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THE ROLE OF PRECISION METROLOGY IN ENHANCING MANUFACTURING QUALITY: A COMPREHENSIVE REVIEW 精密计量在提高制造质量中的作用:全面综述
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.868
Kehinde Andrew Olu-lawal, Oladiran Kayode Olajiga, Emmanuel Chigozie Ani, Adeniyi Kehinde Adeleke, Danny Jose Portillo Montero
Precision metrology plays a pivotal role in modern manufacturing processes by ensuring the attainment of high-quality standards and the optimization of production efficiency. This comprehensive review delves into the significance of precision metrology in enhancing manufacturing quality across diverse industries. The review encompasses an examination of advanced metrological techniques, their applications, challenges, and future prospects. The review begins by elucidating the fundamental principles of precision metrology, emphasizing its critical role in quantifying dimensional accuracy, surface finish, and other crucial parameters in manufacturing. It explores the evolution of metrology from conventional methods to state-of-the-art technologies such as coordinate measuring machines (CMMs), optical metrology, and 3D scanning systems. The integration of these techniques into modern manufacturing environments has revolutionized quality control processes, enabling real-time monitoring and rapid feedback mechanisms. Furthermore, the review highlights the multifaceted applications of precision metrology across various industries, including automotive, aerospace, electronics, and medical devices. It elucidates how metrological advancements have facilitated the production of intricate components with tight tolerances, thereby enhancing product performance, reliability, and safety. Additionally, the review examines the role of metrology in ensuring compliance with regulatory standards and certifications, crucial for industries with stringent quality requirements. Despite its numerous benefits, precision metrology also poses challenges, such as measurement uncertainties, calibration complexities, and data interpretation issues. The review discusses these challenges in detail and explores emerging strategies and technologies aimed at mitigating them. Furthermore, it addresses the need for standardized metrological practices and international collaboration to foster interoperability and harmonization in global manufacturing ecosystems. Looking ahead, the review outlines future directions and opportunities in precision metrology, including advancements in artificial intelligence, machine learning, and Internet of Things (IoT) integration for predictive maintenance and autonomous quality control systems. It underscores the importance of continued research and innovation in metrology to address evolving manufacturing demands and ensure sustained improvements in product quality and competitiveness. In conclusion, this comprehensive review underscores the indispensable role of precision metrology in enhancing manufacturing quality, driving innovation, and shaping the future of modern industry. Keywords: Precision, Metrology, Manufacturing, Quality, Review.
精密计量在现代制造过程中发挥着举足轻重的作用,它确保了高质量标准的实现和生产效率的优化。这篇综合评论深入探讨了精密计量学在提高各行各业制造质量方面的重要作用。综述包括对先进计量技术、其应用、挑战和未来前景的研究。综述首先阐明了精密计量学的基本原理,强调了精密计量学在量化制造过程中的尺寸精度、表面光洁度和其他重要参数方面的关键作用。它探讨了计量学从传统方法到最先进技术(如坐标测量机 (CMM)、光学计量学和 3D 扫描系统)的演变过程。将这些技术集成到现代制造环境中彻底改变了质量控制流程,实现了实时监控和快速反馈机制。此外,该综述还强调了精密计量学在汽车、航空航天、电子和医疗设备等各行各业的多方面应用。它阐明了计量学的进步如何促进了具有严格公差的复杂部件的生产,从而提高了产品性能、可靠性和安全性。此外,报告还探讨了计量学在确保符合监管标准和认证方面的作用,这对于有严格质量要求的行业至关重要。尽管精密计量学具有诸多优势,但它也带来了挑战,例如测量不确定性、校准复杂性和数据解释问题。本综述详细讨论了这些挑战,并探讨了旨在缓解这些挑战的新兴战略和技术。此外,它还探讨了标准化计量实践和国际合作的必要性,以促进全球制造生态系统的互操作性和协调性。展望未来,报告概述了精密计量学的未来发展方向和机遇,包括人工智能、机器学习和物联网(IoT)集成在预测性维护和自主质量控制系统方面的进步。它强调了计量学领域持续研究和创新的重要性,以应对不断变化的制造需求,确保产品质量和竞争力的持续提高。总之,本综述强调了精密计量学在提高制造质量、推动创新和塑造现代工业未来方面不可或缺的作用。关键词精密 计量 制造 质量 综述
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引用次数: 0
PREDICTIVE ANALYTICS IN THE MAINTENANCE AND RELIABILITY OF SATELLITE TELECOMMUNICATIONS INFRASTRUCTURE: A CONCEPTUAL REVIEW OF STRATEGIES AND TECHNOLOGICAL ADVANCEMENTS 卫星通信基础设施维护和可靠性的预测分析:战略和技术进步的概念审查
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.866
Nneka Adaobi Ochuba, Favour Oluwadamilare Usman, Enyinaya Stefano Okafor, Olatunji Akinrinola, Olukunle Oladipupo Amoo
Predictive analytics is transforming the maintenance and reliability of satellite telecommunications infrastructure, offering proactive solutions to prevent downtime and enhance operational efficiency. This conceptual review explores key strategies and technological advancements driving the adoption of predictive analytics in this field. The integration of IoT devices and sensors enables real-time monitoring, providing valuable data on equipment performance and environmental conditions. Advanced algorithms, such as AI and ML, analyze this data to predict equipment failures and optimize maintenance schedules. These technologies improve the accuracy of predictive models, allowing companies to reduce downtime and improve overall infrastructure reliability. Challenges include data privacy and security concerns, as well as the integration of predictive analytics into existing maintenance processes. Companies must invest in specialized skills and expertise to implement predictive analytics successfully. Looking ahead, emerging technologies like real-time analytics and AI will continue to shape the future of predictive analytics in satellite telecommunications. Standardized practices, collaboration with industry partners, and a focus on data quality are essential for companies to harness the full potential of predictive analytics. In conclusion, predictive analytics is a game-changer for the maintenance and reliability of satellite telecommunications infrastructure. By adopting predictive analytics, companies can optimize maintenance processes, reduce downtime, and improve overall infrastructure reliability. Keywords: Predictive Analytics, Infrastructure, Telecommunications, Satellite, Reliability.
