bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Influence of Briquetted Synthetic Slags on Slag Regime and Process of Steel Desulphurization
Authors: Socha L. , Michalek K. , Bažan J. , Gryc K. , Machovčák P. , Opler A. , Styrnal P.
Published: June 2014

This paper presents the industrial results of evaluation of efficiency of synthetic slags during the treatment of steel at the equipment of the secondary metallurgy under conditions of the steel plant VÍTKOVICE HEAVY MACHINERY a.s. The aim of the heats was to assess the influence of the briquetted and sintered synthetic slags based on Al2O3 aiming the course of the steel desulphurization and slag regime during the production and treatment of steel grade 42CrMo4 with the technology EAF→LF→ VD. Within the plant experiments, basic parameters influencing the steel desulphurization and slag regime were monitored: desulphurization degree, basicity, content of easily reducible oxides, proportion of CaO/Al2O3 and Mannesmann’s index. Obtained results allowed to compare the steel desulphurization and to evaluate the slag regime. It was proved that the synthetic slag presenting the briquetted mixture of secondary corundum raw materials can adequately replace the synthetic slag created from the sintered mixture of natural raw materials.
Psychiatric illnesses among Dalit Nepalese population
Authors: Banerjee Indrajit , Saha Archana , Banerjee Indraneel , Chakraborty P K , Jauhari A C , Sathian Brijesh , Roy Bedanta , Pugazhandhi B , Khadka Shovit
Published: June 2014

Background   Nepalese population includes a wide variety of ethnic groups namely, the Brahmin, Chettri, Dalit, Gurung, Newar, Puns, Magar Dalits population in Nepal are a traditionally victimised, underprivileged community who have been obliged to lag at the base of the public constitution in Nepal.  Dalits Nepalese has poor income, education and other human development indicators. They are often landless and much poorer than the dominant caste population like the Brahmins, chetris, newars. The main objective of the study was to find out the commonest psychiatric disorder found in the poor Dalit Nepalese population in western development region of Nepal for which hospitalization is required. Method The study was a cross sectional study carried out between 1st October- 31st March 2010 at Psychiatric ward in Manipal Teaching hospital. The diagnosis of the disease was based on ICD-10 (Tenth revision) Classification of mental and behavioral disorders, Diagnostic Criteria for Research.. Results Among all the psychiatric diseases Schizophrenia, Schizotypal and Delusion Disorders 30.6%  was the commonest disease seen in the Dalit Population followed by Mental and behavioral disorder due to Psychoactive Substance abuse 20.8%. Psychiatric diseases were more common in male patients 52.8%. 87.5% of the cases were <40 yrs of age, 72.2% of the patients were Hindus by religion followed by Christian 27.8%. 87.5% of the patients were unemployed and 84.7% of the patients were having monthly income <10000/month. 45.8% of the patients were students followed by housewife 34.7%. Mental and behavioural disorder due to Psychoactive Substance abuse F10-19 was found more prevalent in males [OR 8.320,95%(CI(1.717, 40.311)] as compared to female patients among the Dalit patients Conclusion Among the low socio-economic class Dalits Schizophrenia was the commonest psychiatric disorder followed by Mental and behavioral disorder due to Psychoactive Substance abuse. Psychiatric illnesses are mediated by poverty, unemployment and dearth of family income which leads to psychiatric illness among dalit Nepalese population. Interventions should target these factors to minimise the load of various psychiatric illness among poor Dalit Nepalese population. DOI: http://dx.doi.org/10.3126/nje.v4i3.10667 Nepal Journal of Epidemiology 2014; 4(3): 370-377
Preparation and Properties of Fluorinated Acrylate Resin Film with Resisting Fluid for Dairy Packaging
Authors: Liu X.-H. , Zhang P. , Peng J.-P. , Wang Y. , Huang C. , Hu M.-J. , Li H.-B. , Qian J.
Published: June 2014

Nowadays there is a widespread phenomenon of dairy residue, which causes a great deal of waste. To solve this problem, the copolymer of fluorinated acrylate resin was synthesized and the resisting fluid film was prepared. The proprieties of the fluorinated acrylate resin coatings were characterized by scanning electron microscope (SEM), measuring the contact angle of the droplet liquid on the surface of the coating, the influence of acidic environment, the adhesion to substrate material, and analyzing thermogravimetry (TG) and Gas Chromatography (GC). It was found that the fluorinated acrylate resin film is a kind of resisting fluid film with excellent property and it is safe, nontoxic and readily biodegradable. So it was said a very potential dairy packaging material.
A Study on the Mechanical Property and 3D Fiber Distribution in Injection Molded Glass Fiber Reinforced PA66
Authors: Ryu J. B. , Lyu M.-Y.
Published: June 2014

