bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Turning Parameters Using Taguchi’s Method and Artificial Bee Colony Algorithm
Authors: Bhor Yadnyesh , Kakuste Nikhil S , Gaynar Shreyash 
Published: May 2020

Abstract
Manufacturing industries are in need of various methods for obtaining the specified output parameters of a product. To fulfil such parameters in accordance to the specification, it is essential to quantitatively analyse the effect of each and every input functions on the output characteristics of the product. With ever increasing customer requirement in functionality and service of a product economically with predetermined quantity CNC machines are now finding application in majority of the industries to get further and better output on demand. In CNC machine, spindle speed, feed and depth of cut are most significant controllable parameters which majorly define the output characteristics of product like surface finish. Industries are now more interested in trends of optimization and automation which ease the process of overcoming constraints. This paper presents experimental study of such parameters of CNC turning centre to optimize the effect of cutting parameters on surface finish of mild steel material. The paper also illustrates how Artificial Bee Colony technique of optimization was used to achieve the results. The experiment is designed and performed by using concept of Design of Experiments (DOE).
Parametric review on Fuel Cells and their Applications
Authors: Shanbhag Sumeet , Joshi Girish 
Published: May 2020

Abstract
This study aims to review the issues affecting the long term performance and the life span of the fuel cell in accordance with the various surveys of the currently available. According to current research, parameters such as temperature, pressure along with other issues such as fuel and oxidant starvation (stoichiometric effect), corrosion, poor water management, humidity, and uncontrolled chemical reactions are some of the reasons leading to poor performance in the fuel cell. Poor water management can either lead to flooding or dehydration, both of which are extremely detrimental for the longevity of the fuel cell since the former facilitates corrosion of electrodes, membrane and catalyst layers whereas the latter leads to shrinkage of the membrane. Also, contamination of fuel cell membranes due to corrosion products or any impurities from outside leads to the poisoning of the cell. The construction of fuel cells in the future taking into consideration all these issues and mechanisms can lead to a performance-enhanced and long-lasting fuel cell.
Recent research status on modern friction materials-an Overview
Authors: Saindane Udaykumar V , Soni Sandeep , Menghani Jyoti V 
Published: May 2020

Abstract
Modern friction materials have application in automotive, aerospace and industrial brake systems. It should also possess various resistance to water and heat, low wear rate and high thermal stability, but It is quite impossible to achieve all this in practical conditions. To meet these requirements, composite friction materials have been designed often based on experience or a trial and error method to make a new formulations. Selection of Binders, fibers, fillers, and modifiers plays key role in deciding new formulation of friction composite. Listing out these ingredients from literature give rise to idea for selection of suitable ingredient of new formulation which can be acceptable worldwide. Inferences and discussions are drawn from fact revealed of modern friction materials. In this Paper, A through literature survey of work carried out so far in field of manufacturing and characterization of friction materials is presented. It reports various methods of evaluation of friction performance, thermal stability of test samples. Types of mechanical, physical, thermal, morphological properties of test samples are reported and optimum formulation among other test samples is predicted. This gives idea about friction materials which fulfills the need of future.
Remanufacturing Benefits: An Analysis of Recent Trends in Indian Context
Authors: Ahuja Vinay , Terkar Ravi 
Published: May 2020

Abstract
In the past years, remanufacturing processes have become a popular topic in the industrial area and has become one of the most effective and potential strategies for the “end of life” project management. Material restoration from end of life (EOL) items is the key to most of the remanufacturing processes that have discovered as of now. This paper talks about two case studies – 1. Indian Cartridge Remanufacturers. 2. Remanufacturing at Timken. Remanufactured products are high in demand and its relevance is growing currently due to various factors. This high demand in the market is due to its low price and remarkable functional quality. Remanufacturing is recognized only 10 and a half years back in India and hence hasn’t captured a very high market share compared to scenarios worldwide. Remanufacturing is a $35 Billion industry today and it justifies it cost just as it significantly increases the potential life of components by repair. In this research paper, the research work has studied the remanufacturing operation at Timken India Ltd. As well as their customers like Lafarge Cement, Tinplate Company of India and Usha Martin and has highlighted the advantages of remanufacturing.
Review of Micro cantilever sensors for detecting diseases: Fabrication Methodologies and sensing techniques
Authors: Devkare Sanket S , Bhole Kiran S 
Published: May 2020

