bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carburized Layer Cracking Analysis of Counterweight Blocks of Speed Controller
Authors: Jiang Tao , Zhang Bing , Mao Yimeng , Cheng Jiale , Shi Xiaodong 
Published: November 2021

Abstract
Trace and fracture analysis, metallographic examination, residual stress testing, and material analysis were carried out, coupled with examining the failure timeline, to analyze the cracking problem of 12CrNi3A steel counterweight blocks under multi-factor coupling. The results show that the cracks of the counterweight blocks are intergranular microcracks in the carburized layer and they are delayed cracks under the joint action of microstructure stress, grinding stress and hydrogen. The delayed cracking of the counterweight blocks is mainly related to abnormal hydrogen absorption during surface treatment and poor grinding quality. The obvious microstructure segregation in raw material and the thicker carburized layer promoted the cracking. The following measures should be comprehensively taken to prevent such failure: strictly controlling raw material quality, hydrogen absorption and stress, as well as increasing the processes to remove hydrogen, reduce stress and stabilize microstructure.
Theoretical and Numerical Analysis of the Fatigue Strength of Mechanical Material and Part under Uniaxial Stress
Authors: Yang Ze , Yang Yiyong , Li Jianyong , Ji Linhong , Cheng Jia 
Published: November 2021

Abstract
To characterize the fatigue strength of mechanical material and part, a methodology combining the fatigue damage theory with the numerical simulation is proposed under three types of uniaxial loads. The equal-life fatigue curve of a shaft is used for the theoretical and numerical analysis of fatigue damage. Its theoretical fatigue strengths under different loadings are gained through theory equations. Utilizing the mean stress correction method, the stress distribution and fatigue life of the shaft are obtained through the collaborative simulation of ANSYS and nCode software. Consequently, the resultant fatigue lives are all within the value band of basic cycle number as demanded in practice, implying the correction and validation of theory analysis. The proposed strategy provides a new pathway and perspective for the analysis of fatigue damage.
The Effect of Polymerization Temperature on the Properties of Polyvinyl Fluoride Polymerization in Supercritical Carbon Dioxide
Authors: Liu Wei , Zhang Yanzhong , Chang Huaiyun , Cai Rong , Ma Peiliang 
Published: November 2021

Abstract
The ongoing search for environmentally friendlier alternative to the organic solvents used in chemical processes has led to the development of technologies based on supercritical carbon dioxide (scCO2), which is non-flammable, non-toxic and relatively inert fluid. Polymer chemistry does not escape this trend. Fluoropolymers prepared in scCO2 have many special properties, which are different from fluoropolymers that use water as the reaction medium, this paper studies the effect of polymerization temperature on polyvinyl fluoride polymerization in supercritical carbon dioxide. The results show that as the polymerization temperature increases, the intrinsic viscosity and shear viscosity of the polymer gradually decreases; at the same time, the increasing of polymerization temperature leads to higher proportion of irregular structure of the polymer, which causes lower melting point and lower crystallinity, and the film prepared by the resin also exhibits a higher visible light transmittance. The above results show that the resin polymerized in supercritical carbon dioxide can impart better performance to conventional polymerization, which expands the potential application fields of the resin.
Influence of Semi Die Angle on the Forming Process of Ribbed Tube
Authors: Liu Shengqiang , Wang Baoyu , Li Wei 
Published: November 2021

Abstract
Cladding tube is one of the key components in nuclear power reactor. In this paper, the forming process of a new cladding tube is investigated, namely ribbed tube. The influence of semi die angle on the forming process of ribbed tube is studied. Firstly, the strain-stress curves of 316L stainless steel (SS) at different strain rates are obtained. Based on the strain-stress curves, a modified Johnson-Cook constitutive model which ignore the influence of temperature are used, and the parameters of the modified model are determined. Then, the modified Johnson-Cook is used to establish the finite element (FE) model of ribbed tube drawing process, and two pass drawing process is adopted in this paper. Finally, the influence of semi die angle on the forming process (forming quality and drawing force) of ribbed tube is elucidated, and the credibility of the simulation is confirmed by comparing the simulation and experimental results. The results show that when the semi die angle less than 8 °, all the formed ribbed tubes meet the requirement, but there are inner grooves appear at the inner wall, and the inner grooves cannot be avoided in the drawing process. Moreover, when the semi die angle is 8 °, the inner grooves have smallest depth.
Experimental Study on the Properties of Copper Base Alloy by Laser Cladding on the Surface of Pure Copper Contact
Authors: Xue Shouhong , Li Baokun , Wu Jiguang , Ge Lihong , Gao Zhengping , Yang Yaoguo , Li Jiaxuan 
Published: November 2021

