scholarly journals Accounting casual character of the cutting tool life at the optimization of the cutting regimes

Author(s):  
A Mikhailov ◽  
T Ivchenko ◽  
I Petryaeva
Procedia CIRP ◽  
2021 ◽  
Vol 101 ◽  
pp. 274-277
Author(s):  
Alexey Vereschaka ◽  
Marina Volosova ◽  
Nikolay Sitnikov ◽  
Filipp Milovich ◽  
Nikolay Andreev ◽  
...  

2015 ◽  
Vol 760 ◽  
pp. 433-438 ◽  
Author(s):  
Ovidiu Blăjină ◽  
Aurelian Vlase ◽  
Marius Iacob

The research in the last decade regarding their cutting machinability have highlighted the insufficiency of the data for establishing of the optimum cutting processing conditions and the optimum cutting regime. The purpose of this paper is the optimization of the tool life and the cutting speed at the drilling of the stainless steels in terms of the maximum productivity. A nonlinear programming mathematical model to maximize the productivity at the drilling of a stainless steel is developed in this paper. The optimum cutting tool life and the associated cutting tool speed are obtained by solving the proposed mathematical model. The use of this productivity model allows greater accuracy in the prediction of the productivity for the drilling of a certain stainless steel and getting the optimum tool life and the optimum cutting speed for the maximum productivity. The obtained results can be used in production activity, in order to increase the productivity of the stainless steels machining. Finally the paper suggests new research directions for the specialists interested in this field.


2013 ◽  
Vol 690-693 ◽  
pp. 3359-3364
Author(s):  
Shou Jin Sun ◽  
Milan Brandt ◽  
John P.T. Mo

A higher strength and heat resistance are increasingly demanded from the advanced engineering materials with high temperature applications in the aerospace industry. These properties make machining these materials very difficult because of the high cutting forces, cutting temperature and short tool life present. Laser assisted machining uses a laser beam to heat and soften the workpiece locally in front of the cutting tool. The temperature rise at the shear zone reduces the yield strength and work hardening of the workpiece, which make the plastic deformation of the hard-to-machine materials easier during machining. The state-of-the-art, benefits and challenges in laser assisted machining of metallic materials are summarized in this paper, and the improvement of tool life is discussed in relation to laser power, beam position and machining process parameters.


2013 ◽  
Vol 837 ◽  
pp. 28-32
Author(s):  
Ovidiu Blăjină ◽  
Aurelian Vlase ◽  
Vlad Darie

The research in the last decade regarding their cutting machinability have highlighted the insufficiency of the data for establishing of the optimum cutting processing conditions and the optimum cutting regime. The purpose of this paper is the optimization of the tool life and the cutting speed at the drilling of the stainless steels in terms of the maximum productivity. A nonlinear programming model to maximize the productivity at the drilling of a stainless steel is developed in this paper. The optimum cutting tool life and the associated cutting tool speed are obtained by solving the proposed mathematical model. The use of this productivity model allows greater accuracy in the prediction of the productivity for the drilling of a certain stainless steel and getting the optimum tool life and the optimum cutting speed for the maximum productivity. The obtained results can be used in production activity, in order to increase the productivity of the stainless steels machining. Finally the paper suggests new research directions for the specialists interested in this field.


2017 ◽  
Vol 17 (6) ◽  
pp. 952-957 ◽  
Author(s):  
Vaclav Schornik ◽  
Miroslav Zetek ◽  
Tomas Baksa

Author(s):  
E. O. Ezugwu ◽  
J. Bonney ◽  
W. F. Sales ◽  
R. B. da Silva

Usage of titanium alloys has increased since the past 50 years despite difficulties encountered during machining. In this study PCD tools were evaluated when machining Ti-6Al-4V alloy at high speed conditions under high pressure coolant supplies. Increase in coolant pressure tend to improve tool life and minimise adhesion of the work material on the cutting tool during machining. Adhesion can be accelerated by the susceptibility of titanium alloy to galling during machining.


Author(s):  
Ferial Hakami ◽  
Alokesh Pramanik ◽  
Animesh K Basak

Higher tool wear and inferior surface quality of the specimens during machining restrict metal matrix composites’ application in many areas in spite of their excellent properties. The researches in this field are not well organized, and knowledge is not properly linked to give a complete overview. Thus, it is hard to implement it in practical fields. To address this issue, this article reviews tool wear and surface generation and latest developments in machining of metal matrix composites. This will provide an insight and scientific overview in this field which will facilitate the implementation of the obtained knowledge in the practical fields. It was noted that the hard reinforcements initially start abrasive wear on the cutting tool. The abrasion exposes new cutting tool surface, which initiates adhesion of matrix material to the cutting tool and thus causes adhesion wear. Built-up edges also generate at lower cutting speeds. Although different types of coating improve tool life, only diamond cutting tools show considerably longer tool life. The application of the coolants improves tool life reasonably at higher cutting speed. Pits, voids, microcracks and fractured reinforcements are common in the machined metal matrix composite surface. These are due to ploughing, indentation and dislodgement of particles from the matrix due to tool–particle interactions. Furthermore, compressive residual stress is caused by the particles’ indentation in the machined surface. At high feeds, the feed rate controls the surface roughness of the metal matrix composite; although at low feeds, it was controlled by the particle fracture or pull out. The coarser reinforced particles and lower volume fraction enhance microhardness variations beneath the machined surface.


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