About

Jinbo Wang is an Associate Professor at Texas A&M University in the College of Arts and Sciences, specializing in physical oceanography, geophysical fluid dynamics, and satellite oceanography. His research focuses on the role of the upper ocean in the Earth's climate system, with particular attention to small-scale processes that are not captured in low-resolution climate models or conventional satellite altimetry. Prior to his current position, he worked on the Surface Water and Ocean Topography (SWOT) mission and led its mission validation field campaigns. His research approach combines theory, simulations, and observations. Dr. Wang has co-chaired the U.S. CLIVAR POS panel and several working groups related to SWOT, upper-ocean submesoscale processes, and the application of machine learning in oceanography. He holds a Ph.D. and an M.S. in Physical Oceanography from the MIT/WHOI Joint Program and has a background in Atmospheric Sciences and Meteorology from Peking University and Lanzhou University, respectively.

Research topics

• Computer Science
• Composite material
• Materials science
• Mechanical engineering
• Physics
• Optics
• Polymer science
• Metallurgy
• Engineering
• Geometry
• Structural engineering

Selected publications

• Debinding and sintering of copper powder material extrusion parts with a polylactide binder

  Journal of Manufacturing Processes · 2026-01-24

  article
  PublisherDOI

• Highlights on Crafting an ASEE-JET Article

  ASEE Journal of Engineering Technology · 2025-04-18

  articleOpen accessSenior author

  This article provides essential guidance for prospective authors, presenting submission requirements, manuscript expectations, and key considerations for successfully publishing in JET.

  PublisherOA PDFDOI

• An Artificial Intelligence Application for In-Process Springback Control of Sheet Metal Bending

  Journal of Manufacturing Science and Engineering · 2025-01-27 · 3 citations

  articleSenior author

  Abstract Bending is the fastest and most efficient process commonly used in the industry for processing thin metal sheets into three-dimensional shapes by localized deformation using only a single geometrical die. However, suppliers provide metal sheets with variations in dimension and mechanical properties, which causes inconsistencies in the final angle after bending. This requires manual checking and correction of each angle, resulting in inefficiency. The problem can be resolved by considering the variations in the sheets and adjusting the bending stroke accordingly. This study used neural network technology to create a model that predicts the final stroke required based on load measurements during the bending process. The model was implemented and validated using a laboratory press. With a root-mean-square error of less than 0.27 deg, the model demonstrates its feasibility for practical industrial applications within the range of its training data.

  PublisherDOI

• In-Line Monitoring of Balling Phenomenon in Directed Energy Deposition Processes

  Journal of Manufacturing Science and Engineering · 2025-11-21

  article

  Abstract We develop two in-line monitoring methods—the contact angle (CA) method and the weighted mask (WM) method—to efficiently detect balling phenomenon in directed energy deposition (DED) processes. These methods are designed to support process developers in controlling the process and minimizing instability. The CA method monitors the melt pool's CA as a direct and explicit indicator for detecting balling, while the WM method generates an evaluation number that reflects the likelihood of balling occurrence in an implicit but faster manner. Experimental validation compares the WM method and an existing acoustic-based audible sound method against the CA method using the same dataset of high-speed videos. Using eight threads of an AMD Ryzen™ 9 7940HS CPU, the CA and WM methods achieved processing speeds of 665 fps and 903 fps, respectively. These results demonstrate that both methods are well-suited for real-time, in-line feedback control in DED additive manufacturing, enabling improved defect detection, adaptive process control, and optimization of DED parameters.

  PublisherDOI

• An experimental investigation of selective laser melting for coating of WC Co powder on steel substrates

  Applications in Engineering Science · 2025-02-23 · 3 citations

  articleOpen accessSenior authorCorresponding

  The performance of metal forming dies heavily depends on their surface characteristics including surface roughness and hardness. In forming complex part geometry, advanced die technologies are often used to control material flow such that wrinkling or fracture of workpiece can be prevented. This research investigate the use of selective laser melting (SLM) process to selectively coat WC Co on steel substrates to potentially improve metal forming die performance. Experiments were conducted to study the effects of volumetric energy density (VED) on the integrity and properties of the resulting surface. Instruments including microscopy, interferometry, spectroscopy, and hardness measurements were used to characterize the coated surfaces. The results show that coating defect such as cracks and spatters can be reduced with increased VED. The coating hardness, in general, decreases with increased VED. As stainless steel and H13 tool steel were used as the substrate, the study also identified that the thermal conductivity of the substrate material play a significant role in crack formation. It is also found that surface preparation, through machining, can affect the retention of the powder and lead to a higher surface hardness. Overall the hardness increase ranged from 200 % to 300 %. The conclusions of the present work can be used as a guide for developing high performance coating on sheet metal forming dies.

