88 research outputs found
Laboratory Shear building model assembling and experimentation (Kumar Anjneya & Koushik Roy)
No full textThe video describes the model assembling and experimentation of a six-storey three-dimensional miniature model (scale 1:20) of shear building. The experimental setup is located at Structural health monitoring lab, Block VI, Department of Civil and Environmental engineering, Indian Institute of technology (IIT), Patna, Bihar, India.
The experiment was conducted by Kumar Anjneya, currently a research Scholar at Indian Institute of technology (IIT), Kharagpur, India. The video was recorded by Eshwar Kuncham
Laboratory Shear building model assembling and experimentation (Kumar Anjneya & Koushik Roy)
No full textThe video describes the model assembling and experimentation of a six-storey three-dimensional miniature model (scale 1:20) of shear building. The experimental setup is located at Structural health monitoring lab, Block VI, Department of Civil and Environmental engineering, Indian Institute of technology (IIT), Patna, Bihar, India.
The experiment was conducted by Kumar Anjneya, currently a research Scholar at Indian Institute of technology (IIT), Kharagpur, India. The video was recorded by Eshwar Kuncham
Evaluation of periodontal risk assessment model among adults aged 30-60 years attending KLE Dental College, Belgaum: A hospital-based study
No full textAim : The aim of the present study was to evaluate the periodontal risk of individuals using the modified periodontal risk assessment model. Materials and Methods: Adult subjects aged 30-60 years attending the out patient department of Institute of Dental Sciences, Belgaum in a week′s period were screened and 30 among those who met the criteria were included in the study. Complete history and examination of the oral cavity was done using mouth mirror and community periodontal index probes. Periodontal status was recorded using community periodontal index. Systemic conditions like hypertension and diabetes was assessed by suitable investigations. All the risk factors were plotted on a model using Microsoft excel and periodontal risk was assessed based on the findings and categorized as low, moderate and high risk. Results: Among 30 patients 13 were in low risk group, 10 in moderate risk group, and 7 in high risk group identified by proposed model given by Vishwa Chandra whereas 20 patients were in low risk group, 5 in moderate risk group and 5 in high risk group when identified Lang and Tonetti model (2003). Conclusion: In conclusion the use of risk assessment tool would result in reduction of complex therapies and would prevent the future effects of periodontal disease such as bone and tooth loss
A Living Lab for Structural Health Monitoring at the Nibelungen Bridge Worms for Transfer Learning of Structural Dynamics
No full textThe Nibelungen Bridge in Worms, Germany has been selected as a national demonstration structure for advanced non-destructive testing (NDT) and structural health monitoring concepts to extend the lifetime of civil structures and to optimize O&M actions. Parts of the research that involves this bridge as a demonstrator belong to the focus area program SPP100+. In this program, the bridges SHM System has been extended and combined with an additional setup of vibration sensors. The used digital smart sensor with pre-processing functions, the arrangement of the sensors at the structure and additional edge computing capability allows the investigation of transfer learning and other methods directly into the real structure. The living lab with seven triaxial accelerometers can be reconfigured in real-time and adjusted to the needs of AI models for classification. The comparison with the existing conventional SHM sensors has been made possible by hardware synchronization to the existing SHM System and collocating sensors at similar positions, so that a hardware exchange can be an investigated use-case for the transfer learning. During idle times, the system collects vibration data like a conventional SHM system
Optimal choice of machine tool for a machining job in a CAE environment
No full textThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Developments in cutting tools, coolants, drives, controls, tool changers, pallet changers and the philosophy of machine tool design have made ground breaking changes in machine tools and machining processes. Modern Machining Centres have been developed to perform several operations on several faces of a workpiece in a single setup. On the other hand industry requires high value added components, which have many quality critical features to be manufactured in an outsourcing environment as opposed to the traditional in-house manufacture. The success of this manufacture critically depends on matching the advanced features of the machine tools to the complexity of the component. This project has developed a methodology to represent the features of a machine tool in the form of an alphanumeric string and the features of the component in another string. The strings are then matched to choose the most suitable and economical Machine Tool for the component’s manufacture.
Literature identified that block structure is the way to answer the question ‘how to systematically describe the layout of such a machining centre’. Incomplete attempts to describe a block structure as alphanumeric strings were also presented in the literature. Survey on sales literature from several machine tool suppliers was investigated to systematically identify the features need by the user for the choice of a machine tool. Combining these, a new alphanumeric string was developed to represent machine tools. Using these strings as one of the ‘key’s for sorting a database of machine tools was developed. A supporting database of machine tools was also developed.