Abstract
Recently Lab on chip devices are widely used for detecting various diseases. Cantilever being used as commonly among variety of sensors used on such chips. This paper presents review of various fabrication methodology and analysis techniques used in sensing diseases using micro-cantilever sensors. The principal aim in detecting diseases using blood sample is to know concentration of antigens or bacteria in sample. This also provides stage of disease in the patient. Various techniques such as ELISA (Enzyme Linked Immunosorbent Assay), Radio-Immuno Assay, X-ray are used for detecting the stages of disease. However, time required in these techniques is very large. To reduce the time in detection, simple micro cantilever Bio-sensor is used widely. For the purpose of detection, cantilevers are coated with antibody to attract the antigens from blood sample which is dropped on cantilever beam. Antigens that get adhered to the surface of cantilever thus develop a surface stress causes bending of cantilever. This redirection of the cantilever can be detected by various strategies and thus we can predict about the concentration of the antibodies in a particular blood sample. This paper exhaustively presents the fabrication methodology and disease detection technique using micro-cantilever.
Review on Mechanical, Thermal and Morphological Characterization of Hemp Fiber Composite
Authors: Sankhla Divyansh , Sancheti Mihir , Ramachandran M. 
Published: May 2020

Abstract
Hemp, (Cannabis sativa), also known as industrial hemp, a family plant of Cannabaceae cultivated for its fiber or edible seeds. Hemp is sometimes confused with cannabis plants that serve as sources of prescription weeds and preparation of hashish products. Although all three products— hemp, marijuana, and hashish — contain tetrahydrocannabinol (THC), a compound that induces psychoactive effects in humans, the cannabis variety grown for hemp has only small amounts of THC compared to that grown for marijuana or hashish growth. Bast fiber plants are distinguished by long slender primary fibers on the outer portion of the stem. Hemp grows in countries like Canada, USA, France, Hungary, Belgium, Holland, Thailand, Austria, Italy, China, and Philippine island, Russia, Mexico, Germany, West Indies and India. In this paper we analyze all these test on hemp Fibre- differential scanning Calorimetry test, scanning electron microscope test, tensile test, thermo gravimetric analysis and flexural test.
SonReb Method for Evaluation of Compressive Strength of Concrete
Authors: Chandak Narayan R , Kumavat Hemraj R 
Published: May 2020

Abstract
Ultrasonic Pulse Velocity (UPV) and Rebound Hammer (RH) are continually adopted methods by the researchers to assess the characteristics and to estimate the compressive strength of the concrete. As matrix of concrete is very complex, it’s obvious that the strength of concrete can be influenced due to even minor change in any of the factor. The factors that influenced the strength of concrete largely are the type and size of aggregates, cement content, physical and mechanical factors. To evaluate the compressive strength considering these factors with higher precision, UPV and RH methods are combined henceforth called SonReb. The results of testing of on-site casted cube samples and cores samples taken from the existing buildings in Pune, India are presented here. The application of the regression model to observe destructive and non-destructive testing were used through SonReb method to evaluate the reliability of concrete. Equations are obtained using multiple regression statistical analysis (MRSA) to access concrete compressive strength and the accuracy of the strength prediction technique is discussed in this paper. The regression curve of proposed model strongly consistent with the models suggested by Meynink, Ramyar et al. and Khedar et.al. It is also concluded that the results obtained from core are underestimate, which reflects the age factor when compared with the samples tested in laboratory. It is also seen that the regression coefficient of both the formulation are closely matching, which indicates no effect of age of samples tested. SonReb results seems to be more accurate and reliable than any individual test performed on the same samples.
Root cause analysis of newsprint waste using pareto analysis and cause and effect matrix
Authors: Varma Jatin H , Lal Sachin 
Published: May 2020

