Recent developments and challenges on machining of carbon fiber reinforced polymer composite laminates
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 …
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
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 …
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 …
characteristics of the acoustic emission (AE) correlation and the mechanical damage of …
Advances in manufacturing analysis: Fractal theory in modern manufacturing
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 …
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)
When machining titanium metal matrix composites (TiMMCs), the abrasiveness of the
reinforcement particles of this material leads to numerous machinability challenges, namely …
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 machine learning approach based on fractal analysis is developed for optimal tool life
exploitation in intensive drilling operations for aeronautical assembly. Fractal analysis of …
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
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 …
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
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 …
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 …
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 …
It relies on automation growth and particularly on data exchange using numerous sensors in …