Polyamide66 (PA66) is being widely used for automobile part and other applications. In many cases, PA66 is reinforced with glass fiber to enhance its mechanical properties. In this study, the mechanical properties and glass fiber distributions in injection molded part have been investigated for glass fiber reinforced PA66. Two shapes of glass fibers, circular and flat, were used for the glass fiber reinforced PA66. X-ray microtomography (micro-CT) was used to observe the glass fiber distributions in the PA66 composites. Micro-CT photos were taken in three directions to observe the three-dimensional glass fiber distributions in the injection molded specimens. Investigation of the mechanical properties in relation to the glass fiber orientation revealed that the orientation of the fibers enhanced the mechanical properties. Glass fibers with smaller diameters resulted in better mechanical properties. Circular glass fiber reinforced PA66 exhibited better mechanical properties than flat glass fiber reinforced PA66. The skin layer showed that the glass fibers strongly orientated to the flow direction while glass fibers in the core layer orientated perpendicular to the flow direction because of fountain flows. Glass fibers in the core layer also oriented to the width direction of the flow. Consequently, glass fibers in this core region oriented three dimensionally. Full three-dimensional model of glass fiber orientation was proposed in this paper.
Feeding an Extruder of a Modified Feed Zone Design with Poly(vinyl chloride) Pellets of Variable Geometric Properties
Authors: Sikora J. W.
Published: June 2014

The extrusion process is greatly affected by both feed zone geometry and dimensions of pellets fed into the hopper. The paper presents the results of studies undertaken to investigate the effect of both the dimensions of a feed pocket made in the barrel below the feed opening and pellet length on the single-screw extrusion process for plasticized poly(vinyl chloride). The dependencies of the extrudate temperature, extruder screw torque, polymer mass flow rate and unit energy consumption supplied to the extruder on the above mentioned variable factors were determined. It has been found that the most advantageous solution for the investigated screw speed range is to run the extrusion process at the highest screw speeds possible, feed the extruder with pellets whose length is similar to their diameter, and use the feed pocket in the barrel.
Dispersion Enhancement of Multi-Walled Carbon Nanotubes in Nitrile Rubber
Authors: Boonbumrung A. , Sae-oui P. , Sirisinha C.
Published: June 2014

A study of reinforcement mechanism of multi-walled carbon nanotubes (MWCNT) in nitrile rubber (NBR) matrix was carried out. Attempts to enhance the dispersion degree of MWCNT and the NBR-MWCNT interaction were conducted using numerous approaches, namely, sonication and chemical treatments of MWCNT with nitric acid (HNO3), nitric-sulfuric acid mixture (HNO3/H2SO4) and potassium permanganate (KMnO4). Rheological behavior, dynamic properties and electrical properties of MWCNT/NBR vulcanizates were monitored. Results gained reveal the magnitude of Payne effect increases with MWCNT content and mixing time. The expanded MWCNT and continuous-network formation are observed with an increase in mixing time, yielding enhanced mechanical properties and electrical properties. With MWCNT modification, a significant reduction in the state-of-mix of MWCNT composites is exhibited. SEM results demonstrate the highest magnitude of MWCNT dispersion in the system with HNO3, but relatively poor interaction with NBR. The HNO3/H2SO4 or KMnO4 system demonstrates poor MWCNT dispersion after treatment which is probably due to the compaction of MWCNT during the drying stage after the chemical treatment process, giving the detrimental effect to mechanical and electrical properties of vulcanizates.
Mold Filling Simulation Dependence on Material Data Input for Injection Molding Process of Natural Rubber Compound
Authors: Khang T. H. , Ariff Z. M.
Published: June 2014

The influence of material data input towards the mold filling behavior of a natural rubber compound during an injection molding process was investigated. A commercial injection molding software (Cadmould) was utilized in evaluating the effect of using experimentally obtained material data on the mold filling progression in comparison to the actual injection molding procedure. The experimental rheological data were measured using a capillary rheometer and subsequently, the Carreau and Cross models were used to acquire the rheological parameters by curve fitting and extrapolation procedures. The cure kinetics data were obtained by employing a cure rheometer technique along with utilization of empirical approach through application of mathematical models proposed by Claxton–Liska and Deng–Isayev. It was discovered that the acquired data were able to function as reliable material data input as they were comparable with related data available in the software materials' database. Verification of the simulated filling profiles by experimental short shots specimens showed that the software Rubber Package was able to predict the realistic filling behavior of the formulated natural rubber compound inside the mold cavity when the measured material data were utilized. Whereas, the usage of available material data from the software database failed to model the mold filling progression of the prepared natural rubber compound.
A Maximum Entropy Fixed-Point Route Choice Model for Route Correlation
Authors: De Grange Louis , Raveau Sebastián , González Felipe
Published: June 2014

In this paper we present a stochastic route choice model for transit networks that explicitly addresses route correlation due to overlapping alternatives. The model is based on a multi-objective mathematical programming problem, the optimality conditions of which generate an extension to the Multinomial Logit models. The proposed model considers a fixed point problem for treating correlations between routes, which can be solved iteratively. We estimated the new model on the Santiago (Chile) Metro network and compared the results with other route choice models that can be found in the literature. The new model has better explanatory and predictive power that many other alternative models, correctly capturing the correlation factor. Our methodology can be extended to private transport networks.
GIS and Public Health
Authors: Bertazzon Stefania
Published: June 2014

