Research of Digital Manufacturing Technology Application on Ultra-precision Optical Workpiece Machining

Digital manufacturing technology can be used in optical field to solve many problems caused by traditional machining. According to the characters of digital manufacturing and the practical applications of ultra-precision machining,the process of digital ultra-precision machining and its technical contents were presented in this paper. In the conclusions,it was stated that the digitalization of ultra-precision machining will be an economical and efficient way for the production of new sorts of optical workpieces.

345 GHz Band-Pass Filter Using Ultra-Precision Machining Technology

This paper presents a terahertz（THz）band-pass filter using ultra-precision machining technology based on Chebyshev filter prototype.This iris inductive window coupled waveguide filter was designed by using 8 resonant cavities with a center frequency of 345 GHz and a 7% bandwidth.The final design fulfills the desired specifications and presents the minimum insertion loss of 1.55 d B and the return loss of less than 15 d B at 345 GHz.The stop-band rejection is50 d B off the center frequency about 30 GHz,which means it has a good performance of high stop-band suppression.Compared with the recent development of THz filters,this filter possesses the characteristic of simple structure and is easy to machining.

Elbow precision machining technology by abrasive flow based on direct Monte Carlo method

The investigation was carried out on the technical problems of finishing the inner surface of elbow parts and the action mechanism of particles in elbow precision machining by abrasive flow.This work was analyzed and researched by combining theory,numerical and experimental methods.The direct simulation Monte Carlo(DSMC)method and the finite element analysis method were combined to reveal the random collision of particles during the precision machining of abrasive flow.Under different inlet velocity,volume fraction and abrasive particle size,the dynamic pressure and turbulence flow energy of abrasive flow in elbow were analyzed,and the machining mechanism of particles on the wall and the influence of different machining parameters on the precision machining quality of abrasive flow were obtained.The test results show the order of the influence of different parameters on the quality of abrasive flow precision machining and establish the optimal process parameters.The results of the surface morphology before and after the precision machining of the inner surface of the elbow are discussed,and the surface roughness Ra value is reduced from 1.125μm to 0.295μm after the precision machining of the abrasive flow.The application of DSMC method provides special insights for the development of abrasive flow technology.

Using AI and Precision Nutrition to Support Brain Health during Aging

Artificial intelligence, often referred to as AI, is a branch of computer science focused on developing systems that exhibit intelligent behavior. Broadly speaking, AI researchers aim to develop technologies that can think and act in a way that mimics human cognition and decision-making [1]. The foundations of AI can be traced back to early philosophical inquiries into the nature of intelligence and thinking. However, AI is generally considered to have emerged as a formal field of study in the 1940s and 1950s. Pioneering computer scientists at the time theorized that it might be possible to extend basic computer programming concepts using logic and reasoning to develop machines capable of “thinking” like humans. Over time, the definition and goals of AI have evolved. Some theorists argued for a narrower focus on developing computing systems able to efficiently solve problems, while others aimed for a closer replication of human intelligence. Today, AI encompasses a diverse set of techniques used to enable intelligent behavior in machines. Core disciplines that contribute to modern AI research include computer science, mathematics, statistics, linguistics, psychology and cognitive science, and neuroscience. Significant AI approaches used today involve statistical classification models, machine learning, and natural language processing. Classification methods are widely applicable to problems in various domains like healthcare, such as informing diagnostic or treatment decisions based on patterns in data. Dean and Goldreich, 1998, define ML as an approach through which a computer has to learn a model by itself from the data provided but no specification on the sort of model is provided to the computer. They can then predict values for things that are different from the values used in training the models. NLP looks at two interrelated concerns, the task of training computers to understand human languages and the fact that since natural languages are so complex, they lend themselves very well to serving a number of very useful goals when used by computers.

A Framework for Introducing Precision Agriculture Technologies in Egypt

Precision Agriculture(PA)has been used in many countries and serving the agricultural sectors.The use of PA solutions intervened with many agricultural businesses and supported decision making using data analytics.Precision Agriculture depends on weather,soil,plants,and water information that are essential for farming.Precision Agriculture depends on the use of several technologies such as image sensors,vision machines,drones,robots,machine learning,and artificial intelligence.The use of Precision Agriculture Technologies(PAT)depends on integration between devices,sensors,and systems to ensure the proper implementation of activities.This paper is generated from research on the applicability of PA in in Egypt that ended with a proposed framework for proper implementation of it.The conducted research depended on a survey,focus group discussions,and an online questionnaire that reached 271 respondents from 19 Egyptian governorates.The framework has been developed to enhance the role of an initiative leader to promote PAT through collaboration with other stakeholders in the agricultural sector.The proposed framework can be used by governmental,non-governmental entities,universities and private sector institutions and could be used at countries facing issues with land fragmentation,limited access to information,limited access to agricultural extension services,and increase in agricultural input’s prices.

