2024

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    3D Printing with Polymer Composites Materials,Processes and Applications—A Review
    (Recent Advances in Mechanical Engineering, 2024-05-15) Pandey, Rohit
    One of the most interesting and revolutionary production options currently available is 3D Printing, a rapidly developing technology. In recent years, this technology has attracted a lot of attention and achieved international renown. The focus of study continues to be on technological developments, notably in the field of material science, especially in light of potential future developments. Due to their mass customisation, design freedom, capacity to print complicated 3D structures, and quick prototyping, 3D Printing techniques are used to manufacture innovative multifunctional polymer composites, and structural characteristics. For a wide range of engineering and construction applications, composite or reinforced materials, particularly those in the polymer class, are becoming more and more common. They have scientific uses because of their outstanding physical, chemical, mechanical. This paper discusses the development of 3D printing technologies for matrix composite materials with excellent qualities and their uses in the industries of electronics, aerospace, automotive, and biomedical. An extensive introduction of additive manufacturing (AM) methods highlights fused deposition modelling (FDM), powder-liquid 3D printing (PLP), selective laser sintering (SLS), stereolithography (SLA), digital light processing (DLP), and robocasting. Discussion is held regarding how various filler additives, reinforcing fibres, nanoparticles, and ceramic polymer composites behave during manufacture.
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    A Review on 3D Printing Processes, Materials, Process Parameters and Applications
    (Recent Advances in Mechanical Engineering, 2024-09-07) Pandey, Rohit
    Additive manufacturing’s ability to create highly complex geometric forms has had a huge impact on the world today. The practical use of 3D plastic objects is limited by their anisotropy and poor properties. Adding fillers improves application versatility and performance. The advantages of 3D printing include low labour costs, low cost and ease of editing and modifying drawings. He specialises in additive manufacturing (AM), fused deposition modelling (FDM), powder-liquid 3D printing (PLP), virtual light processing (DLP), stereolithography (SLA), selective laser sintering (SLS) and electron beam melting. Studies have shown that many parameters such as angle, die tip, feed speed, scanning angle, extruder temperature and plate spacing affect the product delivered. Various methods have been proposed to improve these parameters. To choose the best sign for your chosen software, it will be useful to analyse the main features, advantages and disadvantages of the season. Likewise, research in these areas will further improve the performance of 3D printing projects.
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    A STUDY OF FACTORS CONTRIBUTING TOWARDS DECLINE IN THE INTEREST OF AN ORANGE GROWER IN AMRAVATI REGION, MAHARASHTRA
    (Journal of Validation Technology, 2024-12) Kawitkar, Suresh S.
    Nagpur is the marketing centre of oranges as it connected with rails and road and also falls in the centre place of India. But Amravati district possessed the biggest share of oranges within the Vidarbha. The orange crop plays a vital role within the economy of the region. The present research paper critically analyze the factors responsible to this worsen economy of orange grower compare to the past. Researcher has done thorough study and understood the entire orange growing process. He tried to understand the problems, constraints and limitation at stage of production. He analyzed and interpreted each stage till the series get completed. Sample size of 100 was sufficient enough to represent the population of orange grower farmers. Major factors responsible is heavy dose of chemicals, fertilizers and pesticides enhances the infertility of land which directly affecting the yield. Also it brings down the demand in international market especially in well developed and rich countries because of their quality conscious attitude. A very High labour cost plays the role of the catalyst in cost of production. It is also observed that though the qualified and experienced farmers are in this business of farming but lags in accepting the change, having very less intension to learn and accept the changes taking place outside. At the end researcher suggested possible solution to the problems.
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    AgroScan : Crop Identification Application using Artificial Intelligence Approach
    (Nanotechnology Perceptions, 2024) Meher, Kunal
    Artificial intelligence (AI) has the potential to revolutionize agriculture, particularly in the realm of crop analysis. AI-based systems can accurately identify crops in images, even under challenging conditions such as low light or shading. These systems have numerous applications, including crop monitoring and management, precision agriculture, and food safety and security. The goal of this research paper is to develop a robust, accurate, and efficient AI-based crop identification system. The system will be trained on an extensive dataset of crop images to identify various crops and detect certain diseases in new images. To evaluate our system's performance, we will compare it against new and emerging methods using a held-out test set. This study aims to develop an AI-driven crop identification system that will benefit farmers and other stakeholders in the agricultural sector by improving crop yields and quality, reducing costs, minimizing environmental impacts, and enhancing food safety.
