MICRO-CRACK ANALYSIS IN THE STUDY OF FATIGUE FRACTURE IN THE HAZ IN THE HIGH YIELD STRENGTH MICRO-ALLOYED STEELS

Various applications have been described in the literature for the High-Strength and Low-Alloy steels (HSLA) industry, analysing their use both in industrial and marine equipment and machines and in structures that require appropriate resilience values and toughness at low temperatures. For successful operation under conditions as large structures under extreme service conditions, it is essential to ensure the proper toughness both in base metal (USITEN 355 0.5 Ni Grade I steel) and in the heat-affected area of the weld. (ZAC). This research carries out Crack Tip Opening Displacement (CTOD) tests, showing, in this article, the first part of the test corresponding to fatigue pre-cracking and a summary table of the results of fracture toughness, to guarantee that, under the conditions which exist in welding, both the fatigue fracture values and the fracture toughness are acceptable by the applicable standards. Keywords: SMAW, weld line, CTOD, stress intensity factor, input heat energy, crack growth rate, fatigue fracture, fracture toughness

A METHODOLOGY FOR CYBER HYGIENE IN SMART GRIDS

Although smart grids offer multiple advantages over traditional grids, there are still challenges to overcome to ensure the quality of service and grid security. In particular, cybersecurity plays an essential role in ensuring grid operation reliability and resilience to external threats. The traditional approach to address cybersecurity issues generally does not consider the human factor as the main component. Recently, the concept of cyber hygiene has emerged, where social and human aspects are fundamental to reduce vulnerabilities and the risk of attacks and breaches. In a similar manner to personal hygiene, which greatly influences people’s health, considering the human factor (i.e., human behaviour, awareness, and training) as a critical cybersecurity component, can significantly improve human operator cybersecurity practices that in turn can result in improved cybersecurity performance. In this paper, the authors propose and test a methodology for implementing cyber hygiene practices in the context of Smart Grid systems, focused on smart metering systems. The results suggest that implementing cyber hygiene practices can improve smart meter cybersecurity and be suitable for implementing other sensitive Smart Grid components. Key Words: Cybersecurity, Cyber Hygiene, Internet of Things, Smart Grid, Smart Meters.

MODELING THE BARRIERS OF SOCIAL DIMENSION IN SUSTAINABLE SUPPLIER CHAIN MANAGEMENT

In the supply chain, a core business and its upstream and downstream companies systematically coordinate the Triple Bottom Line (TBL) to maximize economic benefits, social responsibility, and environmental protection from a strategic height.

ROBUST AND SECURE S-BOX DESIGN WITH GATED HYBRID ENERGY RECOVERY LOGIC (GHERL) FOR IOT APPLICATIONS

The smart Internet of Things (IoT) network relies heavily on data transmission over wireless channels. Hence, it should be designed to be robust against the attacks from hackers and antagonists. The confidentiality in IoT devices is directly proportional to the complexity and power consumption. To mitigate these issues, this paper proposes a secure Substitution Box (S-Box) design that is exploited in the IoT for cyber security applications. The S-Box is based on Gated Hybrid Energy Recovery Logic (GHERL) that is an amalgamation of two different techniques as adiabatic logic and power gating. Adiabatic logic is preferred to attain high energy efficiency in practical applications such as portable and handheld devices. Power gating technique is preferred to reduce the leakage power and energy consumption. The proposed GHERL XOR gate and S-Box are implemented with 125nm technology in Tanner EDA tool. The consequences of the experiments exhibits that the novel S-Box design with GHERL XOR decreases the power consumption by 1.76%, 35.26%, 36.81%, 41.01% and reduces the leakage power by 58.54%, 20.27%, 27.38%, 13.63% when compared with the existing techniques such as S-Box with sleep transistor, dual sleep transistor, dual-stack and sleepy keeper approach. Keywords: Adiabatic logic, Power Gating, Internet of Things, S-Box

PREPARATION OF IRON- REDUCED GRAPHENE OXIDE/ EPOXY RESIN COMPOSITE AND ITS FLAME RETARDANCY AND THERMAL STABILITY

In order to reduce flammability, smoke release and enhance thermal stability of epoxy resin (EP), iron powder is mixed with graphene oxide/ epoxy resin (GO/EP) composite by mechanical blending. The combustion performance of composite material is investigated through limiting oxygen index (LOI), Underwriters Laboratory (UL)-94 test, and cone calorimeter test (CCT). Thermogravimetric-Fourier transform infrared spectroscopy (TG-FTIR) and scanning electron microscope (SEM) are also used to explore the mechanism of flame retardancy and smoke suppression. Results show that, with the addition of 0.5% mass fraction of GO and the corresponding iron powder combination (EP3 sample), the LOI value can achieve 32.5% while reaching the UL-94 V0 rating. Compare with EP0, the peaks of heat release rate, smoke production rate, and smoke factor values of EP3 are decreased by 42%, 60%, and 50%, respectively. The char and TG-FTIR data of EP3 reveal that it has a more compact structure, good thermal stability, and produce fewer toxic gases and smoke. Reduction of GO could inhibit the degradation of EP, and iron catalyzes the formation of carbonaceous char on the surface. Thus, the thermal stability and flame retardancy of EP are improved significantly. This study provides a suitable way to prepare graphene/EP composites that contain iron catalyst and can be extended to the industrial manufacture of flame retardant polymer composites. Keywords: iron powder; epoxy resin; graphene oxide; flame retardant; thermal stability

