Evolution of Mechanical Properties and Microstructure in Q&amp;P Processed Unconventional Medium-Carbon Silicon Steel and Comparison between Q&amp;P Processing, Quenching and Tempering, and Austemperingfor

Various structure states before quenching significantly influence final mechanical properties as well as the dispersion of chemical composition at the same steel grade. Therefore heat treatment with mechanical properties is specified in the technical delivery conditions. Even if the heat treatment is determined, different mechanical properties can be achieved. These differences are increasing in importance in high-strength applications like springs, cutting tools, safety, and load-bearing parts of automotive design ect. Because it has a direct impact on their lifetime. The structure consists of ferrite and cementite after spheroidization annealing prior quenching process. The cementite could be observed in various shapes, e.g. fine and large globular particles or the rest of the disintegrated lamellar shape. This article shows how these cementite morphologies affect the quenching behavior and final mechanical properties in high-strength spring steel 54SiCr6. Accelerated Spheroidization, ASR Quenching Spring steel 54SiCr6.

Section: Introductionmentioning

confidence: 99%

Influence of Structural State prior Quenching in Spring Steel

Kotous¹,

Salvetr²

2023

Design and Test of an Automatic Husking and Peeling Machine for Fresh Lotus Seeds

Lin¹,

Zhu²,

Huang³

et al. 2022

Research of the Quenched Crankshaft Fatigue Property Based on the Multi-physics Coupling Analysis and the Theory of Critical Distance

Chang¹,

Sun²

2022

Nowadays the electromagnetic induction quenching approach has been widely applied in the surface treatment process, especially for the parts made by metal materials such as the crankshafts. In this paper, quantitative study was adopted in researching the strengthening effect of this technique. First the multiphysics simulation was achieved to carry out the key information caused by this approach such as the temperature and residual stress distribution property. Then the directly defined critical distance model introduced by Taylor D was combined with the simulation results for the fatigue load prediction. Finally the prediction results were verified according by the standard bending fatigue experiments. The main conclusion of this paper is that the combined critical point method and the Goodmen mean stress model shows the best performance in the prediction. Moreover, the Gerbera mean stress model is the most suitable choice for the critical line method.