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    An Analysis of Incorporation of Soft Skills in MBA Curriculum in MBA Offering Institutes in Amravati Region
    (International Journal for Multidisciplinary Research (IJFMR), 2024-05) Kawitkar, Suresh S.
    This study investigates the ways in which different Amaravati colleges' MBA Programmes include soft skills. It evaluates the degree of integration, the efficacy of the curriculum, and teacher and student opinions about the significance and influence of soft skill development. The study finds that different institutions place different amounts of emphasis on soft skills through the use of surveys, interviews, and curriculum analysis. Some universities provide extensive Programmes, but others don't concentrate enough. Better instruction in problem- solving, cooperation, leadership, and communication is acknowledged by both teachers and students. The article ends with suggestions for improving the MBA Programme to better prepare students for the fast-paced business world. It promotes a well-rounded strategy that incorporates both technical and soft skills.
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    An Optimal Time Constraint Algorithm For Energy Consumption In Hetrogeneous Mobile Networks
    (International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 2024-02-25) Patil, Shashikant
    Ever-increasing information had led to a huge increase in mobile network energy consumption. Recent advancements in heterogeneous mobile networks and ground stations powered by renewable energy are present in the mobile communications sector. In this study, we explore the reasons, problems, and options for addressing the issue of lower electricity costs for these heterogeneous grids. With the variety of issues on traffic and energy consumption, low-cost electricity requires both spatially and temporally the allocation of resource optimization. Then it shows how to merge the improved green power time allocation and the dispersal of space cell traffic into a new approach. A proposed methodology is developed in four phases such as energy forecasting, customer association, green energy reallocation, and optimization. The whole optimization problem is broken down into four sub-problems. The results of the simulation show that the approach we propose may significantly reduce electricity prices.
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    Assesing the Impact of Hindustan Unilever Limites's Sustainable Initiatives on Su
    (12th International Conference on Contemporary Issues in Management, 2024-02) Homavazir, Zuleika
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    Beyond the Headlines
    (Nex Gen Publications, 2024-04) Vaishnav, Jaimine
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    Blockchain Solution for Patient Record Security
    (2024) Meher, Kunal
    The presented Electronic Health Record (EHR) system aims to leverage blockchain technology to achieve enhanced security in transmission of data, improving data integrity, providing controlled access, interoperability, maximize productivity and empowering patients by empowering them to manage their health data. Blockchain system is recognized as a promising approach to these problems, providing a safe and decentralized platform for managing patient records. Our solution, which is built on blockchain technology, addresses critical issues in healthcare data management, such as unauthorized access, data tampering, and the absence of a unified and interoperable platform. By utilizing a distributed ledger, our system guarantees that patient data stays private while being easily available to authorized stakeholders. Smart contracts are utilized to govern access permissions and streamline the process of data sharing among healthcare providers, thereby facilitating a safe and efficient sharing of medical information. The presented EHR system utilize blockchain system to establish a protected, decentralized, and unchangeable record of patients’ medical histories. The system revolutionize the way health records are stored, accessed, and managed. By integrating Ethereum, Smart Contracts, and the Interplanetary File System (IPFS), the system ensures safe, transparent, and efficient handling of medical data. The integration of blockchain system into EHR systems has demonstrated considerable potential in mitigating some of the foremost obstacles within the domain. Due to its intrinsic decentralization, immutability, and openness, blockchain is the ideal tool for improving security, preserving data integrity, and building stakeholder trust in EHR systems.
