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Design of Experiments to OPTIMIZE design solutions for a Power reduction Gearbox

Project

OPTIMIZE - Design of Experiments to OPTIMIZE design solutions for a Power reduction Gearbox


Funding origin:
European
European Union
STRIA Roadmaps:
Vehicle design and manufacturing (VDM)
Vehicle design and manufacturing
Transport mode:
Airborne
Airbone
Transport sectors:
Passenger transport
Passenger transport
Freight transport
Freight transport
Project website:
Duration:
Start date: 01/10/2014,
End date: 01/06/2016

Status: Finished
Funding details:
Total cost:
€599 709
EU Contribution:
€449 782

Overview

Objectives:

The project's goal was the realisation of a dedicated experimental DOE, to evaluate the effect of tolerance variation in the gear efficiency.

Users of cylindrical gears in aeronautics demand continuous improvement such as increased power density, lightweight, compact size, reduced manufacturing costs, reduced noise, increased reliability and reduced operating costs.

From one point of view, causes of gear failure may include a design error, an application error, or a manufacturing error. Design errors include such factors as improper gear geometry, utilisation of the wrong materials, finishing quality levels, lubrication systems, or other specifications.

In this project the effect of variation of Pressure angle (α), Total cumulative pitch deviation (Fp), Total profile deviation (Fα) and Total helix deviation (Fβ) were analysed using a full factorial DOE to analyse 4 X’s variables at 2 levels, in order to study the following Y’s effects; Load capacity (contact pressure, root bending stress), Teeth wear (pitting, scoring/scuffing), Noise (transmission error) and Power losses.

With the support of Load Tooth Contact Analysis tools (LTCA) it was also possible to predict the transmission error graph with or without load and it is possible to display the grids of the bearing pattern and transmission error, with or without load, shaft angle, or run out to produce a map envelop of the expected behaviour of the gear set. Actual difficulty of these prediction tools was the lack of validation studies available. A specific numerical and experimental study was performed in order to analyse the effect of tooth profile optimization.

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