Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Machining Parameters on Turning of Hybrid Metal Matrix Composite

Hybrid metal matrix composite constitutes a tough metal matrix with reinforcement of at least two ceramic particulates and exhibit superior mechanical and thermal properties. The difficulties in machining metal matrix composites are obtaining good surface finish, consumption of more electrical power, involving excessive cutting forces and greater tool wear as it contain very hard ceramic particulates. This factor restrict the wide spread application of these kind of materials. Hence the study of machining characteristics and the optimization of the cutting parameters are prime importance. In this paper aluminium alloy is taken as metal matrix and the silicon carbide (SiC 10% by wt.) and boron carbide (B4C 5% by wt.) taken as ceramic reinforcement. This material is fabricated in the form of cylindrical rod using stir casting method. Turning operations are carried out in medium duty lathe using poly crystalline diamond (PCD) cutting tool insert. Taguchis design of L09 orthogonal array is followed selecting three machining factors namely cutting speed, feed and depth of cut at three levels. Optimal cutting conditions are arrived by Signal-Noise ratio method with respect to surface roughness. The results are validated by (ANOVA) analysis of variance and the percentage of contribution of cutting speed, feed rate and depth of cut for better surface finish are determined and it is found that the vital parameter is feed followed by cutting speed and then by depth of cut.
Optimal selection of beam orientations in intensity-modulated radiation therapy

Radiation therapy is a common and important treatment for some specific tumors in the treatment of cancer. In recent years, there has been a new development in radiation therapy, intensity-modulated radiation therapy (IMRT). IMRT modulates the intensity of the radiation beam to focus a higher radiation dose on the tumor while minimizing radiation exposure to surrounding normal tissues. This study aims to investigate the optimal selection of beam angles. Besides limiting the radiation dose to the tumor and the adjacent organs, we also take the dose distribution into consideration and optimize the beam angles and beam intensity maps simultaneously. Compared with the typical equi-spaced model, our proposed approach can provide optimal beam configuration to help physicians in decision-making.
Rubberized Geopolymer Concrete: Application of Taguchi Method for Various Factors

The effect of different factors on the compressive strength of fly ash based rubberized geopolymer concrete has been established using Taguchi method. The factors include alkaline solution/fly ash ratio; ratio of Na2SiO3 /NaOH, molarity concentration of NaOH, temperature of curing, time period for curing, water content, rest period and amount of superplasticizer as an additional material are considered. Total twenty-seven experiments have been conducted in accordance with Taguchi orthogonal array L27. Different mixtures of the fly ash based rubberized geopolymer concrete have been examined for compressive strength at seven days. ANOVA (Variance Analysis) method was used to evaluate the influence of each factor and to identify the test mixture with the highest compressive resistance. The results of experiments show that the alkaline-to-fly ash mixture is 0.35, Na2SiO3 /NaOH 2.5, 14 M NaOH, 90°C temperature for curing, 48-hour curing time, 20% water content, 1 day resting period, and 2 percent addition of superplasticizer acquires the greatest compression strength of 59.08 MPa. The curing temperature was also identified as the main factor influencing a rubberized fly ash-based geopolymer concrete's compression strength.
Reservoir‐System Simulation and Optimization Models

A broad array of computer models has been developed for evaluating reservoir operations. Selecting a modeling and analysis approach for a particular application depends upon the characteristics of the application, the analysis capabilities provided by alternative models, and the background and preferences of the analysts. The objective of the paper is to contribute to ongoing efforts throughout the water-management community in sorting through the numerous reservoir-system analysis models and better understanding which methods might be most useful in various types of decision-support situations. Models are inventoried and compared from a general overview perspective, with an emphasis on practical applications. Considerations in formulating a modeling approach are outlined.
Quasi-optical HEMT and MESFET self-oscillating mixers

Planar quasi-optical receivers that compactly integrate a coupled slot antenna and a HEMT or MESFET balanced self-oscillating mixer and on the same substrate for applications in microwave and millimeter-wave receiver arrays are discussed. Both the HEMT and the MESFET circuit are designed and demonstrated at X-band. The HEMT circuit exhibits an isotropic conversion gain of 4.5 dB and a noise figure of 6.5 dB. The isotropic conversion gain of the HEMT circuit is 7.5 dB higher than the mixer diode circuit previously reported. >
Characterisation of a pneumatic muscle test station with two dynamic plants in cascade