OPERATIONAL STUDY OF DRONE SPRAYING APPLICATION OF PHYTOSANITARY PRODUCTS IN VINEYARDS

The use of drones in topics related to precision agriculture to improve the efficiency in the application of phytosanitary products to vineyards increases every day. Drones are especially productive in difficult orographic terrains, where other mechanical systems such as tractors cannot be used. This study shows the development and implementation of a methodology to determine key parameters to decide the suitability of a drone to a spraying task (i.e. spraying time for a certain parcel, number or tank refills required), taking into account the technical specifications of a certain commercial model. For the validation, the data of a vineyard belonging to the Rías Baixas appellation of origin (NW Spain) and the technical specifications of drones from three different manufacturers (i.e. DJI, Hylio and Yamaha) are used. Results show that the Hylio AD122 with a phytosanitary tank of 22 L provides the best performance, with a productivity around 6 minutes per hectare. Keywords: drone spraying; vineyard; precision agriculture; aerial works

CHILD SAFETY IN AUTONOMOUS VEHICLES: "LIVING ROOM" LAYOUT

Autonomous vehicles start to be introduced on our roads and will soon become a reality. Although fatal traffic accidents will be significantly reduced, remaining fatal passenger car crashes should be taken into account to ensure the safety of users. The new highly adaptable interior designs, with totally different layouts from the current ones, may significantly impact occupant safety, especially child passenger safety. Analyzing how these new vehicles affect child safety is a challenge that needs to be addressed. The "living room" layout (face-to-face seating position) is one of the preferences of families traveling with children. Young children need further support and supervision so the possibility of rotating seats to be able to be in front of the small children is a valuable feature for parents. Therefore, new seating orientations away from the forward facing position should be taken into account to ensure children protection. The objective of this study is to evaluate child occupant safety in a "living room" seating position (a possible option in full autonomous vehicles) versus the current forward facing position. Virtual testing methodology was used to perform this study. The virtual PIPER child human body model (HBM) was used. This model is one of the only HBMs developed and validated from child PMHS data (Paediatric Post-Mortem Human Surrogate). The two configurations were defined according with the EuroNCAP child occupant protection test protocol. It was found that the "living room" layout presents worse results according to the child's head injury patterns than in forward facing position. In conclusion, attending to the new seating orientations away from the forward facing position, it is necessary to adapt the restraint systems; otherwise children could suffer potentially dangerous situations.

AN OPTIMIZED DESIGN MODELLING OF A NEURAL NETWORK BASED GREEN HOUSE MANAGEMENT SYSTEM USING SOLAR AND RECTIFYING ANTENNA

The renewable energy resources are widely used in various real time applications, which utilized the solar, wind, fuel cell, etc. From this, the energy management and controlling strategy improves the results. The conventional approach uses Quantum Tunneling PSO for optimization and it is managed with various utility on power grid system. The work utilized the solar and EM waves for energy management scheme and it utilized the controlling parameter by optimization algorithm. The drawback of conventional method is that, the hybrid system utilization and switching is performed with random selection and it not capable for hybrid resources of multiple array functioning. The proposed research work performed with the solar with MPPT tracking and EM with rectenna are utilized and with the help of neural network model, the PV and RF signal generations are stored as array and based on the switching duty cycle from the function of proposed particle swarm optimization, the boost converter act to provide the supply to grid. Through the inverter control, the model fed with the grid, which uses PI controlling with PWM signal generation. Based on the demand and grid utility the LC compensation improves the boost converter performance. The PV and RF signal generation utilized on the continuous utility and obtains the demand free grid circuit. By comparing with the proposed and existing approach, the proposed greenhouse management model obtains the better result. Overall simulink model is done with MATLAB 2018a. Keywords- PV module; EM waves; Rectenna; Proposed PSO; Feed Forward neural network; PI controller and grid utility;

STATE OF THE ART OF SMALL WIND ENERGY ANALYSING DIFFERENT CONTROLS

There are two wind turbine topologies according to the axis of rotation: horizontal axis, "Horizontal Axis Wind Turbines" (HAWT) and vertical axis, "Vertical Axis Wind Turbines" (VAWT) [2]. HAWT turbines are used for high power generation as they have a higher energy conversion efficiency [2]. However, VAWTs are used in mini wind applications because they do not need to be oriented to the prevailing wind and have lower installation cost.

ANALYSIS OF THE TEMPERATURE FIELD IN A MOLD CAVITY FOR POLYMER INJECTION PROCESS

A common situation in the design of injection molds is to achieve an efficient performance in terms of heat transfer, this will allow a higher production rate with better finished parts [1]. One of the most important factors in the design is the cooling time: about 80% of the processing time is determined by it [2]. Seeking to contribute with the increase of productivity, this work presents results of simulations through the finite volume method (MVF) of the injection molding process; those results are compared with an analysis of design of experiments (DOE) with different injection conditions, revealing the study variables that are fundamental to improve the process. Thus, a statistical analysis and a computer simulation analysis are presented to identify the variables inherent to the process and recommend their values.