Parameter analysis of copper-nickel-tungsten prepared via powder metallurgy process for electrical discharge machining of polycrystalline diamond

Polycrystalline Diamond (PCD) tools have an outstanding wear resistance. The electric conductivity of PCD caused by the conductive binding material (Cobalt) makes it possible to machine PCD tools with EDM. Electrode used in EDM of PCD must have better porosity, electrical and thermal conductivity. Therefore, this research presents the works in production of Cu-Ni-W electrode by powder metallurgy route. Production of powder metallurgy parts involve mixing of the powder with additives or lubricants, compacting the mixture and heating the green compacts in an Argon gas furnace so the particle bond to each other. Two levels of full factorial with six centre points and two replication technique was used to study the influence of main and interaction effects of the powder metallurgy parameter. There were four factors involved in this experiment. Factor A which is Type of Cu-Ni; Type A and Type B was defined as categorical factor. Factor B in which Composition of W; 5 Wt.%, 15 Wt. % and 25 Wt.%, was defined as numerical factor. Factor C which is the Compaction load; 7, 8 and 9 tonne and Factor D which is Sintering temperature; 635 ℃, 685 ℃ and 735 ℃ were also defined as numerical factor. Optical Microscope, Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray (EDX) was used to analysed the microstructure and surface morphology of Cu-Ni-W electrode. The best parameter combination to produced better porosity, electrical and thermal conductivity for both Type A and Type B was 5 Wt.% of W, compaction load at 9 tonne and sintering temperature at 735℃. The best response for Type A is 12.65% of porosity, 14.40 IACS% of electrical conductivity and 413.26 W/m.℃ of thermal conductivity. While that, the best response for Type B were 9.36% of porosity, 16.66 IACS% of electrical conductivity and 345.21W/m.℃ of thermal conductivity. From the calculation of Maxwell’s Equation, Type A and Type B had the highest electrical conductivity of 58.48 IACS% and 77.35 IACS% respectively at W content of 5Wt.%. Type A and Type B also had the highest thermal conductivity of 369.86 W/m.℃ and 310.24 W/m.℃ respectively at W content of 5 Wt.%. Besides that, thermal conductivity also increased with the temperature increased until 450℃

Developing higher order thinking in medical education through reflective learning and research

Reflection in education is not a new concept for as Meiklejohn (1882) enthused, ‘learning is a social act.’ Dewey (1933), a key twentieth century instigator of the concept of reflection, expanded upon the ideas of earlier educators including Plato, Aristotle, Confucius, Lao Tzu, Solomon, and Buddha (Houston, 1988). The preferred reflective model of Perioperative Critical Care pathway students at the University of Bedfordshire has been Reflection-for-Learning. This student-centred model of reflection was developed for their use to meet student identified needs

Analysis and evaluation of uncertainty for conducted and radiated emissions tests

Whenever an EMC measurement is made, there are numerous uncertainties in different parts of the measurement system and even in the EMC performance of the equipment under test (EUT) which is being measured. It is important to be able to estimate the overall uncertainty, in particular, the test setup and measurement equipment uncertainty. However, making repetitive measurements can reduce the measurement uncertainty, but often economics of time do not permit that. Therefore, a practical process, which is used to evaluate uncertainty in EMC measurement a, according to the principle of uncertainty and conditions in EMC measurement is presented. In this study, an efficient analysis of uncertainty for both radiated and conducted emissions tests is performed. The uncertainty of each contributor had been calculated and evaluating the reported expanded uncertainty of measurement is stated as the standard uncertainty of measurement. This standard uncertainty is multiplied by the coverage factor k=2, which for a normal distribution corresponds to a coverage probability of approximately 95%. The result of calculating the uncertainty for both conducted and radiated emission tests showed that the overall uncertainty of the system is high and it must be lowered by reducing the expanded uncertainty for the dominant contributors for both tests. In addition, the result of applying the concept of CISPR uncertainty for both conducted and radiated emission tests showed that non-compliance is deemed to occur for both EUT of both tests. This is due to the result that the measured disturbances increased by ( ), above the disturbance limit

Connected Learning Journeys in Music Production Education

The field of music production education is a challenging one, exploring multiple creative, technical and entrepreneurial disciplines, including music composition, performance electronics, acoustics, musicology, project management and psychology. As a result, students take multiple ‘learning journeys’ on their pathway towards becoming autonomous learners. This paper uniquely evaluates the journey of climbing Bloom’s cognitive domain in the field of music production and gives specific examples that validate teaching music production in higher education through multiple, connected ascents of the framework. Owing to the practical nature of music production, Kolb’s Experiential Learning Model is also considered as a recurring function that is necessary for climbing Bloom’s domain, in order to ensure that learners are equipped for employability and entrepreneurship on graduation. The authors’ own experiences of higher education course delivery, design and development are also reflected upon with reference to Music Production pathways at both the University of Westminster (London, UK) and York St John University (York, UK)

Attention to Diversity from Artificial Intelligence

Artificial intelligence (AI) is influencing various sectors of society, including the educational field. The use of AI can have great potential in education, however, it is necessary to know both its performance and its limitations. The main objective of this study is to analyze the prompts made by teachers in initial training in relation to the topic of specific educational support needs, classifying them according to Bloom's Taxonomy. For this, 63 students from the first year of the Primary Education Degree in the subject Information and Communication Technology applied to Education participated. The results show that the highest frequency of prompts made by students correspond to the highest levels of Bloom's taxonomy (apply and create), which suggests that students are capable of using the knowledge acquired in the subject to create new learning situations with their future students. This confirms that the implementation of this methodology is beneficial for the development of cognitive and pedagogical skills of future teachers.VI Research and Transfer Plan of the University of Seville (VI PPIT-US)IV Plan Propio de Docencia. Convocatoria de Apoyo a la Coordinación e Innovación Docente (ref. 221) – Convocatoria 2023/2024. Referencia 113

VIEWS ON TAXONOMY AND LEARNING

Taxonomy(from Greek ‘taxis’ meaning arrangement or division and ‘nomos’ meaninglaw) is the science of classification according to a pre-determined system. Inthis article taxonomy will be viewed as classification of thinking.Insteadof the traditional approach of directing instruction to the transmission ofknowledge and defining objectives in terms of content to be learnt,student-centred approach acknowledges what the student does. An instrument likea taxonomy can be used for planning, learning and assessment.Learningcan be categorized based on the complexity of the thought process used.Teachers apply Bloom's Taxonomy in the classroom to enhance students' knowledgeby helping them use increasingly complex reasoning. SOLO, which stands for theStructure of the Observed Learning Outcome, is essentially ahierarchy which has five stages or levels that attempts to assess the studentslearning based on the quality of their work. Theaim of the article is to study theoretically two taxonomies which complementeach other.Theobject of the research is similarities and diferences in SOLO and Bloom’sTaxonomy.Theresearch method used in the article is the analysis of scientific literature onSOLO and Bloom’s taxonomies.KEYWORDS:taxonomy, levels of thinking, learning