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    Contemporary Trends and Challenges and Advances, in the Manufacturing Industry, with a special focus on applications of Artificial Intelligence and Deep Learning
    (European Economic Letters, 2024) Grover, Pooja; Kumari, Sweta; Vaishnav, Jaimine; Mohammed, Shoaib
    In the last few years’ artificial intelligence (AI), has begun to make its appearance in our everyday life. Even though it is still in its early stage of development, AI has proved beyond human intelligence. DeepMind’s AlphaGo is an illustration of how the AI could provide amazing benefits, particularly in industries such as manufacturing. At the moment there are attempts to connect AI technology with precision engineering and manufacturing in order to change classical production methods. This research paper focuses on some notable milestones that have already been attained in the realization of AI for manufacturing and how it will change the face of any manufacturing facility. There are several challenges in the AI manufacturing application; these include data acquisition and management, human resources, infrastructure, security risks associated with trust issues as well implantation of hurdles. For instance, the collection of data required to train AI models can be challenging for rare events or expensive in large datasets that require labeling. The introduction of AI models into industrial control systems can also pose risks to the security, and some players in industry may be reluctant to use AI because they don’t trust it or understand what is going on. However, these hindrances do not deter AI from becoming an effective solution for predictive maintenance and quality assurance in the sector of manufacturing. Therefore, one should ponder over each manufacturing case and its needs before deciding if or how to adopt AI. The aim of this research paper is to analyze the current progress, problems and prospects in AI-ML across manufacturing entities. Its aim is to enhance knowledge of accessible technologies, support decision-making in choosing appropriate AI/ML technologies and determine where further research needs are possible centered on latest developments. Initial findings indicate that the combination of AI/ML technologies with advanced data collection capabilities from manufacturing networks can produce massive cost and efficiency gains. Though the accurate representation of complex phenomenon in manufacturing is problematic, AI can revolutionize this industry. Other areas where AI is intensively studied include medical image analysis, bioinformatics, recommendation systems and finance. Many notable AI products such as Amazon’s Alexa, IBM Watson and DeepMind AlphaGo have already integrated into our daily use. To address limitations such as interpretability and degraded performance with insufficient data, several sub-branches of deep learning are currently researched namely; Physics - Informed Deep Learning (PIDL), Explainable AI(XAI), Domain Adaptation, (DA) Active Leaning (AL), Multi Task Learning MTL, Graph Neural Network GNN. Convergence of AI with other engineering industries have a potential issue that should not be ignored. The aim is to enable an effective use of AI by the precision engineering and manufacturing community for future-oriented manufacture.
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    Core Competence of Successful Corporates
    (International Journal of Law Management & Humanities, 2024)
    Core Competence is the uniqueness of a company that makes it create new products and services to add value to the organisation. It is not easy for the other competitors to copy the company's core competence. Core competence is an organisation's efficiency in growing its business. This article highlights the skills required to identify and improve an organisation's core competence. Core competence differs from company to company. One organisation may have core competence in enhancing the quality of its products, and another organisation may have core competence in utilising the technology.
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    Corporate Mistakes In Product Promotional Strategy
    (IOSR Journal of Business and Management, 2024-09-01) Mohamed, Jaffar
    The Global Village concept made the world population easily accessible to corporates. A company has to be very careful in designing its sales promotion techniques. It has to consider the variations in the cultures, sentiments and wants. Different options and values of other markets are focused on promoting the products and services. The sales promotion mix components must be proportionally used for optimal results. A company has to decide which product promotional strategy is ideal for its product: push, pull, or a combination of both. This article elaborated on the wrong promotional strategy adopted by many corporates to market their products. Ultimately, the products failed in the market due to the consumers' rejection, leading to enormous losses for the companies. Some products of reputed companies fail due to the wrong product promotion strategy. Analysing these failed models will enrich the corporate's knowledge of applying marketing strategies. The sales promotion strategy should match the product's quality and express the product's natural features, as discussed in this article; different sales promotion strategies and styles are available before the manufacturers. They choose the right strategy and promotion method to match the product and market. If the product and promotion strategy are perfectly matched, then the company can take the synergic value of profits.
