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SAE International Journal of Materials and Manufacturing最新文献

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Study of the Grain Growth Kinetics and Its Influence on Mechanical Behavior of Plain Carbon Steel 普通碳钢晶粒生长动力学及其对力学行为影响的研究
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-08-18 DOI: 10.4271/05-16-01-0002
M. M. Blaoui, Boutouta Aziza, Hammoudi Abderazek, Bouchoucha Ali
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引用次数: 1
Integration Model for Demand-Driven Material Requirement Planning and Industry 4.0 需求驱动的物料需求规划与工业4.0的集成模型
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-08-09 DOI: 10.4271/05-16-01-0001
Mustapha El Marzougui, Najat Messaoudi, W. Dachry, B. Bensassi
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引用次数: 1
Experimental Research on the Dynamic Characteristics of Wire Rope Transverse Shock Wave 钢丝绳横向冲击波动态特性的实验研究
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-08-09 DOI: 10.4271/05-16-01-0003
Zheyingzi Zhu, Yong-bo Guo, W. Ma
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引用次数: 0
A Novel Cloud-Based Additive Manufacturing Technique for Semiconductor Chip Casings 一种新的基于云的半导体芯片外壳增材制造技术
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-08-02 DOI: 10.4271/05-15-04-0025
S. Viswanath, S. Siddharth, Jeyanthi Subramanian
The demand for contactless, rapid manufacturing has increased over the years, especially during the COVID-19 pandemic. Additive manufacturing (AM), a type of rapid manufacturing, is a computer-based system that precisely manufactures products. It proves to be a faster, cheaper, and more efficient production system when integrated with cloud-based manufacturing (CBM). Similarly, the need for semiconductors has grown exponentially over the last five years. Several companies could not keep up with the increasing demand for many reasons. One of the main reasons is the lack of a workforce due to the COVID-19 protocols. This article proposes a novel technique to manufacture semiconductor chips in a fast-paced manner. An algorithm is integrated with cloud, machine vision, sensors, and email access to monitor with live feedback and correct the manufacturing in case of an anomaly. Several real-Time data such as performance graphs, time left, and other current information were sent back to the user on demand. An experiment was set up to optimize deposition parameters. The experiment was successfully executed and stated the advantage of cloud-based AM. ©
多年来,特别是在COVID-19大流行期间,对非接触式快速制造的需求有所增加。增材制造(AM)是一种快速制造,是一种基于计算机的精确制造产品的系统。当与基于云的制造(CBM)集成时,它被证明是一个更快、更便宜、更高效的生产系统。同样,对半导体的需求在过去五年中呈指数级增长。由于种种原因,一些公司无法满足日益增长的需求。其中一个主要原因是由于COVID-19协议而缺乏劳动力。本文提出了一种快速制造半导体芯片的新技术。一种算法集成了云、机器视觉、传感器和电子邮件访问,以实时反馈进行监控,并在出现异常情况时纠正制造过程。一些实时数据(如性能图、剩余时间和其他当前信息)可以根据需要发送回给用户。建立了优化沉积参数的实验。实验成功实施,说明了基于云的增材制造的优势。©
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引用次数: 1
Knowledge-Based Tool for Assurance of Car Body Dimensional Quality in Design 基于知识的车身设计尺寸质量保证工具
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-08-02 DOI: 10.4271/05-15-04-0027
Kirti Singh, Amit Bhise, Sarang Kshirsagar, Navalkumar Kavthekar, Prashant Rayjade, D. Sahu, Amar S. Lokhande
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引用次数: 0
Multi-objective Optimization under Uncertainty of a Continuously Variable Transmission for a 1.5 MW Wind Turbine 1.5 MW风力发电机组无级变速器不确定多目标优化
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-08-02 DOI: 10.4271/05-15-04-0026
Abderazzak Ziat, H. Zaghar, Abdelmajid Ait Taleb, M. Sallaou
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引用次数: 1
Multi-objective Methodology for Design and Environmental Analysis in the Automotive Field 汽车领域设计与环境分析的多目标方法
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-06-23 DOI: 10.4271/05-15-04-0024
A. Antonacci, F. Del Pero, N. Baldanzini, M. Delogu
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引用次数: 2
Machine Learning Models for Weld Quality Monitoring in Shielded Metal Arc Welding Process Using Arc Signature Features 基于电弧特征的保护金属弧焊焊接质量监测机器学习模型
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-05-31 DOI: 10.4271/05-15-04-0023
K. Rameshkumar, A. Vignesh, P. Gokula Chandran, V. Kirubakaran, J. Sankaran, A. Sumesh
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引用次数: 3
Investigation of Forming Process for High-Expansion-Ratio AL6061 Tube Using Rotary Swaging 高膨胀比AL6061管件旋转挤压成形工艺研究
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-04-22 DOI: 10.4271/05-15-04-0021
Li-Wei Chen, Zhihua Cao
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引用次数: 0
Research on Transient Thermal-Structural Coupling Characteristics and Thermal Error Prediction of Ball Screw Feed System 滚珠丝杠进给系统瞬态热-结构耦合特性及热误差预测研究
IF 0.8 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY Pub Date : 2022-04-21 DOI: 10.4271/05-15-04-0020
B. Man, Y. Guo, Guangzhong Ji, Xiying Fan
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引用次数: 1
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SAE International Journal of Materials and Manufacturing
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