Survey on machining on the other hand identified, that machining features can be used as a basis for planning the machining of a component. It analysed various features and feature sets proposed and provided and their recognition in CAD models. Though a vast number of features were described only two sets were complete sets. The project was started with one of them, (the other was carrying too many unwanted details for the task of this project) machining features supported by ‘Expert Machinist’ software. But when it became unavailable a ‘Feature set’ along those lines were defined and used in the generation of an alphanumeric string to represent the work. Comparing the two strings led the choice of suitable machines from the database.
The methodology is implemented as a bolt on software incorporated within Pro/Engineer software where one can model any given component using cut features (mimicking machining operation) and produce a list of machine tools having features for the machining of that component. This will enable outsourcing companies to identify those Precision Engineers who have the machine tools with the matching apabilities. Supporting software and databases were developed using Access Database, Visual Basic and C with Pro/TOOLKIT functions. The resulting software suite was tested on several case studies and found to be effective
Avoimen silmäkkeen muodostumisen mallintaminen kaasuhuuhdellussa senkassa
No full textAbstractIn ladle metallurgy, gas stirring and the behaviour of the slag layer are very important for alloying and the homogenization of the steel. When gas is injected through a nozzle located at the bottom of the ladle into the metal bath, the gas jet exiting the nozzle breaks up into gas bubbles. The rising bubbles break the slag layer and create an open-eye. The size of the open-eye is very important as the efficiency of the metal-slag reactions depend on the interaction between the slag and steel created during the stirring process, and information about the position and size of the open-eye is important for effective alloying practice. Moreover, the open-eye has an effect on the energy balance since it increases heat losses.In this study, experimental measurements and numerical simulations were performed to study the effect of different operating parameters on the formation of the open-eye and mixing time in a water model and industrial ladle. Experimental measurements were performed to study the effect of the gas flow rate, slag layer thickness, slag layer densities and number of porous plugs in a 1/5 scale water model and in a 150-ton steelmaking ladle. For numerical modelling, a multi-phase volume of fluid (VOF) model was used to simulate the system including the behaviour of the slag layer. The numerical simulation of the open-eye size and mixing time was found to be in good agreement with the experimental data obtained from the water model and data obtained from the industrial measurements.Original papersOriginal papers are not included in the electronic version of the dissertation.Ramasetti, E.K., Visuri, V.-V., Sulasalmi, P., Kärnä, A., & Fabritius, T. (2017). Numerical study of multiphase flows in a ladle for different closure models. Proceedings of the 11th Pacific Symposium on Flow Visualization and Image Processing, Kumamoto University, Kumamoto, Japan.Self-archived versionRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., & Fabritius, T. (2018). A CFD and experimental investigation of slag eye in gas stirred ladle. Journal of Fluid Flow, Heat and Mass Transfer, 5, 78-86. 10.11159/jffhmt.2018.008Self-archived versionRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Mattila, R., & Fabritius, T. (2019). Modeling of the effect of the gas flow rate on the fluid flow and open-eye formation in a water model of a steelmaking ladle. Steel Research International, 90(2), 1-15. https://doi.org/10.1002/srin.201800365Self-archived versionRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Gupta, A.K., Palovaara, T., & Fabritius, T. (2019). Physical and CFD modelling of the effect of top layer properties on the formation of open-eye in gas-stirred ladles with single and dual-plugs. Steel Research International, 1900088, 1-13. https://doi.org/10.1002/srin.201900088Self-archived versionRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Savolainen, J., Li, M., Shao, L., & Fabritius, T. (2019). Numerical modelling of the influence of argon flow rate and slag layer height on open-eye formation in a 150-ton steelmaking ladle. Metals, 9(10), 