Abstract
Arc ablation is the main reason for the failure of pure copper switches. In order to improve the electric ablation resistance of pure copper contacts, Cu-W-Ni alloy cladding layers with different tungsten contents were prepared on the surface of pure copper matrix by laser cladding technology. The microstructure, composition distribution, hardness and corrosion resistance of the cladding layer were analyzed. The results show that the surface of the cladding layer and the pure copper matrix is metallurgical, without holes, cracks and other defects, and the dilution rate is low, and the average hardness is significantly increased. On the whole, the comprehensive properties of CuW10Ni3 cladding layer are slightly better than the other two Cu-W-Ni cladding layers. Compared with the pure copper matrix, the contact hardness is significantly improved under the premise of ensuring the electric conductivity of the inner pure copper matrix.
Effects of Rare Earth Elements (Ce, Y) on Microstructure and Mechanical Properties of P20 Die Steel
Authors: Wu Dan , Hu Qiang , Chen Wei , Lu Deping , Zou Jin , Guo Junli , Liu Qi , Sun Lefei 
Published: November 2021

Abstract
Electroslag remelting P20 die steels with different amount of CeO2 or Y2O3 additions have been investigated by using mechanical tests and scanning electronic microscope with energy dispersive spectrometry. The microstructure of P20 die steels is tempered martensite, in which plenty of carbides precipitate along the martensite laths. With addition of rare earth Ce or Y, the matrix microstructure is refined, the quantity of carbides is decreased, and the distribution of carbides becomes more uniform. As a result of these microstructural changes, both the impact energy and tensile strength increase with increasing rare earth content. The samples obtain optimum microstructure and mechanical properties when the amount of CeO2 or Y2O3 additions reach 4 wt.%. However, over-added CeO2 or Y2O3 (>4 wt.%) results in the increase of carbides quantity and the aggregation of carbides, which reduces the impact energy and tensile strength of the samples. Present study indicates that the optimum addition of CeO2 and Y2O3 for the P20 die steels is 4 wt.%.
CAMPUS MITHRA: Design and implementation of voice based attender robot
Authors: Saniya Ambreen , Chandana M S , Dennis Maria Sharon , Pooja K , Chaithanya D J , Rohith K , Anitha S 
Published: November 2021

Abstract
A robot is a machine which is programmed by a computer and the movements and functions of which are controlled by an external or an embedded control. It has dynamic uses in all domains of life. A robot in a university setting can be used as an attender for passing circulars around instead of multiple attenders doing the task manually which is a cost and time consuming process. Parents often find it difficult to navigate through the unfamiliar university. In this paper, we have focused on a voice based attender robot with line following capabilities along with speech recognition that can be used at universities for a variety of purposes like passing around the circulars, interacting with parents and helping them navigate through the university through Spoken Natural Language. The main objectives of the proposed work is to reduce the burden of passing circulars, calling a student/faculty on the attender by designing a robot that is also competent enough to connect with human through spoken natural language such as English or Kannada, so that it interacts with parents who are new to the institution and do not know whom to approach. The main aim of this work is to introduce a robot that it is able to interact with human through the Spoken Natural Language. Here, the focus is on two languages; English and Kannada. This system uses a voice recognition module to recognize human voice and a voice playback module is used to reply back in either English or Kannada according to the user’s command. It can work in two modes, the voice recognition mode to answer to user queries or in line following mode to pass circulars, call student/faculty. In this way, the voice based attender robot finds its applications in the university setting. But it is not limited to only universities. It can also be further implemented in places like railway stations, bus stations, big factories and other similar surroundings.
Real-Time Motion Control of a Humanoid Robot Using Deep Learning
Authors: Faraz Ahmed A S , Sudharsan V , Arockia Doss Arockia Selvakumar 
Published: November 2021

Abstract
This paper discusses the research work done for controlling the humanoid robot manually using deep learning. For teaching, personal assistance, search and rescue humanoid robot are used. Controlling manually makes it to do any task without any explicitly programming. Existing technique for manually controlling the humanoid are heavily dependent on hardware and they are not cost efficient. This paper proposes a novel method for controlling the humanoid using a 2D camera. The image from the 2D camera is processed and skeleton of the human body is captured using deep learning. Then the skeleton is used to control the actuators present in the humanoid robot using image classifier and ROS. As a proof of concept the upper body of the humanoid robot is controlled in real time using this method.
Industrial Internet of Things - Control of Industry Simulation Through Different Protocols
Authors: Surya P , Suenbuel Asuman , Arockia Doss Arockia Selvakumar 
Published: November 2021