This Special Issue on GIS and public health is the result of a highly selective process, which saw the participation of some 20 expert peer-reviewers and led to the acceptance of one half of the high-quality submissions received over the past year. Many threads link these papers to each other and, indeed, to our original call for papers, but the element that most clearly emerges from these works is the inextricable connection between public health and the environment. Indeed, GIS analysis of public health simply cannot disregard the geospatial dimension of environmental resources and risks. What consistently emerges from these analyses is that current geospatial research can only scratch the surface of the complex interactions of spatial resources, risks, and public health. In today’s world, or at least in the developed world, researchers and practitioners can count on virtually endless data, on inexpensive computational power, and on seamless connectivity. In this research environment, these papers point to the need for improved analytical tools, covering concepts, representation, modeling and reliability. These works are important contributions that help us to identify what advances in geospatial analysis can better address the complex interactions of public health with our physical and cultural environment, and bridge research and practice, so that geospatial analyses can inform public health policy making. [...]
Mitochondrial Control Region Variability in Mytilus galloprovincialis Populations from the Central-Eastern Mediterranean Sea
Authors: Giantsis Ioannis , Abatzopoulos Theodore , Angelidis Panagiotis , Apostolidis Apostolos
Published: June 2014

The variable domain 1 (VD1) domain of the control region and a small segment of the rrnaL gene of the F mtDNA type were sequenced and analyzed in 174 specimens of Mytilus galloprovincialis. Samples were collected from eight locations in four Central-Eastern (CE) Mediterranean countries (Italy, Croatia, Greece and Turkey). A new primer, specific for the F mtDNA type, was designed for the sequencing procedure. In total 40 different haplotypes were recorded, 24 of which were unique. Aside from the two populations situated in Thermaikos gulf (Northern Aegean, Greece), relatively high levels of haplotype and nucleotide diversity were estimated for both Central and Eastern Mediterranean populations. Eight out of the 40 haplotypes were shared by at least three populations while two of them were found in all populations. ΦST and cluster analysis revealed lack of structuring among CE Mediterranean populations with the exception of those located at the Sea of Marmara and Croatian coast which were highly differentiated. Apart from the species’ inherit dispersal ability, anthropogenic activities, such as the repeated translocations of mussel spat, seem to have played an important role in shaping the current genetic population structure of CE M. galloprovincialis mussels.
APPLYING THE SIGN LUMINANCE COMPUTATION MODEL TO STUDY THE EFFECTS OF OTHER VEHICLES ON SIGN LUMINANCE
Authors: Ye Fan , Carlson Paul J. , Brimley Bradford K.
Published: June 2014

As one external lighting source on the road, headlamps from adjacent vehicles in the stream traffic should not be ignored. No comprehensive study has yet been developed for exploring the influence of sign luminance produced by other vehicle headlamps. In this paper, a luminance calculation model is developed to calculate sign luminance from all potential headlamps in the stream traffic. Using the model, four main scenarios have been simulated to analyze the effects of the positions of the target vehicle and other vehicles, vehicle type, sign type and sheeting material on the sign luminance. In addition, occlusion between vehicles is also addressed in the paper, by calculating the minimum distances between vehicles for the headlamps and for the driver’s view of the following vehicle when vehicles and the sign are and are not in the same lane.
MODELING AND ESTIMATING THE CAPACITY OF URBAN TRANSPORTATION NETWORK WITH RAPID TRANSIT
Authors: Cheng Lin , Du Muqing , Jiang Xiaowei , Rakha Hesham
Published: June 2014

To study the impact of the rapid transit on the capacity of current urban transportation system, a two-mode network capacity model, including the travel modes of automobile and transit, is developed based on the well-known road network capacity model. It considers that the travel demand accompanying with the regional development will increase in a variable manner on the trip distribution, of which the travel behavior is represented using the combined model split/trip distribution/traffic assignment model. Additionally, the choices of the travel routes, trip destinations and travel modes are formulated as a hierarchical logit model. Using this combined travel demand model in the lower level, the network capacity problem is formulated as a bi-level programming problem. The latest technique of sensitivity analysis is employed for the solution of the bi-level problem in a heuristic search. Numerical computations are demonstrated on an example network, and the before-and-after comparisons of building the new transit lines on the integrated transportation network are shown by the results.
The Business of Pediatric Hospital Medicine
Authors: Percelay Jack M. , Zipes David G.
Published: June 2014

Pediatric hospital medicine (PHM) programs are mission driven, not margin driven. Very rarely do professional fee revenues exceed physician billing collections. In general, inpatient hospital care codes reimburse less than procedures, payer mix is poor, and pediatric inpatient care is inherently time-consuming. Using traditional accounting principles, almost all PHM programs will have a negative bottom line in the narrow sense of program costs and revenues generated. However, well-run PHM programs contribute positively to the bottom line of the system as a whole through the value-added services hospitalists provide and hospitalists’ ability to improve overall system efficiency and productivity. This article provides an overview of the business of hospital medicine with emphasis on the basics of designing and maintaining a program that attends carefully to physician staffing (the major cost component of a program) and physician charges (the major revenue component of the program). Outside of these traditional calculations, resource stewardship is discussed as a way to reduce hospital costs in a capitated or diagnosis-related group reimbursement model and further improve profit—or at least limit losses. Shortening length of stay creates bed capacity for a program already running at capacity. The article concludes with a discussion of how hospitalists add value to the system by making other providers and other parts of the hospital more efficient and productive.