1048. https://doi.org/10.3390/met9101048Self-archived versionRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Fabritius, T., Saatio, T., Li, M., & Shao, L. (2019). Numerical modeling of open-eye formation and mixing time in argon stirred industrial ladle. Metals, 9(8), 829. https://doi.org/10.3390/met9080829Self-archived versionTiivistelmäSenkkametallurgiassa kaasuhuuhtelu ja kuonakerroksen käyttäytyminen ovat tärkeitä teräksen seostamisen ja homogenisoinnin näkökulmasta. Senkan pohjalla sijaitsevasta suuttimesta puhallettava kaasu hajoaa kupliksi, jotka rikkovat kuonakerroksen ja muodostavat avoimen silmäkkeen. Avoimen silmäkkeen koko on yhteydessä voimakkaampaan kuonan emulgoitumiseen, joka tehostaa metallisulan ja kuonan välisiä reaktioita. Tietoa avoimen silmäkkeen paikasta ja koosta tarvitaan myös tehokkaaseen seostuspraktiikkaan. Avoin silmäke vaikuttaa lisäksi prosessin energiataseeseen lisäten sen lämpöhäviöitä.Tässä tutkimuksessa tutkittiin kokeellisesti ja laskennallisesti erilaisten operointiparametrien vaikutusta avoimen silmäkkeen muodostumiseen vesimallissa ja terässenkassateollisessa senkassa. Kokeellisia mittauksia tehtiin kaasuhuuhtelun, kuonakerroksen paksuuden, ja suuttimien määrän vaikutuksen tutkimiseksi 1/5-mittakaavan vesimallissa ja 150 tonnin terässenkassa. Numeerisessa mallinnuksessa systeemin ja siihen lukeutuvan kuonakerroksen käyttäytymisen simuloimiseen käytettiin volume of fluid (VOF) -monifaasimenetelmää. Avoimen silmäkkeen kokoon ja sekoittumisaikaan liittyvien numeeristen simulointien havaittiin vastaavan hyvin vesimallista ja teollisista mittauksista saatua kokeellista aineistoa.OsajulkaisutOsajulkaisut eivät sisälly väitöskirjan elektroniseen versioon.Ramasetti, E.K., Visuri, V.-V., Sulasalmi, P., Kärnä, A., & Fabritius, T. (2017). Numerical study of multiphase flows in a ladle for different closure models. Proceedings of the 11th Pacific Symposium on Flow Visualization and Image Processing, Kumamoto University, Kumamoto, Japan.Rinnakkaistallennettu versioRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., & Fabritius, T. (2018). A CFD and experimental investigation of slag eye in gas stirred ladle. Journal of Fluid Flow, Heat and Mass Transfer, 5, 78-86. 10.11159/jffhmt.2018.008Rinnakkaistallennettu versioRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Mattila, R., & Fabritius, T. (2019). Modeling of the effect of the gas flow rate on the fluid flow and open-eye formation in a water model of a steelmaking ladle. Steel Research International, 90(2), 1-15. https://doi.org/10.1002/srin.201800365Rinnakkaistallennettu versioRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Gupta, A.K., Palovaara, T., & Fabritius, T. (2019). Physical and CFD modelling of the effect of top layer properties on the formation of open-eye in gas-stirred ladles with single and dual-plugs. Steel Research International, 1900088, 1-13. https://doi.org/10.1002/srin.201900088Rinnakkaistallennettu versioRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Savolainen, J., Li, M., Shao, L., & Fabritius, T. (2019). Numerical modelling of the influence of argon flow rate and slag layer height on open-eye formation in a 150-ton steelmaking ladle. Metals, 9(10), 1048. https://doi.org/10.3390/met9101048Rinnakkaistallennettu versioRamasetti, E.K., Visuri, V.-V., Sulasalmi, P., Fabritius, T., Saatio, T., Li, M., & Shao, L. (2019). Numerical modeling of open-eye formation and mixing time in argon stirred industrial ladle. Metals, 9(8), 829. https://doi.org/10.3390/met9080829Rinnakkaistallennettu versioAcademic dissertation to be presented, with the assent of the Doctoral Training Committee of Technology and Natural Sciences of the University of Oulu, for public defence in the Arina auditorium (TA105), Linnanmaa, on 25 October 2019, at 12 noonAbstract
In ladle metallurgy, gas stirring and the behaviour of the slag layer are very important for alloying and the homogenization of the steel. When gas is injected through a nozzle located at the bottom of the ladle into the metal bath, the gas jet exiting the nozzle breaks up into gas bubbles. The rising bubbles break the slag layer and create an open-eye. The size of the open-eye is very important as the efficiency of the metal-slag reactions depend on the interaction between the slag and steel created during the stirring process, and information about the position and size of the open-eye is important for effective alloying practice. Moreover, the open-eye has an effect on the energy balance since it increases heat losses.
