IMPLEMENTING INDUSTRIAL ROBOTICS ARMS FOR MATERIAL HOLDING PROCESS IN INDUSTRIES

Because of its high accuracy work and simplicity of carrying out heavy operations, the Articulated Robotic Arm was gaining a lot of traction in the industry. The modeling and study of an adaptable robotic arm that can be used for material management activities are the subject of this research. SOLIDWORKS® software was used to design and simulate the articulated robotic arm with an object handling effector. In the early stages of modeling, an examination such as research of the finite element approach would be extremely beneficial. The analysis' findings will reveal the design's strengths and weaknesses. The numerical simulation analysis was performed on the prototype of a robotic arm using the ANSYS® software workstation to investigate alternative components and loading situations. The findings of the investigation are examined to select the appropriate material and to ensure that the articulated robotic arm was feasible

Recent Scope for AI in the Food Production Industry Leading to the Fourth Industrial Revolution

In today's situation, Artificial intelligence and computer vision collectively join together to analyze the big data obtained from predicted models. The role of AI in the agri-based food industry helps the stakeholders to access and monitor the supply chain. The phenomenon of applying AI and computer vision in the food industry would improve the entire operations. This research paper tries to provide an assisting model for farmers in food-processing and agriculture through the state-of-the-art method. Several concepts related to sustainability in food processing have been estimated through machine learning, and the deep learning model as a worldwide concept. The demand for the usage of AI and computer vision in the Ag-TECH industry has increased which impacts sustainable food production to feed the future. Certain implications have been suggested for real-time monitoring of the farming process, politics behind sustainable food production, and investment which is the main game-player in the present situation. The 4th Industrial Revolution [IR-4.0] was ushered in by the deployment of computer vision and AI in the food business, with computer vision robotics playing a crucial role in ensuring sustainable food production

Influence on the Tribological Performance of the Pure Synthetic Hydrated Calcium Silicate With Cellulose Fiber

The ultimate aim of this work is to examine the effect of pure synthetic hydrated calcium silicate with cellulose fibers on the Tribological performance by using chase testing machine test rig.In this particular Research work, the brake pad composites were manufactured by using the injection machine by carrying out the proper standards. The Mechanical/Physical/Chemical properties were developed and these properties were analysed as per norms prescribed by the industry.The experimental results that obtained signifies that the pure synthetic hydrated calcium silicate (SICACEL) based brake pads possess superior mechanical properties such as Mechanical/Physical/Chemical/Thermal properties .It has also been found that it has the better fade and recovery characteristics due to its unique flake morphology in structure and also it reduces sedimentation in dry mixtures and facilitates the pre-moulding stag

Design and Implementation of Single Phase to Three Phase Drive System Using Space Vector Modulation

This paper discusses about the transformation of 1Φ to 3Φ drive system. Generally, the distribution of electric power is typically three phase, however, when it is distributed to suburban areas, small scale industries and rural areas it is single phase. This proposed system was developed by using MATLAB Simulink Model and Hardware Implementation. It describes various conversion techniques such as AC to DC conversion using single phase rectifier, DC to DC conversion by using boost converter, DC to Three phase AC by using space vector modulation inverter. Besides software, hardware system was also developed to control the 3Φ asynchronous motor and its performance was successfully obtained

Vanet Based Secured Accident Prevention System

The idea of Intelligent Transportation Systems (ITS) is utilized when discussing correspondence advancements among vehicles and framework to improve, among others, street wellbeing. We propose a notice administration to avoid mishaps by cautioning drivers about mishaps and perilous street conditions. This administration incorporates the meaning of another communicate dispersal system. A VANET roadway situation is mimicked to assess how the utilization of wellbeing plans diminishes the driver's response time when a startling circumstance happens. This new administration incorporates the meaning of another communicates spread component for low need messages that improve the data transfer capacity utilization. The end drawn in the wake of mimicking the shrewd street structure is that the utilization of astute foundation definitely decreases the response time of the driver. This will deliver an improvement in transport wellbeing since a vehicle would require less space to maintain a strategic distance from a surprising circumstance contrasted with not utilizing these advancements