Pneumatic muscle actuators (PMAs) offer significant advantages over more traditional actuators, which make them prime candidates in rehabilitation devices. A dynamic test station (DTS) is modified to demonstrate the use of a PMA for this application. The DTS includes two dynamic systems: a PMA and a DC servomotor. An overall transfer function was developed utilising characterisation data for the PMA and DC servomotor. A Tustin (bilinear) transform was performed on the overall transfer function to obtain a discrete time system. Model parameters were optimised and used to generate input voltage profiles that achieve isokinetic (constant velocity) task specifications. Percent root mean square error values (PRMSE) between the actual and ideal profiles were used to evaluate the accuracy of this method in achieving isokinetic displacement. For PMA pressures (in kPa) of 150, 350 and 550 PRMSE were 7.80, 5.40 and 2.76, respectively.
Large-bandwidth flat cylindrical array with circular polarisation and omnidirectional radiation

Experimental properties of a flat cylindrical array with circular polarisation and omnidirectional radiation are presented. The thickness of the array wrapped on a perfect conducting cylinder is 0. 04λ0. A bandwidth of 10% has been obtained. It is now possible to decrease the thickness by a factor 2 (i.e. to 0.02λ0), when using a short-circuited elementary source instead of a flat folded dipole, and yet retain the same band-width.
Study on the Cable Crosstalk of Ship Cabin

The mechanism of cable crosstalk involving what and how does the factors affect the level of crosstalk is introduced in detail. A transmission line model for predicting crosstalk between power cable and the other wires nearby with common reference ground based on multiconductor transmission theory (MTL) is developed. Crosstalk among circuit configurations when the victim cables with load terminations are different types is analyzed and simulated. Models where the types of the victim lines are shielded coaxial cable, shielded twisted pair and unshielded twisted pair are simulated. It is found that the shielding can provide an attenuation of about 50dB than the unshielded cables. In addition, the condition of multi-cable coupling is simulated and some thoughts are brought out to inspire more detailed study. Finally, some measures are suggested to suppress the crosstalk between cables according to the two-type of coupling mechanism (inductive coupling and capacitive coupling).
Research of Automotive Controller Area Network Bus Detection System

The detection method of automotive controller area network bus is studied in this paper. The composition of detection system is introduced. By analyzing and processing the data of CAN bus and sensors, work condition of automotive is achieved. Multi-pattern data fusion model and algorithm for failure diagnosis is researched. The detection system designed in this paper can be applied to automotive fault analysis, troubleshooting and maintenance.
System reliability analysis of the external stability of reinforced soil structures

A probabilistic model is formulated in order to assess the reliability of the external stability of reinforced soil structures, in the presence of geotechnical and material uncertainty. Three modes of failure are taken into account (bearing capacity, sliding and excessive eccentricity) and overall stability is modelled as an in-series system. Geomaterial shear strength properties are modelled as beta-distributed random variables and system reliability is computed using a Monte Carlo simulation algorithm that does not require arbitrary assumptions of independence between potential failure modes. Dependency between failure modes is evaluated in terms of coefficients of linear correlation. As an illustration of the developed methodology, a case example is analysed and results are discussed in the context of system reliability analysis. For this example, the results demonstrate that the bearing capacity failure mode is subjected to a higher degree of uncertainty, compared to sliding and excessive eccentricity. The computed system probability of failure indicates that commonly accepted simplifications of complete independence or perfect correlation between the failure modes (expressed through first-order reliability bounds) may not be appropriate, particularly when the reliability bounds are not close to each other. On the other hand, the second-order reliability bounds seem to accurately reflect the computed system probability of failure. Finally, in the present study, the results indicate that ignoring the cross-correlation between the shear strength parameters has an impact on the computed system probability of failure.
Interference Can Affect Response Times to False Items in Category Verification

Previous research has found faster response times in category verification tasks to false stimuli pairing highly similar coordinate concepts (“pea—bean”) than to false stimuli pairing less similar coordinate concepts (“pea—onion”). Such a finding indicates that knowledge of which concepts are coordinate to one another is represented within a semantic network. However, the finding has not been entirely consistent. One reason for that inconsistency may be that the faster retrieval of a coordinate association between highly related words is offset by hesitancy on the part of participants to make a “false” response to strongly related stimuli. To test this hypothesis, termed the relation-strength interference hypothesis, participants served in two conditions. In the Similarity condition, they judged whether pairs of words were semantically similar. In the Classification condition, they judged whether pairs of words exhibited a class-inclusion relation “pea—vegetable”) or a coordinate relation. Both conditions included both coordinate items and class-inclusion items. Latencies were longer in the Classification condition than in the Similarity condition. The increase in latency in the Classification condition relative to the Similarity condition, however, was the same for coordinate items as for class-inclusion items, a finding consistent with the relation-strength interference hypothesis.
Coupling between two parallel long-period fibre gratings

