Model for Optimization of the Tool Life and the Cutting Speed for Maximum Productivity at Drilling of the Steel 2NiCr185

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.

2015 ◽  
Vol 809-810 ◽  
pp. 69-74
Author(s):  
Marius Iacob ◽  
Ovidiu Blăjină ◽  
Aurelian Vlase

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 article 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 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.


2013 ◽  
Vol 371 ◽  
pp. 13-17
Author(s):  
Aurelian Vlase ◽  
Ovidiu Blăjină ◽  
Bogdan Vlase

The stainless steels are used more and more in various key domains of the technique [. The processing of these steels is determined by their specific physical-chemical characteristics and by their technological properties [2, 3]. The research in the last decade regarding the cutting machinability of the stainless steels have highlighted the insufficiency of the data for establishing of the optimum cutting processing conditions and the optimum cutting regime [4, 5]. With this object in view, 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 global indicator of the maximum productivity.


2012 ◽  
Vol 224 ◽  
pp. 204-207
Author(s):  
Jozef Jurko ◽  
Anton Panda ◽  
Marcel Behún

This article presents conclusions of use TiAlN at drilling of a new austenitic stainless steels. This article presents the results of experiments that concerned the verification of the cutting tool wear. The results of cutting zone evaluation under cutting conditions (cutting speed vc=60 m/min, depth of cut ap= 3.0 mm and feed f= 0.04 mm per rev.) .


2013 ◽  
Vol 371 ◽  
pp. 18-22
Author(s):  
Ovidiu Blăjină ◽  
Aurelian Vlase ◽  
Vlad Darie

The problems related to the wear of the cutting tools wear and the tools life at the machining of the stainless steels are very important due to the chemical and mechanical characteristics of these steels [1]. Over time the research have studied the causes which produce the cutting tool wear and the methods to improve the cutting tools durability, either by creating new types of materials for tools, either by the choice of tools geometric parameters and cutting regime [2, 3]. The purpose of this paper is the optimization of the cutting tool life and the cutting speed at the drilling of the stainless steels, in terms of the global indicator of the minimum machining cost.


2012 ◽  
Vol 268-270 ◽  
pp. 473-476 ◽  
Author(s):  
Jozef Jurko ◽  
Anton Panda ◽  
Marcel Behún

This article presents the results of experiments that concerned on the surface roughness quality by drilling of a new Extra Low Carbon (ELC) austenitic stainless steel X01Cr14Ni9TiN. This article presents conclusions of machinability tests on new austenitic stainless steels X01Cr14Ni9TiN. The results of cutting zone evaluation under cutting conditions (cutting speed in interval vc=40-60 m/min, depth of cut ap=2.5 mm and feed f=0.01-0.12 mm per rev.).


2006 ◽  
Vol 7 (3-4) ◽  
pp. 201-206
Author(s):  
Ahsan Ali Khan, ◽  
Roshaliza Bt Hamidon, ◽  
Muhariyanti Bt Che Mat,

Author(s):  
M.K. Samal

In this chapter, a mathematical model for rate of formation of chromium carbides near the grain boundary, which is a pre-cursor to chromium depletion and corresponding sensitization behavior in stainless steels, is presented. This model along with the diffusion equation for chromium in the grain has been used to obtain chromium depletion profiles at various time and temperature conditions. Finite difference method has been used to solve the above equations in the spherical co-ordinate system and the results of time-temperature-sensitization diagrams of four different types of alloys have been compared with those of experiment from literature. For the problem of low temperature sensitization and corresponding inter-granular corrosion in austenitic stainless steel, it is very difficult to carry out experiment at higher temperatures and justify its validity at lower operating temperatures by extrapolation. The development of predictive models is highly useful in order to design the structures for prevention of corrosion of the material in aggressive environments.


2019 ◽  
Vol 895 ◽  
pp. 313-318
Author(s):  
S.B. Supriya ◽  
S. Srinivas

Stainless Steels are possessing fabrication flexibility, high hardness, durability, low maintenance, high strength and resistance to heat and corrosion. This alloy steel is extensively used in various engineering applications. Some of the conventional machining techniques results in loss of original properties of stainless steel work material and makes it to behave like ordinary material within the machined surface. Machining of Stainless steels is more challenging due to its high alloying content. Problems such as application of huge coolant supply and poor chip breaking while machining, work hardening in work material, use of cutting tools with varying tool signature, results in enhanced production cost and time. Further, it is important to ensure that there is no machine tool-cutting tool vibration leading to edge chipping of cutting tool. To avoid all these problems, Abrasive water jet machining (AWJM) is used. This paper presents the machining capabilities of AWJ on Stainless Steel304. Influence of dynamic input parameters such as jet pressure, speed of traverse and abrasive flow rate on the depth of cut is investigated. An empirical model is proposed for depth of cut and an error analysis is done with measured and modeled values of depth of cut. It was found that traverse speed influences more than other parameters. SEM images indicated smooth surface at entrance and waviness at exit side. The model proposed predicts the depth of cut more or less accurately.


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