[
Pediatr Ann
. 2014; 43(7):279–284.]
Infusing Geropsychiatric Nursing Content Into Curricula: Challenges and Solutions
Authors: Batchelor-Aselage Melissa , DiMeglio Brittney , Aaron Charlene S. , Dugger B. Renee
Published: June 2014

Nurses of the 21st century are unprepared to care for the increasing older adult population’s mental health care needs. Nursing schools across the country struggle to identify and infuse geropsychiatric nursing content into curricula. In 2008, the John A. Hartford Foundation partnered with the American Academy of Nursing to fund a 4-year project, the Geropsychiatric Nursing Collaborative (GPNC). In 2011, four schools of nursing were selected to participate in the GPNC consultation project. This article describes two major challenges that schools currently face as they work to infuse geropsychiatric nursing content into nursing curricula and the solutions offered. Core geropsychiatric nursing competencies and content were identified to assist curriculum mapping, and examples of faculty resources for teaching about depression, dementia, and delirium were outlined. Incorporation of geropsychiatric nursing content is critical for preparing our future workforce to meet the increasing mental health care needs of older adults. [
J Nurs Educ.
2014;53(7):387–394.]
Optimal Features for Metamorphic Malware Detection
Authors: Vinod P. , Kuriakose Jikku , Ansari T. K. , Ayyappan Sonal
Published: June 2014

Malware or malicious code intends to harm computer systems without the knowledge of system users. These malicious softwares are unknowingly installed by naive users while browsing the Internet. Once installed, the malware performs unintentional activities like (a) steal username, password; (b) install spy software to provide remote access to the attackers; (c) flood spam messages; (d) perform denial of service attacks; etc. With the emergence of polymorphic and metamorphic malware, signature-based detectors are failing to detect new variants of these malware. The primary reason is that malicious code developed in new generation have different syntactic structures from their predecessor, thereby defeating any pattern matching techniques. Thus, the detection of morphed malware remains a complex open research problem for malware analysts. In this chapter, the authors discuss different types of malware with their detection methods. In addition, they present a proposed method employing machine learning techniques for the detection of metamorphic malware. The methodology demonstrates that appropriately selecting prominent features could improve the classification accuracy. The study also depicts that proposed methods that do not require signatures are effective in identifying and classifying morphed malware.
Application of Data Mining and Analysis Techniques for Renewable Energy Network Design and Optimization
Authors: Cai Tianxing
Published: June 2014

Energy supply is characterized by its diversity, including traditional energy, such as fossil fuels, nuclear power, as well as renewable energy, such as solar, hydroelectric, geothermal, biomass, and wind energy. It involves a complex network system composed of energy generation, energy transformation, energy transportation, and energy consumption. The network does provide the great flexibility for energy transformation and transportation; meanwhile, it presents a complex task for conducting agile energy dispatching when extreme events have caused local energy shortages that need to be restored timely. One of the useful methodologies to solve such a problem is data mining and analysis. Their main objective is to take advantage of inherent tolerance of the imprecision and uncertainty to obtain tractability, robustness, and low solution-cost. The applications and developments of data mining and analysis have amazingly evolved in the last two decades. Many of these applications can be found in the field of renewable energy and energy efficiency where data mining and analysis techniques are showing a great potential to solve the problems that arise in this area. In this chapter, data mining and analysis techniques are briefly introduced. Then the implementation procedures are presented to demonstrate the application of curve fitting for renewable energy network design and optimization, which has the capability to handle the restoration during extreme and emergency situations with uncertain parameters.
Rough Set on Two Universal Sets Based on Multigranulation
Authors: Acharjya D. P. , Geetha Mary A.
Published: June 2014

The fundamental concept of crisp set has been extended in many directions in the recent past. The notion of rough set by Pawlak is noteworthy among them. The rough set philosophy is based on the concept that there is some information associated with each object of the universe. There is a need to classify objects of the universe based on the indiscernibility relation among them. In the view of granular computing, rough set model is researched by single granulation. It has been extended to multigranular rough set model in which the set approximations are defined by using multiple equivalence relations on the universe simultaneously. However, in many real life scenarios, an information system establishes the relation with different universes. This gave the extension of multigranulation rough set on single universal set to multigranulation rough set on two universal sets. This chapter defines multigranulation rough set for two universal sets U and V. In addition, the algebraic properties, measures of uncertainty and topological characterization that are interesting in the theory of multigranular rough sets are studied. This helps in describing and solving real life problems more accurately.
Combining Semantics and Social Knowledge for News Article Summarization
Authors: Baralis Elena , Cagliero Luca , Jabeen Saima , Fiori Alessandro , Shah Sajid
Published: June 2014