预测分析正在改变卫星通信基础设施的维护和可靠性,为防止停机和提高运行效率提供积极主动的解决方案。本概念性综述探讨了推动预测分析技术在该领域应用的关键战略和技术进步。物联网设备和传感器的集成实现了实时监控,提供了有关设备性能和环境条件的宝贵数据。人工智能和 ML 等先进算法通过分析这些数据来预测设备故障并优化维护计划。这些技术提高了预测模型的准确性,使公司能够减少停机时间,提高整体基础设施的可靠性。面临的挑战包括数据隐私和安全问题,以及如何将预测分析融入现有维护流程。公司必须在专业技能和专业知识方面进行投资,才能成功实施预测分析技术。展望未来,实时分析和人工智能等新兴技术将继续塑造卫星通信领域预测分析的未来。标准化的实践、与行业合作伙伴的合作以及对数据质量的关注,对于企业充分发挥预测分析的潜力至关重要。总之,预测分析改变了卫星通信基础设施的维护和可靠性。通过采用预测分析技术,企业可以优化维护流程、减少停机时间并提高基础设施的整体可靠性。关键词预测分析 基础设施 电信 卫星 可靠性
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引用次数: 0
THE ROLE OF AGILE PROJECT MANAGEMENT IN DRIVING INNOVATION IN ENERGY-EFFICIENT HVAC SOLUTIONS 敏捷项目管理在推动高能效暖通空调解决方案创新中的作用
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.864
Wisdom Ebirim, Danny Jose Portillo Montero, Emmanuel Chigozie Ani, Nwakamma Ninduwezuor-Ehiobu, Favour Oluwadamilare Usman, Kehinde Andrew Olu-lawal
This review delves into the significance of Agile Project Management (APM) in fostering innovation within the realm of energy-efficient Heating, Ventilation, and Air Conditioning (HVAC) solutions. As the global focus intensifies on sustainability and energy conservation, the HVAC industry stands at the forefront of addressing environmental challenges through innovative technologies. Agile methodologies, originally developed for software development, have transcended their conventional domains to revolutionize project management across various industries. This review explores how the application of Agile principles can catalyze innovation in energy-efficient HVAC solutions. Firstly, it delineates the core tenets of Agile Project Management, emphasizing iterative development, adaptive planning, and customer collaboration. By prioritizing flexibility and responsiveness to change, Agile methodologies empower HVAC project teams to swiftly adapt to evolving customer needs and technological advancements. This agility is particularly crucial in the HVAC sector, where rapid technological innovations necessitate quick iterations and constant feedback loops to refine energy-efficient solutions. Furthermore, the review elucidates how Agile frameworks such as Scrum and Kanban facilitate cross-functional collaboration and enhance communication within HVAC project teams. By fostering a collaborative environment that encourages transparency and knowledge sharing, Agile methodologies cultivate a culture of innovation wherein team members can experiment with novel ideas and swiftly pivot based on market feedback. Moreover, this review underscores the role of Agile Project Management in mitigating risks associated with innovation in energy-efficient HVAC solutions. Through frequent iterations and incremental delivery, Agile methodologies enable HVAC project teams to identify potential bottlenecks and address them proactively, thereby reducing project risks and enhancing overall project success rates. This review highlights the transformative potential of Agile Project Management in driving innovation within the energy-efficient HVAC industry. By embracing Agile methodologies, HVAC project teams can navigate the complexities of innovation more effectively, accelerate time-to-market for energy-efficient solutions, and ultimately contribute to the sustainable transformation of the HVAC sector. Keywords: Agile, Project Management, Innovation, Energy-Efficient, HVAC, Review.