Abstract
The dynamic business environment has changed the mindset of printing industry, which enhanced the focus towards waste management as its critical issue in printing industry. Printing waste is also leading to financial loss and developing environmental issues. This scenario motivates to perform root cause analysis of newsprint waste, which can help to reduce waste and to improve the environmental conditions. In this paper, the root cause of newsprint waste is identified using Pareto analysis and cause and effect matrix. The result shows that web break between operation and the wrong roller setting are the root causes of newsprint waste. At the end of this study, few improvement measures are suggested and implemented for validating the improvement.
Survey of the emerging bio-inspired Unmanned Aerial Underwater Vehicles
Authors: Narayanan A. , Rajeshirke P. , Sharma A. , Pestonjamasp K. 
Published: May 2020

Abstract
Unmanned Aerial-Underwater Vehicles have been envisioned as a new kind of hybrid unmanned system capable of performing equally well in multiple mediums and seamlessly transitioning between them. Currently, bio inspired vehicles are leading the way in the development of such a vehicle, that can fly like an eagle and swim like a fish. This path-breaking amphibious aerial underwater vehicle is sought after because of its wide range of applications in military, commercial and civil environments. From aerial surveillance, deep water exploration to underwater non-destructive testing, this vehicle aims to do it all. However, the development of a fully functional version is hindered by the significantly different properties of air and water, considering the air water transition, different propulsion systems and stability underwater. We evaluate these available architectures that aim to accomplish the goal of creating a flawless multi-medium unmanned vehicle which has its limitations as one of the modes is dominant leaving the other to be at a lesser than expected measure. This paper presents a survey discussing the evolution of these systems by first looking at their parent systems and then evaluating the various existing types of UAUVs by understanding their working mechanisms. The paper aims to provide a comprehensive overview of the work done in the field so far which can provide direction to the further development of such vehicles.
Optimization of wear characteristics of PLA material reinforced with HAP nanoparticle by using taguchi technique
Authors: Agrawal Sumit R , Kulkarni Saili R 
Published: May 2020

Abstract
In the field of biomedical application, the polymer composite has been played a very challenging role and its used has been increasing since it possess good tribological properties when reinforce with appropriate material. In this regard, PLA (poly lactic acid) and it’s composite with HAP (Hydroxyapatite) was studied for its tribological behaviour which may be used as an implant material. PLA with varying percentage of HAP nanoparticles was examined on linear reciprocating tribometer under dry sliding test for specific wear rate. Design of experiment was based on Taguchi technique for optimizing specific wear rate parameter. In this study, effect of reinforcement and operating parameters that is load and frequency on tribological performance of PLA Nano composite was studied. ANOVA (Analysis of Variance) has been used to determine the influence of each parameter on wear characteristics. Regression analysis was used to establish a regression equation between all affecting parameters. The results shows that reinforcement plays a major role while load and frequency plays an average role on wear characteristic of PLA Nano composite. It was observed that PLA reinforced with HAP nanoparticle significantly improve wear characteristic up to 5% of reinforcement while beyond it, there is reverse nature of composite. The optimum parameter for wear rate were 5% reinforcement of HAP, 80 N of load, and 7 Hz frequency.
Review of effect of meso scale combustor wall material, Catalytic material, & Porous media on flame Stabilization
Authors: Jadhav Gajanan Z. , Gupta K K 
Published: May 2020

Abstract
In recent trends demand of energy for portable devices like notebook, microsatellite, laptops, UAV are increasing at high rate, a high energy density hydrocarbon fuel creates opportunity to alternate chemical Li-ion batteries with micro combustion based power generation system. Mainly, this review focus on experimental, mathematical modelling techniques, and numerical simulation performed on heat recirculating combustor to find the effect of combustor wall material, catalytic material and porous media. It also summarizes the electricity generation possibilities with micro combustor turbine, thermo electric material & thermo-photovolatic combustion system. The effect of combustor wall material, catalytic material, and porous media on flame stabilization are enlisted with its summary.
Adsorption of methylene blue onto natural Saudi Red Clay: isotherms, kinetics and thermodynamic studies
Authors: Khan Mohammad Ilyas 
Published: May 2020