With the diffusion of online newspapers and social media, users are becoming capable of retrieving dozens of news articles covering the same topic in a short time. News article summarization is the task of automatically selecting a worthwhile subset of news' sentences that users could easily explore. Promising research directions in this field are the use of semantics-based models (e.g., ontologies and taxonomies) to identify key document topics and the integration of social data analysis to also consider the current user's interests during summary generation. The chapter overviews the most recent research advances in document summarization and presents a novel strategy to combine ontology-based and social knowledge for addressing the problem of generic (not query-based) multi-document summarization of news articles. To identify the most salient news articles' sentences, an ontology-based text analysis is performed during the summarization process. Furthermore, the social content acquired from real Twitter messages is separately analyzed to also consider the current interests of social network users for sentence evaluation. The combination of ontological and social knowledge allows the generation of accurate and easy-to-read news summaries. Moreover, the proposed summarizer performs better than the evaluated competitors on real news articles and Twitter messages.
A Research on Information Collection Method for High-Precision Temperature Based on PLC Control
Authors: Li Jin Sheng
Published: June 2014

For the traditional PID algorithm, it is difficult to give a precise mathematical model which makes parameters setting of PLC temperature control system difficult. At the same time there are some defects in the system control, resulting in low system security, reliability and control quality. In order to solve the problems of the traditional algorithms, this paper proposes an information collection algorithm for temperature denoising based on high-precision PLC control, which is a combination of the PID algorithm, fuzzy control algorithms and neural network algorithm. Experiments show that the algorithm is effective to achieve the parameters self-tuning of PID, increase the accuracy of the temperature control, and are practical in the PLC temperature control system.
Application of TiO2 Catalyst for Low-Temperature SCR of NOx in New Style PC Kiln
Authors: Li Chun Ping
Published: June 2014

Low-temperature SCR denitration in new style PC kiln was conducted using TiO2 catalyst. First, the theoretical quantity of ammonia consumption was calculated and applied in this experiment. Maintain the volume of exhaust gas flow and ammonia consumption quantity, concentration of NOx reduced from initial 503 mg/Nm3 of 120°C to 57.5 mg/Nm3 of 170 °C after catalytic reaction. When excess ammonia was injected into SCR reactor, efficiency of the denigration increased linearly too with temperature increasing and achieving the maximum of 89.45% under conditions of 170 °C, ammonia flow rate of 4.00 SL/min. After 20h continuous operating, efficiency of the denigration fluctuated ± 1% only. Pore of TiO2 catalyst have not blocked by exhaust smoke, that is to say: Low-temperature SCR TiO2 catalyst can be long-term used in new style PC kiln.
The Analysis and Improvement Measures on Green Impact of CNC Machine Tool Spindle System
Authors: Zhu Xiu Rong , Wang Gui Ping
Published: June 2014

In order to study the greenness of CNC machine tool, the influence greenness on fault information of CNC machine tools main shaft system was analyzed. According to the fault characteristics and green evaluation index, the failure influence degree of spindle system to the surrounding environment, people's physical and mental health was analyzed in the aspects of environment, human and economic by combining fuzzy evaluation with fault analysis. The main factors affecting its green were found out, the failure reasons were analyzed, and measurement improvements were suggested. The greenness was analyzed before and after improvement. The results show that the failure rate of the improved main shaft system reduces greatly and the green level is improved significantly. The comprehensive evaluation score of green degree is increased from 55.62 to 64.87, and the green product is obtained.
The Effects of Nucleation on Soot Dynamic Evolution Based on the Method of Moments
Authors: Liu Jin Ping , Wei Ming Rui , Xiao He Lin , Peng Fei
Published: June 2014

The mathematical model of soot dynamical evolution process is built based on the discrete particles population balance theory, including particle nucleation, collision coagulation, oxidation and surface growth processes; a corresponding numerical model is established using Lagrange interpolation method of moments. Based on the perfectly-stirred reactor combustion model, coupled the numerical model with detailed chemical kinetic model. The computing platform of soot particle growth evolution is established. Meanwhile, three nucleation models are built for the soot nucleation in this paper. Two chemical reaction mechanisms are used to study different fuels combustion process. The related information of soot particle growth evolution is obtained, the effect of different nucleation model on other dynamical events such as coagulation, oxidation and surface growth processes is discussed.
Experimental Research on the Stiffness of Gravel Cushion with the Influence of Geogrid
Authors: Huang Li Sheng , He Jie
Published: June 2014

