Determination of Boundary Parameters of Pipelines Elbows Blanking Elements Made from Titanium Alloy Ti-4Al-2Mn and Steel AISI 304

2019 ◽  
Vol 822 ◽  
pp. 178-184
Author(s):  
Konstantin Nokolenko ◽  
Kirill Nikolenko ◽  
Sergey Zvonov ◽  
Alina Lopatina

The results of computer simulation processing and determination of limiting degree of deformation by the Kolmogorov criterion are presented. The derivation of the dependence for the evaluation of the destruction of low-plastic materials at the edge is made at bend angle of 900

1970 ◽  
Vol 92 (2) ◽  
pp. 412-417 ◽  
Author(s):  
Ranjan Ray ◽  
J. T. Berry

Attempts have been made to predict loads in deep drawing Ti–6Al–4V, AISI 304, and Inconel X taking into account anisotropy and work-hardening characteristics. This has been accompanied by a comprehensive series of tests on these materials in different thicknesses (0.030–0.070 in.) using a variety of lubricants at room temperature. Draw-ability and agreement of predicted loads with those observed are seen to depend on a variety of factors. Most satisfactory agreement between prediction and observation is seen with the strongly anisotropic titanium alloy. Of the lubricants examined, polyethylene sheet and a molybdenum disulfide suspension in an acrylic resin appear to be most effective. Further work is proceeding on elevated temperature drawing.


2014 ◽  
Vol 894 ◽  
pp. 186-191
Author(s):  
Mohd Zaki Nuawi ◽  
Abdul Rahim Bahari ◽  
Shahrum Abdullah ◽  
Ahmad Kamal Ariffin

This paper presents an alternative statistical signal analysis method to characterise and determine Youngs modulus property of metallic materials. For this characterisation purpose, we propose an alternative method called Integrated Kurtosis-based Algorithm for Z-notch filter (I-kazTM) and Mesokurtosis Zonal Nonparametric (M-Z-N). Impulsive excitation test has been performed according to ASTM E1876 on three metallic materials of medium carbon steel S50C, stainless steel AISI 304 and brass to measure the piezoelectric and acoustic signals. The transient acoustic signal has been analysed using M-Z-N analysis while I-kazTM has been used to analyse the impulsive piezoelectric signal. Correlation expression between Youngs modulus property and the calculated statistical parameters has been discussed and the accuracy of these two methods has been identified using cast iron FCD 500 specimen.


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