Anti-MET monoclonal antibody, clone 229738

Cold-rolling sludge (CRS), a typical solid waste, is mass produced during strip cleaning and rolling. Given its low Fe concentration, CRS cannot be directly recycled as iron pellet for steel making, and it is commonly solidified before safety landfill. Herein, CRS was purified as commercial iron concentrate powder via a coupled alkaline hydrothermal and calcination route. The sludge contained 45.6 wt% Fe, and its major impurities included 6.2 wt% Al, 13.5 wt% carbon and 9.7 wt% halite. After the hydrothermal treatment, the contents of Al and carbon in the treated sludge decreased to 0.16 and 12.1 wt%, respectively, and halite was almost completely removed. Subsequently, the Fe content in the treated sludge increased to 60.6 wt%, which was higher than that obtained with conventional methods, e.g. direct washing (51.4 wt% Fe), alkaline washing (52.7 wt% Fe), Fenton oxidation (52.4 wt%) and direct calcination (53.7 wt%). The treated sludge was further calcined at 800 degrees C. The calcined product showed unchanged amounts of Al, carbon content that dropped to 3.5 wt% and Fe that steadily rose to up to 66.1 wt%. These findings enabled the calcined product to be used as a high-grade iron concentrate powder. NaOH concentration, hydrothermal temperature and time were optimised to 8 M, 160 degrees C and 6 h at the laboratory scale, respectively. The solid-liquid ratio and recycling of supernatant were limited to 1 and 4 at the pilot scale, respectively. Under optimal conditions, the supernatant was reused four times, and the obtained product contained 62.7 wt% Fe, which meets the commercial standard of iron concentrate powder (>60 wt%). This coupled route was considerably effective for recycling CRS as iron concentrate powder and was successfully employed at the pilot scale. (C) 2020 Elsevier Ltd. All rights reserved.

The problem of the robust fault estimation and robust fault-tolerant control, for a class of nonlinear time-delayed Markov jump systems (MJSs) with both actuator and sensor faults, was studied. Firstly, by extending the system state, the actuator fault state vector, the sensor fault state vector and the original system state vector were extended to auxiliary state variables, and the original system was extended to a generalized system. Then, for the singular system, a generalized observer was designed to achieve the simultaneous estimation of its actuator faults, sensor faults and original system state. In addition, based on the observer estimation, a state feedback fault-tolerant controller was designed to make the closed-loop system stable and meet certain performance indicators. By solving linear matrix inequality, sufficient conditions for the existence of generalized observer and fault-tolerant controller were given. Finally, a numerical example and a practical example were given to demonstrate the effectiveness of the proposed approach.