Impregnation quality diagnosis in Resin Transfer Moulding by machine learning

Machine learning in composites manufacturing: A case study of Automated Fiber Placement inspection

(2020) Christopher Sacco et al.   COMPOSITE STRUCTURES

S-XCT experimental determination of local contact angle and meniscus shape in liquid moulding of composites

(2020) J. Castro et al.   COMPOSITES SCIENCE AND TECHNOLOGY

Machine learning for composite materials

(2019) Chun-Teh Chen et al.   MRS Communications

Decision tree-based machine learning to optimize the laminate stacking of composite cylinders for maximum buckling load and minimum imperfection sensitivity

(2019) H.N.R. Wagner et al.   COMPOSITE STRUCTURES

Machine Learning Based Predictive Model for AFP-Based Unidirectional Composite Laminates

(2019) Chathura Wanigasekara et al.   IEEE Transactions on Industrial Informatics

Modeling and classification of defects in CFRP laminates by thermal non-destructive testing

(2018) R. Marani et al.   COMPOSITES PART B-ENGINEERING

Digital twin-driven product design framework

(2018) Fei Tao et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Structural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network

(2018) Asif Khan et al.   COMPOSITES PART B-ENGINEERING

Manufacturing data analytics using a virtual factory representation

(2017) Sanjay Jain et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Simulation and experimental validation of the effect of material and processing parameters on the injection stage of compression resin transfer molding

(2017) Maider Baskaran et al.   POLYMER COMPOSITES

Structural composites for multifunctional applications: Current challenges and future trends

(2017) C. González et al.   PROGRESS IN MATERIALS SCIENCE

Fast method to monitor the flow front and control injection parameters in resin transfer molding using pressure sensors

(2016) Claudio Di Fratta et al.   JOURNAL OF COMPOSITE MATERIALS

Uncertainty in the manufacturing of fibrous thermosetting composites: A review

(2013) T.S. Mesogitis et al.   COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING

An approach to monitoring quality in manufacturing using supervised machine learning on product state data

(2013) Thorsten Wuest et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Towards zero-defect manufacturing (ZDM)—a data mining approach

(2013) Ke-Sheng Wang   Advances in Manufacturing

A methodology for flow-front estimation in LCM processes based on pressure sensors

(2012) Claudio Di Fratta et al.   COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING

Multiscale Modeling of Composite Materials: a Roadmap Towards Virtual Testing

(2011) J. LLorca et al.   ADVANCED MATERIALS

Dynamic void content prediction during radial injection in liquid composite molding

(2007) Boris Gourichon et al.   COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING