26 research outputs found

    Numerical and experimental analysis of CFRP machining process in orthogonal cutting

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    Les matĂ©riaux composites, y compris le PRFC (polymĂšre renforcĂ© de fibre de carbone), sont de plus en plus utilisĂ©s en aĂ©ronautique et dans l'automobile, ce qui soulĂšve actuellement de nombreuses complications dans les processus d'usinage. Comme ces matĂ©riaux sont fabriquĂ©s en plusieurs phases, ils sont responsables d'une mauvaise qualitĂ© d'usinage et de dĂ©fauts indĂ©sirables. Cette thĂšse vise Ă  mieux comprendre la technique physique fondamentale impliquĂ©e dans le mĂ©canisme de formation de copeaux dans le dĂ©coupage orthogonal d'usinage en PRFC par des Ă©tudes numĂ©riques et expĂ©rimentales combinĂ©es. Ensuite, l'analyse se concentre sur la maniĂšre dont certains paramĂštres de coupe, par exemple, la profondeur de coupe, affectent les efforts de coupe, la qualitĂ© de surface, les dĂ©laminations entre couches, la gĂ©nĂ©ration de fissures internes et la forme et la taille de copeaux gĂ©nĂ©rĂ©es. De plus, une observation expĂ©rimentale a Ă©tĂ© faite pour dĂ©terminer la profondeur de coupe minimale en dessous de laquelle le matĂ©riau ne peut pas ĂȘtre coupĂ© en douceur sur toute la surface. Ce travail de recherche a Ă©tĂ© complĂ©tĂ© par une Ă©tude prĂ©liminaire sur le mĂ©canisme d'usure des outils de coupe.The composite materials, including CFRP (Carbon Fiber Reinforced Polymer), are increasingly used in aeronautics and automotives which is currently raising many complications in the machining processes. As those materials are made with multiple phases, they are accountable for poor machining quality and undesired defects. This thesis seeks to better understand the fundamental physical technique involved in chip formation mechanism in orthogonal cutting of CFRP machining by combined numerical and experimental studies. Then, the analysis focuses to how certain cutting parameters, e.g., cutting depth, affect to the cutting efforts, surface quality, interply delaminations, inner crack generation and to generated chip shape and size. Moreover, an experimental observation has been made to find out the minimum cuttable depth below which the material does not get cut smoothly over the whole surface. This research work has been finished by a preliminary study on cutting tool wear mechanism

    Memoryscapes of the homeland by two generations of British Bangladeshis

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    When migrants become hosts and nonmigrants become mobile: Bangladeshis visiting their friends and relatives in London

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    Most studies of migrants visiting their friends and relatives (VFR) are on homeland visits. In this article, we reverse the transnational optic and study nonmigrants from the country of origin visiting their migrated friends and relatives abroad. We draw on participant observation and 57 interviews with migrant hosts and nonmigrant visitors carried out in London and in the Sylhet region of Bangladesh. Visits from the homeland to the diaspora are found to be deeply meaningful for the maintenance of transnational familyhood, especially at critical moments such as weddings, childbirth, and end of life. They are performative acts of belonging with unwritten rules of mutual obligations and choreographed itineraries to the houses of relatives and friends and to tourist sites. They also represent inequalities in economic status and social mobility between the migrants and their left‐behind relatives and friends in Bangladesh. Most visits are enjoyable for all concerned, but subtle tensions can arise, for instance, in the hosts' difficulty in managing their ongoing working lives with duties of hospitality and acting as guides and in visitors' intense schedule of duty visits to many relatives and lack of agency in stepping out of the Bangladeshi community in London. Furthermore, in an increasingly hostile environment for getting visas to visit the United Kingdom, an unequal and inhumane situation arises of blocked mobility

    Effect of different cutting depths to the cutting forces and machining quality of CFRP parts in orthogonal cutting ─ a numerical and experimental comparison

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    The necessity of understanding the influence of cutting variables in orthogonal cutting of Carbon Fiber Reinforced Polymer (CFRP) is vital because of their significant influences to the quality of manufactured parts. In this present research work the influences of different cutting depths to the cutting and thrust forces have been analyzed and a comparison between an equivalent homogeneous material (EHM) macro-model and experimental results have been made. The reasons of the beginning high cutting and thrust forces have been studied and explained. The post analysis of the experimental machined surfaces has been done to analyze the generated surface roughness and fiber-matrix interface crack generation. Five different cutting depths and four individual fiber orientations have been tested both numerically and experimentally. Significant influence of cutting depths to the cutting force has been found and the surface quality of newly generated machined part is discovered as a function of cutting depth and fiber orientation

    Recommending research articles: A multi-level chronological learning-based approach using unsupervised keyphrase extraction and lexical similarity calculation

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    A research article recommendation approach aims to recommend appropriate research articles to analogous researchers to help them better grasp a new topic in a particular research area. Due to the accessibility of research articles on the web, it is tedious to recommend a relevant article to a researcher who strives to understand a particular article. Most of the existing approaches for recommending research articles are metadata-based, citation-based, bibliographic coupling-based, content-based, and collaborative filtering-based. They require a large amount of data and do not recommend reference articles to the researcher who wants to understand a particular article going through the reference articles of that particular article. Therefore, an approach that can recommend reference articles for a given article is needed. In this paper, a new multi-level chronological learning-based approach is proposed for recommending research articles to understand the topics/concepts of an article in detail. The proposed method utilizes the TeKET keyphrase extraction technique, among other unsupervised techniques, which performs better in extracting keyphrases from the articles. Cosine and Jaccard similarity measures are employed to calculate the similarity between the parent article and its reference articles using the extracted keyphrases. The cosine similarity measure outperforms the Jaccard similarity measure for finding and recommending relevant articles to understand a particular article. The performance of the recommendation approach seems satisfactory, with an NDCG value of 0.87. The proposed approach can play an essential role alongside other existing approaches to recommend research articles. Autho
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