scholarly journals Total Tool Cost of Ownership Indicator for Holistical Evaluations of Improvement Measures within the Cutting Tool Life Cycle

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 1404-1409
Author(s):  
Dominik Brenner ◽  
Christian Weber ◽  
Juergen Lenz ◽  
Engelbert Westkaemper
2012 ◽  
Vol 455-456 ◽  
pp. 234-239
Author(s):  
Jin Yan Xu ◽  
Gui Cheng Wang ◽  
Gang Liu

.The research which aimed at low integration and inefficiency of the management in the existing tool management of the machinery manufacturing enterprise (group) in our country, based on the tool whole life cycle theory to develop a tool whole life cycle management system. Tool whole life cycle management not only achieves tool operation management but also achieves tool cost management. The system could use network database to store the data and output the data by the form of sheet. And it achieved tool information inquiry, distribution and integrated management.


2002 ◽  
Vol 68 (10) ◽  
pp. 1321-1325
Author(s):  
Satoshi MITSUI ◽  
Fumiki TANAKA ◽  
Takeshi KISHINAMI

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

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