Abstract
In past few years there is a great demand for internet of things (IoT), It has become an important part of smart technologies. There have been many researches going-on in internet of things in both academics and industries. IoT using in industries is also known as Industrial Internet of Things (IIoT). Where smart sensors are used along with IoT are used. This research work is done to identify the best protocol for high-speed data transmission with no loss of data to prevent command lag between mobile controller and industry. In this research a soda filling Industry simulation with 3 different plants was controlled through a mobile application through different protocols with 4 different features of data transfer. The time of data sending and receiving from application and ESP32 controller are stored in a log. The speed of data transfer of all different protocols is compared. From the final result, ThingSpeak is an optimum protocol for this application which is 36% faster than HTTP in single data transfer and 39% faster than MQTT in continuous data transfer.
Design and development of IoT enabled gas sensing system for remote monitoring of air quality in borewell rescue operations
Authors: Abhishek L , Kathirvelan J 
Published: November 2021

Abstract
The children demise inside the borewell is expanded in nowadays, with uncovered borewell they fallen without knowing and lost their lives due to asphyxiant inside, likewise without oxygen, food and so forth The harmful gases like carbon monoxide, Methane, LPG, hydrogen sulphide inside the bore-well it will influence the children breathing and furthermore this may prompt unconsciousness, and without oxygen it might influence the brain functioning of child and child may die and furthermore explicit distance of the child at what distance child stuck isn’t know. To overcome these, we need to detect the various gases with different multiple gas sensors additionally to get the temperature and humidity condition. Alongside this ultrasonic sensor is utilized to get the distance of child at what distance child got stuck. We have utilized two Arduino Uno microcontrollers which is at the transmitter side and other at Receiver side also utilized two ZigBee’s as the communication devices. With the help of IoT involved in the proposed system. Every one of these information are sent to the cloud and we can monitor the data in the thing speak dashboard through PC or from our smart phone through Android App Usage and also, through LCD at Receiver end. We can utilize this proposed framework inside the borewell for up to 80-meter depth. Thus, we came up with this Design and Development of IoT enabled Gas sensing system for remote monitoring of Air quality in borewell Rescue operations. Based on proposed system results of real time data the Rescue specialists can make a further move by providing of oxygen, food, and so forth Save their lives.
Monitoring of Workplace Safety Using IoT
Authors: Elangovan Muniyandy , Surrya Prakash D , Sasidharan P 
Published: November 2021

Abstract
Security is the most critical thing in today’s working conditions for the workers who are working in process industries and manufacturing industries. In order to have a safe workplace, a suitable safety system is yet to be developed for Micro, Small, and Medium Enterpiises-level companies. Therefore, a safety system is developed to monitor the temperature of the employee while entering the workplace and company gate. Even for the single parameter health check, the control system to get the data from the sensor to the database and the database needs to be checked for the limitation of range whether it is acceptable or not. Based on the data condition, the sound alarm system needs to be connected and at the same time, a Short message service needs to be sent to the higher authorities. This information is sent to top management in an email form for their record and the information. The database contains data for the long period to have a statistical analysis of health issues for the employees. This statistical data analysis can help to improve the safety standard at companies. Considering the low-cost estimation, this safety system can be used in any MSME-level company.
IoT Based Smart Agriculture and Plant Disease Prediction
Authors: Bala Murugan MS , Rajagopal Manoj Kumar , Roy Diproop 
Published: November 2021

Abstract
Agriculture is a very prominent sector in our country and has been one of the highest contributors to the GDP. During the 1960s, an all-time high was reached with approximately 50% contribution to the GDP of the country, as more than half of the population was rural and focused primarily on agriculture as means of their livelihood. But from the latest records of 2019, the contribution by this sector has decreased to 15.96 percent. IoT plays a significant tole in remote sensing with machine learning in monitoring crops and surveying, which in turn aids agriculturists in ways for efficient field management. The proposed work integrates the role of Internet of Things and Deep learning deployment in farm management and disease identification of leaves. With the use of Internet of Things through remote sensing this work monitors the agriculture field parameters in remote cloud environment. With modified Resnet model deployed on the cloud for the purpose building a smart disease prediction. This system achieves 99.35% accuracy for the dataset. Overall this approach will provide an opportunity for agriculturists to test the plant disease with a smart phone connected to Internet and take appropriate actions.
Hyperledger blockchain based secure storage of electronic health record system in edge nodes
Authors: Arul P , Renuka S 
Published: November 2021

