ABSTRACT In the present study, to enhance removal of quinoline contaminants using natural active component, vanillin was loaded onto the MCM-41 (Mobile Component Material) nanoparticles in a simple way. The product was divided into two parts, which were improved by Copper(I) and Copper(II) salts. Promoted synthetic nanocatalysts (Cu(I)/Van./MCM-41, and Cu(II)/Van./MCM-41) were characterized using X-Ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), Energy-Dispersive X-Ray Spectroscopy (EDS), Mapping, Fourier-Transform Infrared Spectroscopy (FTIR), and BET/BJH (Brunauer-Emmett-Teller (BET) and Barret-Joyner-Halenda (BJH)) techniques. To reach optimal conditions, experimental design was performed using Response Surface Methodology (RSM). The experiments were done with the aid of nanocomposites, in presence of ultraviolet radiation without any auxiliary oxidants. Degradation percentages were measured by an Ultraviolet (UV) spectrophotometer. The products were identified using Gas Chromatography–Mass (GC-Mass) technique, and some mechanisms for quinoline removal were proposed. The results indicated that Cu (I) showed better performance in enhanced removal of quinoline than Cu(II).

Abstract In recent years, modal analysis has become one of the essential methods for modification and optimization of dynamic characteristics of engineering structures. This is the first published study to identify modal parameters of a complex four-stage centrifugal compressor using Operational Modal Analysis (OMA). Vibrational response was measured continuously with sampling frequency of 44100(Hz) by four noncontact eddy current sensors. Applied loads in actual working condition during compressor’s operation were considered as excitation forces. In this study, modal parameters were extracted and compared using various OMA methods, including Frequency Domain Decomposition (FDD), Enhanced Frequency Domain Decomposition (EFDD) and Stochastic Subspace Identification (SSI). PULSETM commercial software as well as an in-house MATLAB code employed to data analysis. The results show that SSI method has a higher accuracy compared to FDD and EFDD methods. However, FDD shows better results when system damping is low in one of the modes.

A simple, rapid and efficient microwave-assisted procedure for the formylation of aniline derivatives and alcohols, using a heterogeneous (HCOOH/SiO2) system under solvent-free conditions is reported. The method is applied to a set of amines, alcohols and thiols and short reaction times (<10 min) with high yields are reported. This protocol introduces a practical and viable green technology of solvent-free and catalyst-free reactions.