Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel

2004 ◽  
Vol 25 (3-4) ◽  
pp. 262-269 ◽  
Author(s):  
Tugrul �zel ◽  
Tsu-Kong Hsu ◽  
Erol Zeren
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Cutting Speed ◽  
Cutting Edge ◽  
H13 Steel ◽  
Finish Turning ◽  
Aisi H13 Steel ◽  
Edge Geometry ◽  
Aisi H13

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.

Effect Analysis and ANN Prediction of Surface Roughness in End Milling AISI H13 Steel

2014 ◽  
Vol 800-801 ◽  
pp. 590-595
Author(s):  
Qing Zhang ◽  
Song Zhang ◽  
Jia Man ◽  
Bin Zhao
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Experimental Results ◽  
Depth Of Cut ◽  
H13 Steel ◽  
Aisi H13 Steel ◽  
Radial Depth ◽  
Aisi H13

Surface roughness has a significant effect on the performance of machined components. In the present study, a total of 49 end milling experiments on AISI H13 steel are conducted. Based on the experimental results, the signal-to-noise (S/N) ratio is employed to study the effects of cutting parameters (axial depth of cut, cutting speed, feed per tooth and radial depth of cut) on surface roughness. An ANN predicting model for surface roughness versus cutting parameters is developed based on the experimental results. The testing results show that the proposed model can be used as a satisfactory prediction for surface roughness.

Investigations on Machinability Characteristics of Hardened AISI H13 Steel With Multilayer Coated Carbide Tool Using Statistical Techniques

2017 ◽  
pp. 194-207
Author(s):  
R. Suresh ◽  
Ajith G. Joshi
Keyword(s):  
Feed Rate ◽  
Cutting Speed ◽  
Statistical Techniques ◽  
Carbide Tool ◽  
H13 Steel ◽  
Aisi H13 Steel ◽  
High Cutting Speed ◽  
Coated Carbide Tool ◽  
Aisi H13 ◽  
Coated Carbide

Hard turning with multilayer coated carbide tool has several benefits over grinding process such as, reduction of processing cost and increased productivity. The objective was to establish a correlation between cutting parameters with cutting force, tool wear and surface roughness on workpiece. In the present study, machinability of AISI H13 steel with TiC/TiCN/Al2O3 coated carbide tool using statistical techniques. An attempt has been made to analyze the effects of process parameters on machinability aspects using design of experiments. Response surface plots are generated for the study of interaction effects of cutting conditions on machinability factors. The obtained results revealed that, the optimal combination of low feed rate and low depth of cut with high cutting speed is beneficial for reducing machining force. The cutting tool wears increases almost linearly with increase in cutting speed and feed rate. The combination of low feed rate and high cutting speed is necessary for minimizing the surface roughness.

scholarly journals Tribological Performance of Additively Manufactured AISI H13 Steel in Different Surface Conditions

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 928
Author(s):  
Elisabeth Guenther ◽  
Moritz Kahlert ◽  
Malte Vollmer ◽  
Thomas Niendorf ◽  
Christian Greiner
Keyword(s):  
Surface Roughness ◽  
Friction Coefficient ◽  
Bearing Steel ◽  
Tribological Performance ◽  
Laser Surface ◽  
Laser Surface Texturing ◽  
H13 Steel ◽  
Surface Conditions ◽  
Aisi H13 Steel ◽  
Aisi H13

Additive manufacturing of metallic tribological components offers unprecedented degrees of freedom, but the surface roughness of most as-printed surfaces impedes the direct applicability of such structures, and postprocessing is necessary. Here, the tribological performance of AISI H13 steel samples was studied. These were additively manufactured through laser powder bed fusion (L-PBF), also referred to as selective laser melting (SLM). Samples were tested in four different surface conditions: as-printed, polished, ground and polished, and laser-surface-textured (LST) with round dimples. Friction experiments were conducted in a pin-on-disk fashion against bearing steel disks under lubrication with an additive-free mineral base oil for sliding speeds between 20 and 170 mm/s. Results demonstrated that, among the four surface treatments, grinding and polishing resulted in the lowest friction coefficient, followed by the as-printed state, while both polishing alone and laser-surface texturing increased the friction coefficient. Surprisingly, direct correlation between surface roughness and friction coefficient, i.e., the rougher the surface was, the higher the friction force, was not observed. Wear was minimal in all cases and below what could be detected by gravimetrical means. These results highlight the need for an adequate post-processing treatment of additively manufactured parts that are to be employed in tribological systems.

Research on Transient Temperature of Cutting Tool during High Speed Slot Milling of AISI H13

2014 ◽  
Vol 800-801 ◽  
pp. 715-719
Author(s):  
Fu Lin Jiang ◽  
Zhan Qiang Liu ◽  
Yi Wan ◽  
Han Zhang
Keyword(s):  
High Speed ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Transient Temperature ◽  
H13 Steel ◽  
Tool Insert ◽  
Slot Milling ◽  
Aisi H13 Steel ◽  
Aisi H13 ◽  
Cutting Model

Cutting tool temperature is the main factor that directly affects tool wear and tool life. In this paper we developed temperature model of tool insert during slot milling process, constructed by a combination of cutting time model and non-cutting model. A set of experiments are designed and carried out to obtain cutting induced temperatures at different cutting speeds during slot milling of AISI H13 steel. Experiments results indicate that tool insert temperature increases first and then decreases as the cutting speed grows, and a critical cutting speed for the tool insert temperature exists during slot milling of AISI H13 steel. Some possible reasons for the drop of tool insert temperature are proposed and discussed, and they are decreased heat flux into tool insert and increased heat convection coefficient.

Cutting Force in High-Speed Face Milling AISI H13 Steel

2015 ◽  
Vol 667 ◽  
pp. 35-40
Author(s):  
Xiao Bin Cui ◽  
Jing Xia Guo ◽  
Xiao Yang Wang
Keyword(s):  
Cutting Force ◽  
High Speed ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Face Milling ◽  
Depth Of Cut ◽  
H13 Steel ◽  
Aisi H13 Steel ◽  
Aisi H13 ◽  
Axial Depth

For the purpose of acquiring thorough understanding of the characteristics of cutting force in high and ultra-high-speed face milling of hardened steel, experimental investigations on face milling of AISI H13 steel (46-47 HRC) are conducted in the present study. The cutting speed of 1400 m/min, at which relatively low cutting force and relatively low surface roughness can be obtained at the same time, is considered as a critical value for both mechanical load and surface finish. The Taguchi method is applied to investigate the effects of cutting parameters on cutting force in different speed ranges (below and above 1400 m/min). In different speed ranges, the contribution order of the cutting parameters for the resultant cutting force is the same, namely axial depth of cut, cutting speed and feed per tooth. However, the contributions of cutting speed and feed per tooth increase substantially as the cutting speed surpasses 1400 m/min. Within the range of cutting parameters used in the present study, the optimum cutting conditions for the cutting force are cutting speed 200 m/min, feed per tooth 0.02 mm/tooth and axial depth of cut 0.1 mm.

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