A
Adam Hansel
Researcher at University of California, Davis
Publications - 4
Citations - 139
Adam Hansel is an academic researcher from University of California, Davis. The author has contributed to research in topics: Machining & Finite element method. The author has an hindex of 4, co-authored 4 publications receiving 114 citations.
Papers
More filters
Journal ArticleDOI
Machine monitoring system based on MTConnect technology
TL;DR: In this paper, the authors introduce a web-based machine monitoring system that provides data collection, analysis, and machine event notification for MTConnect compatible machines, providing shop managers with the information needed to improve process efficiency on the shop floor, and increase overall equipment effectiveness (OEE).
Journal ArticleDOI
Influence of metal powder characteristics on product quality with directed energy deposition of Inconel 625
Yasuhiro Kakinuma,Masahiko Mori,Yohei Oda,Takanori Mori,Makoto Kashihara,Adam Hansel,Makoto Fujishima +6 more
TL;DR: In this paper, the influence of the powder characteristics of Inconel 625 was focused upon, and the void density and compositional change inside the deposited part were analyzed, which indicated that a slight amount of carbon in the particle caused void generation and a carbon layer was formed at the surface.
Journal ArticleDOI
Study on Consistently Optimum Deposition Conditions of Typical Metal Material Using Additive/Subtractive Hybrid Machine Tool☆
Adam Hansel,Masahiko Mori,Makoto Fujishima,Yohei Oda,Greg Hyatt,Enrique J. Lavernia,Jean-Pierre Delplanque +6 more
TL;DR: In this paper, a primary study was conducted to define combinations of additive process parameters and nozzle selection that result in quality work pieces, and a Taguchi analysis suggested desired work piece quality is achievable on a hybrid machine platform by adjusting AM process parameters.
Journal ArticleDOI
Improving CNC Machine Tool Geometric Precision Using Manufacturing Process Analysis Techniques
TL;DR: In this paper, a high-fidelity model of the corresponding error at each manufacturing step can be achieved that is not physically measurable due to constraints of measurement equipment, using simulated data as offset data in the machining process as well as in the jig and fixture design.