本评论深入探讨了敏捷项目管理(APM)在促进高能效供暖、通风和空调(HVAC)解决方案领域创新方面的重要意义。随着全球对可持续发展和节约能源的关注不断加强,暖通空调行业站在了通过创新技术应对环境挑战的最前沿。敏捷方法最初是为软件开发而开发的,现已超越其传统领域,为各行各业的项目管理带来了革命性的变化。本综述探讨了敏捷原则的应用如何促进暖通空调节能解决方案的创新。首先,它描述了敏捷项目管理的核心原则,强调迭代开发、适应性规划和客户协作。通过优先考虑灵活性和对变化的响应,敏捷方法使暖通空调项目团队能够迅速适应不断变化的客户需求和技术进步。这种灵活性在暖通空调领域尤为重要,因为在该领域,快速的技术创新需要快速迭代和持续的反馈循环,以完善节能解决方案。此外,评论还阐明了 Scrum 和 Kanban 等敏捷框架如何促进暖通空调项目团队内部的跨职能协作并加强沟通。通过营造一个鼓励透明和知识共享的协作环境,敏捷方法培养了一种创新文化,团队成员可以在此基础上尝试新的想法,并根据市场反馈迅速做出调整。此外,本综述还强调了敏捷项目管理在降低与高能效暖通空调解决方案创新相关的风险方面的作用。通过频繁的迭代和增量交付,敏捷方法使暖通空调项目团队能够识别潜在的瓶颈并积极应对,从而降低项目风险,提高整体项目成功率。本评论强调了敏捷项目管理在推动节能暖通空调行业创新方面的变革潜力。通过采用敏捷方法,暖通空调项目团队可以更有效地驾驭创新的复杂性,加快高能效解决方案的上市时间,并最终为暖通空调行业的可持续转型做出贡献。关键词敏捷、项目管理、创新、节能、暖通空调、评论。
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引用次数: 0
EVALUATING THE INTEGRATION OF ADVANCED IT SOLUTIONS FOR EMISSION REDUCTION IN THE OIL AND GAS SECTOR 评估石油和天然气行业减排先进 IT 解决方案的整合情况
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.862
Chuka Anthony Arinze, Olakunle Abayomi Ajala, Chinwe Chinazo Okoye, Onyeka Chrisanctus Ofodile, Andrew Ifesinachi Daraojimba
The oil and gas sector is a significant contributor to greenhouse gas emissions, making the integration of advanced IT solutions imperative for emission reduction. This study evaluates the effectiveness of integrating advanced IT solutions in mitigating emissions within the oil and gas industry. The research employs a mixed-methods approach, combining qualitative analysis through literature review and quantitative analysis via case studies and data analysis. The literature review identifies various advanced IT solutions currently available, such as Internet of Things (IoT), Artificial Intelligence (AI), and Big Data analytics, and their potential applications for emission reduction in the oil and gas sector. Case studies are conducted to examine real-world implementations of these solutions by leading companies in the industry. These case studies provide insights into the challenges, benefits, and best practices associated with integrating advanced IT solutions for emission reduction. Furthermore, quantitative data analysis is conducted to assess the environmental impact of these IT solutions based on emission reduction metrics, such as carbon dioxide equivalent (CO2e) emissions and energy efficiency improvements. The findings indicate that the integration of advanced IT solutions holds significant promise for emission reduction in the oil and gas sector. IoT-enabled sensors enable real-time monitoring and optimization of operations, reducing emissions from production processes. AI algorithms enhance predictive maintenance, optimizing equipment performance and minimizing emissions from fugitive sources. Big Data analytics facilitate comprehensive emissions tracking and reporting, enabling proactive emissions management strategies. Overall, this research contributes to a deeper understanding of the potential of advanced IT solutions in reducing emissions in the oil and gas sector and provides valuable insights for industry practitioners, policymakers, and researchers alike. Keywords: IT, Emission, Reduction, Oil and Gas, Review.
