A survey on decision-making based on system reliability in the context of Industry 4.0

MLH Souza, CA da Costa, G de Oliveira Ramos… - Journal of Manufacturing …, 2020 - Elsevier
The business world is continually changing. Dynamic environments, full of uncertainties,
complexities, and ambiguities, demand faster and more confident decisions. To compete in …

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 …

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 …

An interval type-3 fuzzy–fractal approach for plant monitoring

P Melin, O Castillo - Axioms, 2023 - mdpi.com
In this article, a plant monitoring approach based on a hybrid mixture of type-3 fuzzy logic
(T3FL) and the fractal dimension (FD) is presented. The main reason for combining type-3 …

Tool condition monitoring based on the fractal analysis of current and cutting force signals during CFRP trimming

M Jamshidi, JF Chatelain, X Rimpault… - The International Journal …, 2022 - Springer
Carbon fiber–reinforced plastic (CFRP) is becoming more popular in the aerospace industry
due to its high strength-to-weight ratio and low weight. Machining CFRP to achieve the …

Five-axis machine tool fault monitoring using volumetric errors fractal analysis

K Xing, X Rimpault, JRR Mayer, JF Chatelain… - CIRP Annals, 2019 - Elsevier
Detecting machine tool condition deterioration affecting its accuracy is a constant challenge
for industrial machine maintenance. Machine tool volumetric errors (VEs) exhibit complex …

Hybrid surface characterisation of intra thin-walled Ti6Al4V surfaces produced by laser powder bed fusion technology

A Kushwaha, BK Nagesha, S Barad - … : Metrology and Properties, 2022 - iopscience.iop.org
The proposed work investigates the hybrid surface characterisation of intra thin-walled
Ti6Al4V surfaces fabricated using laser powder bed fusion technology. The thin-walled …

Online tool condition monitoring implementation using fractal analysis

M Jamshidi - 2022 - espace.etsmtl.ca
Milling is a high-performance technology, which makes it possible to efficiently machine
complex shaped surfaces. The quality of the machined component is directly influenced by …

[PDF][PDF] Quantitative assessment of machine tools precision states through fractal analysis of machine error parameters

K Xing, X Rimpault, JRR Mayer, JF Chatelain… - Proc CIRP, 2019 - euspen.eu
The precision status of machine tools directly affects parts' quality. Therefore, periodical
calibration of machine tools is desirable. Multiple machine error parameters can be acquired …

Quantitative assessment of machine tools condition through fractal analysis of volumetric error vector similarity measures

K Xing, X Rimpault, JRR Mayer, JF Chatelain… - Procedia CIRP, 2019 - Elsevier
The volumetric error state of machine tools is related to the quality of the machined parts and
the machine tool condition. Volumetric error vectors (VEs) of machine tools can be estimated …