Oct 2026· Applied Thermal Engineering· 22 references
Thermography and Photoacoustic Techniques
Abstract
This paper proposes a two-dimensional Angstrom two-point inversion method for measuring the in-plane dynamic thermal diffusivity of flat-plate devices such as vapor chambers under periodic thermal excitation. The method overcomes the limitations of steady-state thermal resistance tests in characterizing dynamic diffusion responses and those of conventional one-dimensional Angstrom models in describing radial thermal-wave propagation in plates. Based on the two-dimensional unsteady heat conduction equation and the far-field approximation of cylindrical thermal waves, a two-point inversion model incorporating geometric spreading correction is established. Temperature-wave amplitudes and phases are extracted via Levenberg-Marquardt nonlinear sinusoidal fitting, enabling calculation of the apparent directional equivalent thermal diffusivity. The method was validated using pure copper, 6063 aluminum alloy, and 304 stainless steel thin plates; measured diffusivities agreed with theoretical values in order of magnitude and exhibited good directional consistency. The method was subsequently applied to an Al6063-R1233zd vapor chamber. Results show that the excitation period strongly affects far-point signal quality and inversion stability. As the period increases from 60 s to above 150 s, the far-point fitting goodness R 2 improves from approximately 0.68 to above 0.88 and stabilizes near 0.95 at longer periods. The apparent directional equivalent thermal diffusivity of the vapor chamber first increases and then stabilizes with increasing period, indicating that the proposed method can capture its dynamic in-plane thermal diffusion response with limited measurement points and low experimental complexity.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.