石油和天然气行业是温室气体排放的重要来源,因此整合先进的 IT 解决方案对于减少排放势在必行。本研究评估了整合先进 IT 解决方案在减少石油和天然气行业排放方面的有效性。研究采用混合方法,通过文献综述结合定性分析,通过案例研究和数据分析结合定量分析。文献综述确定了目前可用的各种先进 IT 解决方案,如物联网 (IoT)、人工智能 (AI) 和大数据分析,以及它们在石油和天然气行业减排中的潜在应用。本报告还进行了案例研究,以考察业内领先企业在现实世界中实施这些解决方案的情况。通过这些案例研究,我们可以深入了解与整合先进 IT 解决方案促进减排相关的挑战、益处和最佳实践。此外,还进行了定量数据分析,根据二氧化碳当量(CO2e)排放和能效提高等减排指标,评估这些 IT 解决方案对环境的影响。研究结果表明,先进信息技术解决方案的集成为石油和天然气行业的减排带来了巨大希望。物联网传感器可实现实时监控和优化操作,减少生产过程中的排放。人工智能算法加强了预测性维护,优化了设备性能,最大限度地减少了逃逸源的排放。大数据分析有助于进行全面的排放跟踪和报告,从而实现积极主动的排放管理策略。总之,这项研究有助于深入了解先进信息技术解决方案在减少石油天然气行业排放方面的潜力,并为行业从业人员、政策制定者和研究人员提供有价值的见解。关键词信息技术 减排 石油天然气 评论
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引用次数: 0
DATA-DRIVEN SUSTAINABILITY: HOW FINTECH INNOVATIONS ARE SUPPORTING GREEN FINANCE 数据驱动的可持续发展:金融科技创新如何支持绿色金融
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.871
Wihelmina Afua Addy, Onyeka Chrisanctus Ofodile, Omotoya Bukola Adeoye, Adedoyin Tolulope Oyewole, Chinwe Chinazo Okoye, Olubusola Odeyemi, Yinka James Ololade
In recent years, the intersection of finance and sustainability has garnered significant attention as the global community grapples with the urgent need to address environmental challenges. This abstract explores the role of fintech innovations in supporting green finance through data-driven approaches. Fintech, characterized by its use of technology to enhance financial services, has emerged as a key driver of sustainability by leveraging data analytics, machine learning, and blockchain technology to promote environmental sustainability and facilitate green investments. Fintech innovations are revolutionizing green finance by providing investors, businesses, and consumers with tools and platforms to make informed decisions that align with sustainability objectives. By harnessing the power of big data and advanced analytics, fintech companies are able to analyze vast amounts of environmental, social, and governance (ESG) data to assess sustainability risks and opportunities, develop sustainable investment strategies, and track the environmental impact of financial portfolios. One of the key contributions of fintech to green finance is the development of sustainable investment platforms that enable investors to allocate capital towards environmentally friendly projects and companies. These platforms leverage data analytics to screen investments based on ESG criteria, provide transparency into the environmental footprint of investments, and empower investors to make sustainable choices that align with their values and preferences. Furthermore, fintech innovations are facilitating the integration of green finance principles into traditional financial services, such as banking, lending, and insurance. By leveraging blockchain technology, fintech companies are enhancing transparency, traceability, and efficiency in sustainable supply chains, carbon trading, and renewable energy financing. However, challenges remain in harnessing the full potential of data-driven sustainability in fintech. These challenges include data privacy and security concerns, regulatory uncertainties, and the need for greater collaboration and standardization among stakeholders. In conclusion, data-driven sustainability represents a transformative force in green finance, with fintech innovations playing a pivotal role in driving the transition to a more sustainable and resilient financial system. By leveraging data analytics and technology, fintech companies are empowering stakeholders to make informed decisions that promote environmental stewardship and support the transition to a low-carbon economy. Keywords: Data-Driven, Sustainability, Fintech, Innovation, Green Finance.
近年来,随着全球社会努力应对环境挑战的迫切需要,金融与可持续发展的交集引起了人们的极大关注。本摘要探讨了金融科技创新在通过数据驱动方法支持绿色金融方面的作用。金融科技的特点是利用技术提升金融服务,通过利用数据分析、机器学习和区块链技术促进环境可持续发展和推动绿色投资,金融科技已成为可持续发展的重要推动力。金融科技创新为投资者、企业和消费者提供了做出符合可持续发展目标的明智决策的工具和平台,正在彻底改变绿色金融。通过利用大数据和高级分析的力量,金融科技公司能够分析大量的环境、社会和治理(ESG)数据,以评估可持续发展的风险和机遇,制定可持续投资战略,并跟踪金融投资组合对环境的影响。金融科技对绿色金融的主要贡献之一是开发可持续投资平台,使投资者能够将资金分配给环境友好型项目和公司。这些平台利用数据分析技术,根据环境、社会和公司治理标准筛选投资项目,提供投资项目环境足迹的透明度,使投资者能够做出符合其价值观和偏好的可持续选择。此外,金融技术创新正在推动将绿色金融原则融入银行、贷款和保险等传统金融服务。通过利用区块链技术,金融科技公司正在提高可持续供应链、碳交易和可再生能源融资的透明度、可追溯性和效率。然而,要在金融科技领域充分发挥数据驱动的可持续发展潜力,仍然存在挑战。这些挑战包括数据隐私和安全问题、监管的不确定性以及利益相关者之间加强合作和标准化的必要性。总之,数据驱动的可持续性代表着绿色金融的变革力量,金融科技创新在推动向更具可持续性和复原力的金融体系过渡方面发挥着关键作用。通过利用数据分析和技术,金融科技公司使利益相关者能够做出明智的决策,从而促进环境管理并支持向低碳经济过渡。关键词数据驱动 可持续性 金融科技 创新 绿色金融
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引用次数: 0
INTEGRATING RENEWABLE ENERGY SOLUTIONS IN THE MANUFACTURING INDUSTRY: CHALLENGES AND OPPORTUNITIES: A REVIEW 将可再生能源解决方案纳入制造业:挑战与机遇:综述
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.865
Favour Oluwadamilare Usman, Emmanuel Chigozie Ani, Wisdom Ebirim, Danny Jose Portillo Montero, Kehinde Andrew Olu-lawal, Nwakamma Ninduwezuor-Ehiobu
