This study designed a new microgroove cutting tool to machine Inconel 718 and focused on the effect of microgroove structure on the cutting performance and chip morphology during the turning. A comparative analysis of the cutting force, cutting temperature, tool life, tool wear, and chip morphology of the microgroove cutting tool and the original cutting tool was conducted. The main cutting force and temperature of the microgroove cutting tool were reduced by 12% and 12.17%, respectively, compared with the original cutting tool. The microgroove cutting tool exhibited a significant improvement compared with the original cutting tool, which extended the tool life by up to 23.08%. Further, the microgroove cutting tool distorted the curl radius of the chips extensively. The experimental results showed that the microgroove structure can not only improve the tool life, but also improve the chip breaking effect.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347394PMC
http://dx.doi.org/10.3390/ma14154142DOI Listing

Publication Analysis

Top Keywords

cutting tool
32
microgroove cutting
20
cutting
13
microgroove structure
12
chip morphology
12
tool
12
tool life
12
original cutting
12
structure cutting
8
cutting performance
8

Similar Publications

Optimizing CNC turning of AISI D3 tool steel using Al₂O₃/graphene nanofluid and machine learning algorithms.

Heliyon

December 2024

School of Mechanical Engineering, Institute of Technology, Wallaga University, P.O. Box 395, Nekemte, Ethiopia.

Turning AISI (American Iron and Steel Institute) D3 tool steel can be challenging due to a lack of optimal process parameters and proper coolant application to achieve high surface quality and temperature control. Machine learning helps in predicting the optimal parameters, whereas nanofluids enhance cooling efficiency while preserving both the tool and the workpiece. This work intends to utilize advanced machine learning approaches to optimize process parameters with the application of hybrid nanofluids (AlO/graphene) during the CNC turning of AISI D3.

View Article and Find Full Text PDF

Machining optimization is crucial for determining cutting parameters that enhance machining economics. However, few studies address the significant variation in cutting tool wear and the complexities of discrete production, often leading to lower cutting parameters to prevent operational failures. Moreover, variations in part geometries lead to differing contact conditions between the cutting tool and workpiece, as well as variations in material removal.

View Article and Find Full Text PDF

The accurate diagnosis of aging-related neurocognitive disorders as early as possible, even in a phase that is characterized by the absence of clinical symptoms, is nowadays the holy grail of the neurosciences. R4Alz-R is a novel cognitive tool designed to objectively detect the subtle cognitive changes that emerge as the very first result of the aging processes and could be developed and broadened in a continuum from healthy aging to subjective cognitive impairment (SCI) and mild cognitive impairment (MCI), before reaching some type of dementia. The goal of the present study was to examine whether the R4Alz-R battery has the potential to detect these subtle changes.

View Article and Find Full Text PDF

Influence of material-material interactions and wear on coarse waste shredders.

Waste Manag Res

December 2024

Chair of Waste Processing Technology and Waste Management, Department of Environmental and Energy Process Engineering, Montanuniversitaet Leoben, Leoben, Austria.

This article uses model materials to introduce a controlled, location- and manufacturer-independent internationally accepted method for assessing shredding machines based on large-scale tests. Furthermore, a better understanding of the comminution behaviour of shredders with fixed settings (gap width, shaft speed, cutting tool geometry) is in the focus of the present investigation and assessed, using the statistical analyses for particle size distribution in certain screen sections. Conclusions have been drawn on the comminution behaviour in general and the material-material interactions of different fractions in the grinding chamber of the shredder by showing significant differences in the pure fraction's comminution behaviour against the mixture's comminution behaviour.

View Article and Find Full Text PDF

Innovative advancements in preclinical imaging have led to the development of cone-beam computed tomography (CBCT) combined with contrast free pulmonary angiography (CFPA), a novel lung scanning technology capable of assessing lung function and pulmonary vascular morphology. This cutting-edge approach integrates CBCT to provide detailed quantification of the pulmonary vascular tree. The application of this technique to image and quantify changes in the pulmonary vascular tree of mice exposed to chronic hypoxia has not been investigated.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!