M
Michael R. Hill
Researcher at University of California, Davis
Publications - 149
Citations - 3047
Michael R. Hill is an academic researcher from University of California, Davis. The author has contributed to research in topics: Residual stress & Stress (mechanics). The author has an hindex of 27, co-authored 135 publications receiving 2396 citations. Previous affiliations of Michael R. Hill include Kaiserslautern University of Technology & University of California.
Papers
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Journal ArticleDOI
Residual stress, stress relief, and inhomogeneity in aluminum plate
Michael B. Prime,Michael R. Hill +1 more
TL;DR: In this paper, through-thickness residual-stress profiles in rolled 7050-T74 aluminum plate were measured before and after stress relief by stretching (-T x 51).
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The Effects of Laser Peening and Shot Peening on High Cycle Fatigue in 7050-T7451 Aluminum Alloy
Harold Luong,Michael R. Hill +1 more
TL;DR: The high cycle fatigue performance of 7050-T7451 aluminum was investigated for untreated as-machined, laser peened, and shot peened conditions Constant amplitude, smooth fatigue tests were conducted in four-point bending at a stress ratio of R = 1 as mentioned in this paper.
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The effects of laser peening and shot peening on fretting fatigue in Ti–6Al–4V coupons
Kevin K. Liu,Michael R. Hill +1 more
TL;DR: In this paper, the effects of mechanical surface treatments on performance of Ti-6Al-4V coupons were compared with laser peened (LP) and shot peened(SP) coupons, and data generated to compare residual stress, surface condition, lifetime and fractographic detail encountered for each.
Journal ArticleDOI
Online Learning, Offline Outcomes: Online Course-Taking and High School Student Performance.
TL;DR: This article used fixed effects models to estimate differences in contemporaneous and downstream academic outcomes for students who take courses virtually and face-to-face, both for initial attempts and subsequent attempts.
Journal ArticleDOI
Uncertainty, Model Error, and Order Selection for Series-Expanded, Residual-Stress Inverse Solutions
Michael B. Prime,Michael R. Hill +1 more
TL;DR: In this paper, the authors present a comprehensive uncertainty analysis and order selection methodology, with detailed development for the slitting method, and demonstrate that an optimal order for the series expansion can usually be chosen by minimizing the estimated uncertainty in the calculated stresses.