Outputs (5)

A new flexible multi-point incremental sheet forming process with multi-layer sheets (2023)
Journal Article
Zhao, X., & Ou, H. (2023). A new flexible multi-point incremental sheet forming process with multi-layer sheets. Journal of Materials Processing Technology, 322, Article 118214. https://doi.org/10.1016/j.jmatprotec.2023.118214

In this research, a new flexible multi-point incremental sheet forming process with multi-layer sheets (F-MPIF-MLS) was proposed. The novelty of this new forming process is demonstrated by two specific aspects of contribution. The first is the develo... Read More about A new flexible multi-point incremental sheet forming process with multi-layer sheets.

A new analytical model for force prediction in incremental sheet forming (2023)
Journal Article
Zhu, H., & Ou, H. (2023). A new analytical model for force prediction in incremental sheet forming. Journal of Materials Processing Technology, 318, Article 118037. https://doi.org/10.1016/j.jmatprotec.2023.118037

A new analytical model for forming force prediction in the whole process of incremental sheet forming (ISF) is presented in this work. The modelling of contact region, thickness distribution and strain components are carried out as the basis for the... Read More about A new analytical model for force prediction in incremental sheet forming.

Additive manufacturing processes for metals (2023)
Book Chapter
Aboulkhair, N. T., Bosio, F., Gilani, N., Phutela, C., Hague, R. J., & Tuck, C. J. (2023). Additive manufacturing processes for metals. In Quality Analysis of Additively Manufactured Metals: Simulation Approaches, Processes, and Microstructure Properties (201-258). Elsevier. https://doi.org/10.1016/b978-0-323-88664-2.00016-6

Additive manufacturing (AM) processes are a family of net-shaped manufacturing systems that are widely being used and adopted for their distinctive characteristics. Recently, AM processes have positioned themselves to be worthy of playing a role in r... Read More about Additive manufacturing processes for metals.

Deployment of a distributed multi-agent architecture for transformable assembly
Presentation / Conference Contribution
Chaplin, J. C., & Ratchev, S. (2018, January). Deployment of a distributed multi-agent architecture for transformable assembly. Presented at 8th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2018, Chamonix, France

Industry 4.0 represents a new philosophy in manufacturing systems, based on networked, intelligent, and cooperative resources. This revolution is necessary to make the cost-effective production of batch-size-of-one customised items in high-value manu... Read More about Deployment of a distributed multi-agent architecture for transformable assembly.

Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor
Presentation / Conference Contribution
MARTINEZ ARELLANO, G. (2024, June). Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor. Paper presented at FAIM 2024, Taichung, Taiwan

Artificial Intelligence (AI) among other digital technologies promise to deliver the next level of process efficiency of manufacturing systems. Although these solutions such as machine learning (ML) based condition monitoring and quality inspection a... Read More about Towards Frugal Industrial AI : A Framework for the Development of Scalable and Robust Machine Learning Models in the Shop Floor.