压电驱动在超精密加工领域的应用现状与发展趋势综述

超精密加工中,为实现微/纳米级的加工精度,必须提供更高精度的驱动装置和控制技术。压电驱动具有精度高、振动频率高、力密度高、响应快、无电磁干扰、能断电自锁和优良的环境适应性等优点,被广泛应用在超精密加工领域,已成为超精密加工技术中的一项核心关键技术。首先系统阐述了压电驱动技术的致动原理、分类和特点,对压电驱动的致动原理和发展现状进行了分析;然后从加工、定位和抑制振动3个方面介绍了压电驱动技术在超精密加工中的应用现状,最后对压电驱动技术的发展方向进行了讨论及展望。

基于物联网技术的水肥药一体机智能控制系统设计研究

农业生产中,传统的水肥药管理方法由于缺乏精准控制,常常导致资源浪费和环境污染,物联网技术的发展为解决这些问题提供了新的可能性,通过智能化的设备连接和数据分析,能够实现对农业资源的精准管理和优化利用。针对传统水肥药管理方法存在的不足,进行了基于物联网技术的水肥药一体机智能控制系统的设计研究,以实现对作物生长环境的实时监测和自适应控制,达到节水、节肥、合理用药,提升作物品质和产量的目的,为现代精准农业的发展提供强有力的技术支持。

现代加工技术在农业机械加工中的应用研究

随着现代科技的不断发展,现代加工技术逐渐被应用于农业机械领域,推动了农业现代化的发展。现代加工技术可以提高农业机械零部件的耐久性,进而提升农业生产的效率和质量。文章分析现代加工技术在农业机械加工中的应用,探讨该技术对农业机械生产效率和质量的积极影响,系统阐述精密加工技术的发展现状及其在农业机械加工中的应用。研究结果表明,现代加工技术的应用为农业机械的现代化发展提供了强有力的支持,对提升农业生产效率、推动农业可持续发展具有重要意义。

水稻机械育插秧技术研究进展

比较了我国水稻生产中不同水稻机插秧方式、机插播种育秧方式的优缺点,分析了传统杂交稻机插技术存在的问题,进而创新提出杂交稻精准播种机插技术,并展望了水稻绿色机插技术的发展。

现代机械加工技术在农业机械制造中的应用

现代机械加工技术对于提高农业机械制造生产效率、降低成本、改善产品性能具有重要意义,是促进农业现代化和可持续发展的重要技术保障。该文选取精密加工技术、纳米加工技术和激光精密加工技术为代表,分析不同现代机械加工技术在农业机械制造中的应用原理、技术特征及发展优势。未来应该逐步降低现代机械加工技术的成本、提高其适用性,同时加强与农业机械制造相关的创新研究,持续关注可持续性和环保性,推动农业机械制造向更加智能化和绿色化的方向发展。

基于机器视觉技术的高精度光学仪器表面动态变形测量研究

伴随着光学仪器精度的逐渐提高,其表面动态变形事件发生频率也呈现急剧增加的趋势,是影响与制约光学仪器发展与应用的主要因素之一。为了满足光学仪器的应用需求,提出基于机器视觉技术的高精度光学仪器表面动态变形测量方法。采用机器视觉设备获取高精度光学仪器表面图像,对表面图像进行灰度化处理、去噪处理与增强处理,以此为基础,应用SURF特征检测算法提取表面图像的特征点,通过FLANN算法匹配相邻图像的特征点,利用Delaunay三角化在表面图像区域形成三角网格,进一步计算表面图像特征点的位移与应变,从而实现高精度光学仪器表面动态变形的测量。实验数据显示:在横坐标为1μm时,应用提出方法获得的表面动态变形位移纵坐标为1.8μm,与实际位移基本保持一致,在实验组别为6时,应用提出方法获得的光学仪器表面动态变形应变数值为3μm,与实际应变数值保持一致,充分证实了提出方法具备较好的应用性能。

重载荷高精度对辊成型机架的工艺研究

氰化钠对辊成型机属于重载荷高精度设备,对辊成型机架是其关键部件,其直接关系到氰化钠成型机的运行安全。针对氰化钠成型特殊使用要求,给出机架制造工艺的实例,从材料选用、焊接工序设计、焊后热处理、精密机械加工等方面阐述对辊成型机架的工艺设计要点,通过无损检测检验和用户使用验证结果表明,该成型机架工艺设计合理、可靠。