Integrating renewable energy solutions into the manufacturing industry presents a critical pathway towards achieving sustainability and reducing carbon footprints. This review paper aims to explore the challenges and opportunities associated with the adoption of renewable energy technologies in manufacturing settings. Through a comprehensive analysis of existing literature and case studies, the paper identifies key barriers to integration, including high initial costs, technological limitations, and the need for skilled workforce. Additionally, it examines the role of policy frameworks, financial incentives, and technological advancements in facilitating the transition towards renewable energy. The methodology involves a systematic review of peer-reviewed articles, industry reports, and governmental policies related to renewable energy adoption in the manufacturing sector. The paper highlights the importance of strategic planning, investment in research and development, and collaboration between stakeholders as essential components for successful integration. Key findings suggest that while challenges remain significant, the opportunities for cost savings, improved energy efficiency, and enhanced corporate reputation make a compelling case for the shift towards renewable energy. The paper concludes that with supportive policies, continuous technological innovation, and stakeholder engagement, the manufacturing industry can overcome existing hurdles and significantly contribute to global sustainability goals. The review calls for further research into scalable and sector-specific renewable energy solutions to facilitate wider adoption across the manufacturing industry. Keywords: Renewable Energy, Technological Innovation, Policy and Regulatory Support, Financial Mechanisms, Capacity Building, Infrastructure Development, Market Development.
将可再生能源解决方案融入制造业是实现可持续发展和减少碳足迹的重要途径。本综述旨在探讨在制造业环境中采用可再生能源技术所面临的挑战和机遇。通过对现有文献和案例研究的综合分析,本文确定了集成的主要障碍,包括高昂的初始成本、技术限制和对熟练劳动力的需求。此外,本文还探讨了政策框架、财政激励措施和技术进步在促进向可再生能源过渡方面的作用。研究方法包括对与制造业采用可再生能源相关的同行评议文章、行业报告和政府政策进行系统回顾。论文强调了战略规划、研发投资和利益相关者之间的合作对于成功整合的重要性。主要研究结果表明,虽然挑战依然巨大,但节约成本、提高能效和提升企业声誉的机会,使我们有理由向可再生能源转变。本文的结论是,只要有支持性政策、持续的技术创新和利益相关者的参与,制造业就能克服现有障碍,为实现全球可持续发展目标做出重大贡献。综述呼吁进一步研究可扩展的、针对特定行业的可再生能源解决方案,以促进制造业更广泛地采用可再生能源。关键词可再生能源、技术创新、政策和法规支持、金融机制、能力建设、基础设施发展、市场开发。
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引用次数: 0
ADVANCES IN ULTRAPRECISION DIAMOND TURNING: TECHNIQUES, APPLICATIONS, AND FUTURE TRENDS 超精密金刚石车削的进展:技术、应用和未来趋势
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.869
Adeniyi Kehinde Adeleke, Danny Jose Portillo Montero, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Oladiran Kayode Olajiga
Advances in ultraprecision diamond turning have revolutionized manufacturing processes across various industries, offering unparalleled precision and surface quality in the fabrication of optical components, microfluidic devices, and advanced mechanical parts. This review delves into the techniques, applications, and future trends in ultraprecision diamond turning, highlighting recent advancements and potential trajectories. Techniques in ultraprecision diamond turning have evolved significantly, driven by innovations in machine design, tooling materials, and control systems. Diamond turning machines equipped with ultra-stiff structures, high-speed spindles, and advanced feedback mechanisms enable sub-nanometer level accuracy and surface finishes down to Angstrom levels. Additionally, advancements in single-point diamond turning (SPDT), fast tool servo (FTS), and deterministic microgrinding (DMG) techniques further enhance the versatility and precision of the process. Applications of ultraprecision diamond turning span a wide range of industries, including aerospace, automotive, biomedical, and telecommunications. In optics manufacturing, diamond turning facilitates the production of aspheric lenses, freeform optics, and diffractive optical elements with unprecedented accuracy, contributing to the development of high-performance imaging systems and laser applications. Moreover, in the biomedical field, diamond-turned microfluidic devices enable precise control over fluid flow and particle manipulation, empowering advancements in drug delivery systems and lab-on-a-chip technologies. Future trends in ultraprecision diamond turning are poised to address challenges related to scalability, multi-material processing, and in-situ metrology. Integration of adaptive control algorithms and machine learning techniques promises enhanced process stability and predictive maintenance, optimizing productivity and reducing downtime. Furthermore, the development of hybrid manufacturing approaches, combining diamond turning with additive manufacturing or laser processing, offers novel avenues for fabricating complex, multi-functional components with improved efficiency and cost-effectiveness. The ongoing advancements in ultraprecision diamond turning techniques, coupled with diverse applications across industries, underscore its pivotal role in advancing manufacturing capabilities. Anticipated future trends hold promise for further expanding the scope and impact of this technology, driving innovation and pushing the boundaries of precision engineering. Keywords: Ultraprecision, Diamond, Turning, Technique, Review.