Abstract
The current work investigates the adsorption behavior of methylene blue (MB) from aqueous solution using natural Saudi Red Clay (SRC) adsorbent. The surface characteristics of the adsorbent were investigated using surface area measurements (SBET), Scanning Electron Microscopy (SEM), X-ray florescence (XRF) and Fourier-Transform Infrared Spectroscopy (FTIR) and x-ray diffraction (XRD). Various process parameters such as pH, adsorbent dosage, initial dye concentration, contact time and temperature were investigated. MB removal efficiency was noticed to increase with increasing adsorbent dosage while the effect of pH was noticed to be insignificant for the pH range studied. Applying the Langmuir isotherm fitting to the experimental data, a maximum adsorption capacity was found to be 50.25 mg g−1 of clay at 298 K. Pseudo-first-order and pseudo-second-order models were applied to the experimental data to study the kinetics of the process. Pseudo-second-order model fitted well with the experimental as compared to the pseudo-first order model. The spontaneous and endothermic nature of the adsorption process was revealed by studying the thermodynamic parameters of the system. The positive ΔS° value indicates the affinity of MB molecules to the adsorbent surface. Re-usability/recycling study showed that this material can be successfully reused at least four times in this study without significant loss in the adsorption capabilities.
Evidence of band gap features in Fe3O4 Bbmm filled carbon nano-onions
Authors: Boi Filippo S , Ivaturi Sameera , Taallah Ayoub , Wang Shanling , Wen Jiqiu 
Published: May 2020

Abstract
A key challenge in the fabrication of ferromagnetically filled multilayer fullerenes (carbon nano-onions, CNOs) is the manipulation of the structure, composition and electronic band characteristics of both the carbon layers and encapsulated ferromagnetic material. Interestingly, a recent work has demonstrated that the addition of small quantities of water during the chemical vapour synthesis of Fe3C filled CNOs can allow the local manipulation of the Fe3C crystal-structure and induce the nucleation of a novel high pressure Bbmm Fe3O4 crystal-phase. In this report we propose an advanced study of such structural transition. Particularly, we investigate the morphological, optical (band-gap) characteristics and magnetic properties of the as produced CNO materials by using transmission electron microscopy, vibrating sample magnetometry, x-ray photoelectron spectroscopy and UV–vis spectroscopy.
Systematic study of shockley-read-hall and radiative recombination in GaN on Al2O3, freestanding GaN, and GaN on Si
Authors: Meyer J , Liu R , Schaller R D , Lee H-P , Bayram C 
Published: May 2020

Abstract
Here we study and correlate structural, electrical, and optical properties of three GaN samples: GaN grown by metalorganic chemical vapor deposition on sapphire (GaN/Al2O3), freestanding GaN crystals grown by the high nitrogen pressure solution method (HNPS GaN), and GaN grown by hydride vapor phase epitaxy on silicon (GaN/Si). Defect and impurity densities and carrier concentrations are quantified by x-ray diffraction, secondary mass ion spectroscopy, and Hall effect studies, respectively. Power-dependent photoluminescence measurements reveal GaN near-band-edge emissions from all samples having mixtures of free exciton and band-to-band transitions. Only the defect luminescence in the GaN/Si sample remains unsaturated, in contrast to those from the HNPS GaN and GaN/Al2O3 samples. Carrier lifetimes, extracted from time-resolved photoluminescence measurements, and internal quantum efficiencies, extracted from temperature-dependent photoluminescence measurements, are used to extract radiative and nonradiative lifetimes. Shockley–Read–Hall (A) and radiative recombination coefficients (B) are then calculated accordingly. Overall, the A coefficient is observed to be highly sensitive to the point defect density rather than dislocation density, as evidenced by three orders of magnitude reduction in threading dislocation density reducing the A coefficient by one order of magnitude only. The B coefficient, while comparable in the higher quality and lowly doped GaN/Al2O3 and HNPS GaN samples, was severely degraded in the GaN/Si sample due to high threading dislocation density and doping concentration.
Tolerance against conducting filament formation in nanosheet-derived titania thin films
Authors: Sato Masaya , Hara Masahiro , Funatsu Asami , Nouchi Ryo 
Published: May 2020

