MQL machining of high strength steel: A case study on surface quality characteristic

2020 ◽  
Vol 26 ◽  
pp. 2616-2618 ◽  
Author(s):  
Rasmi Ranjan Mishra ◽  
Ashok Kumar Sahoo ◽  
Amlana Panda ◽  
Ramanuj Kumar ◽  
Diptikanta Das ◽  
...  
Keyword(s):  
Surface Quality ◽  
High Strength Steel ◽  
High Strength ◽  
Quality Characteristic

An intelligent prediction model of the tool wear based on machine learning in turning high strength steel

2020 ◽  
Vol 234 (13) ◽  
pp. 1580-1597
Author(s):  
Minghui Cheng ◽  
Li Jiao ◽  
Xuechun Shi ◽  
Xibin Wang ◽  
Pei Yan ◽  
...  
Keyword(s):  
Tool Wear ◽  
Prediction Model ◽  
Cutting Force ◽  
Surface Quality ◽  
Surface Texture ◽  
High Strength Steel ◽  
Prediction Models ◽  
High Strength ◽  
Support Vector ◽  
Time Frequency

In the process of high strength steel turning, tool wear will reduce the surface quality of the workpiece and increase cutting force and cutting temperature. To obtain the fine surface quality and avoid unnecessary loss, it is necessary to monitor the state of tool wear in the dry turning. In this article, the cutting force, vibration signal and surface texture of the machined surface were collected by tool condition monitoring system and signal processing techniques are being used for extracting the time-domain, frequency-domain and time-frequency features of cutting force and vibration. The gray level processing technique is used to extract the features of the gray co-occurrence matrix of the surface texture and found that these features changed simultaneously when the cutting tool broke. After this, an intelligent prediction model of tool wear was built using the support vector regression (SVR) whose kernel function parameters were optimized by the grid search algorithm (GS), the genetic algorithm (GA) and the particle swarm optimization algorithm respectively. The features extracted from the signals and surface texture are used to train the prediction model in MATLAB. It was found that after the surface texture features were fused using the intelligent prediction model on the basis of the features of cutting force and vibration, prediction accuracy of the proposed method is found as 97.32% and 96.72% respectively under the two prediction models of GA-SVR and GS-SVR. Moreover, the intelligent prediction model can not only predict the tool wear under different cutting conditions, but also the different wear stages in a single wear cycle and the absolute error between the predicted value and the actual value is less than 10 μm, the confidence coefficient of prediction curve is around 0.99.

scholarly journals Fatigue assessment of cut edges in high strength steel - Influence of surface quality

2017 ◽  
Vol 48 (6) ◽  
pp. 556-569 ◽  
Author(s):  
T. Stenberg ◽  
E. Lindgren ◽  
Z. Barsoum ◽  
I. Barmicho
Keyword(s):  
Surface Quality ◽  
High Strength Steel ◽  
High Strength ◽  
Fatigue Assessment

Yield-Before-Break Fracture Mechanics Analysis of High-Strength Steel Pressure Vessels

1995 ◽  
Vol 117 (1) ◽  
pp. 79-84 ◽  
Author(s):  
J. H. Underwood ◽  
R. A. Farrara ◽  
M. J. Audino
Keyword(s):  
Fracture Mechanics ◽  
High Strength Steel ◽  
High Strength ◽  
Pressure Vessels ◽  
Safe Yield ◽  
High Toughness ◽  
Final Failure ◽  
Crack Type ◽  
Type Of Failure

Case study examples of fracture mechanics testing and analysis of Ni-Cr-Mo high strength steel cannon tubes are presented. The testing and analysis include the situation of significant plastic deformation accompanying fracture, which often occurs when high pressure is applied to high-toughness steel pressure vessels. analysis is based on a comparison of the size of the Irwin crack-tip plastic zone the remaining ligament of the tube in the area of the critical fatigue crack which causes final failure. The results of the study show that the type of final failure can be predicted—as either a relatively safe, yield-before-break failure or a less safe running-crack type of failure—for a variety of material, configuration, and loading conditions.

scholarly journals Hydrogen Assisted Fracture of 30MnB5 High Strength Steel: A Case Study

Metals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1613
Author(s):  
Garikoitz Artola ◽  
Javier Aldazabal
Keyword(s):  
Heat Treatment ◽  
High Strength Steel ◽  
High Strength ◽  
Raw Material ◽  
Root Cause ◽  
Component Design ◽  
Hydrogen Assisted Cracking ◽  
Assisted Fracture ◽  
Hydrogen Effusion

When steel components fail in service due to the intervention of hydrogen assisted cracking, discussion of the root cause arises. The failure is frequently blamed on component design, working conditions, the manufacturing process, or the raw material. This work studies the influence of quench and tempering and hot-dip galvanizing on the hydrogen embrittlement behavior of a high strength steel. Slow strain rate tensile testing has been employed to assess this influence. Two sets of specimens have been tested, both in air and immersed in synthetic seawater, at three process steps: in the delivery condition of the raw material, after heat treatment and after heat treatment plus hot-dip galvanizing. One of the specimen sets has been tested without further manipulation and the other set has been tested after applying a hydrogen effusion treatment. The outcome, for this case study, is that fracture risk issues only arise due to hydrogen re-embrittlement in wet service.

COMPARATIVE CHARACTERISTICS OF PHYSICAL AND MECHANICAL PROPERTIES OF COMPOSITE MATERIALS AND HIGH-STRENGTH STEEL 30FGSN2A

2020 ◽  
Author(s):  
I.R. Antypes ◽  
◽  
V.V. Zaitsev ◽  
Keyword(s):  
Composite Materials ◽  
High Strength Steel ◽  
Critical Stress ◽  
Physical And Mechanical Properties ◽  
High Strength ◽  
Aviation Industry ◽  
Specific Strength ◽  
Aircraft Landing ◽  
Carbon Plastics ◽  
Aircraft Landing Gear

Currently, the use of composite materials is increasingly used in various areas of the national economy, including the aviation industry. The materials of this article are devoted to the study of the use of composite materials for the manufacture of aircraft landing gear in comparison with the traditionally used brand of steel. As a result of the work carried out, it was found that the slope made of carbon fiber showed a critical stress twice as high as its design made of 30xgsn2a steel. In addition, carbon plastics are superior to high-strength steel in terms of specific strength, stiffness, and tensile strength.

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