Shanghai University

About: Shanghai University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Microstructure & Graphene. The organization has 59583 authors who have published 56840 publications receiving 753549 citations. The organization is also known as: Shànghǎi Dàxué.

Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

Abstract: Distributed permutation flowshop scheduling problem (DPFSP) has become a very active research area in recent years. However, minimizing total flowtime in DPFSP, a very relevant and meaningful objective for today's dynamic manufacturing environment, has not captured much attention so far. In this paper, we address the DPFSP with total flowtime criterion. To suit the needs of different CPU time demands and solution quality, we present three constructive heuristics and four metaheuristics. The constructive heuristics are based on the well-known LR and NEH heuristics. The metaheuristics are based on the high-performing frameworks of discrete artificial bee colony, scatter search, iterated local search, and iterated greedy, which have been applied with great success to closely related scheduling problems. We explore the problem-specific knowledge and accelerations to evaluate neighboring solutions for the considered problem. We introduce advanced and effective technologies like a referenced local search, a strategy to escape from local optima, and an enhanced intensive search method for the presented metaheuristics. A comprehensive computational campaign against the closely related and well performing algorithms in the literature is carried out. The results show that both the presented constructive heuristics and metaheuristics are very effective for solving the DPFSP with total flowtime criterion.

High aspect ratio In2O3 nanowires: Synthesis, mechanism and NO2 gas-sensing properties

Abstract: Flexural In 2 O 3 nanowires with high aspect ratios were synthesized via a hydrothermal–annealing route. The as-synthesized In 2 O 3 nanowires had diameters of 30–50 nm and length up to several microns. Various reaction parameters, such as the kind of reagents, the time of hydrothermal treatment, annealing time and annealing temperature, were investigated by a series of control experiments. The as-synthesized In 2 O 3 nanowires showed excellent gas-sensing properties to NO 2 in terms of sensor response and selectivity.

Adsorption behavior of copper ions on graphene oxide–chitosan aerogel

Abstract: Graphene oxide (GO)–chitosan (CS) composite was lyophilized to prepare GO–CS aerogel for Cu2+ removal, then the separation of adsorbents after adsorption was easily achieved by filtration or low speed centrifugation. GO–CS was a good adsorbent of Cu2+ with a large adsorption capacity of 2.54 × 101 mg/g according to the Langmuir model. The adsorption kinetics was well described by the pseudo-second-order model with a k2 of 4.14 × 10−3 min−1. The intraparticle diffusion model was adopted to reveal the diffusion mechanism. Higher pH, lower ionic strength and higher temperature benefited the adsorption. The thermodynamics parameters at 303 K were calculated as ΔG of −3.89 kJ/mol, ΔH of 3.46 kJ/mol and ΔS of 2.42 × 101 J/mol/K. The adsorption identity was physisorption and apparently driven by the increase of randomness. The implications to the application of graphene adsorbents in the decontamination of heavy metals are discussed.