Characterization of Surface Modification of 347 Stainless Steel upon Shot Peening

نویسندگان

  • Kejian Li
  • Qiang Zheng
  • Chunhong Li
  • Bin Shao
  • Donglin Guo
  • Dengming Chen
  • Jianchun Sun
  • Jiling Dong
  • Pengjun Cao
  • Keesam Shin
چکیده

Plastic deformations, such as those obtained by shot peening on specimen surface, are an efficient way to improve the mechanical behavior of metals. Generally, scanning electron microscopy (SEM) and electron backscattered diffraction (EBSD) are commonly used to observe the complex microstructural evolutions, such as grain refinement and phase transformation, induced by the surface treatment. In this work, the microstructure of 347 stainless steel, after ultrasonic shot peening (USP) treatments, was investigated. SEM, EBSD, transmission electron microscopy, and X-ray diffraction were used to observe the microstructural evolutions, such as grain refinement and phase transformation. Deformation depth after the USP treatment was about 200 μm. Grain size on the treated surface layer was about 100 nm, with two phases: austenite and α'-martensite. The percentages of the austenite and α'-martensite phases were 54% and 46%, respectively, which constitute an exact expression of the degree of plastic deformation on austenitic stainless steel.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Shot peening effects on corrosion behavior of Hydroxyapatite coated AISI

The effect of several Almen intensities of shot peening on the corrosion behavior, surface roughness, micro hardness profiles, and residual stresses of stainless steel AISI 316 L were investigated. Hydroxyapatite coating (HA) were applied to shot peened materials to improve their corrosion resistance. The corrosion behaviour were studied using potentiodynamic polarization. The electrochemical t...

متن کامل

Modelling of Conventional and Severe Shot Peening Influence on Properties of High Carbon Steel via Artificial Neural Network

Shot peening (SP), as one of the severe plastic deformation (SPD) methods is employed for surface modification of the engineering components by improving the metallurgical and mechanical properties. Furthermore artificial neural network (ANN) has been widely used in different science and engineering problems for predicting and optimizing in the last decade. In the present study, effects of conv...

متن کامل

Effect of Shot Peening Treatment on Forging Die Life

The aim of this paper was to study the effects of die life through shot peening treatments on AISI H13 steel, and tests were performed to study the influential parameters of the shot peening process. To evaluate the effects of microstructure and the die life of AISI H13 steel after steel shot peening processes, we conducted and evaluated roughness tests, micro hardness and wear tests, and SEM m...

متن کامل

Engineering the residual stress state and microstructure of stainless steel with mechanical surface treatments

Four mechanical surface treatments have been considered for the application to austenitic stainless steel structures. Shot peening (SP), laser shock peening (LSP), ultrasonic impact treatment (UIT) and water jet cavitation peening (WJCP), also known as cavitation shotless peening (CSP), have been applied to 8 mm thick Type 304 austenitic stainless steel coupons. This study considers the merits ...

متن کامل

Regression analysis of shot peening process for performance characteristics of AISI 304 austenitic stainless steel

The surface fibers of the material are yielded in tension by the impact of shots in shot peening process. Below the surface fiber an even thin skin surface layer of material is deformed and this layer is highly stressed in compression. It results in the improvement of surface and mechanical properties of the material. Regression analysis is the statistical modeling technique, and it is suitable...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 2017  شماره 

صفحات  -

تاریخ انتشار 2017