The authors demonstrate both theoretically and experimentally that light coupling can take place effectively between two parallel identical long-period optical fibre gratings. In principle, a high coupling efficiency (up to a few tens percent) is possible by using proper grating designs and an index-matching external medium. This coupling mechanism shows great promise for the development of all-fibre optical devices, such as add/drop multiplexers and tunable couplers.
Coupling electric circuit and 2D-FEM model with Dommel's approach for transient analysis [of EM devices]

Dommel's approach applied to simulate the electrical parameters in a transient analysis of electromagnetic devices, such as electrical machines and transformers, is presented in this paper. Equations of electric circuit and equations of magnetic fields are taken into account by simultaneously coupling nodal analysis and 2D FEM. The inductances and capacitances are treated like one-dimensional finite elements leading to a symmetrical matrix solved by a step-by-step technique. The formulation was validated by comparing numerical results and experimental data.
A Trend Analysis of Dynamic Chair and Applied Technology

Objective: The objective of this study was to define the Dynamic Sitting (DS) through trend analysis and research on the Dynamic Chair (DC) and applied technologies. Background: The effects of changing posture on the human body have been studied to find out healthy sitting postures. It is believed that changing posture is effective in reducing disc pressure on spinal cord and preventing back pain and musculoskeletal disease. But, the definition of DS and trends of DC have not been researched yet. Therefore, trend analysis of DC and its applied technologies are required to define dynamic sitting posture. Method: We researched the type of occupant postures from previous studies. And then, sitting behaviors were classified into three types; (1) sitting and standing, (2) working and studying, (3) taking a rest. Results: Variety shapes of DC and applied technologies were found out. From the result, the trend of DC and applied technology were summarized from three perspectives. ; (1) changing the chair functions according to user"s intention, (2) conversion of dynamic chair technologies to office chair mechanism, (3) enables the user to change their sitting posture without operating control device. Conclusion: From this study, we defined dynamic sitting posture and analyzed the trend of DC and its applied technologies. This result might be used to develop an office chair for healthy sitting. But further investigation is required to figure out the technologies and functions for development of healthy chair. Application: The results of the publishing trend analysis might help to determine design concept of office chair.
Life Prediction of Rolling Bearing Using Genetic Algorithm

Rolling bearing is the most part used in rotating machinery of industrial plant. The condition diagnosis technology of rolling bearing is very important and indispensable for the plant safety and operation stability. The purpose of this study is to improve the accuracy of the life prediction for a rolling bearing. The paper proposes a searching method for the optimum mathematic function for the high accurate prediction by using the genetic algorithms (GA).
Vision‐based tracking and control of remotely controlled vehicles

Describes the current research into vision‐based control of remotely controlled vehicles. The research at Robotics and Mechatronics Research Laboratory (RMRL), Monash University, Australia, aims to establish the foundation for future studies in control actions on levers and joysticks for guiding remotely operated vehicles. Use is made of a remote‐controlled car which is tracked by an overhead camera. A frame grabber is utilized to process the images and pass the necessary information about the relative position of the vehicle to the computer. Two servo‐driven mechanical arms are controlled to move the joysticks on the remote control unit. Focuses attention on simplified strategies for tracking and the subsequent control of such vehicles. Describes experimental facility comprising of the mechatronic components and their integration within this research‐based apparatus. Also presents future work in this area.
Fiber nonlinearity compensation by digital backpropagation of an entire 1.2-Tb/s superchannel using a full-field spectrally-sliced receiver

We receive the full optical field of a 176-GHz wide, 1.2-Tb/s PDM-16QAM superchannel after 960-km TWRS using a spectrally-sliced coherent receiver. Simultaneous compensation of SPM and XPM with digital backpropagation enables 1 dB of Q-factor improvement.
Machine learning for real time remote detection

Infrared systems are key to providing enhanced capability to military forces such as automatic control of threats and prevention from air, naval and ground attacks. Key requirements for such a system to produce operational benefits are real-time processing as well as high efficiency in terms of detection and false alarm rate. These are serious issues since the system must deal with a large number of objects and categories to be recognized (small vehicles, armored vehicles, planes, buildings, etc.). Statistical learning based algorithms are promising candidates to meet these requirements when using selected discriminant features and real-time implementation. This paper proposes a new decision architecture benefiting from recent advances in machine learning by using an effective method for level set estimation. While building decision function, the proposed approach performs variable selection based on a discriminative criterion. Moreover, the use of level set makes it possible to manage rejection of unknown or ambiguous objects thus preserving the false alarm rate. Experimental evidences reported on real world infrared images demonstrate the validity of our approach.
Low-profile inverted-F antenna with parasitic elements on an infinite ground plane

