Advancements in machine learning for material design and process optimization in the field of additive manufacturing

Additive manufacturing technology is highly regarded due to its advantages,such as high precision and the ability to address complex geometric challenges.However,the development of additive manufacturing process is constrained by issues like unclear fundamental principles,complex experimental cycles,and high costs.Machine learning,as a novel artificial intelligence technology,has the potential to deeply engage in the development of additive manufacturing process,assisting engineers in learning and developing new techniques.This paper provides a comprehensive overview of the research and applications of machine learning in the field of additive manufacturing,particularly in model design and process development.Firstly,it introduces the background and significance of machine learning-assisted design in additive manufacturing process.It then further delves into the application of machine learning in additive manufacturing,focusing on model design and process guidance.Finally,it concludes by summarizing and forecasting the development trends of machine learning technology in the field of additive manufacturing.

Practice Teaching Reform of Mechanical Design and Manufacture and Its Automation Specialty under Transformation and Development

With the development of the times, undergraduate colleges and universities begin to transform and develop to adapt to the changing society, and put forward new requirements for practical teaching strategies, especially for applied undergraduate colleges. The reform of practical teaching is particularly important. Under the development of education transformation, the reform of mechanical design and manufacture and the practice teaching of automation specialty also occupy a very important position. Through the understanding of the reform of the practical teaching of this specialty, the effect of the reform is observed, and a reasonable teaching scheme is put forward to promote the steps of the transformation of the practical teaching.

An Open CAM System for Dentistry on the Basis of China-made 5-axis Simultaneous Contouring CNC Machine Tool and Industrial CAM Software

China-made 5-axis simultaneous contouring CNC machine tool and domestically developed industrial computer-aided manufacture （CAM） technology were used for full crown fabrication and measurement of crown accuracy, with an attempt to establish an open CAM system for dental processing and to promote the introduction of domestic dental computer-aided design （CAD）/CAM system. Commercially available scanning equipment was used to make a basic digital tooth model after preparation of crown, and CAD software that comes with the scanning device was employed to design the crown by using domestic industrial CAM software to process the crown data in order to generate a solid model for machining purpose, and then China-made 5-axis simultaneous contouring CNC machine tool was used to complete machining of the whole crown and the internal accuracy of the crown internal was measured by using 3D-MicroCT. The results showed that China-made 5-axis simultaneous contouring CNC machine tool in combination with domestic industrial CAM technology can be used for crown making and the crown was well positioned in die. The internal accuracy was successfully measured by using 3D-MicroCT. It is concluded that an open CAM system for den-tistry on the basis of China-made 5-axis simultaneous contouring CNC machine tool and domestic industrial CAM software has been established, and development of the system will promote the introduction of domestically-produced dental CAD/CAM system.

HISTORICAL PROCEDURES AND G-DSG METHOD BASED MANUFACTURING PLANNING

Oriented to CAD/CAM seamless integration, this paper presents an idea for synthetically considering the qualitative history model, which represents the whole course of modeling, and the quantitative geometry model, which contains the extended Brep model, CSG and feature pedigree. History model building captures in background the dynamic interactive definition of engineering requirement and then explicitly conveys the original intention to successive application layers, which is conductive to the decision support of manufacturing planning in not only automatic geometry re constructing but also machining set up. G DSG theory as an earlier achievement is applied to generate the topology independent generalized mid model as an input to manufacturing planning, which is therefore simplified and its accuracy is simultaneously improved. Manufacturing planning lays emphasis on optimizing the mapping in both geometry and function from part itself to detail machining scheme. Comparatively, process planning pays more attention to the mapping to those items like tool, fixture, etc. Theoretically, such an idea is also beneficial to realizing the parametric NC machining trajectory generation and maintaining its dynamic consistency with the update of the design model.[WT5”HZ]

Generative Learning in VLSI Design for Manufacturability: Current Status and Future Directions

With the continuous scaling of integrated circuit technologies,design for manufacturability(DFM)is becoming more critical,yet more challenging.Alongside,recent advances in machine learning have provided a new computing paradigm with promising applications in VLSI manufacturability.In particular,generative learning-regarded among the most interesting ideas in present-day machine learning-has demonstrated impressive capabilities in a wide range of applications.This paper surveys recent results of using generative learning in VLSI manufacturing modeling and optimization.Specifically,we examine the unique features of generative learning that have been leveraged to improve DFM efficiency in an unprecedented way;hence,paving the way to a new data-driven DFM approach.The state-of-the-art methods are presented,and challenges/opportunities are discussed.

Design and Fabrication of a Three Dimensional Commemorative Artistic Plaque

In this paper, design and fabrication of a commemorative plaque are described and presented. The plaque was fabricated to honour the memory of the 14 women massacred at L＇Ecole Polytechnique in Montreal. This plaque is the result of a project partnership between the Faculties of Engineering and Fine Arts, and was sponsored by the Office of the Vice-President Academic and Provost. An art design was selected through a contest coordinated by the Visual Arts Departmment. The selected art design was then turned over to the Mechanical Engineering Department to be converted to a 3-dimensional （3D） solid model and then eventually fabricated on a computer numerical control （CNC） milling machine. The fabricated plaque was unveiled during the December 2010 Memorial event at UVic.

