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Investigation on Processing Maps of Diffusion Bonding Process Parameters for Ti-6Al-4 V/AISI304 Dissimilar Joints.

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Title: Investigation on Processing Maps of Diffusion Bonding Process Parameters for Ti-6Al-4 V/AISI304 Dissimilar Joints.
Authors: Arun Negemiya, A.1 (AUTHOR), Shankar, A. N.2 (AUTHOR), Guruprasad, B.3 (AUTHOR), Prakash, B.4 (AUTHOR), Dineshkumar, S.5 (AUTHOR), Batu, Areda6 (AUTHOR), Rajakumar, S.7 (AUTHOR)
Source: Advances in Materials Science & Engineering. 10/12/2021, p1-9. 9p.
Subjects: Diffusion processes, Metallic oxides, Oxide coating, Shear strength, Titanium alloys, Titanium oxides
Abstract: The diffusion bonding (DB) method is used in this investigation to connect high-temperature dissimilar materials. The existence of difficult-to-remove oxide coatings on the titanium surfaces, as well as the arrangement of breakable metallic interlayers and oxide enclosures inside the bond region, provides the most significant challenges during the transition from AISI304 to Ti-6Al-4V alloying. In addition, an effort was made to advance DB processing maps for the operational connection of Ti-6Al-4V to AISI304 alloys to improve their performance. Joints had been created by combining several process factors, such as bonding temperature (T), bonding pressure (P), and holding time (t), to create diverse designs. Based on the findings, database processing maps were created. This set of processing maps may be used as a rough guideline for selecting appropriate DB process parameters for generating virtuous excellent bonds between Ti-6Al-4V and AISI304 alloys. The maximum lap shear strength (LSS) was achieved at 800°C, 15 MPa, and 45 min. [ABSTRACT FROM AUTHOR]
Copyright of Advances in Materials Science & Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Investigation on Processing Maps of Diffusion Bonding Process Parameters for Ti-6Al-4 V/AISI304 Dissimilar Joints.
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  Data: The diffusion bonding (DB) method is used in this investigation to connect high-temperature dissimilar materials. The existence of difficult-to-remove oxide coatings on the titanium surfaces, as well as the arrangement of breakable metallic interlayers and oxide enclosures inside the bond region, provides the most significant challenges during the transition from AISI304 to Ti-6Al-4V alloying. In addition, an effort was made to advance DB processing maps for the operational connection of Ti-6Al-4V to AISI304 alloys to improve their performance. Joints had been created by combining several process factors, such as bonding temperature (T), bonding pressure (P), and holding time (t), to create diverse designs. Based on the findings, database processing maps were created. This set of processing maps may be used as a rough guideline for selecting appropriate DB process parameters for generating virtuous excellent bonds between Ti-6Al-4V and AISI304 alloys. The maximum lap shear strength (LSS) was achieved at 800°C, 15 MPa, and 45 min. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Advances in Materials Science & Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 10/12/2021
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