SUMMARYTolerance allocation influences production costs in a big way. For this reason it is very important to have an accurate study about the effects of manufacturing errors on the functioning and performances of linkages. In this paper, the authors present a computer-aided methodology based on a 3D geometrical approach using the dual-algebra fundamentals. The purpose is to give an useful tool which can be integrated into CAD software in order to evaluate the performances of spatial mechanisms with mechanical errors. The proposed methodology has been validated by means of experimental tests on a Cardan joint mechanism with clearances, misalignments and dimensional errors.
The paper deals with an experimental assessment\ud of the Leap Motion Controller®. This device is able to\ud track the user’s hands in a real environment. Due to lowinvasiveness\ud and easiness of use, it is promising for the\ud integration in virtual or augmented reality, research and entertainment\ud scenarios. The assessment is performed in a real\ud context using volunteers that were asked to point with the\ud fingertips to a set of predefined locations in space. A specific\ud test rig has been designed and built. It is comprised of a transparent\ud plate supported by adjustable pillars and mounted over\ud the Leap. The data are processed to assess the errors in tracking\ud the five fingertips of the right hand. Results show that\ud the accuracy and precision of the Leap is suitable for robust\ud tracking of the user’s hand. The results also unveil that there\ud are preferable zones in which the tracking performance is\ud better
The 2014 Formula 1 season was characterized by the return of supercharging through turbocharger in a complex hybrid propulsion system. The new direct-injection turbocompound engines V6 of 1600cc have innovative systems for the recovery of the energy otherwise wasted (Energy Recovery System-ERS). The following article introduces a one-dimensional simulation of two different engine concepts. The first one is the "split turbocharger" arrangement that allows the design of a very short "log" exhaust; the other with a traditional short-shaft turbocharger that needs a more complex and longer "tubular" exhaust. The paper demonstrates that the longer "tubular" exhaust dissipates more energy that the shorter "log" one. In this way, the efficiency is impaired and the "log" exhaust makes it possible to have more energy available to the wheels with the same amount of fuel and with the same limitation on the fuel flow. Therefore, with the current limitations in the fuel, the "log" exhaust / split-turbo arrangement is more convenient for current Formula 1 engines. In this paper, loads, pressures, power and speed of the various components of the turbocompound engine were simulated. A standard turbocharger compressor and turbine were used for the log and tubular exhaust arrangement and the results were compared. Even if the turbocharger matching is not optimal, in fact the boost pressure does not reach the maximum allowed, the comparison between the two arrangements is still valid.
The paper deals with the description of a new methodology for addressing the modelling for static and dynamic simulation of the cross-axis flexural pivot. The proposed methodology is based on the use of the dynamic spline formulation for describing the deformation of the structure using reference points. By using this approach, the very large displacement of the compliant pivot can be modelled using a reduced number of variables. The methodology has been formulated to be also suitable for an integration with an augmented reality interactive design environment. The results coming from the simulations (both static and dynamic) of the proposed model have been compared to those of an equivalent finite element model and show very good accordance. The proposed methodology is able to take into account the nonlinear aspects and it is suitable for real-time computation. An example of implementation in an augmented reality interactive design environment has been successfully implemented
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.