超精密金刚石车削技术的进步彻底改变了各行各业的制造工艺,为光学元件、微流体设备和先进机械零件的制造提供了无与伦比的精度和表面质量。本综述深入探讨了超精密金刚石车削的技术、应用和未来趋势,重点介绍了最新进展和潜在发展轨迹。在机床设计、工具材料和控制系统创新的推动下,超精密金刚石车削技术得到了长足发展。配备超刚性结构、高速主轴和先进反馈机制的金刚石车床可实现亚纳米级精度和低至埃级的表面光洁度。此外,单点金刚石车削 (SPDT)、快速刀具伺服 (FTS) 和确定性微研磨 (DMG) 技术的进步进一步提高了工艺的通用性和精度。超精密金刚石车削的应用领域非常广泛,包括航空航天、汽车、生物医学和电信等行业。在光学制造领域,金刚石车削有助于以前所未有的精度生产非球面透镜、自由曲面光学元件和衍射光学元件,从而促进高性能成像系统和激光应用的发展。此外,在生物医学领域,金刚石车削的微流体设备可实现对流体流动和颗粒操作的精确控制,推动了药物输送系统和芯片实验室技术的进步。超精密金刚石车削技术的未来趋势是解决与可扩展性、多材料加工和原位计量有关的挑战。自适应控制算法和机器学习技术的集成有望增强工艺稳定性和预测性维护,优化生产率并减少停机时间。此外,将金刚石车削与快速成型制造或激光加工相结合的混合制造方法的发展,为制造复杂的多功能部件提供了新的途径,提高了效率和成本效益。超精密金刚石车削技术的不断进步以及在各行各业的广泛应用,凸显了其在提高制造能力方面的关键作用。预计未来的发展趋势有望进一步扩大这项技术的范围和影响,推动创新并突破精密工程的界限。关键词超精密 金刚石 车削 技术 综述
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引用次数: 0
STRATEGIC PARTNERSHIPS IN THE SATELLITE AND TELECOMMUNICATIONS SECTORS: A CONCEPTUAL REVIEW OF DATA ANALYTICS-ENABLED IDENTIFICATION AND CAPITALIZATION OF SYNERGIES 卫星和电信部门的战略伙伴关系:对借助数据分析确定和利用协同作用的概念审查
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.867
Nneka Adaobi Ochuba, Enyinaya Stefano Okafor, Olatunji Akinrinola, Favour Oluwadamilare Usman, Olukunle Oladipupo Amoo
Strategic partnerships in the satellite and telecommunications sectors have become increasingly vital as technological advancements and market complexities continue to evolve. This conceptual review delves into the significance of data analytics-enabled identification and capitalization of synergies within these partnerships. The fusion of satellite and telecommunications technologies presents unique opportunities for innovation and growth, but also challenges that necessitate strategic collaboration. By leveraging data analytics, organizations can effectively identify synergies between satellite and telecommunications services, leading to enhanced operational efficiencies, expanded service offerings, and improved customer experiences. Through a comprehensive analysis of available data, companies can pinpoint areas of overlap and complementary strengths, laying the foundation for mutually beneficial partnerships. The review explores the multifaceted nature of strategic partnerships in these sectors, emphasizing the importance of aligning technological capabilities, market strategies, and regulatory frameworks. It underscores the role of data analytics as a catalyst for informed decision-making, enabling stakeholders to anticipate market trends, optimize resource allocation, and mitigate risks. Furthermore, the review examines the implications of emerging technologies such as artificial intelligence, machine learning, and predictive analytics on partnership dynamics. These tools not only streamline data analysis processes but also empower organizations to proactively identify synergistic opportunities and adapt to evolving market dynamics in real-time. Through a synthesis of theoretical frameworks and empirical evidence, this review provides insights into the strategic imperatives guiding partnership formation and management in the satellite and telecommunications sectors. It underscores the need for a holistic approach that integrates technological expertise with business acumen and regulatory compliance to unlock the full potential of strategic collaborations. The review advocates for a proactive and data-driven approach to identifying and capitalizing on synergies within strategic partnerships in the satellite and telecommunications sectors. By harnessing the power of data analytics, organizations can navigate the complexities of the digital ecosystem, drive innovation, and achieve sustainable competitive advantage in an increasingly interconnected world. Keywords: Partnership, Telecommunication, Data Analytics, Capitalization, Enabled Identification, Review.