Abstract
Herein, titania thin films are fabricated by a facile liquid-phase method based on vacuum filtration of a colloidal suspension of titania nanosheets, which is followed by thermal annealing to transform the nanosheet film into anatase TiO2. Nanosheet-derived titania thin films exhibit poor resistive switching with an interface-type mechanism. This behaviour is distinct from the filamentary switching that has been observed with titania thin films fabricated by other conventional techniques. This tolerance against conducting-filament formation may be ascribed to a low concentration of oxygen vacancies in nanosheet-derived films, which is expected because of the O/Ti ratio of titania (Ti0.87O2) nanosheets being larger than that of TiO2. Besides, the dielectric breakdown strength of nanosheet-derived films is found to be comparable to or higher than that of titania thin films fabricated by other techniques. These findings clearly indicate the usefulness of nanosheet-derived titania thin films for dielectric applications.
Localizing Romeo and Juliet: Ram-Leela, Female Agency, and Indian Politics
Authors: García-Periago Rosa 
Published: May 2020

Abstract
This essay explores Goliyon Ki Rasleela Ram-Leela (dir. Sanjay Leela Bhansali, 2013), a Bollywood adaptation of Romeo and Juliet, from a local/political and female-centred angle. Bhansali’s Romeo and Juliet localizes and provincializes Romeo and Juliet by situating it in Gujarat with recognizable traditional dance numbers, and considerably mythologizes the hypotext1 by the prioritization given to festivals and the parallels between the leading pair and well-known Hindu divinities. But, localization is not exempt from problems in this film, for dance and Hindu myths are both markers of tension in modern-day India. The constant ambiguities they bring up inevitably point to the non-isomorphic flows that characterize the nation-state. This tension also finds its niche in the depiction of women in the film. Bhansali’s adaptation equally shows women that are oppressed—the girl in the item number (musical number inserted in the film) and the widows (neither finding a Shakespearean counterpart)—women that are at one and the same time oppressed and resistant (Dhankor Baa/Lady Capulet and Leela/Juliet), and some women showing signs of female agency at the end of the adaptation. National tensions find their counterpart in tensions that inform Ram-Leela as an adaptation: this is a work that is both a Shakespearean adaptation and a Bollywood film, the two forms interacting with each other in a unique combination. Ram-Leela not only provides new understandings of Romeo and Juliet and, ultimately, Shakespeare, but also of the contingencies and complexities of modern-day India.
Different molecular enumeration influences in deep learning: an example using aqueous solubility
Authors: Chen Jen-Hao , Tseng Yufeng Jane 
Published: May 2020

Abstract
Aqueous solubility is the key property driving many chemical and biological phenomena and impacts experimental and computational attempts to assess those phenomena. Accurate prediction of solubility is essential and challenging, even with modern computational algorithms. Fingerprint-based, feature-based and molecular graph-based representations have all been used with different deep learning methods for aqueous solubility prediction. It has been clearly demonstrated that different molecular representations impact the model prediction and explainability. In this work, we reviewed different representations and also focused on using graph and line notations for modeling. In general, one canonical chemical structure is used to represent one molecule when computing its properties. We carefully examined the commonly used simplified molecular-input line-entry specification (SMILES) notation representing a single molecule and proposed to use the full enumerations in SMILES to achieve better accuracy. A convolutional neural network (CNN) was used. The full enumeration of SMILES can improve the presentation of a molecule and describe the molecule with all possible angles. This CNN model can be very robust when dealing with large datasets since no additional explicit chemistry knowledge is necessary to predict the solubility. Also, traditionally it is hard to use a neural network to explain the contribution of chemical substructures to a single property. We demonstrated the use of attention in the decoding network to detect the part of a molecule that is relevant to solubility, which can be used to explain the contribution from the CNN.