Design and Evaluation of a User Interface for an Autonomous Agricultural Sprayer

This paper describes the design and evaluation of a user interface for a remotely supervised autonomous agricultural sprayer. The interface was designed to help the remote supervisor to instruct the autonomous sprayer to commence operation, monitor the status of the sprayer and its operation in the field, and intervene when needed (i.e., to stop or shut down). Design principles and guidelines were carefully selected to help develop a human-centered automation interface. Evaluation of the interface using a combination of heuristic, cognitive walkthrough, and user testing techniques revealed several strengths of the design as well as areas that needed further improvement. Overall, this paper provides guidelines that will assist other researchers to develop an ergonomic user interface for a fully autonomous agricultural machine.

Measurement and Compensation of Deviations of Real Tooth Surface of Spiral Bevel Gear

This paper presents a method for measurement of deviation of the real gear tooth surface from the theoretical one with a coordinate measurement machine and compensation of repeatable parts. By investigation of characteristics of distortion of the gear tooth surface along the circle direction, the deviation is derived from distortion, and the definition of deviation with the geometrical invariability is proposed. Then the approach for determination of the location and orientation of the gear with respect to the coordinate measurement machine and the measurement way are developed. The deviation is represented with a difference surface, and an algorithm for derivation of parameters of global form deviations from the discrete points has been provided. Finally, the compensation approach is discussed.

基于Automation Studio的造纸机液压系统设计与仿真

液压系统给造纸机压辊提供稳定和可靠的压力来完成纸页的压榨脱水和压光。本文使用Automation Studio设计造纸机的液压系统,并对造纸机各压榨上辊的落下预压、加压和抬起复位等工作过程进行模拟仿真,仿真结果表明,设计的液压系统能以很好的压力稳定性和可靠性完成压榨工作。将设计的液压系统应用于造纸机,液压系统的运行效果基本与仿真结果相同。表明这种设计和仿真方法能准确地模拟实际液压系统的工作状态,它建模过程简单,运行参数调节方便,为液压系统设计及运行优化提供了一种好工具。

AUTOMATIC APPROACH TO PRODUCT CONCEPTUAL DESIGN BASED ON CONSTRAINT NETWORK

Product design is considered as the constraint satisfaction problem (CSP),and a new design approach basedon constraint network is proposed and applied to make designautomatic partially. By means of constraint extraction, constraint network construction andoperation, constraint chains are acquired, and then the conceptual design scheme can be got bydecoding the information stored in the design constraint chains, which provides a novelty method formechanical product design automation. Shearing mechanism of shearing machine has been designed bythis way.

Research on steel-fibber polymer concrete machine tool structure

Researched on the design and manufacturing of machine tool bed made by Steel-fibber Polymer Concrete(SFPC),which analyzed the static,dynamic and thermal performances of the bed.The results of study prove that machine tool bed made with SFPC is much more superiority than made in cast iron in dynamic and thermal perform- ances,and is more superiority then made in Polymer Concrete (PC) in static perform- ances.It can be concluded that the static,dynamic and thermal properties of machine tool can be improved by manufacturing machine tool bed with SFPC.Also SFPC machine tool bed posses some other advantages in the following: short development time,simple pro- duction process,reducing cost cost,saving energy,iron and steel.

JINAN NO. 2 MACHINE-TOOL WORKS

The Jinan No. 2 Machine-Tool Works. the largest manufacturer of mechanical presses and large metal surface-machining equipment in China, enjoys import and export autonomy. Its major products are various heavy-duty and super-heavy mechanical presses and their automation systems (robots); various double housing milling-boring machines, flexible manufacturing machines, many other large heavy-duty CNC machines and cutting machines, such as slotters, broachers

机械设计制造及其自动化技术在智能制造领域的应用

结合机械设计制造及其自动化技术的基本情况,主要对其在智能制造领域的应用进行分析,确保机械设计制造及其自动化技术能发挥相应作用,让机械设计制造及其自动化技术能满足智能制造领域的工作需求,在分析时,主要对机械设计制造及其自动化技术的优势进行研究,再分析其在智能制造领域的应用进行研究,推动智能制造领域的稳健发展。

基于eHMI的车外人机交互信任影响因素研究

目的更好地发挥车外人机交互界面(eHMI)的潜在优势,研究车外人机交互过程中的信任影响机制。方法首先基于自动化信任理论,提出感知可靠性、感知透明度、感知熟悉度、感知车辆性能、感知品牌信誉和感知主观倾向等6个车外人机交互信任影响因素,然后使用结构方程模型的方法对305名被调查者进行数据分析,由此建立车外人机交互信任影响因素的理论模型。结果行人通过对eHMI信号感知而形成的信任能够影响对自动驾驶汽车的信任,行人对eHMI的信任一定程度上转移成为行人对车辆的信任,eHMI的辅助作用得到体现。强调了eHMI设计中感知可靠性的重要性,这能够被熟悉度、透明度和品牌信誉所影响。同时,行人的主观倾向和对车辆性能的感知也是影响信任水平的重要因素。结论研究结果为车外人机交互信任对于自动驾驶汽车在未来道路上使用的重要性提供了证据,同时也为eHMI的设计提供了参考和建议。

