2,291 research outputs found

    Thermoelectrical regulation of microinjection moulds

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    Microinjection is one of the major replication techniques for producing low cost micro parts. The small scale of the microinjection processes presents different challenges from those usually encountered in conventional injection moulding. One particular aspect, very important for part quality, is mould temperature control. In conventional injection moulding, the temperature control system is set to a fixed value during the injection cycle. In microinjection moulding such behaviour is not acceptable, which as lead to the development of “active” control temperature of the mould named “variotherm” systems. In the present paper a study will be presented for the implementation of thermo electric elements in dynamic temperature control of microinjection moulds and its impact on the process cycle time and part quality

    Anti-money laundering in the United Kingdom: new directions for a more effective regime

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    Purpose: This paper aims to provide a more nuanced understanding of the effectiveness of the anti-money laundering (AML) regime in the UK and explore opportunities to improve policy and performance. Design/methodology/approach: Qualitative research design using semi-structured interviews and a focus group with practitioners from both public and private sectors. Findings: This paper identifies preventive measures are underfunded by the public sector; there is a disconnect between the regulatory requirement and the regulators’ supervisory approach leading to the ineffective application of the risk-based approach; and authorities have limited ability to stop low-utility reports. Increased collaboration across institutions and sectors, better utilisation of innovative technologies and a sustainable funding plan are needed to drive a collective response to money laundering. Research limitations/implications: Few practitioners in the industry have the knowledge and expertise to discuss the topic at a strategic level and participants were limited (n = 8). Practical implications: This paper adds to the growing corpus of research showing that the AML regime in the UK is ineffective and needs reform. Social implications: This paper encourages practitioners to improve the AML regime, this research contributes to the reform of the existing measures against financial crime. Originality/value: This paper presents new data from AML practitioners to provide a better understanding of the limitations of the AML regime in the UK

    Yield, impact and fracture performance of injected metallic looking polypropylene parts

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    Innovation, cost and weight reduction are some factors for the replacement of metals by plastics. Plastics continue to offer attractive solutions for design engineers. The metallic effect obtained by incorporation of metal particles in polymers by injection moulding has the advantage of eliminating postprocessing techniques reducing production cost and time. Nevertheless, undesired defects in the final appearance of parts are common. These defects occur due to inhomogeneous orientation and anisotropy of the metal particles. Very few studies are reporting the influence of metallic particles on the morphology development of PP parts. Therefore, this study is focused on the production of parts made of PP/metallic pigments (aluminium) by injection moulding in order to understand the influence of metallic particles on the aesthetic, morphological and mechanical properties of the parts

    Evolutionary 3D Image Segmentation of Curve Epithelial Tissues of Drosophila melanogaster

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    Analysing biological images coming from the microscope is challenging; not only is it complex to acquire the images, but also the three-dimensional shapes found on them. Thus, using automatic approaches that could learn and embrace that variance would be highly interesting for the field. Here, we use an evolutionary algorithm to obtain the 3D cell shape of curve epithelial tissues. Our approach is based on the application of a 3D segmentation algorithm called LimeSeg, which is a segmentation software that uses a particle-based active contour method. This program needs the fine-tuning of some hyperparameters that could present a long number of combinations, with the selection of the best parametrisation being highly time-consuming. Our evolutionary algorithm automatically selects the best possible parametrisation with which it can perform an accurate and non-supervised segmentation of 3D curved epithelial tissues. This way, we combine the segmentation potential of LimeSeg and optimise the parameters selection by adding automatisation. This methodology has been applied to three datasets of confocal images from Drosophila melanogaster, where a good convergence has been observed in the evaluation of the solutions. Our experimental results confirm the proper performing of the algorithm, whose segmented images have been compared to those manually obtained for the same tissues

    Simulación mediante ordenador de movimientos bidimensionales en medios resistentes

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    We have accomplished a simulation program of mechanics; it is developed in laboratory practice by students in their first years of physics studies ata University level. Its aim is a better understanding of the influence of the variable forces of friction in bidimensional movements. We have verified the effectiveness of this teaching method through the evaluation of the students' progress during the courses in which we have carried out this practice
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