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    ct-DNA compaction by nanoparticles formed by silica and gemini surfactants having hydroxyl group substituted spacers: In vitro, in vivo, and ex vivo gene uptake to cancer cells
    (Journal of Photochemistry & Photobiology, B: Biology, 2024-09-15) Aggrawal, Rishika
    Hybrid nanoparticles formed by Silica (SiO2) coated with cationic gemini surfactants with variable hydroxyl group substituted spacers, 12-4(OH)-12,2Br− and 12-4(OH)2-12,2Br− have shown a great extent of compaction of calf thymus DNA (ct-DNA) compared to conventional counterpart cationic surfactant, dodecyl trimethylammonium bromide (DTAB). Study shows not only the hydrophobicity of the spacer but also the hydrogen bonding interactions between the hydroxyl group substituted spacer and DNA have a great role in DNA compaction. 12-4(OH)2-12,2Br− is more efficient in compacting ct-DNA compared to 12-4(OH)-12,2Br− due to the stronger binding of the former with ct-DNA than the latter. While 12-4(OH)-12,2Br− makes 50 % ct-DNA compaction at its 0.63 μM concentration in the presence of SiO2 nanoparticles, the same % of compaction can be achieved at a concentration as low as 0.25 μM of 12-4(OH)2-12,2Br− . However, DTAB makes 50 % ct-DNA compaction at a concentration as high as 7.00 μM under the same condition. Therefore, the present systems address the very common challenge, i.e., cytotoxicity due to cationic surfactants. The system of 12-4(OH)2-12,2Br− coated SiO2 nanoparticles displays the maximum cell viability (≥90 %), causing the least cell death in the mouse fibroblast cells (NIH3T3) cell lines compared to the cell viability of ≤80 % for DTAB. 12-4(OH)2-12,2Br− coated SiO2 nanoparticles system has presented excellent in vitro cellular uptake of genes on mouse mammary gland adenocarcinoma (4T1) cells after incubating for 3 h and 6 h. In vivo study shows that 12-4(OH)2-12,2Br− coated SiO2 nanoparticles system takes the highest amount of ct-DNA in cells and tumors in a time- dependent manner. The ex vivo studies using different organs of the mice demonstrate that the tumor sites in the breast of the mice are most affected by these formulations. Cytotoxicity assays and cellular uptake studies suggest that the present systems can be used for potential applications for gene delivery and oncological therapies.
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    Design and Analysis of Manual Pallet Stacker by Using FEM Method
    (Proceedings of Third International Conference in Mechanical and Energy Technology, 2024-08-03) Pandey, Rohit
    In this study, we found that the stress of S-460, aluminum alloy, and carbon fiber were 36.7, 36.81, and 36.76 MPa, respectively. The total deformations of S-460, aluminum alloy, carbon fiber, and other materials are 3.02, 8.4, and 2.0 mm. Looking at our various products of all materials, we choose composite material because it is light, heavy, and has very high deformation and stress under 1000 kg load. This is a simple static analysis using a single load step on the angle shown in Fig. 5.2. The bottom of the right pin hole is subjected to a conical high load, while the entire circumference of the left pin hole is limited (welded). The purpose of this question is to introduce ANSYS analysis techniques. This figure shows the length of a right angle. A36 steel with a Poisson's ratio of 0.27 and a Young's modulus of 30E6 psi is used to manufacture the bracket. The problem can be classified as plane stress because the cantilever is confined to the xy plane and is thin in the z direction relative to the length of the x and y sections (1/2 in. thick). A 2D model, nodes, points, and the model that was used to construct it are used to create the mesh. (It is optional to create nodes and points directly in ANSYS.) The stresses of carbon fiber, aluminum alloy, and S-460 were determined to be 36.7, 36.81, and 36.76 MPa, respectively, in this investigation. The total variations of S-460, aluminum alloy, CFRP, and other materials are 3.02, 8.4, and 2.0 mm. View our wide range of products from all materials. I will choose composite materials because they are light and heavy and have very high stress and strain at 1000 kg load. This is a simple static analysis using a single angular load step shown in Figure C.2. A high cone load is applied to the bottom of the right hole and the entire circumference of the left hole is fixed (welded). The purpose of this question is to introduce ANSYS analysis methods. This figure shows the length of a right angle. A36 steel with a Poisson's ratio of 0.27 and a Young's modulus of 30E6 psi is used to manufacture the bracket. The problem can be categorized as plane stress because the cantilever is confined to the xy plane and is longer and thinner in the z direction than the x and y parts (which are each 1/2 in. thick). Nodes, elements, and the model that was used to construct them are used to build 2D models. (It is optional to create nodes and points directly in ANSYS.)