Abstract
An Electronic Health Record (EHR) is a database for storing patients medical information collected from different sources such as smart wearable devices, smart sensors and diagnostic imaging equipment. An EHR contains sensitive private information for the patients and the treatment of their diseases. Furthermore, it’s often shared among different members consists of healthcare providers, insurance companies, medical researchers, and others. The main difficulty for EHR information management is the result of gathering, storing, and sharing patient healthcare without affecting privacy and security. Blockchain has recently proposed an efficient way to manage EHR data. This paper provides hybrid architecture for EHR data management by using both Hyperledger blockchain network in on-chain and edge node in off-chain. In this architecture is used to authenticate user without affecting sensitive patient’s information and also used to authenticate the encrypted EHR information in edge node. In the on-chain approach EHR activities and Patient authentication activities are recorded in the blockchain for the purpose of accountability and traceability. Edge nodes stored the encrypted EHR data in the off-chain method. So the combination of on-chain and off-chain approaches only allows the authorized data user who has to meet the EHR access activities and to decrypt the EHR data. If the EHR information is alter by an unauthorized user, the hash code is newly generated which is different from old hash code stored in the blockchain. As the result the user can easily detect that their EHR information has been hacked.
Conjectural schema using Quantum mechanics-AI to express and interpret emotional intellect in a social robot
Authors: Gayathri G , Sethuraman Aravind , Anna Vishaal K 
Published: November 2021

Abstract
In this paper, the study represents a theoretical conceptualization on the potential improvements to interpret and devise under the notion of quantum mechanics & AI utilizing psychology for social robots. The framework is elaborated in regard to the development of emotions encoded through information and possibilities, which manipulates the use of transitions of these emotions in states through the Quantum & AI measurements. To support the development, work introduced is an interpretation of quantum mechanics, linked with quantum science, systems science, and Conceptualized Neural Network. The understanding of these emotions are expected to impact the technical capability of robots in a specific aspect to sense, capture, and act in an environment relied on optimization of quantum bits, where a robot, perform these emotions through a network which will allow interaction with the given target, changing the robot’s state of response according to optimization and gates from target itself, computing the robot’s emotional performance based on measurement and mathematical expressions changing in accordance to the available information. This method will help to emphasize its viability and effectiveness in the synthesis of emotional intellect in social robots.
Implementation of Strategic Structure By Integrating Flexible Manufacturing System With Green Technology for Enhancement of Productivity And Quality Of Product
Authors: Ganvir Kanchan , Jain Rakeshkumar 
Published: November 2021

Abstract
The worldwide advancements of new innovations are developing at a touchy rate, yet associations are embracing more gradually henceforth, serious promoting society and incorporated supervisory crews are required in an organization to exploit new advances. Adaptable assembling innovations are seen by organizations to be a significant component Exceeding competitiveness and seriousness. Notwithstanding, dominating in the present market isn’t easy and straightforward like the procurement of fresh improvement. So as to accomplish more of advantages, the structural framework associations will combine to ensure that the execution of innovation should lead to the normal benefits. Hence, a structure that encourages flexible manufacturing system companies deciding the prerequisites of the FMS reception, with the correct blend of green technology and vital components is required. The study examines particular dimensions of green manufacturing Index Applicability and FMS such as Information technology, planning, flexible automation techniques. The outcome will determine the major substantiate to establish and strengthen the value of product with superior performance, Using the findings the research will suggests the implication and adoption for further research. It would definitely enhance the performance in any industrial organisation with economic growth. This Research aims to report the findings of an exploratory work by integrating Green Manufacturing and flexible Manufacturing system techniques to generate new strategies which can be further administered in an industrial organization and sectors such as component manufacturing, automobile parts and processing sectors.
Design and Analytics of Smart Posture Monitoring System
Authors: Chaitanya Kumar A , Sridhar V G 
Published: November 2021

Abstract
Instances of low-back pain in people of all ages is one of the most common issues in the world. Over 50% of the world population report of being affected by low-back pain at least once a year. It is therefore of paramount importance for individuals to realize the necessity and importance of a proper sitting posture, to interact and work in an ergonomically supportive environment. With the advent of the Internet of Things, it is now evident that communication technology coupled with the mechanics of the seating device can help produce meaningful insights, and help in undertaking data-driven decisions. There have been various attempts at designing “smart chairs”. These smart chairs in addition to the above mentioned functionalities, can also be deployed as robust health-monitoring systems. Using embedded sensors within, these chairs can function as an alert mechanism to the user, when he/she is sitting with an incorrect posture, that could be detrimental to the physical health of the individual. In this paper, the researchers conduct a comprehensive analysis of the existing products, by a customer survey and propose a solution that could potentially serve the people with back pain to use the proposed chair: embedded with sensors, and supplemented by data analytics. The system designed is a cost-effective low-power consuming posture monitoring system, that simultaneously works as an accurate health monitoring system as well.