Zhang Zhao

Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates

Main positions:Professor in Process Mechanics

Gender:Male

Alma Mater:Dalian University of Technology

Degree:Doctoral Degree

School/Department:Department of Engineering Mechanics, Dalian University of Technology

Discipline:mechanics of manufacturing process. Engineering Mechanics. Computational Mechanics

Business Address:Room 619,Integrated Laboratory building (1#)

Contact Information:+86-411-84708432 zhangz@dlut.edu.cn

E-Mail:zhangz@dlut.edu.cn


Paper Publications

A review on in situ monitoring technology for directed energy deposition of metals

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Indexed by:Journal Papers

First Author:Tang, Zi-jue

Correspondence Author:Liu, WW (corresponding author), Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China.

Co-author:Liu, Wei-wei,Wang, Yi-wen,Saleheen, Kaze Mojtaba,Liu, Zhi-chao,Peng, Shi-tong,Zhang, Zhao,Zhang, Hong-chao

Date of Publication:2020-06-01

Journal:INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Included Journals:SCIE

Volume:108

Issue:11-12

Page Number:3437-3463

ISSN No.:0268-3768

Key Words:In situ monitoring; Additive manufacturing; Directed energy deposition; Molten pool; Laser deposition

Abstract:Directed energy deposition (DED) is an important additive manufacturing method for producing or repairing high-end and high-value equipment. Meanwhile, the lack of reliable and uniform qualities is a key problem in DED applications. With the development of sensing devices and control systems, in situ monitoring (IM) and adaptive control (IMAC) technology is an effective method to enhance the reliability and repeatability of DED. In this paper, we review current IM technologies in IMAC for metal DED. First, this paper describes the important sensing signals and equipment to exhibit the research status in detail. Meanwhile, common problems that arise when gathering these signals and resolvent methods are presented. Second, process signatures obtained from sensing signals and transfer approaches from sensing signals for processing signatures are shown. Third, this work reviews the developments of the IM of product qualities and illustrates ways to realize quality monitoring. Lastly, this paper specifies the main existing problems and future research of IM in metal DED.

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Profile

Zhang Zhao, Ph.D., Professor in Process Mechanics.

Editorial member in Coatings (IF:2.881) from 2020 to 2022.

Editorial member in Crystals (IF:2.589) from 2020 to 2022.

Younth editorial member in Journal of Central South University(IF:1.716) from 2020 to 2022.

Professor Zhang has published more than 60 SCI publications with over 1100 citations. He served as reviewers for more than 30 international journals. His main pulications can be found:

https://orcid.org/0000-0001-7181-8617

https://publons.com/researcher/1987190/zhao-zhang/

The scientific research focuses on experimental and numerical works on friction stir welding/processing/additive manufacturing, numerical modelling and simulation of additive manufacuring, topological design of phononic crystals, locomotive and high speed train design.