Agility through Product design in the era of Industry 4.0

Industry 4.0 demands the aggressive implementation of IT and communication devices and infrastructure to integrate machines in the factories so as to execute the operations with the characteristics namely interoperability and flexibility at unimaginable high speed. This kind of facility will enable companies to design and manufacture products for supplying to the individual customers. By implementing industry 4.0 enablers, mass customization is achieved. Mass customization is an outcome of implementing agile manufacturing paradigm. Obviously, this derivation implies that application of Industry 4.0 will enable the companies to implement agile manufacturing paradigm by acquiring agility. Though accomplishment of this goal is going to help the industries to flourish, attaining this goal is going to be a challenge. The major challenge is that the designing of products has to be carried out to tune with the requirements of the Industry 4.0 requirements. This challenge is addressed in this article by indicating the actions to be executed for this purpose and presenting a case study

Design and analysis of high gain Re Boost-Luo converter for high power DC application

This paper introduces a new Re Boost-Luo converter which is a combination of Luo converter and Fly back converter. This proposed converter provides high output gain with low amount of input DC voltage with less duty cycle. In this proposed methodology, the number of inductors utilized gets reduced, thus suppressing the leakage reactance problem. The new converter presented here is also suitable for PV fed renewable applications. The proposed Re-Boost Luo converter reduces the ripples in the converter output voltage very effectively. With the fly back topology, this designed new converter tracks the isolated output voltage with reduced ripples. The PI controller performs closed loop voltage operation with variable input voltage. This controller achieves steady state operation with different input and load variation. Matlab simulation is developed for verifying the performance of the proposed system

High Quality Intelligent Database Driven Microcontroller Based Heartbeat Monitoring System

This paper for a microcontroller primarily based hart beat observance system. It offers the advantage of mobility over sequence recording systems. The guts rate is keep within the info for analysis. This paper explains however a single-chip microcontroller is additionally accustomed analyse heart beat rate signals in quantity. To boot, it permits doctors to induce the hart beat rate file of the patient. It should even be used to management patients or athletic person over Associate in nursing extended quantity. This technique reads and stores the hart beat rate signals repetitively in amount. The hardware and code vogue unit of measurement oriented towards microcontroller-based system, so minimizing the size. The mandatory feature of this paper is that the employment of zero crossing formula to calculate rate. It then processes on fundamental measure the data to figure out some heart diseases

Induction Motor Fault Monitoring and Fault Classification Using Deep Learning Probablistic Neural Network

Asynchronous motor plays a major part in all kind of industries. Even though, Induction motors are robust and reliable, they are liable to various faults. Faults in induction motor may leads to terrible events such as, operating personal injuries, disturbance in production and loss of raw material. Therefore identification of fault became more important in Induction motor maintenance. Among the various defects occurring in the motor, bearing failure is a major fault, which leads to disastrous harm to machine if it is left unobserved at early stage of fault. So the condition of bearing in induction machines has to be monitored continuously. In this work, a novel approach is proposed employing Discrete Cosine transform (DCT) for analyzing speed and Probabilistic Neural Network (PNN) is utilized to identify the bearing failures. The induction motor stator currents are analyzed and classified when the motor is operated at various loading conditions with healthy and faulty bearings. The proposed PNN classifier has the ability to classify the types of fault in bearing and the experimental result supports the worth of the developed method. The PNN based motor bearing fault detection and diagnosis provides better performance compared with conventional SVM and ANN classifiers

Hybrid algorithms for spectral noise removal in hyper spectral images

The image acquired from a sensor is always degraded by some form of noise. The noise can be estimated and removed by the process of denoising. Recently, the use of Hybrid Algorithms for denoising has gained popularity. The most commonly used transformation are Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). DCT has the property of more energy compaction and requires less resources for computational whereas DWT is a multi-resolution transformation. The proposed Hybrid Algorithms take advantage of both of the algorithms and this reduces the false contouring and blocking articrafts effectively. In this paper, the Hybrid Algorithms are evaluated for various images by differentiating with respect to Mean Square Error, Peak Signal to Noise Ratio, Coefficient of Variance, Structural Similarity Index and Mean Structural Similarity Index