Recent developments and challenges on machining of carbon fiber reinforced polymer composite laminates

J Seo, DY Kim, DC Kim, HW Park - International Journal of Precision …, 2021 - Springer
In recent years, composites have attracted a great deal of interest because they lack the
limitations of metallic and polymer materials. Although carbon-fiber-reinforced plastics …

Fracture evolution of fiber-reinforced backfill based on acoustic emission fractal dimension and b-value

J Yang, K Zhao, X Yu, Y Yan, Z He, Y Zhou… - Cement and Concrete …, 2022 - Elsevier
To investigate the fracture evolution of fiber-reinforced backfill, uniaxial compression tests
were conducted on different fiber types of reinforced backfills, and the fracture process of …

Acoustic emission fractal characteristics and mechanical damage mechanism of cemented paste backfill prepared with tantalum niobium mine tailings

K Zhao, X Yu, S Zhu, Y Yan, Y Zhou, Z He… - … and Building Materials, 2020 - Elsevier
The motivation for this work was to investigate the relationship between the fractal
characteristics of the acoustic emission (AE) correlation and the mechanical damage of …

Advances in manufacturing analysis: Fractal theory in modern manufacturing

FM Mwema, ET Akinlabi, OP Oladijo, OS Fatoba… - Modern manufacturing …, 2020 - Elsevier
A review of the applications of fractal theory in modern manufacturing is presented in this
chapter. A brief conceptual foundation, typical examples, and methods of computing fractals …

Initial tool wear and process monitoring during titanium metal matrix composite machining (TiMMC)

M Marousi, X Rimpault, S Turenne… - Journal of Manufacturing …, 2023 - Elsevier
When machining titanium metal matrix composites (TiMMCs), the abrasiveness of the
reinforcement particles of this material leads to numerous machinability challenges, namely …

Machine learning approach based on fractal analysis for optimal tool life exploitation in CFRP composite drilling for aeronautical assembly

A Caggiano, X Rimpault, R Teti, M Balazinski… - CIRP Annals, 2018 - Elsevier
A machine learning approach based on fractal analysis is developed for optimal tool life
exploitation in intensive drilling operations for aeronautical assembly. Fractal analysis of …

Machining quality and cutting force signal analysis in UD-CFRP milling under different fiber orientation

H Li, X Qin, T Huang, X Liu, D Sun, Y Jin - The International Journal of …, 2018 - Springer
Increasing usage of carbon fiber-reinforced polymer (CFRP) components in the airplane
industry has led to higher demand in the machining quality of CFRP. In order to meet the …

[HTML][HTML] Artificial intelligence (AI)–based surface quality prediction model for carbon fiber reinforced plastics (CFRP) milling process

JW Kim, J Nam, GY Kim, SW Lee - International Journal of Precision …, 2023 - ijpem-st.org
The objective of this study is to develop a surface quality prediction model for CFRP milling
based on artificial intelligence and enhance the model performance by proposing a novel …

Detection of tool wear in drilling CFRP/TC4 stacks by acoustic emission

S Leng, Z Wang, T Min, Z Dai, G Chen - Journal of Vibration Engineering & …, 2020 - Springer
Background Composite stacked material is widely used in many fields, such as aircraft,
rocket, missile, and soon. In the process of drilling carbon fiber-reinforced polymer and …

Fractal analysis application outlook for improving process monitoring and machine maintenance in manufacturing 4.0

X Rimpault, M Balazinski, JF Chatelain - Journal of Manufacturing and …, 2018 - mdpi.com
Industry 4.0 has been advertised for a decade as the next disruptive evolution for production.
It relies on automation growth and particularly on data exchange using numerous sensors in …