Notwendigkeit und Vermarktung von Flexibilitätsoptionen im Energiesystem der Zukunft

Demands on production, distribution and consumption of electrical energy change fundamentally with the energy revolution. Energy purchasing costs for inflexible consumers are rising and proceeds of inflexible producers are sinking. Companies are able to reduce costs by marketing operational flexibility options. This article sets out the need of flexibility in the energy system and the new marketing options. Flexibility potentials within infrastructure plants of a chemical park are analyzed, evaluated regarding marketing and activated in the presented research project FlexChemistry.     

Temperature influence on the development of interdiffusion phenomena in MCrAlY-coated nickel-based superalloys

In this work, the interdiffusion between a MCrAlY-bond coat and two different nickel-based superalloys is evaluated at three temperatures, 950 °C, 980 °C, and 1,050 °C. Of primary interest is the evolution of Kirkendall-porosity, the β-depleted zone in the bond coat and the β’- depleted zone in the superalloy. The three phenomena arise near the interface between bond coat and superalloy as a result of interdiffusion between both materials and are detrimental to the coating-substrate system. The evolution of the interdiffusion phenomena is highly dependent on the alloy composition of the materials as well as the annealing temperature. It has been found that not only the temperature dependency of the diffusion coefficient but also the temperature dependent element activities are an important factor when evaluating the interdiffusion phenomena. It has further been shown that at lower temperatures the amount of Kirkendall-porosity per volume fraction is higher than at higher temperatures, even though the overall amount of porosity is lower. Different equilibrium concentrations of main alloying elements and a correspondingly lower over-saturation of vacancies have been identified as the main explanation.     

红河流域径流演变分异及其特征

红河流域径流演变分异研究对于揭示流域径流的形成、演变规律及跨境水管理具有重要意义。选取红河流域9个代表站点,利用累积距平法、滑动t检验和Mann-Kendall-Sneyers法研究了红河流域的径流演变分异。结果表明,径流演变空间差异显著,各控制断面波动不一致;流域各站点(除大东勇站)均出现径流突变,但突变时间不一致,且越往下游,突变时间越晚;此外,各站点丰枯转化时段不一致。     

12000t/d水泥熟料生产线三次风管的优化改造*

水泥熟料生产过程中三次风管对分解炉和回转窑等热工设备的稳定运行起着重要作用。三次风管的用风和通风合理性,直接影响分解炉内煤粉的燃烧、碳酸盐在分解炉内的分解,间接影响回转窑内通风量和熟料在窑内的烧结。本文通过热工标定分析W工厂12000t/d水泥熟料生产线三次风管存在的问题,通过数据计算和对比分析,提出三次风管优化改造方案。     

A Student's t-based density peaks clustering with superpixel segmentation (tDPCSS) method for image color clustering

Image color clustering is a basic technique in image processing and computer vision, which is often applied in image segmentation, color transfer, contrast enhancement, object detection, skin color capture, and so forth. Various clustering algorithms have been employed for image color clustering in recent years. However, most of the algorithms require a large amount of memory or a predetermined number of clusters. In addition, some of the existing algorithms are sensitive to the parameter configurations. In order to tackle the above problems, we propose an image color clustering method named Student's t-based density peaks clustering with superpixel segmentation (tDPCSS), which can automatically obtain clustering results, without requiring a large amount of memory, and is not dependent on the parameters of the algorithm or the number of clusters. In tDPCSS, superpixels are obtained based on automatic and constrained simple non-iterative clustering, to automatically decrease the image data volume. A Student's t kernel function and a cluster center selection method are adopted to eliminate the dependence of the density peak clustering on parameters and the number of clusters, respectively. The experiments undertaken in this study confirmed that the proposed approach outperforms k-means, fuzzy c-means, mean-shift clustering, and density peak clustering with superpixel segmentation in the accuracy of the cluster centers and the validity of the clustering results.     

天津钢铁炼钢厂倒罐站600t无基坑不断轨钢轨塞入式轨道称重装置的实践

本文简单介绍了由我们公司制造的安装于天钢倒罐站的600t无基坑不断轨钢轨塞入式轨道称重装置,着重介绍了对该称重装置的隔热防护措施以及停车对位联锁。     

Influence of expertise on semantic categorization of wine odors

Aromatic characterization is a key element of enhancing one’s knowledge of wine. While several studies have investigated the importance of wine expertise in the ability to perform odor-related sensory tasks, little attention has been paid to the influence of expertise on the semantic categorization of wine odors. To bridge this gap, this study aimed to explore the influence of a subject’s expertise on the semantic representation of wine odors by means of a free sorting task. For this purpose, 156 subjects were recruited. Their level of expertise was measured using a questionnaire and the data analysis revealed four clusters of subjects with a gradual level of expertise. Subjects also performed a sorting task on 96 odor terms. From the number and the size of odor groups formed, as well as the additive tree representation and the consensus partition between the terms for each expertise level, we observed that all subjects, regardless of their experience, had largely the same semantic categorization of wine-odor attributes, which was mainly shaped by the sources of the odorants. It appeared that level of wine expertise played a minor role in creating the semantic representation of wine odors, affecting mainly the knowledge of specialized terms.     

Der Schnellstart in die digitale Lehre unter Corona-Randbedingungen

The corona lockdown and campus closure of the TU Dortmund University led to a fully digital summer semester 2020 of the Faculty of Biochemical and Chemical Engineering. Completely digital? No! This article gives examples of different digital courses. From the perspective of the Dean of Studies, experiences and personal reflections on this unusual semester until July 2020 are presented. After a short introduction, measures for digital teaching with the gradual partial opening are described. Especially the exchange of experiences together with the students' feedback brought interesting results and experiences with digital tools. The lessons learned are outlined together with recommendations for different digital tools and an outlook on upcoming semesters.     

Textural pattern classification for oral squamous cell carcinoma

Despite being an area of cancer with highest worldwide incidence, oral cancer yet remains to be widely researched. Studies on computer‐aided analysis of pathological slides of oral cancer contribute a lot to the diagnosis and treatment of the disease. Some researches in this direction have been carried out on oral submucous fibrosis. In this work an approach for analysing abnormality based on textural features present in squamous cell carcinoma histological slides have been considered. Histogram and grey‐level co‐occurrence matrix approaches for extraction of textural features from biopsy images with normal and malignant cells are used here. Further, we have used linear support vector machine classifier for automated diagnosis of the oral cancer, which gives 100% accuracy.