scholarly journals Deep cryogenic treatment of carbide tool and its cutting performances in hard milling of AISI H13 steel

Procedia CIRP ◽  
2018 ◽  
Vol 71 ◽  
pp. 35-40 ◽  
Author(s):  
Binxun Li ◽  
Tao Zhang ◽  
Song Zhang
Keyword(s):  
Cryogenic Treatment ◽  
Carbide Tool ◽  
H13 Steel ◽  
Hard Milling ◽  
Deep Cryogenic Treatment ◽  
Aisi H13 Steel ◽  
Aisi H13

Topographic Wear Monitoring of the Interface Tool/Workpiece in Milling AISI H13 Steel

2014 ◽  
Vol 966-967 ◽  
pp. 152-167 ◽  
Author(s):  
Alejandro Pereira ◽  
Javier Martínez ◽  
Maria Teresa Prado ◽  
José A. Pérez ◽  
Thomas Mathia
Keyword(s):  
Cutting Tool ◽  
Cutting Tools ◽  
Experimental Investigations ◽  
Work Piece ◽  
H13 Steel ◽  
Hard Milling ◽  
Aisi H13 Steel ◽  
Ticn Coating ◽  
Aisi H13 ◽  
Wear Monitoring

The wear of TiCN coating carbide cutting tools (Sandvik® Grade 1010 and 4220) in different hard-milling machining conditions was monitored, analyzed, and discussed for AISI H13 steel. This material is commonly used in the forge industry in order to optimize the manufacturing process according to a qualimetry/cost compromise criterion. AISI H13 steel generally is used in modern production for high wear-resistant dies and molds. One of the most basic and primary geometric shapes in the manufacture of molds and die cavities is the geometry known as "inclined plane." Experimental investigations were carried out on a "mold model" design with the aim of analyzing and optimizing the principal manufacturing conditions. The tests are dependent on manufacturing factors, particularly their impactin a complex tribological process. Five clearly defined different surfaces of the hardened AISI H13 steel model mold, with appropriate geometries were studied; i) vertical downward; ii) curved downward; iii) horizontal; iv) curved upward; and v) vertical upward.The analysis of cutting tool wear during this process was based on computerized measurements of visually observable wear and power consumption. Morphological investigations of the surface topography for the cutting tool, as well as of the work-piece surfaces, were systematically carried out. Moreover, the interactions with simultaneously measured energy consumption during the process are also explicated in the present study and therefore tentative methods to optimize hard-milling machining are offered.

Wear behavior of differently cryogenically treated AISI H13 steel against cold work steel

2018 ◽  
Vol 233 (2) ◽  
pp. 292-305 ◽  
Author(s):  
Sanjeev Katoch ◽  
Rakesh Sehgal ◽  
Vishal Singh
Keyword(s):  
Wear Resistance ◽  
Wear Debris ◽  
Wear Behavior ◽  
Cryogenic Treatment ◽  
Cold Work ◽  
Sliding Velocity ◽  
H13 Steel ◽  
Die Steel ◽  
Aisi H13 Steel ◽  
Aisi H13

The effect of different cryogenic treatments on the wear behavior of chromium base die steel under dry condition has been examined at five levels of sliding velocity and normal loads. Parameters chosen for cryogenic treatment cycles are subjected to soaking duration of 6, 21, and 36 h at soaking temperatures of −154 ℃ and −184 ℃. Soaking period of 21 h shows higher wear resistance, whereas 36 h treatment shows the reduction in wear resistance. Worn out surface and wear debris exhibit that mechanisms responsible for wear of samples are rupturing of martensitic matrix and delaminating.

Optimization of Cutting Parameters for Improving Surface Roughness during Hard Milling of AISI H13 Steel

2020 ◽  
Vol 831 ◽  
pp. 35-39 ◽  
Author(s):  
The Vinh Do ◽  
Quoc Manh Nguyen ◽  
Minh Tan Pham
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
H13 Steel ◽  
Hard Milling ◽  
Aisi H13 Steel ◽  
Cooling Conditions ◽  
Aisi H13

In metal cutting, surface roughness plays an important role in assessing the quality of processed products. The roughness depends greatly on the selection of machining parameters such as cooling conditions and cutting parameters. For this purpose, cooling conditions including dry, MQL, and Silica-based nanofluid MQL as well as cutting parameters including cutting speed, depth-of-cut and feed-rate were investigated to determine their influence on machining roughness during hard milling of AISI H13 steel. The DOE method developed by G. Taguchi was used to design the experiments. An analysis of the signal-to-noise response and ANOVA were carried to obtain the optimal values of cutting parameters for minimizing surface roughness. The results of the present study show that Silica-based nanofluid MQL, minimum feed-rate, minimum depth-of-cut, and maximum cutting speed is an optimal cutting condition for reducing machining roughness.

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