In this study, experimental measurements and numerical simulations were performed to study the effect of different operating parameters on the formation of the open-eye and mixing time in a water model and industrial ladle. Experimental measurements were performed to study the effect of the gas flow rate, slag layer thickness, slag layer densities and number of porous plugs in a 1/5 scale water model and in a 150-ton steelmaking ladle. For numerical modelling, a multi-phase volume of fluid (VOF) model was used to simulate the system including the behaviour of the slag layer. The numerical simulation of the open-eye size and mixing time was found to be in good agreement with the experimental data obtained from the water model and data obtained from the industrial measurements.Tiivistelmä
Senkkametallurgiassa kaasuhuuhtelu ja kuonakerroksen käyttäytyminen ovat tärkeitä teräksen seostamisen ja homogenisoinnin näkökulmasta. Senkan pohjalla sijaitsevasta suuttimesta puhallettava kaasu hajoaa kupliksi, jotka rikkovat kuonakerroksen ja muodostavat avoimen silmäkkeen. Avoimen silmäkkeen koko on yhteydessä voimakkaampaan kuonan emulgoitumiseen, joka tehostaa metallisulan ja kuonan välisiä reaktioita. Tietoa avoimen silmäkkeen paikasta ja koosta tarvitaan myös tehokkaaseen seostuspraktiikkaan. Avoin silmäke vaikuttaa lisäksi prosessin energiataseeseen lisäten sen lämpöhäviöitä.
Tässä tutkimuksessa tutkittiin kokeellisesti ja laskennallisesti erilaisten operointiparametrien vaikutusta avoimen silmäkkeen muodostumiseen vesimallissa ja terässenkassateollisessa senkassa. Kokeellisia mittauksia tehtiin kaasuhuuhtelun, kuonakerroksen paksuuden, ja suuttimien määrän vaikutuksen tutkimiseksi 1/5-mittakaavan vesimallissa ja 150 tonnin terässenkassa. Numeerisessa mallinnuksessa systeemin ja siihen lukeutuvan kuonakerroksen käyttäytymisen simuloimiseen käytettiin volume of fluid (VOF) -monifaasimenetelmää. Avoimen silmäkkeen kokoon ja sekoittumisaikaan liittyvien numeeristen simulointien havaittiin vastaavan hyvin vesimallista ja teollisista mittauksista saatua kokeellista aineistoa
Optimal choice of machine tool for a machining job in a CAE environment
No full textDevelopments in cutting tools, coolants, drives, controls, tool changers, pallet changers and the philosophy of machine tool design have made ground breaking changes in machine tools and machining processes. Modern Machining Centres have been developed to perform several operations on several faces of a workpiece in a single setup. On the other hand industry requires high value added components, which have many quality critical features to be manufactured in an outsourcing environment as opposed to the traditional in-house manufacture. The success of this manufacture critically depends on matching the advanced features of the machine tools to the complexity of the component. This project has developed a methodology to represent the features of a machine tool in the form of an alphanumeric string and the features of the component in another string. The strings are then matched to choose the most suitable and economical Machine Tool for the component’s manufacture. Literature identified that block structure is the way to answer the question ‘how to systematically describe the layout of such a machining centre’. Incomplete attempts to describe a block structure as alphanumeric strings were also presented in the literature. Survey on sales literature from several machine tool suppliers was investigated to systematically identify the features need by the user for the choice of a machine tool. Combining these, a new alphanumeric string was developed to represent machine tools. Using these strings as one of the ‘key’s for sorting a database of machine tools was developed. A supporting database of machine tools was also developed. Survey on machining on the other hand identified, that machining features can be used as a basis for planning the machining of a component. It analysed various features and feature sets proposed and provided and their recognition in CAD models. Though a vast number of features were described only two sets were complete sets. The project was started with one of them, (the other was carrying too many unwanted details for the task of this project) machining features supported by ‘Expert Machinist’ software. But when it became unavailable a ‘Feature set’ along those lines were defined and used in the generation of an alphanumeric string to represent the work. Comparing the two strings led the choice of suitable machines from the database. The methodology is implemented as a bolt on software incorporated within Pro/Engineer software where one can model any given component using cut features (mimicking machining operation) and produce a list of machine tools having features for the machining of that component. This will enable outsourcing companies to identify those Precision Engineers who have the machine tools with the matching apabilities. Supporting software and databases were developed using Access Database, Visual Basic and C with Pro/TOOLKIT functions. The resulting software suite was tested on several case studies and found to be effective.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Studies of The Physical Properties and Reduction-Swelling Behavior of Fired Haematite Iron Ore Pellets
No full textKeeping in mind, during the course of mining, a large amount of iron and coal fines are generated, a technique need to be developed to make use of almost useless fines. In my project work, we are making studies of reduction-swelling behavior of nuggets made out from hematite ore under the influence of varying parameters. We studied the physical characteristics of fired iron ore pellets. As we increase the dose of binder, i.e., bentonite, the crushing strength & drop no. increases. Objectives of this project work is to investigate the effects of (a) reduction temp. & time (b) content of bentonite on swelling-reduction properties of fired hematite nuggets. The extent of reduction of fired pellets observed to be increased as we raise the temperature from 850?c-950?c.The extent of reduction of fired nuggets are observed to increasing with increase in length of time provided to the pellets for reduction. At 850?c, maximum percentage swelling is observed. This is due to the growth of pellet matrix as can be seen from SEM pics. Lowest degree of reduction is observed at 800°C and gives highest value at 950°C.Pellets reduced at higher temperature as 900 &950, gives slight decreased value than pellet reduced at 850°C because of sintering of pellet matrix as clearly seen in the SEM pic
Modelling of open-eye formation and mixing phenomena in a gas-stirred ladle for different operating parameters
No full textAbstract
In ladle metallurgy, gas stirring and the behaviour of the slag layer are very important for alloying and the homogenization of the steel. When gas is injected through a nozzle located at the bottom of the ladle into the metal bath, the gas jet exiting the nozzle breaks up into gas bubbles. The rising bubbles break the slag layer and create an open-eye. The size of the open-eye is very important as the efficiency of the metal-slag reactions depend on the interaction between the slag and steel created during the stirring process, and information about the position and size of the open-eye is important for effective alloying practice. Moreover, the open-eye has an effect on the energy balance since it increases heat losses.
