signal at a mid-point of the pipe is obtained. Difference between measured and estimated pressure signals at the mid-point is fed back to the model of pipeline dynamics to modify state variables of the model. According to the Kalman filter principle, the state variables of the model are adjusted so that they converge to real values. It is demonstrated that real-time implementation of the Kalman filter is possible with the sampling time of 0.1 ms.