随着技术进步和市场复杂性的不断发展,卫星和电信领域的战略合作伙伴关系变得越来越重要。本概念性综述深入探讨了通过数据分析识别和利用这些合作关系中的协同效应的意义。卫星与电信技术的融合为创新和发展带来了独特的机遇,同时也带来了需要战略合作的挑战。通过利用数据分析,企业可以有效识别卫星和电信服务之间的协同效应,从而提高运营效率、扩大服务范围并改善客户体验。通过对现有数据的全面分析,企业可以找出重叠和优势互补的领域,为互利合作奠定基础。本综述探讨了这些领域战略合作伙伴关系的多面性,强调了协调技术能力、市场战略和监管框架的重要性。它强调了数据分析作为知情决策催化剂的作用,使利益相关者能够预测市场趋势、优化资源分配和降低风险。此外,报告还探讨了人工智能、机器学习和预测分析等新兴技术对合作伙伴关系动态的影响。这些工具不仅能简化数据分析流程,还能使组织主动识别协同机会,实时适应不断变化的市场动态。通过对理论框架和经验证据的综合分析,本综述深入探讨了指导卫星和电信行业伙伴关系形成和管理的战略要务。综述强调,需要采取综合方法,将技术专长与商业敏锐度和监管合规性结合起来,以充分释放战略合作的潜力。审查提倡采取积极主动和数据驱动的方法,以确定和利用卫星和电信部门战略合作伙伴关系中的协同效应。通过利用数据分析的力量,企业可以驾驭复杂的数字生态系统,推动创新,并在互联日益紧密的世界中实现可持续的竞争优势。关键词伙伴关系 电信 数据分析 资本化 启用识别 评论
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引用次数: 0
INTELLIGENT MONITORING SYSTEMS IN MANUFACTURING: CURRENT STATE AND FUTURE PERSPECTIVES 制造业智能监控系统:现状与未来展望
Pub Date : 2024-03-10 DOI: 10.51594/estj.v5i3.870
Oladiran Kayode Olajiga, Emmanuel Chigozie Ani, Kehinde Andrew Olu-lawal, Danny Jose Portillo Montero, Adeniyi Kehinde Adeleke
Intelligent Monitoring Systems (IMS) have emerged as indispensable tools in modern manufacturing, offering real-time insights into production processes, equipment performance, and quality control. This review provides an overview of the current state and future prospects of IMS in manufacturing environments.  The current state of IMS in manufacturing involves the integration of advanced technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics. These systems collect vast amounts of data from sensors, machines, and production lines, enabling real-time monitoring and analysis of various parameters. By employing AI and ML algorithms, IMS can identify patterns, predict anomalies, and optimize production processes, leading to increased efficiency, reduced downtime, and improved product quality. IMS play a crucial role in predictive maintenance, where they can anticipate equipment failures before they occur, thereby minimizing unplanned downtime and maintenance costs. Moreover, IMS facilitate condition-based monitoring, allowing manufacturers to monitor the health and performance of machinery in real-time and schedule maintenance activities accordingly, optimizing resource allocation and prolonging equipment lifespan. Furthermore, IMS contribute to quality control by continuously monitoring production processes and detecting deviations from desired specifications. By leveraging AI-driven algorithms, IMS can automatically adjust process parameters to maintain product quality standards and minimize defects, thereby enhancing overall product reliability and customer satisfaction. Looking ahead, the future perspectives of IMS in manufacturing are promising, with advancements in areas such as edge computing, robotics, and augmented reality poised to revolutionize manufacturing operations further. Edge computing enables data processing and analysis to occur closer to the data source, reducing latency and enhancing real-time decision-making capabilities. Robotics integration with IMS facilitates autonomous manufacturing processes, while augmented reality technologies provide intuitive interfaces for operators to interact with IMS data in real-time.  IMS represent a transformative technology in manufacturing, offering unprecedented levels of visibility, control, and optimization. As technology continues to evolve, IMS are poised to play an increasingly vital role in shaping the future of manufacturing, driving efficiency, productivity, and innovation.. Keywords: Monitoring, System, Intelligent, Manufacturing, Review, Perspectives.