  PublisherDOI

• Elastic properties of honeycombs with spline curve cell walls

  Mechanics of Materials · 2024-03-16 · 13 citations

  articleSenior author
  PublisherDOI

• Effect of printing parameters on the mechanical and piezoresistive response of cellular structures manufactured with a conductive polylactic acid nanocomposite through a material extrusion process

  Journal of Manufacturing Processes · 2024-11-08 · 7 citations

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  PublisherDOI

• Effects of Aluminum Plate Initial Residual Stress on Machined-Part Distortion

  Journal of Manufacturing Science and Engineering · 2024-08-02 · 1 citations

  articleOpen access

  Abstract Dimensional tolerances for high-speed-machined aluminum products continue to tighten due to the demand for automated assembly of complex monolithic parts in aerospace and other industries. Understanding the contribution of inherent residual stress in wrought Al 7050-T7451 plate, common in aircraft manufacture, to distortion of high-aspect-ratio machined parts is critical but remains problematic due to the alloy's low residual stress magnitude over large geometries. Prior investigations into residual stress effects on machined part distortion suffer inadequate characterizations of the wrought material stress field, either because of low fidelity due to “slitting” methods, confounding effects in machined-layer removal methods, or small sample size when using neutron diffraction (ND). In this work, inherent residual stress is measured via ND at 860 locations in a 90.5 mm thick Al 7050-T7451 plate having dimensions 399 mm in the rolling direction and 335 mm in the transverse direction. Unlike prior studies, the ND residual stress is reconstructed using an iterative algorithm to ensure fully compatible, equilibrated 3D field prior to examining its effect on distortion. The findings from simulations and experiments show that inherent residual stress alone could distort a high-aspect-ratio part beyond aerospace industry requirements, that slitting measurements may not sufficiently characterize residual stress for predicted distortion, and that parts machined from different plate thickness locations could exhibit reversed distortion patterns. Thus, research into distortion prediction that considers machining should carefully characterize and reconstruct inherent residual stress so that the coupled machining effects are accurately modeled.

  PublisherOA PDFDOI

• Formability prediction of perforated sheet metal by representative volume element and homogenized sheet models

  Manufacturing Letters · 2024-09-30 · 1 citations

  articleSenior author
  PublisherDOI

• Summative Performance Evaluation of a 3-Year NSF-REU Site on Metrology & Inspection

  2021 ASEE Virtual Annual Conference Content Access Proceedings · 2024-02-20

  articleOpen accessSenior author

  Abstract The objective of this paper is to detail the summative performance evaluation of a three year National Science Foundation (NSF) Research Experiences for Undergraduates (REU) site on metrology and non-destructive inspection (NDI), with emphasis on the student gains from the program and changes to participant research self-efficacy. The goal of this REU site was to enhance the knowledge and skill level of a diverse cohort of undergraduates through empowering, hands-on and interdisciplinary research experiences in metrology and NDI technologies. This site was a direct response to a recurring concern raised by industry partners and technical workforce recruiters about the lack of pragmatic metrology/NDI-related knowledge and skills in their incoming workforce. Over the past three years, a total of 30 REU students progressed through and completed the program. Project evaluation involved analyzing participant applications, pre-program and post-program surveys, and tracking the participant progression towards graduate school or STEM careers via the LinkedIn network. An external evaluator appraised whether this site met its recruitment goals, monitored those gains from the program, participant perception of program administration, impact on the career plans of the participants, and also the changes to participant research self-efficacy. Additionally, participants were probed to understand the impact of grouping REU student pairs within a larger vertically-integrated project (VIP) team framework, and to elucidate how the team makeup and dynamics contributed to the overall site objectives. Altogether, the experience, outcomes and lessons learned from this REU site operation are expected to guide the effective and efficient operation of future REU sites as well as undergraduate research projects in general.

  PublisherOA PDFDOI

Recent grants

• Hydroforming of Sandwich Panels

  NSF · $299k · 2008–2013

• EAGER: Cybermanufacturing: Pervasive Cyber-enabled Manufacturing

  NSF · $100k · 2015–2018

• CAREER: Research and Education on Deformation of Coated Materials

  NSF · $416k · 2005–2011

Frequent coauthors

• Mathew Kuttolamadom

  Clemson University

  29 shared

• Taekwang Ha

  Texas A&M University

  20 shared

• Michael Johnson

  Texas A&M University

  14 shared

• Torgeir Welo

  12 shared

• Bruce L. Tai

  Texas A&M University

  12 shared

• Geir Ringen

  11 shared

• Duane A. McVay

  Texas A&M University

  10 shared

• Walter B. Ayers

  Texas A&M University

  10 shared

Education

• Ph.D., Mechanical Engineering

  Northwestern University

  1991