An analysis of the hot forming characteristics of diffusion bonded TC4 alloy using processing maps

Author:

Muhammad Imran Sardar1,LI Can,LANG Lihui,LI Yong,ZANG Bo,ULLAH Sattar,LI Xiaoxing

Affiliation:

1. Beihang University School of Mechanical Engineering and Automation

Abstract

Abstract Since the hot forming of TC4 alloy after diffusion bonding has extensive applications in aerospace and medical industries, it is practically significant to explore the influence of diffusion bonding on the alloy's hot formability and identify the optimal forming parameters. Therefore, dual-stage diffusion bonding of aviation grade TC4 is carried out firstly at 900 °C for 1 hr and then at 930 °C for 2 hr under 2 MPa normal pressure in 5.0 x 10-3 Pa vacuum atmosphere. Another block of the as-received alloy is subjected to the same thermal loading as the diffusion bonding process. The diffusion-bonded and heat-treated alloys are then subjected to uniaxial tensile tests at 750 – 900 °C and 0.0001 – 0.1 s-1. Based on the tensile test data, the constitutive and dynamic material models are developed to investigate diffusion bonding effects on the alloy's hot forming behavior and identify optimal forming conditions. The developed constitutive model showed good predictability. The apparent activation energy of diffusion bonded (440 – 510 kJ • mole-1) and heat-treated (400 kJ • mole-1) alloys indicated that dynamic recrystallization and recovery are the primary deformation mechanisms. The processing maps revealed that diffusion bonding expanded the instability domain and lowered the dissipation efficiency, limiting the safe working conditions of the alloy. The analysis of deformed microstructure validated the findings of processing maps. The optimal processing conditions of 800 °C/ 0.0001 s-1 and 850 °C/ 0.0001 s-1 are discovered for diffusion-bonded and heat-treated alloys, respectively.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3