基于自动化技术的机床电气控制系统改造的设计分析

现代工业发展对工作设备的要求较高,包括机床在内,这为其电气控制系统改造、自动化技术的应用提供了空间。以基于自动化技术的机床电气控制系统改造优势为切入点,分析其设计思路、设计实现方法,包括通信系统、感知系统、决策系统等,并结合模拟实验对上述内容进行论证。最后就自动化技术下机床电气控制系统改造进行展望,服务后续有关工作。

儿童带环丝圈式间隙保持器的椅旁数字化设计与制作方法初探

目的提出一种儿童带环丝圈式间隙保持器的椅旁数字化设计与制作方法,并初步验证其临床可行性。方法选取10例因乳牙早失需要进行间隙保持的患儿为研究对象,采集患儿口内扫描数据建立缺牙数字模型,使用自主研发的儿童带环丝圈式间隙保持器设计软件,完成个性化带环与丝圈结构的快速设计,生成一体化带环丝圈式间隙保持器的数字模型。分别采用椅旁金属数控切削工艺(试验组)和技工室金属3D打印工艺(对照组)制作间隙保持器。对保持器进行模型试戴,邀请儿童口腔高年资专家采用视觉模拟评分法(VAS)从间隙保持器的密合度、就位稳定性两个方面进行评价,并进行统计学分析。结果试验组10例间隙保持器的设计及制作总时间均小于1 h。统计分析结果表明,2组间隙保持器均满足临床使用需求,试验组间隙保持器的密合度、稳定性优于对照组。结论本研究提出的儿童带环丝圈式间隙保持器的椅旁数字化设计与制作方法,可实现初次就诊当日佩戴间隙保持器,临床可行性好,具有良好的临床应用潜力。

机器学习辅助微架构功耗建模和设计空间探索综述

微架构设计是处理器开发的关键阶段,处在整个设计流程的上游,直接影响性能、功耗、成本等核心设计指标.在过去的数十年中,新的微架构设计方案,结合半导体制造工艺的进步,使得新一代处理器能够实现更高的性能和更低的功耗、成本.然而,随着集成电路发展至“后摩尔时代”,半导体工艺演进所带来的红利愈发有限,功耗问题已成为高能效处理器设计的主要挑战.与此同时,现代处理器的架构愈发复杂、设计空间愈发庞大,设计人员期望进行快速精确的指标权衡以获得更理想的微架构设计.此外,现有的层层分解的设计流程极为漫长耗时,已经难以实现全局能效最优.因此,如何在微架构设计阶段进行精确高效的前瞻性功耗估计和探索优化成为关键问题.为了应对这些挑战,机器学习技术被引入到微架构设计流程中,为处理器的微架构建模和优化提供了高质量方案.首先介绍了处理器的主要设计流程、微架构设计及其面临的挑战,然后阐述了机器学习辅助集成电路设计,重点在于使用机器学习技术辅助微架构功耗建模和设计空间探索的研究进展,最后进行总结展望.

基于机器学习的增材制造用高温合金设计:研究现状与未来趋势

机器学习辅助材料设计是一种高效的合金设计方法,该方法结合高通量计算/实验技术能够极大推动材料领域的发展。然而,目前材料研究者尚未充分利用该方法。针对上述问题,详细介绍了基于机器学习的高温合金设计的基本方法,包括数据收集与预处理、模型建立与训练、合金性能预测等步骤,阐述了增材制造用高温合金的设计现存困难和亟待解决“权衡裂纹敏感性与高温性能”的关键问题,深入分析了机器学习在增材制造用高温合金设计中的必要性。从高温合金数据获取、性能预测、合金设计等方面梳理了机器学习辅助增材制造用高温合金设计的应用现状,指出了该领域目前存在的数据来源、建模范式、模型的应用与推广等核心问题,并对该领域后续的发展提供了建议。

地方应用型高校机械设计制造及其自动化专业生产实习改革策略研究

随着工业技术的迅速发展,地方应用型高校机械设计制造及其自动化专业在培养工程技术人才方面发挥着重要作用。然而,传统的生产实习模式面临着教育内容与实际需求不匹配、实习资源短缺等问题。为了提高学生实践能力和适应现代工业发展的要求,本文针对地方应用型高校机械设计制造及其自动化专业探讨了生产实习改革策略,以期为相关人员提供有益的参考。

人工智能技术在机械设计及自动化中的设计应用

文章以人工智能技术为研究对象,阐述了人工智能技术在机械设计及自动化中的实施范式;并结合实际应用场景案例,从CAD智能设计、工业生产制造、机械制造方案预设、智能计算与存储、自动故障诊断等方面进行详细分析;并从不同维度提出了人工智能技术在机械设计及自动化中的设计应用思路,为人工智能的具体实践提供参考。