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    Design, simulation, analysis and fabrication of a modular face shield for the end users with skull deformity
    (IEEE, 2024-06-13) Thiruchitrambalam, M.
    Craniosynostosis leads to unusual skull shapes in the infants. Genetic factors as well as environmental factors are associated with this type of disorder. During the pandemic Governments will not be able to impose complete lockdown due to economic compulsions. It is necessary to use protective devices such as face shields during the pandemic. This article describes development of a modular face shield using 3D printing method that meets the needs of the end user’s with highly deformed skulls.
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    Does Female on Board Affect M&A Participating Firms’ Performance? Empirical Evidence from India Using Dynamic Panel Data Analysis
    (The Indian Economic Journal, 2024) Kumar, Sarika
    The aim of this research is to examine the impact of gender diversity and female leadership position on the firm performance of Indian listed firms participating in mergers and acquisitions (M&A) activities. Available research has focused on a small sample of firms and considered ‘gender diversity’ as the only variable. Bearing this in mind, this study focusses on the leadership positions females hold on corporate board along with gender diversity affecting the firm performance measures for the sample of M&A participating firms, as M&As lead to major restructuring of the board. The ‘gender diversity’ is measured with the number of females present on corporate board as directors, ‘leadership position’ is measured with females holding the position either as Chief Executive Officer (CEO) or Chairperson on the board. The study employs panel data set for Indian non-financial National Stock Exchange listed M&A participating firms for the period 2013–2020. Using a system of GMM dynamic panel estimates, the study analyses the relationship between gender diversity and females’ varied leadership position on the firm performance measures, that is, return on asset, Tobin’s q. The findings reveal that there is a positive association between gender diversity and firm performance measures. Females holding the top leadership positions as either CEO or Chairperson on the board positively impact the firm performance measures. This study adds to the existing literature on gender diversity at the board level and M&A literature in the Indian context.
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    Exploration of OpenCV for Hand Gesture Recognition Techniques - A Review
    (Nanotechnology Perceptions, 2024) Meher, Kunal
    This paper reviews hand gesture recognition techniques by leveraging the strengths of OpenCV and TensorFlow, two of the most widely used libraries in computer vision and deep learning. OpenCV's sophisticated image processing capabilities are utilized for preprocessing, feature extraction, and establishing a solid foundation for further analysis. TensorFlow is employed to construct and train deep neural networks capable of identifying fine-grained details and subtle variations in hand gestures. This integration allows for precise and accurate differentiation and understanding of a predefined set of gestures, demonstrating the potential for robust hand gesture recognition systems.
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    For Success Get Entrepreneurial Vision and Don’t Be a Bucket Puller
    (International Journal of Business and Economics Research, 2024-09) Jaffar, Mohamed
    In the realm of Entrepreneurship, Innovation and Risk-taking are the twin pillars of success. Entrepreneurs must put their utmost effort into realising their goals to emerge victorious. This article delves into the journeys of several successful entrepreneurs, underscoring their triumphs due to their unwavering dedication. It juxtaposes the contrasting attitudes of two individuals when confronted with the same challenge: one who achieves success through sheer determination and another who succumbs to failure due to a lazy approach. The essence of entrepreneurship lies in empowering individuals to work confidently and strive for success. Entrepreneurs are one of the primary driving forces behind innovative solutions in any economy. The entrepreneurial concept is associated with supporting technology to create a complete design of any business idea. The common public will fully accept and recognise some of the concepts. Then nobody can stop the grand success of this innovative idea.