Experimental Study and Genetic Algorithm-based Optimization of Cutting Parameters in Drilling High Manganese Steel

2010 ◽  
Author(s):  
Yang Liang ◽  
Xu Li
Keyword(s):  
Genetic Algorithm ◽  
Experimental Study ◽  
Cutting Parameters ◽  
Manganese Steel ◽  
High Manganese ◽  
High Manganese Steel ◽  
Optimization Of Cutting Parameters

Experimental Study of Improved Tool in High Manganese Steel Drilling

2010 ◽  
Vol 97-101 ◽  
pp. 1863-1866
Author(s):  
Liang Yang ◽  
Li Xu
Keyword(s):  
Experimental Study ◽  
Simulation Method ◽  
Manganese Steel ◽  
Drill Bit ◽  
Test Results ◽  
Comparison Analysis ◽  
High Manganese ◽  
Drilling Force ◽  
High Manganese Steel ◽  
Drill Tool

Performance of tool has always been a puzzle in the course of high manganese steel drilling. In this paper, improvement of drill tool is been done on drill bit structure and parameters of cutting tip by means of analyzing geometric parameter. By utilizing simulation method correctly, the influence of bit parameter on drilling force is analyzed. Meanwhile, by adopting the way of dividing into groups, comparison experiment between improved and no improved has been done. The comparison analysis of test results is carried out including tool life, wear and drilling force. The conclusion showed that the improved bit has better performance.

Optimization of Cutting Parameters in Milling Process Using Genetic Algorithm and ANOVA (March 2020)

2020 ◽  
Vol 38 (10A) ◽  
pp. 1489-1503
Author(s):  
Marwa Q. Ibraheem
Keyword(s):  
Genetic Algorithm ◽  
Tool Wear ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Optimal Value ◽  
Optimization Of Cutting Parameters

In this present work use a genetic algorithm for the selection of cutting conditions in milling operation such as cutting speed, feed and depth of cut to investigate the optimal value and the effects of it on the material removal rate and tool wear. The material selected for this work was Ti-6Al-4V Alloy using H13A carbide as a cutting tool. Two objective functions have been adopted gives minimum tool wear and maximum material removal rate that is simultaneously optimized. Finally, it does conclude from the results that the optimal value of cutting speed is (1992.601m/min), depth of cut is (1.55mm) and feed is (148.203mm/rev) for the present work.

Unusual relationship between impact toughness and grain size in a high-manganese steel

2021 ◽  
Vol 89 ◽  
pp. 122-132
Author(s):  
Pan Xie ◽  
Shucheng Shen ◽  
Cuilan Wu ◽  
Jiehua Li ◽  
Jianghua Chen
Keyword(s):  
Grain Size ◽  
Impact Toughness ◽  
Manganese Steel ◽  
High Manganese ◽  
High Manganese Steel

Low-temperature tensile and impact properties of hydrogen-charged high-manganese steel

2019 ◽  
Vol 44 (13) ◽  
pp. 7000-7013 ◽  
Author(s):  
Young-Hyun Nam ◽  
Jong-Seo Park ◽  
Un-Bong Baek ◽  
Jin-Yoo Suh ◽  
Seung-Hoon Nahm
Keyword(s):  
Low Temperature ◽  
Manganese Steel ◽  
High Manganese ◽  
High Manganese Steel ◽  
Impact Properties

scholarly journals Bubble Flotation for Purification of High Manganese Steel with Porous Blower

2019 ◽  
Vol 37 ◽  
pp. 375-379
Author(s):  
Ke Zhu ◽  
Zhengbing Xu ◽  
Siyong Zhao ◽  
Jianmin Zeng
Keyword(s):  
Manganese Steel ◽  
High Manganese ◽  
High Manganese Steel

The Effect of Cold Asynchronous Rolling Technique on High Manganese Steel Mn13

2012 ◽  
Vol 535-537 ◽  
pp. 757-760
Author(s):  
Xiao Hua Sun ◽  
Chang Ming Qiu ◽  
Yan Feng Wang ◽  
Li Deng
Keyword(s):  
Wear Resistance ◽  
Abrasion Resistance ◽  
Manganese Steel ◽  
High Manganese ◽  
High Manganese Steel ◽  
Rolling Technique ◽  
Asynchronous Rolling

High manganese steel is a wear-resisting steel. With the rapidly development of industry, it is very important to improve the wear resistance of high manganese steel. We do some experiments with cold asynchronous rolling technique on austenitic high manganese steel.The results show that hardness and impact abrasion resistance are enhanced greatly with the increase of deformation, and the toughness not decrease to very low.

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