An inverted-F antenna (IFA) whose height is approximately one-tenth of the wavelength is analysed in the presence of a single parasitic element. The resonance phenomena of the parasitic element and IFA are investigated. Based on this investigation, an IFA with a pair of parasitic elements is fabricated and analysed. It is found that the lower and higher resonance frequencies are independently determined by the parasitic element length and the IFA inner length, respectively. The independent resonance phenomena lead to the enhancement of the VSWR frequency bandwidth. A 26% VSWR frequency bandwidth, which is more than three times as wide as that of a conventional inverted-F antenna without parasitic elements, is realised. The radiation pattern and gain are also presented and discussed.
An adaptive framework for aligning (re)planning decisions on supply chain strategy, design, tactics, and operations

Over the last decade, a wealth of valuable approaches to supply chain strategic, tactical, and operational planning has been extensively developed. However, conventionally the planning decisions at each of these levels have been considered in isolation from the other levels. Moreover, decisions on supply chain strategy, design, tactics, and operations are interlinked and dispersed over different supply chain structures (functional, organisational, informational, financial, etc.). This study develops a framework to increase the efficiency, consistency, implacability, and sustainability of decisions on how to design, plan, and run supply chains. In this paper it is proposed that comprehensive planning as an adaptive process encapsulates the planning decisions to be interrelated at all the decision-making levels. A conceptual model is described interlinking the supply chain strategy, design, planning, and operations on adaptation principles. Subsequently, a mathematical modelling complex and its realisation in a software environment is presented. This study contributes to developing methodical basics and practical tools to transit from simple open time slots incremental planning to dynamic, feedback-based adaptive supply chain planning. The elaborated framework serves to increase the efficiency, consistency, implacability, and sustainability of decisions on supply chain strategy, design, tactics, and operations. Decisions alignment can help to increase the wealth of organisations by producing demand-corresponding products in the most cost-effective manner through increasing agility, responsiveness, reaction speed to market changes, and continuous comprehensive improvements/adaptation of supply chains.
Comparison of roll-to-roll replication approaches for microfluidic and optical functions in lab-on-a-chip diagnostic devices

Economically advantageous microfabrication technologies for lab-on-a-chip diagnostic devices substituting commonly used glass etching or injection molding processes are one of the key enablers for the emerging market of microfluidic devices. On-site detection in fields of life sciences, point of care diagnostics and environmental analysis requires compact, disposable and highly functionalized systems. Roll-to-roll production as a high volume process has become the emerging fabrication technology for integrated, complex high technology products within recent years (e.g. fuel cells). Differently functionalized polymer films enable researchers to create a new generation of lab-on-a-chip devices by combining electronic, microfluidic and optical functions in multilayer architecture. For replication of microfluidic and optical functions via roll-to-roll production process competitive approaches are available. One of them is to imprint fluidic channels and optical structures of micro- or nanometer scale from embossing rollers into ultraviolet (UV) curable lacquers on polymer substrates. Depending on dimension, shape and quantity of those structures there are alternative manufacturing technologies for the embossing roller. Ultra-precise diamond turning, electroforming or casting polymer materials are used either for direct structuring or manufacturing of roller sleeves. Mastering methods are selected for application considering replication quality required and structure complexity. Criteria for the replication quality are surface roughness and contour accuracy. Structure complexity is evaluated by shapes producible (e.g. linear, circular) and aspect ratio. Costs for the mastering process and structure lifetime are major cost factors. The alternative replication approaches are introduced and analyzed corresponding to the criteria presented. Advantages and drawbacks of each technology are discussed and exemplary applications are presented.
Capacity Value of Wind Plants and Overview of U.S. Experience (Presentation)

This presentation provides an overview and summary of the capacity value of wind power plants, based primarily on the U.S. experience. Resource adequacy assessment should explicitly consider risk. Effective load carrying capability (ELCC) captures each generators contribution to resource adequacy. On their own, reserve margin targets as a percent of peak can't capture risks effectively. Recommend benchmarking reliability-based approaches with others.
Performance of a non-tapered 3D morphing wing with integrated compliant ribs

Morphing wings have a high potential for improving the performance and reducing the fuel consumption of modern aircraft. Thanks to its simplicity, the compliant belt-rib concept is regarded by the authors as a promising solution. Using the compliant rib designed by Hasse and Campanile as a starting point, a compliant morphing wing made of composite materials is designed. Innovative methods for optimal placing of the actuation and for the quantification of the morphing are used. The performance of the compliant morphing wing in terms of three-dimensional (3D) structural behaviour and aerodynamic properties, both two- and three-dimensional, is presented and discussed. The fundamental importance of considering 3D coupling effects in the determination of the performance of morphing aerofoils is shown.