To study the influence law of Geogrid’s effects on the stiffness of grave cushion, cushions of nine different kinds are designed and are carried out static load test of model respectively. The effects of different thickness of cushion layer , different geogrid layers and different laying position of gravel cushion layer on gravel cushion and reinforced grave cushion modulus of deformation are analyzed through the experimental results. Results show that ,under other fixed condition ,modulus of deformation of grave cushion is bigger than that of pure grave cushion layer, and the modulus of deformation of thinner layer of grave cushion is increased much higher; modulus of deformation of the gravel cushion layer of geogrid is increased along with the thinner layer, added gravel cushion layers of geogrid and the move up of the position; the effects of the location of geogrids on cushion modulus of deformation decreases with the increase of the grating layer. Research results provide a referential basis for the optimization design for reinforcement pads in composite foundations.
Rock Pressure Activity Regularly due to Underground Mining of the Deep Phosphorus Ore with Several Inclination by Similar Material Simulating Experiment
Authors: Li Xiao Shuang , Li Yao Ji , Wang Meng Lai , Hu Shu
Published: June 2014

On basis of the geology mining condition of the deep ore bodies of north mining area of Two-hang hau of Jingning mine of Yunnan phosphate group Co. Ltd, the strata behavior regularity of the working-face in the process of underground mining was systematic research with the dip angle of twenty degreen and fity degren. The result showed that:(1) after the underground mining of the phosphorus ore , the stress bearing of the excavation phosphate rock transfer to the surrounding rock mass, the initial rock stress was disturbated, this process has been extend outward with the expansion of the excavation space, deformation and failure problems has been happened, and the new stress equilibrium will be formed in the last, mined-out area was formed after ore body,s excavation, near the gob roof area formated stress unloading area, stress formed in certain areas ahead of the stope roof pressurization district, with the excavation of the ore bodies, the roof stress pressurization district dynamic forward position, the pressurization district scope and degree of pressure also decreases as the excavation scope of mined-out area space and gradually increase, and is located in the rear area of the stope deformation of old goaf roof damage fracture belt and the abscission zone was gradually closed. and in the mined-out area space range after reaching a certain size tends to be stable,then recovery section stress and to support its upper part of the gravity of overburden rock. (2)As the orebody dip Angle increases, the same excavation space range, goaf in front of the maximum stress concentration factor was reduced, unloading of overburden rock and concentrated area of the whole range becamed smaller, the rock pressure activity becamed easing as a whole. Relevant results can provide Yunnan phosphate group co., LTD., subordinate to the mines and mining under similar conditions of phosphate rock mountain project to provide certain reference basis.
Thermal Deformation Analysis on Joint-Locking Device Used in Space Deployable Equipment
Authors: Yuan Bao Feng , Gao Sheng , Li Xiao
Published: June 2014

The joint-locking device is an important component used to lock some equipments in the satellite. In this paper, a joint-locking device is designed to lock the deployable equipment in the satellite. The working principle of its locking mechanism is analyzed, exhibiting such characteristics as light weight, small dimensions and strong locking ability. Thermal deformation analysis on the joint-locking device is conducted using finite element method. The simulation results show that the joint-locking device possesses high thermal stability and can meet design requirements.
Mechanical Properties Research Based on Snowplow Operation Device
Authors: Liu Yu Fei , Dong Zhen Zhen , Chen Wei Zheng , Li Guang Zhi
Published: June 2014

In this paper, combining with the domestic design and application of the snowplow in quality and quantity two aspects, basing on engineering application software ADAMS and CATIA, dynamics for 10t snowplow working device was researched, and the strength of the main stress components was analyzed by finite element method. On the basis of lightweight, strength and structure reasonable design, the snowplow device structure was verified feasibility through the research results. The paper studies could have a certain theoretical reference for the theoretical design and practical application of similar products.
Energy Extraction from Carbon Ash Burning with Fluidized Bed Gasifier
Authors: Chen Kuo Wei
Published: June 2014

Disposal of such high-Oil content (up to 8%-23%) waste (Carbon ash) troubles the Waste tire resource plant. The Fluidized bed Gasifier medium (SiO2 in Common) possesses the strong ability of heat reservation that makes the high-oil content waste pre-drying. In addition, the utilization of absorbed-Molecular sieves can get rid of generated. It is applicable to direct gasification pyrolysis of Carbon ash, Due to its collective characteristics of pre-drying, pyrolysis and clean of pollutant.
This research was devoted to study the feasibility for self-sustained combustion of high-oil content ZKHN Waste tire pyrolysis waste by Scrolling-Type Fluidized bed Gasifier. Research results indicate that the suitable for operating temperature is about 370°C with about 150 pa Pressure difference and 82.9% burning efficiency for self-sustained gasification of carbon ash. In other words, the oil content must be controlled below 26%. The volatile gases and organic solvents of participates can be neglected. The emission of CO was an Important issue, but can be suppressed by best regulation some factors that are operating temperature, axial temperature distribution, primary air & excess air. These factors influence the results of this study.
Online Measurement Experiment and Data Analysis of the Slideway Straightness Motion Error for CMM
Authors: Wang Fei Fei , He Wei Ming
Published: June 2014

