Knowledge-Driven Manufacturing Process Innovation: A Case Study on Problem Solving in Micro-Turbine Machining
Micromachining techniques have been applied widely to many industrial sectors, including aerospace, automotive, and precision instruments. However, due to their high-precision machining requirements, and the knowledge-intensive characteristics of miniaturized parts, complex manufacturing process pro...
Enregistré dans:
Auteurs principaux: | Dong Zhang, Gangfeng Wang, Yupeng Xin, Xiaolin Shi, Richard Evans, Biao Guo, Pu Huang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4ca0295b8b94434ea6f4f83f7de14da3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Using machine learning and computer vision to estimate the angular velocity of wind turbines in smart grids remotely
par: Mahdi Bahaghighat, et autres
Publié: (2021) -
Data-Driven Congestion Control of Micro Smart Sensor Networks for Transparent Substations
par: Ke Zhou, et autres
Publié: (2021) -
Inter-Organizational Knowledge Conversion and Innovative Capacity in Cooperative Networks
par: Caldas,Patrícia Trindade, et autres
Publié: (2013) -
The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake
par: Jennifer Marie Rinker, et autres
Publié: (2021) -
Analysis of the Wind Turbine Selection for the Given Wind Conditions
par: Waldemar Kuczyński, et autres
Publié: (2021)