High-Precision Drop-on-Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning

NIAID Data Ecosystem2026-05-02 收录

精密液滴打印

制造优化

数据链接：

https://data.mendeley.com/datasets/tk2y8tsn3z 数据链接链接失效反馈

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资源简介：

Video of comparison between experimental and theoretical results.

创建时间：

2024-07-01

电驱动传动系统自动化集成装配技术测试数据集

自动化装配

制造优化

本数据集主要面向数据集主要面向重型矿卡电驱动传动系统灯塔工厂级自动化装配工艺优化、设备互联效率分析及智能物流调度等研究方向，为离散型制造向智能制造转型提供可量化的产线运行数据与装配工艺方案。数据集由研究报告、专利文档及四份支撑数据表格组成，研究报告主要包括基于灯塔工厂的电驱动传动系统自动化集成装配工艺，主要完成了3D视觉激光传感器测距方案设计、六自由度电驱动传动系统装配平台设计以及矿卡自动化组装产

国家基础学科公共科学数据中心140

ROTARY CUTTER AND MANUFACTURING METHOD OF THE SAME

机械设计

制造优化

PROBLEM TO BE SOLVED: To improve replacement workability of a cutter body by enabling replacement of only the cutter body， in which chipping， etc. has occurred， out of a plurality of cutter bodies. SO

国家林业和草原科学数据中心2023-02-12 更新90

Joint Optimization of Production and Maintenance for Cost-effective Manufacturing and Demand Response Participation Dataset - Joint Optimization of Production and Maintenance

生产维护协同调度

制造优化

Using the previous datasets at , , , and a joint optimization of production and maintenance scenario was formulated which aims at combining all the features from the cited scenarios. For energy sel

NIAID Data Ecosystem40

Results from the paper: A matter of course: Generating optimal manufacturing instructions from a structural layup plan of a wind turbine blade

风力涡轮机叶片

制造优化

This is the complete results of the journal paper "A matter of course: Generating optimal manufacturing instructions from a structural layup plan of a wind turbine blade" [insert reference w

doi.org2023-01-12 更新120

Big Dataset of Optical-Wireless Cyber-Physical Systems for Optimizing Manufacturing Services in the Internet of Things-enabled Industry 4.0

工业光无线通信

制造优化

• The data presented in the article provides a fundamental building block of the next-generation Internet of things-enabled optical-wireless communication architectures for big data gathering in the e

NIAID Data Ecosystem80

High-Precision Drop-on-Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning

资源简介：

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