The paper introduces the principle of the sequential two points (STP) method, using the error separation technique to isolate slideway straightness error and workpiece straightness error, by means of measurement and data analysis to study the slideway straightness error. Using least square method for fitting to improve the accuracy of three coordinate measuring machine. Last to assess and maintain the accuracy of the measurement machine.
Mechanical Seal Condition Monitoring Technology Research
Authors: Zhang Zhi , Chen Kan , Zhang Er Qing , Fu Pan
Published: June 2014

Since the measurement of mechanical seals film thickness is difficult, the condition monitoring method based on empirical mode decomposition (EMD) is proposed. EMD is a time-frequency analysis method. It is adaptive and does not need predefined decomposition basis function. The AE signal is decomposed into a series of Intrinsic mode function (IMF) with independent characteristics of different time scales and different frequency band. It is realized that the mechanical seal contact status is accurately identified through extracting the feature of correlation coefficient which is calculated between original AE signal and multi-scale Laplace wavelet.
Recent Progress of Shannon Sampling Theory with Applications
Authors: Long Jing Fan , Han Yong Jie , Ye Pei Xin
Published: June 2014

Errors appear when the Shannon sampling series is applied to approximate a signal in practice since the measured sampled values are usually given by averages of a function or the sampled values with amplitude error and time-jitter error. In this paper we give a survey of recent progress of the study of error analysismulti-dimensional Whittaker-Shannon sampling expansion approximations with these measured values.
The Motion Simulation of the Crawling Phenomenon of CNC Machine Tool
Authors: Yin Ming , Cheng Wen Tong , Bai Li Juan , Guo Lan Lan
Published: June 2014

NC machine crawling often happens in the mechanical part and feed servo system, because crawling phenomenon often depends on the characteristics of mechanical transmission parts when NC machine is in a low speed. Because of the insufficient transmission stiffness of machine tool, crawling appears when the difference of static and dynamic friction coefficient is huge and damped oscillations of friction pairs are small. This paper establishes the models of physics and mathematics. It can conclude the main reasons for crawling through theoretical analysis and numerical simulation of machine movement components, and put forward measures to avoid crawling.
Natural Carbonation of Thermally Damaged Cement Mortar Studied by Thermogravimetric Analysis
Authors: Pham Son Tung , Prince William
Published: June 2014

The objective of this study was to examine the natural carbonation that occurs during the cooling of thermally damaged cement mortar. Thermogravimetric analysis was used to follow mineralogical changes of CEM II mortar which was treated at different temperatures from 105 to 500°C. The results showed that, during the cooling to ambient temperature, by capturing CO2 from atmosphere the cement mortar tends to gain calcium carbonate from the loss of portlandite which was caused by heat treatment. This natural carbonation process allows the thermally damaged mortar to autonomously generate self-healing effect so that it can regain the initial properties.
Flatness Assessment System of Ultra-Wide Tandem Cold Rolling Mill
Authors: Bao Ren Ren , Zhang Jie , Li Hong Bo , Wang Jun , Chu Yu Gang , Li Ming Gang
Published: June 2014

Many complex waviness defects occur during the production process of ultra wide TCMs, flatness idex I can not meet the demands of analyzing these problems. Therefore flatness pattern recognition considering cubic patterns is introduced to provide a flatness evaluation parameter. Combining the calculation methods and statistical methods of evaluation parameters, a flatness assessment system is programmed with Matlab GUI, which provides functions such as representing the flatness of previous strips, recognizing the flatness error and making statistics. After verifying of actual flatness measured value, the system is proved to be effective, which provides theoretical basis and data support for mastering the flatness quality and optimizing flatness control parameters.
De-Noising Method for Partial Discharge Signal Based on Wavelet Transform and Partial Differential Equation
Authors: Zhang Jian , Mo Fu Jiang , Yao Feng , Wang Xiao Jian
Published: June 2014

In order to solve the noise suppression problem in partial discharge (PD) signals detection, this paper proposes a de-noising method based on wavelet transform and partial differential equation (PDE). Compared the effect of proposed method with traditional wavelet threshold de-noising method, simulation and calculation results both show that paper’s method can remove the interference signal, retain the better edge detail of signal and low distortion when taking the appropriate iteration times.
Distribution System Fault Recovery with Undispatchable Distributed Generations
Authors: Xu Nan , Li Shan Shan , Liu Hao Ming
Published: June 2014

Considering the probabilistic of the wind power and the solar power, a fault recovery method for distribution systems with the wind power and the solar power is presented in this paper. For the wind power, a simplified steady-state equivalent model of an asynchronous wind generator is added into the Jacobian matrix to consider the impact of the wind power on systems. For the solar power, its output is considered as an injected power which is related with solar irradiance. Three-point estimate is employed to solve the probabilistic power flow of distribution systems with the wind power and the solar power. The restoration is described as a multi-objective problem with the mean of the system loss and the number of switch operations. Fast elitist non-dominated sorting partheno-genetic algorithm is used to solve this multi-objective problem. IEEE 33-bus system is used as an example and the results show that the models and algorithms in this paper are efficient.
Regulator Circuit Transformer Voltage-Second Product Analysis
Authors: Zhang Chi , He Ming Zhi
Published: June 2014

