Cutting force modeling of machining carbon fiber reinforced polymer (CFRP) composites: A review

Song, Yang; Cao, Huajun; Zheng, Wei; Qu, Da; Liu, Lei; Yan, Chunping

doi:10.1016/j.compstruct.2022.116096

Cited by 21 publications

(9 citation statements)

References 61 publications

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“…Therefore, it is widely used in aerospace, national defense and other fields [68]. However, due to the addition of the reinforcing phase, traditional machining of composite materials has a large cutting force, severe tool wear, and easy to generate machining defects such as burrs [69], delamination [70], and microcracks [71].…”

Section: Composite Materialsmentioning

confidence: 99%

Field-assisted machining of difficult-to-machine materials

Zhang,

Zheng,

Huang

et al. 2024

Int. J. Extrem. Manuf.

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Difficult-to-machine materials (DMMs) are extensively applied in critical fields such as aviation, national defense, biomedicine, and other key fields due to their excellent material properties. However, traditional machining technology is difficult to precisely machine DMMs due to poor surface quality and low processing efficiency. In recent years, as a new generation of machining technology, field-assisted machining (FAM) technology based on innovative principles such as laser heating, tool vibration, magnetic magnetization, and plasma modification provides a new solution for improving the machinability of DMMs. It is advantageous to prevent the shortcomings of traditional machining methods, and has become a hot topic of research in the domain of ultra-precision machining of DMMs. Many new methods and principles have been presented and investigated one after another, yet few researches have been analysed and summarized from a comprehensive standpoint. To fill this gap and understand the development trend of FAM, this study provides an important overview of FAM, covering different assisted machining methods, application effects, mechanism analysis, and equipment design. The current deficiencies and future challenges of FAM are summarized to lay the foundation for the further development of multi-field hybrid assisted and intelligent field-assisted machining technologies.

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Section: Composite Materialsmentioning

confidence: 99%

Field-assisted machining of difficult-to-machine materials

Zhang,

Zheng,

Huang

et al. 2024

Int. J. Extrem. Manuf.

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“…It was discovered that the severity steadily reduced with increasing distance from the hole exit and was at its worst in the fiber layer close to it. Song et al, (2022) conducted an analysis of the cutting force models used to cut CFRP composites, including mechanistic and numerical models. The research looked at process-oriented cutting force models as well as future trends in cutting force model development.…”

Section: Introductionmentioning

confidence: 99%

Multi optimization in slot milling of CFRP composites through grey relational- based Taguchi analysis

Bahei El-Deen

2024

Nig. J. Technol. Dev.

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Carbon fiber-reinforced plastic (CFRP) composite materials are challenging to machine due to their anisotropy and heterogeneity. Thus, the experimental study of milling CFRP composite material is very crucial. In the current study, based on Taguchi’s L9 orthogonal array, slot milling experiments were performed on CFRP composite samples to make a decision on a parametric optimization of multiple responses such as material removal rate (MRR), delamination factor (Fd) and surface roughness (Ra) using grey relational-based Taguchi analysis. The selected milling parameters are cutting speed (A), feed (B), and depth of cut (C). Based on Grey Relational Grade (GRG), Analysis of Variance (ANOVA) was used to determine the parameters' significant contributions and the parameters' optimal levels. The results showed, with a 95% confidence level, that all of the chosen cutting parameters have a substantial impact on all of the measured responses. Based on a confirmatory test performed under ideal milling conditions, MRR has been increased with an improvement of 31.25 %, Fd has been decreased with an improvement of 1.66% and Ra has been decreased with an improvement of 28.3%. These improvements in all measured responses are equivalent to an improvement of GRG by 3%.

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“…[ 22 , 23 ] followed statistical techniques in polymer machining, refs. [ 24 , 25 ] focused on machining parameter modeling for polymers, and refs. [ 26 , 27 ] dealt with efficiency issues in polymer drilling processes.…”

Section: Introductionmentioning

confidence: 99%

Influence of Machining Parameters on the Dimensional Accuracy of Drilled Holes in Engineering Plastics

Pop,

Titu,

Ravai-Nagy

et al. 2024

Polymers

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This paper explores the interaction between cutting parameters and the geometric accuracy of machined holes in a variety of engineering plastics, with the aim of improving manufacturing processes in the plastic processing industry. In the context of fast and precise manufacturing technology, the accuracy of drilled holes in polymers is of paramount importance, given their essential role in the assembly and functionality of finished parts. The objective of this research was to determine the influence of cutting speed and feed rate on the diameter and cylindricity of machined holes in six diverse types of plastics using a multilevel factorial design for analysis. The key message conveyed to the reader highlights that careful selection of cutting parameters is crucial to achieving high standards of accuracy and repeatability in plastic processing. The methodology involved structured experiments, looking at the effect of changing cutting parameters on a set of six polymer materials. A CNC machining center for drills and high-precision measuring machines were used to evaluate the diameter and cylindricity of the holes. The results of ANOVA statistical analysis showed a significant correlation between cutting parameters and hole sizes for some materials, while for others the relationship was less evident. The conclusions drawn highlight the importance of optimizing cutting speed and feed rate according to polymer type to maximize accuracy and minimize deviations from cylindricity. It was also observed that, under selected processing conditions, high- and medium-density polyurethane showed the best results in terms of accuracy and cylindricity, suggesting potential optimized directions for specific industrial applications.

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Cutting force modeling of machining carbon fiber reinforced polymer (CFRP) composites: A review

Cited by 21 publications

References 61 publications

Field-assisted machining of difficult-to-machine materials

Field-assisted machining of difficult-to-machine materials

Multi optimization in slot milling of CFRP composites through grey relational- based Taguchi analysis

Influence of Machining Parameters on the Dimensional Accuracy of Drilled Holes in Engineering Plastics

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