Enhancement of process modelling and simulation evaluation by deploying a test for assessment and feedback individualisation

This paper demonstrates a novel approach for a computer-based course assessment. A test is introduced in which computers are deployed. This significantly contributes to the enhancement of the marking consistency, individual performance distinction and feedbacks, and widen the questions range for computer-based modules. The proposed test method, for the first time, uses the simulation files marking for individualised evaluation purposes. The methodology has successfully been implemented in practice for three modules including Process Simulation (CE2105), Advanced Process Simulation (CE4023), and Process Computation (CE3021) at Aston University (UK) over three academic years, from 2016 to 2019. The effectiveness of the proposed approach has been evaluated using several factors, including final marks, consistency multiple academic years, and mark distribution. In contrast to the common teamwork assessments, individualised feedback became possible. While ASPEN has been used for CE4023 and CE2105 tests, MATLAB has been applied as the computation platform for CE3021 module. This reveals the applicability of different software in proposed methodology. The number of students in the cohorts studied was from 52 to 204, demonstrating the applicability of the method for various cohort sizes. Even though the methodology has been demonstrated based on the chemical engineering discipline modules, it allows digitalising the delivery and assessment of a wide range of simulation techniques in many disciplines.     

Marti i Franques Medal address Development of EFC through international cooperation,transfer of knowledge,and education

Abstract

Under the auspices of the European Federation of Corrosion, the Spanish Society of Industrial Chemistry presents every 2 years the Marti i Franqués Medal to recognise an individual who has made an outstanding contribution to the advancement of the science and technology of corrosion through international cooperation within the EFC, transfer of knowledge, and education. The following address was given by A. D. Mercer when he was awarded the medal at Eurocorr '98, held in Utrecht, The Netherlands on 28 September-1 October.     

Role of Composite Phase Change Material on the Thermal Performance of a Latent Heat Storage System: Experimental Investigation

复合相变材料对潜热储能系统中热性能作用的实验研究

Jasim Abdulateef¹, Ahmed F. Hasan^2*,Mustafa S. Mahdi²

（1. 迪亚拉大学 机械工程系,巴古拜 32001,伊拉克;2.迪亚拉大学 化学工程系,巴古拜 32001,伊拉克）

摘要：

石蜡是可用于潜热储能系统单元（LHSU）的理想的相变材料（PCM）。这种潜热储能单元的使用因相变材料导热性差而受到限制。本文采用铝和相变材料制成的金属泡沫生产复合相变材料,以此作为相变材料-潜热储能单元中的导热材料,并使用水作为传热流体（HTF）。通过实验,评估了使用纯相变材料和复合相变材料的潜热储能单元的传热特性。研究包括熔化和凝固过程中相变材料的时变可视化。此外,热存储室内放置一个热电偶网络,记录每个过程的温度分布。结果表明,复合相变材料-潜热储能单元在熔化和凝固过程中均表现出较好的性能。由于金属泡沫的作用,复合相变材料-潜热储能单元的熔化时间比简单的相变材料-潜热储能单元快83%左右,凝固时间减少85%左右。

关键词：相变材料;金属泡沫;潜热;复合相变材料

     

Electron transport in dye-sanitized solar cell with tin-doped titanium dioxide as photoanode materials

Journal of Materials Science: Materials in Electronics - Pure and tin-incorporated TiO2 (Sn-TiO2) nanoparticles were prepared utilizing photolysis method. Field emission-scanning electron...     

Optimal Sparse Autoencoder Based Sleep Stage Classification Using Biomedical Signals

The recently developed machine learning (ML) models have the ability to obtain high detection rate using biomedical signals. Therefore, this article develops an Optimal Sparse Autoencoder based Sleep Stage Classification Model on Electroencephalography (EEG) Biomedical Signals, named OSAE-SSCEEG technique. The major intention of the OSAE-SSCEEG technique is to find the sleep stage disorders using the EEG biomedical signals. The OSAE-SSCEEG technique primarily undergoes preprocessing using min-max data normalization approach. Moreover, the classification of sleep stages takes place using the Sparse Autoencoder with Smoothed Regularization (SAE-SR) with softmax (SM) approach. Finally, the parameter optimization of the SAE-SR technique is carried out by the use of Coyote Optimization Algorithm (COA) and it leads to boosted classification efficiency. In order to ensure the enhanced performance of the OSAE-SSCEEG technique, a wide ranging simulation analysis is performed and the obtained results demonstrate the betterment of the OSAE-SSCEEG technique over the recent methods.     

Modernizing the chemical engineering curriculum via a student-centered framework that promotes technical,professional, and technology expertise skills: The case of unit operations

The development of a comprehensive set of skills, including technical, professional, and technology expertise, is critical to succeeding in the increasingly competitive global job marketplace. We proposed to develop such skills in our junior students (third year) via a flipped-classroom approach, a PO-PBL problem, and interactive e-learning tools. The intervention was implemented in the core course of Unit Operations and led to an increase in the students’ perception of the development of teamwork and people-related skills. Despite the benefits of promoting student learning, our intervention revealed that we still need to conduct work to approach more robust peer-to-peer interactions and connectedness. In this regard, students showed a marked tendency to have superficial discussions, which reflected their inability to develop superior emotional connections with peers. This is critical to promote complex thinking and ideation as well as continued engagement with the course contents and will be the focus of our future work.     

Modeling of corrosion reaction data in inhibited acid environment using regressions and artificial neural networks

This paper reports the results of mass loss measurements in the corrosion inhibition of mild steel in different concentrations of H₃PO₄ in the temperature range 30–60 °C using potassium iodide as an inhibitor. The present work is focused on determining the optimum mathematical equation and the ANN architecture in order to gain good prediction properties. Three mathematical equations and three ANN architectures are suggested. Computer aided program was used for developing these models. The results show that the polynomial mathematical equation and multi-layer perception are able to accurately predict the measured data with high correlation coefficients.     

Effect of temperature on the inhibition of the acid corrosion of steel by benzaldehyde thiosemicarbazone: Impedance measurements

An impedance study has been carried out of the corrosion of steel in sulphuric acid containing benzaldehyde thiosemicarbazone as an inhibitor, over the temperature range 25 – 60 °C. The impedance data indicate that the corrosion of steel is controlled by a charge transfer process at all the temperatures examined and in solutions containing various concentrations of the inhibitor. At a critical concentration of the inhibitor (5 × 10^-4 M) a high protection efficiency is maintained over the temperature range examined. This is thought to relate to a high surface coverage of a relatively compact adsorbed film, which resists desorption at elevated temperatures, unlike the behaviour evident at lower inhibitor concentrations.     

Dual function of benzotriazole as copper alloy corrosion inhibitor and hydrochloric acid flow improver

The corrosion of copper-nickel alloy in hydrochloric acid has been investigated at different temperatures, benzotrizole concentrations and corrosive solution velocities. Weight loss technique has been used to evaluate the corrosion rate data. Results obtained have proved that benzotrizole has a dual effect by reducing both metal corrosion and flow losses. Maximum inhibition efficiency was 91.5%, while maximum drag reduction was 52.4%. Several mathematical equations are suggested successfully to represent the data with high correlation coefficients. Molecular dynamic simulations have been also performed to investigate the adsorption behavior of the inhibitor on the copper alloy surface. One of the novelties of the given work is the analogy between the corrosion process and fluid flow, as well as the investigation of the dual effect of benzotriazole on the corrosion process and the flow losses.