机械制造工艺及精密加工技术

现阶段市场上出现了多种类型的机械设备,这些机械的应用范围显著扩大,在很多领域都发挥了其功能优势。随着机械产品需求的增多,人们对机械制造及加工提出了全新的要求,各企业需从这些要求出发,创新机械制造及加工工艺。在信息技术支持下,机械制造工艺、精密加工技术取得了一定的发展成效,未来的工作中相关人员需继续研究这些工艺技术,保持技术创新性。基于此,本文重点分析了机械制造工艺及精密加工技术的发展及应用现状,以期为实际工作提供参考与借鉴。

精密加工技术在机械制造中的应用

阐述精密加工技术类型,包括超精密研磨、精密切削、纳米加工、精冲技术。分析零件类型和变形模式、合理应用CAD软件和几何数据模型,提出机械制造工艺和精密加工技术的操作措施。

现代机械制造工艺及精密加工技术的应用

铝合金复杂薄壁件在加工过程中,受到铣刀和夹具的作用力,容易出现较大的变形,降低了工件的加工精度。为了解决该问题,研究过程以薄壁铝合金导轨为分析对象,建立铝合金材料切削时的应力计算模型,借助有限元仿真技术模拟最佳的装夹方式、装夹作用力以及机械加工参数。结果显示,此类构件宜采用底部设置压板、两侧设置支撑点的装夹方式,通过合理控制装夹作用力和加工参数,可将变形量和内应力降至较低的水平,从而实现精密加工。

机械自动化在精密加工技术中的应用

机械自动化是一种将机器人和计算机技术应用于制造过程的方法,其在精密加工技术中的应用已成为一个热门研究方向,该技术通过提高生产效率、稳定性和精度,降低人力成本和错误率,使得精密加工领域的生产更加智能化和高效化。首先,介绍了精密加工技术的概念和发展历程,然后,阐述了机械自动化技术在精密加工领域中的应用;最后,介绍了机械自动化技术在精密加工领域中的应用案例。未来,随着科技的不断发展和技术的不断进步,机械自动化技术将会在精密加工领域中发挥更加重要的作用。

现代机械制造工艺与精密加工技术探析

阐述现代机械制造工艺与精密加工技术的特点和应用,包括气体保护焊工艺、现代机械制造工艺、搅拌摩擦焊接工艺、埋弧焊接工艺分析,探讨数控机床、模具成型技术的应用。

光学元件超精密磨抛加工技术研究与装备开发

在深入实施“中国制造2025”的契机下,我国的超精密加工领域突破了许多关键瓶颈技术,并取得了众多显著的科研成果,建设了一批高水平超精密加工技术创新平台、人才成长平台和应用示范基地,开创了一条我国超精密产业的自主创新发展之路,解决了该领域一些相对应的技术难关。本文主要介绍了厦门大学精密工程实验室在光学超精密加工技术与装备方面的研究进展,围绕大口径光学非球面元件的磨削与抛光加工,阐述课题组研发的加工工艺、磨削与抛光装备、装备监控与控制软件以及相关单元技术。这些研究成果可为实现高端光学元件的超精密加工提供制造加工技术支持与装备解决方案。

国产浆纱机的技术发展历程与展望

总结20世纪50年代至今不同阶段国产浆纱机的发展历程及其技术创新内容。以浆纱机车速和上浆工作幅宽决定的单位时间产量为指标,将国产浆纱机划分为第一代至第四代(产量水平分别在50 m^(2)/min、100 m^(2)/min、200 m^(2)/min、400 m^(2)/min)。介绍了各代国产浆纱机在上浆、压浆、烘燥、主传动、经轴退绕和织轴卷绕等装置层面的显著创新和迭代。指出:国产浆纱机在机器工作幅宽、经轴和织轴的大卷装和高速化方面取得突破性进展,满足了当今喷气、剑杆等无梭织机高速高效织造对浆纱可织性的要求;智能化浆纱机还应在经纱退绕张力、压浆力和回潮率精准调控,浆纱断头监测和纱线毛羽在线检测方面进行深入研究。

新时期背景下机械制造工艺分析及其精密加工技术的应用研究

科学技术是第一生产力,随着中国经济的繁荣发展,新时期对机械制造工艺提出全新的要求,以促使机械生产效率提升,为我国机械工业发展提供强有力的支撑。基于此,该文从机械制造工艺与精密加工技术入手,深入分析其技术特点,明确其应用优势,探索其技术的应用实践,分析当前背景下行业未来发展趋势,推进现代机械工业发展。