With the continuous development of power electronic technology, the advantages of thyristor power regulator circuit gradually get more and more applications. It improves the quality of power supply, makes the equipment efficiency and power factor higher and so saves a lot of electricity. Through the calculation of the primary current when thyristor turns off in three-phase power regulator circuit with transformer load, the impact of the thyristors turn-off order on the transformer primary current voltage-second product is analysised, and through simulation the exactness is verified.
Research on Control Method of Hybrid Energy Storage System in Field of Distributed Generation
Authors: Wang Zhong Ce
Published: June 2014

Super capacitor and batteries are designed based on the power converter. A control strategy of single zero-pole with variable gain is proposed in order to eliminate the affect of changes of super capacitor voltage on the system. It controls the discharge current of battery directly to let the current constant. Through the analysis the bode diagram of Open-loop system, stability and dynamic performance of the control system was demonstrate. Simulation result shows that the parallel control system can effectively optimize the battery discharge process and achieve complementary of the advantages two energy storage components.
Decoupling Control of Three Degrees of Freedom Hybrid Magnetic Bearing Based on LS-SVM
Authors: Li Yuan Yuan , Zhu Huang Qiu
Published: June 2014

In the paper, the decoupling control method based on least square support vector machine (LS-SVM) inverse system is proposed, and adopting the method realizes decoupling control of an AC-DC three degrees of freedom hybrid magnetic bearing (AC-DC-3DOF-HMB). Aimed at the complicated multivariate nonlinear, strong coupling system of the AC-DC-3DOF-HMB, the reversibility of original system was analyzed, by the ability of least square support vector machines (LS-SVM) in universal approximation and identification fitting to get inverse model of AC-DC three degrees of freedom hybrid magnetic bearing. Then according to the basic principle of inverse system method, the inverse system was connected with the original system. So the complex nonlinear multivariable system is decoupled into three independent pseudo-linear system. The simulation results show that the system was decoupled; the hybrid control method has good dynamic and static performance, verify the feasibility of the proposed control method.
Analysis and Control of Internal Flow Induced Noise of Rotor Oil Pump
Authors: Cai Hao , Li Jian , Yu Li Ping , Liu Ya Fei , Geng Yu He
Published: June 2014

The fluid noise of rotor oil pump is studied in this paper, and the turbulent and flow sound field model of rotor oil pump are built. Based on CFD software, three dimensional unsteady internal flow field numerical simulation of some type rotor oil pump is carried out. And, the velocity and pressure simulation results at different speeds are obtained. Based on acoustic finite element and infinite element method, CFD software and acoustic solver software are used to simulate the flow induced noise of rotor oil pump. And, the sound pressure level values of monitor points in the pump are obtained. This paper puts forward some methods to reduce noise, and the experiment shows these methods can reduce the flow noise effectively.
Optimization on Hardware Inventory of the Steel Pipe Enterprise Based on Cluster-Algorithm
Authors: Yang Zhong Qing , Dong Shao Hua , Li Cheng Wei
Published: June 2014

Based on the existing data accumulation and process of stock management of a Steel pipe enterprise, a general analysis for its current inventory structure is done, then a classification research for hardware inventory is done with the theory of cluster-algorithm. Finally, a visualizing stock query function which is the main contribution of this paper is developed based on the research above.
Research on the Gerschgorin Radii Estimator Based on Real-Valued Decomposition Technique in Picosatellites
Authors: Tang Jie , Fan Mao Jun , Hu Jun
Published: June 2014

In order to reduce the computational burden, real-valued decomposition technique is applied in picosat positioning. Through converting the correlation matrix to real-valued matrix, the real-valued decomposition technique not only reduces the computer burden of matrix decomposition, but also makes the correlation matrix more close to Toeplitz matrix through a forward-backward smoothing. Simulations confirm that the real-valued Gerschgorin Radii shows an improved performance.
Study on Optimization of Numerical Simulation for Smooth Blasting Parameters in Xishimen Iron Mine
Authors: Qi Jian Dong , Wang Pei , Gao Yong Tao , Jiang Zhong An
Published: June 2014

In order to make normal rock avalanche but not have significant impact on other parts of surrounding rock and produce evident deformation in the process of blasting heading, the basic mechanical property of rocks in Xishimen Iron Mine was taken as example to analyze. The process of coupling charge blasting in the surrounding holes of smooth blasting was simulated by applying the finite element numerical simulation software ANSYS/ LS-DYNA. The result shows that the surrounding rock has smallest stress and spall normally when borehole spacing of surrounding holes is 0.6m, thus boosting the efficiency of smooth blasting.