智能监控系统(IMS)已成为现代制造业中不可或缺的工具,可实时洞察生产流程、设备性能和质量控制。本综述概述了 IMS 在制造环境中的现状和未来前景。 制造业 IMS 的现状涉及物联网 (IoT)、人工智能 (AI)、机器学习 (ML) 和大数据分析等先进技术的集成。这些系统从传感器、机器和生产线上收集大量数据,实现对各种参数的实时监控和分析。通过采用人工智能和 ML 算法,IMS 可以识别模式、预测异常并优化生产流程,从而提高效率、减少停机时间并提高产品质量。IMS 在预测性维护方面发挥着至关重要的作用,它们可以在设备故障发生前进行预测,从而最大限度地减少计划外停机时间和维护成本。此外,IMS 还可促进基于状态的监控,使制造商能够实时监控机器的健康状况和性能,并据此安排维护活动,从而优化资源分配,延长设备使用寿命。此外,IMS 还能持续监控生产流程,检测与预期规格的偏差,从而促进质量控制。通过利用人工智能驱动的算法,IMS 可以自动调整工艺参数,以保持产品质量标准并最大限度地减少缺陷,从而提高产品的整体可靠性和客户满意度。展望未来,IMS 在制造业中的应用前景广阔,边缘计算、机器人技术和增强现实技术等领域的进步将进一步彻底改变制造业的运营。边缘计算可使数据处理和分析更接近数据源,从而减少延迟并提高实时决策能力。与 IMS 集成的机器人技术促进了自主制造流程,而增强现实技术则为操作员提供了与 IMS 数据实时交互的直观界面。 IMS 是制造业的一项变革性技术,可提供前所未有的可视性、控制和优化水平。随着技术的不断发展,IMS 将在塑造制造业的未来、推动效率、生产力和创新方面发挥越来越重要的作用。关键字监控 系统 智能 制造 评论 展望
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引用次数: 0
THE ROLE OF ENVIRONMENTAL HEALTH AND SAFETY PRACTICES IN THE AUTOMOTIVE MANUFACTURING INDUSTRY 环境健康与安全实践在汽车制造业中的作用
Pub Date : 2024-02-25 DOI: 10.51594/estj.v5i2.830
Ayodeji Abatan, Boma Sonimitiem Jacks, Ejike David Ugwuanyi, Zamathula Queen Sikhakhane Nwokediegwu, Alexander Obaigbena, Andrew Ifesinachi Daraojimba, Oluwaseun Augustine Lottu
The automotive manufacturing industry plays a pivotal role in global economic development, providing transportation solutions while simultaneously facing multifaceted challenges related to environmental health and safety (EHS) practices. This review investigates the indispensable role of EHS practices within the automotive manufacturing sector, highlighting their significance in mitigating environmental impact, ensuring workplace safety, and complying with regulatory standards. Effective EHS practices are integral to managing environmental sustainability within automotive manufacturing. These practices encompass waste management, emissions reduction, and resource conservation strategies aimed at minimizing the industry's ecological footprint. Additionally, the adoption of eco-friendly technologies and processes, such as renewable energy integration and material recycling, contributes to the industry's overall environmental stewardship. Furthermore, prioritizing workplace safety is imperative in the automotive manufacturing sector due to its inherently hazardous operational environments. EHS initiatives focus on risk assessment, hazard identification, and the implementation of preventive measures to safeguard employees from occupational injuries and illnesses. Moreover, fostering a culture of safety awareness through training programs and regular audits promotes a conducive working environment conducive to employee well-being and productivity. Compliance with regulatory standards is a cornerstone of EHS management in the automotive manufacturing industry. Adherence to local, national, and international regulations ensures operational legality and enhances corporate reputation. Through continuous monitoring and assessment, automotive manufacturers strive to stay abreast of evolving regulatory frameworks, thereby aligning their practices with industry best practices and societal expectations. The integration of robust EHS practices is indispensable for sustainable operations and corporate responsibility within the automotive manufacturing industry. By addressing environmental concerns, ensuring workplace safety, and meeting regulatory requirements, automotive manufacturers can uphold their commitment to environmental stewardship and social accountability while maintaining operational efficiency and competitiveness in the global market. Keywords: Environment, Health, Safety, Automotive, Manufacturing, Industry.
汽车制造业在全球经济发展中发挥着举足轻重的作用,在提供运输解决方案的同时,也面临着与环境健康和安全(EHS)实践相关的多方面挑战。本综述探讨了 EHS 实践在汽车制造业中不可或缺的作用,强调了其在减轻环境影响、确保工作场所安全和遵守监管标准方面的重要意义。有效的 EHS 实践是汽车制造业环境可持续性管理不可或缺的一部分。这些实践包括废物管理、减排和资源保护战略,旨在最大限度地减少行业的生态足迹。此外,采用生态友好型技术和流程(如可再生能源集成和材料回收)也有助于该行业的整体环境管理。此外,由于汽车制造业固有的危险作业环境,优先考虑工作场所的安全问题势在必行。EHS 计划重点关注风险评估、危险识别和预防措施的实施,以保护员工免受工伤和职业病的伤害。此外,通过培训计划和定期审核来培养安全意识文化,可营造有利于员工身心健康和工作效率的工作环境。遵守法规标准是汽车制造业 EHS 管理的基石。遵守地方、国家和国际法规可确保运营的合法性,并提高企业声誉。通过持续监测和评估,汽车制造商努力跟上不断变化的监管框架,从而使其实践与行业最佳实践和社会期望保持一致。在汽车制造业中,要实现可持续运营和企业责任,就必须整合强有力的 EHS 实践。通过解决环境问题、确保工作场所安全和满足监管要求,汽车制造商可以坚持其对环境管理和社会责任的承诺,同时保持运营效率和在全球市场的竞争力。关键词环境 健康 安全 汽车 制造业 工业
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