Applied Science Private University

About: Applied Science Private University is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Catalysis. The organization has 4124 authors who have published 5299 publications receiving 116167 citations.

Part 5b: Solvent chemistry: reaction kinetics of CO2 absorption into reactive amine solutions

Abstract: Reaction kinetics is one of the most important parameters for the amine-based CO2 capture process because it indicates how fast CO2 reacts with amine, and it is one of the key parameters required for simulating and designing the absorption column. Reaction kinetics has been studied for several decades to aid the understanding of the reaction mechanism, obtaining the kinetics data and understanding the kinetics behavior. This article will comprehensively review these research activities from past to present and look at the future perspective of the study of CO2 absorption kinetics.

Convergence of Machine Learning and Robotics Communication in Collaborative Assembly: Mobility, Connectivity and Future Perspectives

Abstract: Collaborative assemblies of robots are promising the next generation of robot applications by ensuring that safe and reliable robots work collectively toward a common goal. To maintain this collaboration and harmony, effective wireless communication technologies are required in order to enable the robots share data and control signals amongst themselves. With the advent of Machine Learning (ML), recent advancements in intelligent techniques for the domain of robot communications have led to improved functionality in robot assemblies, ability to take informed and coordinated decisions, and an overall improvement in efficiency of the entire swarm. This survey is targeted towards a comprehensive study of the convergence of ML and communication for collaborative assemblies of robots operating in the space, on the ground and in underwater environments. We identify the pertinent issues that arise in the case of robot swarms like preventing collisions, keeping connectivity between robots, maintaining the communication quality, and ensuring collaboration between robots. ML techniques that have been applied for improving different criteria such as mobility, connectivity, Quality of Service (QoS) and efficient data collection for energy efficiency are then discussed from the viewpoint of their importance in the case of collaborative robot assemblies. Lastly, the paper also identifies open issues and avenues for future research.

Field-synchronized Digital Twin framework for production scheduling with uncertainty

Abstract: Research on scheduling problems is an evergreen challenge for industrial engineers. The growth of digital technologies opens the possibility to collect and analyze great amount of field data in real-time, representing a precious opportunity for an improved scheduling activity. Thus, scheduling under uncertain scenarios may benefit from the possibility to grasp the current operating conditions of the industrial equipment in real-time and take them into account when elaborating the best production schedules. To this end, the article proposes a proof-of-concept of a simheuristics framework for robust scheduling applied to a Flow Shop Scheduling Problem. The framework is composed of genetic algorithms for schedule optimization and discrete event simulation and is synchronized with the field through a Digital Twin (DT) that employs an Equipment Prognostics and Health Management (EPHM) module. The contribution of the EPHM module inside the DT-based framework is the real time computation of the failure probability of the equipment, with data-driven statistical models that take sensor data from the field as input. The viability of the framework is demonstrated in a flow shop application in a laboratory environment.

Physicochemical Behavior of Penaeuse semisulcatuse Chitin for Pb and Cd Removal from Aqueous Environment

Abstract: A beta type-chitin was produced from the shell of Penaeuse semisulcatuse shrimp for removal of lead and cadmium from the aqueous environment. Full physicochemical properties of the chitin (FTIR, SEM, mapping, XRD, EDX, AFM, and TGA-DTG) were obtained. Effects of solution pH, chitin dose, metals concentration, and contact time on the lead and cadmium adsorption were assessed. The solution pH had a great influence on the metal removal. Pseudo-first and pseudo-second order models were used to evaluate the kinetic behavior of metals adsorption by P. semisulcatuse chitin. Freundlich isotherm model was slightly better than the Langmuir model to describe the adsorption data. The RL value (obtained from the Langmuir model) for the adsorption of lead and cadmium was calculated to be 0.027 and 0.133, respectively, which showed the metals adsorption process by the chitin is desirable. The maximum adsorption capacity of lead and cadmium by P. semisulcatuse chitin was determined 13.14 mg/g and 19.15 mg/g, respectively. To desorb the adsorbed-metal from the chitin, the 1M HNO3 solution was applied and the heavy metals desorption was suitable (90%). The half life (t1/2) factor in the adsorption of Pb and Cd onto chitin was calculated 2.817 min and 3.876 min, respectively.