In this study, experimental measurements and numerical simulations were performed to study the effect of different operating parameters on the formation of the open-eye and mixing time in a water model and industrial ladle. Experimental measurements were performed to study the effect of the gas flow rate, slag layer thickness, slag layer densities and number of porous plugs in a 1/5 scale water model and in a 150-ton steelmaking ladle. For numerical modelling, a multi-phase volume of fluid (VOF) model was used to simulate the system including the behaviour of the slag layer. The numerical simulation of the open-eye size and mixing time was found to be in good agreement with the experimental data obtained from the water model and data obtained from the industrial measurements.Tiivistelmä
Senkkametallurgiassa kaasuhuuhtelu ja kuonakerroksen käyttäytyminen ovat tärkeitä teräksen seostamisen ja homogenisoinnin näkökulmasta. Senkan pohjalla sijaitsevasta suuttimesta puhallettava kaasu hajoaa kupliksi, jotka rikkovat kuonakerroksen ja muodostavat avoimen silmäkkeen. Avoimen silmäkkeen koko on yhteydessä voimakkaampaan kuonan emulgoitumiseen, joka tehostaa metallisulan ja kuonan välisiä reaktioita. Tietoa avoimen silmäkkeen paikasta ja koosta tarvitaan myös tehokkaaseen seostuspraktiikkaan. Avoin silmäke vaikuttaa lisäksi prosessin energiataseeseen lisäten sen lämpöhäviöitä.
Tässä tutkimuksessa tutkittiin kokeellisesti ja laskennallisesti erilaisten operointiparametrien vaikutusta avoimen silmäkkeen muodostumiseen vesimallissa ja terässenkassateollisessa senkassa. Kokeellisia mittauksia tehtiin kaasuhuuhtelun, kuonakerroksen paksuuden, ja suuttimien määrän vaikutuksen tutkimiseksi 1/5-mittakaavan vesimallissa ja 150 tonnin terässenkassa. Numeerisessa mallinnuksessa systeemin ja siihen lukeutuvan kuonakerroksen käyttäytymisen simuloimiseen käytettiin volume of fluid (VOF) -monifaasimenetelmää. Avoimen silmäkkeen kokoon ja sekoittumisaikaan liittyvien numeeristen simulointien havaittiin vastaavan hyvin vesimallista ja teollisista mittauksista saatua kokeellista aineistoa
A study of prescription auditing in inpatient general medicine in tertiary care government hospital
No full textBackground: Irrational prescribing is a global problem. Prescription auditing can help to find the medication errors caused by the Inappropriate prescribing. It is the systematic tool for analysing the quality of medical care, including the procedures used for diagnosis and treatment.Methods: An observational, non-interventional study carried in general medicine department. A list of 10 questions were prepared to assess the appropriateness of prescribing patterns.Results: A total of 110 prescriptions were collected and audited. Out of 110 prescriptions 6 (5%) prescriptions have therapeutic duplications and 21 (19%) classes of drugs in the prescription have interactions with each other. Found 8 (7%) drug food interactions. Found 100% appropriateness of drug ordered based on patient diagnosis, dosage of drug, frequency of drug, route of administration, drug intended to have a drug order in the medication chart, medication orders are clear, legible, dated, timed, names and signed, medication chart do not have any unapproved abbreviationsConclusion: This study shows most of the prescribers need to check for drug duplication, drug-drug interactions and drug-food interactions before prescribing the medicines
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