An ontology-based modelling and reasoning framework for assembly sequence planning
Lihong Qiao(Beihang University), Nabil Anwer(École Normale Supérieure Paris-Saclay), Yifan Qie(Beihang University), Yixin Zhu(Beihang University), Uzair Khaleeq uz Zaman(Arts et Métiers), Zuowei Zhu(Beihang University)
The International Journal of Advanced Manufacturing Technology
September 29, 2017
Cited by 65
Related Papers
A comparative investigation on the effect of different nanofluids on the thermal performance of two-phase closed thermosyphon
|International Journal of Heat and Mass Transfer|2019|142
Convolutional Neural Network for geometric deviation prediction in Additive Manufacturing
|Procedia CIRP|2020|62
An ant colony approach to operation sequencing optimization in process planning
|Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture|2015|45
Ultra-high capacity hydrogen storage of B6Be2 and B8Be2 clusters
|International Journal of Hydrogen Energy|2020|42
Manufacturing process modelling using process specification language
|The International Journal of Advanced Manufacturing Technology|2011|41