Effect of robotic weaving motion on mechanical and microstructural characteristics of wire arc additively manufactured NiTi shape memory alloy

IF 0.7 4区材料科学 Q4 METALLURGY & METALLURGICAL ENGINEERING

International Journal of Materials Research Pub Date : 2023-10-01 DOI:10.1515/ijmr-2022-0272

Karuna Kumar Gonela, Chakkravarthy Vijayavarman, Manojkumar Palanivel, Lakshmanan Mariappan, Lakshmi Narayan Ramasubramanian, Arasappan Rajesh Kannan

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引用次数: 1

Abstract

Abstract The effect of robotic weaving motion on the crystallographic orientation, texture and mechanical properties of thin-walled nickel titanium shape memory alloy fabricated via wire arc additive manufacturing is studied. Crystallographic orientation analysis reveals that the weaving motion alters the epitaxial growth of grains, which reduces the fraction of (001) oriented grains but increased the fraction of (110) and (111) oriented grains. Moreover, the weaving motion increases the fraction of equiaxed grains and homogeneously distributes Ni 4 Ti 3 phases. These changes improve the hardness and strength of the build and also introduce isotropy in mechanical properties. Results of the study reveal that arc weaving strategy has a great potential in achieving near isotropic tensile characteristics and is beneficial in terms of tailoring texture in building nickel titanium thin-walled smart material structures.

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机器人编织运动对丝弧增材制造NiTi形状记忆合金力学和显微组织特性的影响

摘要研究了机器人编织运动对电弧增材制造薄壁镍钛形状记忆合金晶体取向、织构和力学性能的影响。晶体取向分析表明，织构运动改变了晶粒的外延生长，减少了(001)取向晶粒的比例，增加了(110)和(111)取向晶粒的比例。织构运动增加了等轴晶粒的比例，使Ni 4 Ti 3相分布均匀。这些变化提高了构建的硬度和强度，也引入了机械性能的各向同性。研究结果表明，弧编织策略在实现近各向同性拉伸特性方面具有很大的潜力，有利于构建镍钛薄壁智能材料结构的裁剪纹理。

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来源期刊

International Journal of Materials Research 工程技术-冶金工程

CiteScore

1.30

自引率

12.50%

发文量

119

审稿时长

6.4 months

期刊介绍： The International Journal of Materials Research (IJMR) publishes original high quality experimental and theoretical papers and reviews on basic and applied research in the field of materials science and engineering, with focus on synthesis, processing, constitution, and properties of all classes of materials. Particular emphasis is placed on microstructural design, phase relations, computational thermodynamics, and kinetics at the nano to macro scale. Contributions may also focus on progress in advanced characterization techniques. All articles are subject to thorough, independent peer review.