Dry machinability analyses between free cutting, resulfurized, and carbon steels

Krähmer, Daniel; Urbicain, G.; Egea, Antonio J. Sánchez

doi:10.1080/10426914.2020.1734615

Cited by 15 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[8] Regarding free-cutting steels, where MnS in the microstructure is adhered to the leading face of the cutting tool, forming a tribofilm and acting as a solid self-lubricant. [9,10] Instead, the polishability of AISI P20 + S steel is significantly impaired. As for the second case, AISI P20+ Ni steel allows generating a substantial improvement of the polishability.…”

Section: Introductionmentioning

confidence: 99%

Milling force model for asymmetric end-mills during high-feed milling on AISI-P20

Russo

Urbicain²,

Egea

et al. 2021

Materials and Manufacturing Processes

Self Cite

View full text Add to dashboard Cite

Manufacturing molds for plastic parts injection are a particular machining domain, where challenging materials, like AISI P20 steel, are forced to satisfy the highest surface quality requirements. Before mirror polishing, milling operation is a common and challenging task due to drilling and milling with the same tool. Thus, special cutting tools, like asymmetric indexable type, are often used. This tool presents two geometrically equal positive inserts -one placed horizontally and the other vertically -for the flexible machining of holes, cavities, floors, and walls. Rough-medium milling operations lead to a complicated relationship between cutting conditions and geometrical tool parameters, making it challenging to balance the tool life of both inserts. The novelty of this work is to propose a model for cutting force prediction with an asymmetric tool to explain the separated behavior of both inserts and determine a better compromise between cutting conditions and tool life. The experimental tests were done for model validation and then wear cutting tests for testing improved cutting conditions. The results predicted by the model proved that by changing the depth of cut from 0.3 mm to 0.8 mm, the wear in both inserts was more balanced, increasing chip volume up to 1.7 times.

show abstract

Section: Introductionmentioning

confidence: 99%

Milling force model for asymmetric end-mills during high-feed milling on AISI-P20

Russo

Urbicain²,

Egea

et al. 2021

Materials and Manufacturing Processes

Self Cite

View full text Add to dashboard Cite

show abstract

Effects of Drill Point Geometry on Cutting Forces and Torque When Drilling AA1050

Simoncelli,

Buglioni,

Abate

et al. 2025

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Reducing energy consumption in drilling operations is crucial for achieving sustainability goals. A study examined 36 drill bits with different geometries and conditions on AA1050. It assessed thrust forces and torque in two machining conditions (Cmin and Cmax) while considering mesh density, tool geometry, and boundary conditions. The results show that finer mesh models exhibit lower thrust forces, while mass scaling primarily influences torque. The pilot hole configuration decreases force, consistent with experiments. Torque decreases by increasing mesh density, matching with the experimental results. Finally, temperature and chip shape are mesh-dependent, affecting torque and force. As a result, our FEM model effectively predicted thrust force and torque, emphasizing the role of the pilot hole configuration in temperature and plastic strain results.

show abstract

Predicting tool life and sound pressure levels in dry turning using machine learning models

Souza,

Verri,

Campos

et al. 2024

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Dry machinability analyses between free cutting, resulfurized, and carbon steels

Cited by 15 publications

References 19 publications

Milling force model for asymmetric end-mills during high-feed milling on AISI-P20

Milling force model for asymmetric end-mills during high-feed milling on AISI-P20

Effects of Drill Point Geometry on Cutting Forces and Torque When Drilling AA1050

Predicting tool life and sound pressure levels in dry turning using machine learning models

Contact Info

Product

Resources

About